Academic Profile : Faculty
Prof Tao Dacheng
Distinguished University Professor, College of Computing & Data Science
Professor, College of Computing & Data Science
Distinguished University Professor, Lee Kong Chian School of Medicine (Courtesy Appointment)
Email
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Shiye Lei, Dacheng Tao: A Comprehensive Survey of Dataset Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 17-32 (2024)
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao: ViTPose++: Vision Transformer for Generic Body Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1212-1230 (2024)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao: A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023)
Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama: Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023)
Xikun Zhang, Dongjin Song, Dacheng Tao: Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4622-4636 (2023)
Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao: Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5481-5496 (2023)
Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6594-6601 (2023)
Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao: TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7853-7869 (2023)
Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao: IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023)
Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao: WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9186-9205 (2023)
Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang: Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11270-11282 (2023)
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao: Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12236-12249 (2023)
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao: Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12321-12340 (2023)
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13941-13958 (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao: Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14453-14464 (2023)
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao: End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14481-14496 (2023)
Youjian Zhang, Chaoyue Wang, Dacheng Tao: Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15203-15218 (2023)
Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao: Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322: 103951 (2023)
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh: Problem-dependent power of quantum neural networks on multiclass classification. Physical Review Letters 131 (14), 140601 (2023)
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao: ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. Int. J. Comput. Vis. 131(5): 1141-1162 (2023)
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao: Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131(7): 1825-1839 (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao: Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023)
Sihan Ma, Jizhizi Li, Jing Zhang, He Zhang, Dacheng Tao: Rethinking Portrait Matting with Privacy Preserving. Int. J. Comput. Vis. 131(8): 2172-2197 (2023)
Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, Dacheng Tao, Xuelong Li: Learning Geometric Transformation for Point Cloud Completion. Int. J. Comput. Vis. 131(9): 2425-2445 (2023)
Zhe Chen, Jing Zhang, Yufei Xu, Dacheng Tao: Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection. Int. J. Comput. Vis. 131(10): 2738-2756 (2023)
Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao: Deep Corner. Int. J. Comput. Vis. 131(11): 2908-2932 (2023)
Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao: Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131(11): 2959-2976 (2023)
Stephen J. Maybank, Liu Liu, Dacheng Tao: Generalised Watson Distribution on the Hypersphere with Applications to Clustering. J. Math. Imaging Vis. 65(2): 302-322 (2023)
Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao: An Empirical Study of Remote Sensing Pretraining. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023)
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang: Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao: Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 563-578 (2022)
Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao: Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1474-1488 (2022)
Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao: Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1992-2003 (2022)
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao: Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022)
Chaohui Wang, Huan Fu, Dacheng Tao, Michael J. Black: Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2641-2656 (2022)
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao: Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2657-2672 (2022)
Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao: Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4163-4177 (2022)
Liu Liu, Ji Liu, Dacheng Tao: Variance Reduced Methods for Non-Convex Composition Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5813-5825 (2022)
Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao: End2End Occluded Face Recognition by Masking Corrupted Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6939-6952 (2022)
Youjian Zhang, Chaoyue Wang, Stephen J. Maybank, Dacheng Tao: Exposure Trajectory Recovery From Motion Blur. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7490-7504 (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao: Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7731-7746 (2022)
Baosheng Yu, Dacheng Tao: Heatmap Regression via Randomized Rounding. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8276-8289 (2022)
Hao Wang, Cheng Deng, Tongliang Liu, Dacheng Tao: Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9181-9194 (2022)
Yuxuan Du, Zhuozhuo Tu, Xiao Yuan, Dacheng Tao: Efficient measure for the expressivity of variational quantum algorithms. Physical Review Letters 128 (8), 080506 (2022)
Xu-Fei Yin, Yuxuan Du, Yue-Yang Fei, Rui Zhang, Li-Zheng Liu, Yingqiu Mao, Tongliang Liu, Min-Hsiu Hsieh, Li Li, Nai-Le Liu, Dacheng Tao, Yu-Ao Chen, Jian-Wei Pan: Efficient bipartite entanglement detection scheme with a quantum adversarial solver. Physical Review Letters 128 (11), 110501 (2022)
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao: Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022)
Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao: Bridging Composite and Real: Towards End-to-End Deep Image Matting. Int. J. Comput. Vis. 130(2): 246-266 (2022)
Yuxiang Yang, Qi Cao, Jing Zhang, Dacheng Tao: CODON: On Orchestrating Cross-Domain Attentions for Depth Super-Resolution. Int. J. Comput. Vis. 130(2): 267-284 (2022)
Jinlong Fan, Jing Zhang, Stephen J. Maybank, Dacheng Tao: Wide-Angle Image Rectification: A Survey. Int. J. Comput. Vis. 130(3): 747-776 (2022)
Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao: A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. 130(3): 777-799 (2022)
Bo Du, Jian Ye, Jing Zhang, Juhua Liu, Dacheng Tao: I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection. Int. J. Comput. Vis. 130(8): 1961-1977 (2022)
Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao: One-Shot Object Affordance Detection in the Wild. Int. J. Comput. Vis. 130(10): 2472-2500 (2022)
Sen Zhang, Jing Zhang, Dacheng Tao: Information-Theoretic Odometry Learning. Int. J. Comput. Vis. 130(11): 2553-2570 (2022)
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao: Quantum circuit architecture search for variational quantum algorithms. NPJ Quantum Information 8 (1), 62 (2022)
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao: ViTPose++: Vision Transformer for Generic Body Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1212-1230 (2024)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao: A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023)
Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama: Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023)
Xikun Zhang, Dongjin Song, Dacheng Tao: Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4622-4636 (2023)
Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao: Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5481-5496 (2023)
Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6594-6601 (2023)
Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao: TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7853-7869 (2023)
Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao: IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023)
Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao: WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9186-9205 (2023)
Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang: Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11270-11282 (2023)
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao: Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12236-12249 (2023)
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao: Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12321-12340 (2023)
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13941-13958 (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao: Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14453-14464 (2023)
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao: End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14481-14496 (2023)
Youjian Zhang, Chaoyue Wang, Dacheng Tao: Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15203-15218 (2023)
Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao: Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322: 103951 (2023)
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh: Problem-dependent power of quantum neural networks on multiclass classification. Physical Review Letters 131 (14), 140601 (2023)
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao: ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. Int. J. Comput. Vis. 131(5): 1141-1162 (2023)
Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao: Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131(7): 1825-1839 (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao: Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023)
Sihan Ma, Jizhizi Li, Jing Zhang, He Zhang, Dacheng Tao: Rethinking Portrait Matting with Privacy Preserving. Int. J. Comput. Vis. 131(8): 2172-2197 (2023)
Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, Dacheng Tao, Xuelong Li: Learning Geometric Transformation for Point Cloud Completion. Int. J. Comput. Vis. 131(9): 2425-2445 (2023)
Zhe Chen, Jing Zhang, Yufei Xu, Dacheng Tao: Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection. Int. J. Comput. Vis. 131(10): 2738-2756 (2023)
Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao: Deep Corner. Int. J. Comput. Vis. 131(11): 2908-2932 (2023)
Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao: Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131(11): 2959-2976 (2023)
Stephen J. Maybank, Liu Liu, Dacheng Tao: Generalised Watson Distribution on the Hypersphere with Applications to Clustering. J. Math. Imaging Vis. 65(2): 302-322 (2023)
Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao: An Empirical Study of Remote Sensing Pretraining. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023)
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang: Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao: Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 563-578 (2022)
Changxing Ding, Kan Wang, Pengfei Wang, Dacheng Tao: Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1474-1488 (2022)
Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao: Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1992-2003 (2022)
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao: Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022)
Chaohui Wang, Huan Fu, Dacheng Tao, Michael J. Black: Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2641-2656 (2022)
Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao: Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2657-2672 (2022)
Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao: Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4163-4177 (2022)
Liu Liu, Ji Liu, Dacheng Tao: Variance Reduced Methods for Non-Convex Composition Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5813-5825 (2022)
Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao: End2End Occluded Face Recognition by Masking Corrupted Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6939-6952 (2022)
Youjian Zhang, Chaoyue Wang, Stephen J. Maybank, Dacheng Tao: Exposure Trajectory Recovery From Motion Blur. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7490-7504 (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao: Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7731-7746 (2022)
Baosheng Yu, Dacheng Tao: Heatmap Regression via Randomized Rounding. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8276-8289 (2022)
Hao Wang, Cheng Deng, Tongliang Liu, Dacheng Tao: Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9181-9194 (2022)
Yuxuan Du, Zhuozhuo Tu, Xiao Yuan, Dacheng Tao: Efficient measure for the expressivity of variational quantum algorithms. Physical Review Letters 128 (8), 080506 (2022)
Xu-Fei Yin, Yuxuan Du, Yue-Yang Fei, Rui Zhang, Li-Zheng Liu, Yingqiu Mao, Tongliang Liu, Min-Hsiu Hsieh, Li Li, Nai-Le Liu, Dacheng Tao, Yu-Ao Chen, Jian-Wei Pan: Efficient bipartite entanglement detection scheme with a quantum adversarial solver. Physical Review Letters 128 (11), 110501 (2022)
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao: Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130(1): 179-198 (2022)
Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao: Bridging Composite and Real: Towards End-to-End Deep Image Matting. Int. J. Comput. Vis. 130(2): 246-266 (2022)
Yuxiang Yang, Qi Cao, Jing Zhang, Dacheng Tao: CODON: On Orchestrating Cross-Domain Attentions for Depth Super-Resolution. Int. J. Comput. Vis. 130(2): 267-284 (2022)
Jinlong Fan, Jing Zhang, Stephen J. Maybank, Dacheng Tao: Wide-Angle Image Rectification: A Survey. Int. J. Comput. Vis. 130(3): 747-776 (2022)
Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao: A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. 130(3): 777-799 (2022)
Bo Du, Jian Ye, Jing Zhang, Juhua Liu, Dacheng Tao: I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection. Int. J. Comput. Vis. 130(8): 1961-1977 (2022)
Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao: One-Shot Object Affordance Detection in the Wild. Int. J. Comput. Vis. 130(10): 2472-2500 (2022)
Sen Zhang, Jing Zhang, Dacheng Tao: Information-Theoretic Odometry Learning. Int. J. Comput. Vis. 130(11): 2553-2570 (2022)
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao: Quantum circuit architecture search for variational quantum algorithms. NPJ Quantum Information 8 (1), 62 (2022)
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, and Dacheng Tao: SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection. AAAI 2024
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, and Dacheng Tao: TD$^2$-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI 2024
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, and Dacheng Tao: Multi-step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI 2024
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao: AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao: Convergence of Bayesian Bilevel Optimization. ICLR 2024
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao: Parameter-Efficient Multi-Task Model Fusion with Partial Linearizeation. ICLR 2024
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang: One For All: Towards Training One Graph Model For All Classification Tasks. ICLR 2024
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao: Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR 2024
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao: Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR 2024
Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao: Learning to Learn Better for Video Object Segmentation. AAAI 2023: 1205-1212
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao: DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. AAAI 2023: 3241-3249
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao: Offline Quantum Reinforcement Learning in a Conservative Manner. AAAI 2023: 7148-7156
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao: FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI 2023: 10095-10103
Xinqi Zhu, Chang Xu, Dacheng Tao: ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang: Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao: Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. AAAI 2023: 15313-15321
Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao: CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) 2023: 671-687
Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao: Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) 2023: 841-850
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo: Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) 2023: 2048-2061
Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang: TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) 2023: 3614-3633
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao: Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) 2023: 4130-4145
Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao: Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) 2023: 5892-5907
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao: Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) 2023: 10391-10405
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao: Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) 2023: 10932-10940
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao: PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) 2023: 14354-14366
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang: Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825
Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black: Generating Holistic 3D Human Motion from Speech. CVPR 2023: 469-480
Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao: Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR 2023: 4096-4107
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao: Leverage Interactive Affinity for Affordance Learning. CVPR 2023: 6809-6819
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao: Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR 2023: 7736-7745
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi: From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang: Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR 2023: 11299-11308
Cheng Wen, Baosheng Yu, Dacheng Tao: Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR 2023: 17671-17681
Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao: TriDet: Temporal Action Detection with Relative Boundary Modeling. CVPR 2023: 18857-18866
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao: DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting. CVPR 2023: 19348-19357
Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang: Upcycling Models Under Domain and Category Shift. CVPR 2023: 20019-20028
Jizhizi Li, Jing Zhang, Dacheng Tao: Referring Image Matting. CVPR 2023: 22448-22457
Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao: CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose. CVPR 2023: 23272-23281
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao: Deep Graph Reprogramming. CVPR 2023: 24345-24354
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao: Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao: Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao: Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang: PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP 2023: 10140-10154
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao: Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP 2023: 11305-11327
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao: Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP 2023: 14685-14691
Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao: Domain Specified Optimization for Deployment Authorization. ICCV 2023: 5072-5082
Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang: Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. ICCV 2023: 11791-11801
Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao: DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. ICCV 2023: 12052-12062
Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao: Exploring Temporal Concurrency for Video-Language Representation Learning. ICCV 2023: 15522-15532
Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng: Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV 2023: 18859-18869
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao: Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV 2023: 22222-22232
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan: Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR 2023
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang: CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR 2023
Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao: Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. ICLR 2023
Chang Li, Dongjin Song, Dacheng Tao: HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR 2023
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao: FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR 2023
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao: Alternating Differentiation for Optimization Layers. ICLR 2023
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao: Symmetric Pruning in Quantum Neural Networks. ICLR 2023
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan: Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR 2023
Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao: Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. ICLR 2023
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao: Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Structured Cooperative Learning with Graphical Model Priors. ICML 2023: 20599-20622
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao: Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao: Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML 2023: 32991-33013
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao: Tilted Sparse Additive Models. ICML 2023: 35579-35604
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao: Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao: VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao: Domain Re-Modulation for Few-Shot Generative Domain Adaptation. NeurIPS 2023
Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao: All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation. NeurIPS 2023
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang. MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS 2023
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen. Towards Arbitrarily Expressive GNNs in $O(n^2)$ Space by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023
Yan Sun, Li Shen, Dacheng Tao. Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. NeurIPS 2023
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham: Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation. NeurIPS 2023
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao: Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. NeurIPS 2023
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao: Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm. NeurIPS 2023
Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao: ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. NeurIPS 2023
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang: SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. NeurIPS 2023
Zhihao Cheng, Li Shen, Dacheng Tao: Off-policy Imitation Learning from Visual Inputs. ICRA 2023: 2937-2943
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao: Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao: Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI 2023: 6712-6722
Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng: MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS 2023: 167-177
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie: Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421
Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen: DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. MICCAI (6) 2023: 591-601
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao: PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. ACM Multimedia 2023: 1924-1932
Sihan Ma, Qiong Cao, Hongwei Yi, Jing Zhang, Dacheng Tao: GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction. ACM Multimedia 2023: 2817-2828
Yiyang Chen, Shanshan Zhao, Changxing Ding, Liyao Tang, Chaoyue Wang, Dacheng Tao: Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation. ACM Multimedia 2023: 3866-3875
Jinlong Fan, Jing Zhang, Zhi Hou, Dacheng Tao: AniPixel: Towards Animatable Pixel-Aligned Human Avatar. ACM Multimedia 2023: 8626-8634
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao: X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium 2023: 3781-3798
Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao: SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. AAAI 2022: 221-229
Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao: Continual Learning through Retrieval and Imagination. AAAI 2022: 8594-8602
Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu: Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) 2022: 2417-2426
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao: A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. ACL (1) 2022: 7984-8002
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao: Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS 2022: 2055-2069
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao: On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING 2022: 5029-5034
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao: A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING 2022: 6691-6704
Yifen Li, Xiaohui Bei, Youming Qiao, Dacheng Tao, Zhiya Chen: Heterogeneous Multi-commodity Network Flows over Time. CSR 2022: 238-255
Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao: Continual Learning with Lifelong Vision Transformer. CVPR 2022: 171-181
Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao: Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. CVPR 2022: 2027-2036
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao: Learning Affordance Grounding from Exocentric Images. CVPR 2022: 2242-2251
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao: Defensive Patches for Robust Recognition in the Physical World. CVPR 2022: 2446-2455
Zhe Chen, Jing Zhang, Dacheng Tao: Recurrent Glimpse-based Decoder for Detection with Transformer. CVPR 2022: 5250-5259
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao: Source-Free Domain Adaptation via Distribution Estimation. CVPR 2022: 7202-7212
Zhi Hou, Baosheng Yu, Dacheng Tao: BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CVPR 2022: 7246-7256
Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, Dacheng Tao: Modeling Image Composition for Complex Scene Generation. CVPR 2022: 7754-7763
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao: GMFlow: Learning Optical Flow via Global Matching. CVPR 2022: 8111-8120
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao: Contrastive Boundary Learning for Point Cloud Segmentation. CVPR 2022: 8479-8489
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Learning to Collaborate in Decentralized Learning of Personalized Models. CVPR 2022: 9756-9765
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan: Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CVPR 2022: 10164-10173
Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao: DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. CVPR 2022: 12042-12052
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao: Bridged Transformer for Vision and Point Cloud 3D Object Detection. CVPR 2022: 12104-12113
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao: Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao: Few-shot Backdoor Defense Using Shapley Estimation. CVPR 2022: 13348-13357
Ruibin Wang, Yibo Yang, Dacheng Tao: ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. CVPR 2022: 14351-14360
Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao: Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. CVPR 2022: 18228-18238
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao: RU-Net: Regularized Unrolling Network for Scene Graph Generation. CVPR 2022: 19435-19444
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao: HL-Net: Heterophily Learning Network for Scene Graph Generation. CVPR 2022: 19454-19463
Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao: Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection. CVPR 2022: 19536-19545
Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao: FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. CVPR 2022: 20844-20853
Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao: Towards Data-Efficient Detection Transformers. ECCV (9) 2022: 88-105
Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao: ReAct: Temporal Action Detection with Relational Queries. ECCV (10) 2022: 105-121
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao: Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128
Sen Zhang, Jing Zhang, Dacheng Tao: Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics. ECCV (38) 2022: 143-160
Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao: BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation. ECCV (34) 2022: 165-182
Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao: Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. ECCV (26) 2022: 219-236
Zhi Hou, Baosheng Yu, Dacheng Tao: Discovering Human-Object Interaction Concepts via Self-Compositional Learning. ECCV (27) 2022: 461-478
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao: VSA: Learning Varied-Size Window Attention in Vision Transformers. ECCV (25) 2022: 466-483
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao: RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning. ECCV (33) 2022: 477-494
Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao: ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning. ECCV (38) 2022: 533-549
Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition. ECCV (37) 2022: 545-563
Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao: PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation. ECCV (27) 2022: 582-599
Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao: Online Continual Learning with Contrastive Vision Transformer. ECCV (20) 2022: 631-650
Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao: JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes. ECCV (38) 2022: 708-726
Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. ECCV (27) 2022: 729-747
Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao: SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. EMNLP (Findings) 2022: 2184-2190
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao: Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) 2022: 4064-4085
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao: TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP 2022: 11975-11992
Xikun Zhang, Dongjin Song, Dacheng Tao: Sparsified Subgraph Memory for Continual Graph Representation Learning. ICDM 2022: 1335-1340
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao: Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR 2022
Shaopeng Fu, Fengxiang He, Dacheng Tao: Knowledge Removal in Sampling-based Bayesian Inference. ICLR 2022
Jiaxian Guo, Mingming Gong, Dacheng Tao: A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR 2022
Wen Wang, Yang Cao, Jing Zhang, Dacheng Tao: FP-DETR: Detection Transformer Advanced by Fully Pre-training. ICLR 2022
Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao: Huber Additive Models for Non-stationary Time Series Analysis. ICLR 2022
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao: Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR 2022
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao: DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML 2022: 4587-4604
Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. ICML 2022: 25364-25381
Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao: Topology-aware Generalization of Decentralized SGD. ICML 2022: 27479-27503
Sen Zhang, Jing Zhang, Dacheng Tao: Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World. ICRA 2022: 5601-5607
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao: Penalized Proximal Policy Optimization for Safe Reinforcement Learning. IJCAI 2022: 3744-3750
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao: A Survey on Gradient Inversion: Attacks, Defenses and Future Directions. IJCAI 2022: 5678-5685
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao: Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. IROS 2022: 9027-9033
Ning Wang, Jing Zhang, Lefei Zhang, Dacheng Tao: GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation. ACM Multimedia 2022: 2182-2190
Xikun Zhang, Dongjin Song, Dacheng Tao: CGLB: Benchmark Tasks for Continual Graph Learning. NeurIPS 2022
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao: Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. NeurIPS 2022
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao: Benefits of Permutation-Equivariance in Auction Mechanisms. NeurIPS 2022
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao: ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation. NeurIPS 2022
Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao: Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao: Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS 2022
Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao: APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking. NeurIPS 2022
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao: Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. NeurIPS 2022
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao: Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR 2022: 2727-2737
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao: Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, and Dacheng Tao: TD$^2$-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI 2024
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, and Dacheng Tao: Multi-step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI 2024
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao: AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao: Convergence of Bayesian Bilevel Optimization. ICLR 2024
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao: Parameter-Efficient Multi-Task Model Fusion with Partial Linearizeation. ICLR 2024
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang: One For All: Towards Training One Graph Model For All Classification Tasks. ICLR 2024
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao: Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR 2024
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao: Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR 2024
Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao: Learning to Learn Better for Video Object Segmentation. AAAI 2023: 1205-1212
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao: DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. AAAI 2023: 3241-3249
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao: Offline Quantum Reinforcement Learning in a Conservative Manner. AAAI 2023: 7148-7156
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao: FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI 2023: 10095-10103
Xinqi Zhu, Chang Xu, Dacheng Tao: ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang: Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao: Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. AAAI 2023: 15313-15321
Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao: CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) 2023: 671-687
Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao: Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) 2023: 841-850
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo: Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) 2023: 2048-2061
Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang: TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) 2023: 3614-3633
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao: Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) 2023: 4130-4145
Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao: Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) 2023: 5892-5907
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao: Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) 2023: 10391-10405
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao: Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) 2023: 10932-10940
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao: PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) 2023: 14354-14366
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang: Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825
Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black: Generating Holistic 3D Human Motion from Speech. CVPR 2023: 469-480
Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao: Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR 2023: 4096-4107
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao: Leverage Interactive Affinity for Affordance Learning. CVPR 2023: 6809-6819
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao: Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR 2023: 7736-7745
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi: From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877
Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang: Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR 2023: 11299-11308
Cheng Wen, Baosheng Yu, Dacheng Tao: Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR 2023: 17671-17681
Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao: TriDet: Temporal Action Detection with Relative Boundary Modeling. CVPR 2023: 18857-18866
Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao: DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting. CVPR 2023: 19348-19357
Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang: Upcycling Models Under Domain and Category Shift. CVPR 2023: 20019-20028
Jizhizi Li, Jing Zhang, Dacheng Tao: Referring Image Matting. CVPR 2023: 22448-22457
Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao: CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose. CVPR 2023: 23272-23281
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao: Deep Graph Reprogramming. CVPR 2023: 24345-24354
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao: Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao: Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao: Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang: PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP 2023: 10140-10154
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao: Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP 2023: 11305-11327
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao: Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP 2023: 14685-14691
Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao: Domain Specified Optimization for Deployment Authorization. ICCV 2023: 5072-5082
Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang: Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. ICCV 2023: 11791-11801
Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao: DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. ICCV 2023: 12052-12062
Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao: Exploring Temporal Concurrency for Video-Language Representation Learning. ICCV 2023: 15522-15532
Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng: Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV 2023: 18859-18869
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao: Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV 2023: 22222-22232
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan: Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR 2023
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang: CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR 2023
Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao: Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. ICLR 2023
Chang Li, Dongjin Song, Dacheng Tao: HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR 2023
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao: FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR 2023
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao: Alternating Differentiation for Optimization Layers. ICLR 2023
Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao: Symmetric Pruning in Quantum Neural Networks. ICLR 2023
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan: Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR 2023
Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao: Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. ICLR 2023
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao: Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Structured Cooperative Learning with Graphical Model Priors. ICML 2023: 20599-20622
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao: Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao: Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML 2023: 32991-33013
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao: Tilted Sparse Additive Models. ICML 2023: 35579-35604
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao: Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao: VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao: Domain Re-Modulation for Few-Shot Generative Domain Adaptation. NeurIPS 2023
Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao: All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation. NeurIPS 2023
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang. MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS 2023
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen. Towards Arbitrarily Expressive GNNs in $O(n^2)$ Space by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023
Yan Sun, Li Shen, Dacheng Tao. Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. NeurIPS 2023
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham: Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation. NeurIPS 2023
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao: Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. NeurIPS 2023
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao: Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm. NeurIPS 2023
Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao: ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. NeurIPS 2023
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang: SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. NeurIPS 2023
Zhihao Cheng, Li Shen, Dacheng Tao: Off-policy Imitation Learning from Visual Inputs. ICRA 2023: 2937-2943
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao: Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao: Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI 2023: 6712-6722
Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng: MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS 2023: 167-177
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie: Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421
Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen: DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. MICCAI (6) 2023: 591-601
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao: PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. ACM Multimedia 2023: 1924-1932
Sihan Ma, Qiong Cao, Hongwei Yi, Jing Zhang, Dacheng Tao: GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction. ACM Multimedia 2023: 2817-2828
Yiyang Chen, Shanshan Zhao, Changxing Ding, Liyao Tang, Chaoyue Wang, Dacheng Tao: Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation. ACM Multimedia 2023: 3866-3875
Jinlong Fan, Jing Zhang, Zhi Hou, Dacheng Tao: AniPixel: Towards Animatable Pixel-Aligned Human Avatar. ACM Multimedia 2023: 8626-8634
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao: X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium 2023: 3781-3798
Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao: SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. AAAI 2022: 221-229
Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao: Continual Learning through Retrieval and Imagination. AAAI 2022: 8594-8602
Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu: Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) 2022: 2417-2426
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao: A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. ACL (1) 2022: 7984-8002
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao: Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS 2022: 2055-2069
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao: On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING 2022: 5029-5034
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao: A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING 2022: 6691-6704
Yifen Li, Xiaohui Bei, Youming Qiao, Dacheng Tao, Zhiya Chen: Heterogeneous Multi-commodity Network Flows over Time. CSR 2022: 238-255
Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao: Continual Learning with Lifelong Vision Transformer. CVPR 2022: 171-181
Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao: Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. CVPR 2022: 2027-2036
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao: Learning Affordance Grounding from Exocentric Images. CVPR 2022: 2242-2251
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao: Defensive Patches for Robust Recognition in the Physical World. CVPR 2022: 2446-2455
Zhe Chen, Jing Zhang, Dacheng Tao: Recurrent Glimpse-based Decoder for Detection with Transformer. CVPR 2022: 5250-5259
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao: Source-Free Domain Adaptation via Distribution Estimation. CVPR 2022: 7202-7212
Zhi Hou, Baosheng Yu, Dacheng Tao: BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. CVPR 2022: 7246-7256
Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, Dacheng Tao: Modeling Image Composition for Complex Scene Generation. CVPR 2022: 7754-7763
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao: GMFlow: Learning Optical Flow via Global Matching. CVPR 2022: 8111-8120
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao: Contrastive Boundary Learning for Point Cloud Segmentation. CVPR 2022: 8479-8489
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Learning to Collaborate in Decentralized Learning of Personalized Models. CVPR 2022: 9756-9765
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan: Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CVPR 2022: 10164-10173
Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao: DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. CVPR 2022: 12042-12052
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao: Bridged Transformer for Vision and Point Cloud 3D Object Detection. CVPR 2022: 12104-12113
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao: Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164
Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao: Few-shot Backdoor Defense Using Shapley Estimation. CVPR 2022: 13348-13357
Ruibin Wang, Yibo Yang, Dacheng Tao: ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. CVPR 2022: 14351-14360
Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao: Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. CVPR 2022: 18228-18238
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao: RU-Net: Regularized Unrolling Network for Scene Graph Generation. CVPR 2022: 19435-19444
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao: HL-Net: Heterophily Learning Network for Scene Graph Generation. CVPR 2022: 19454-19463
Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao: Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection. CVPR 2022: 19536-19545
Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao: FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. CVPR 2022: 20844-20853
Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao: Towards Data-Efficient Detection Transformers. ECCV (9) 2022: 88-105
Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao: ReAct: Temporal Action Detection with Relational Queries. ECCV (10) 2022: 105-121
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao: Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128
Sen Zhang, Jing Zhang, Dacheng Tao: Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics. ECCV (38) 2022: 143-160
Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao: BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation. ECCV (34) 2022: 165-182
Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao: Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning. ECCV (26) 2022: 219-236
Zhi Hou, Baosheng Yu, Dacheng Tao: Discovering Human-Object Interaction Concepts via Self-Compositional Learning. ECCV (27) 2022: 461-478
Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao: VSA: Learning Varied-Size Window Attention in Vision Transformers. ECCV (25) 2022: 466-483
Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao: RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning. ECCV (33) 2022: 477-494
Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao: ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning. ECCV (38) 2022: 533-549
Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition. ECCV (37) 2022: 545-563
Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao: PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation. ECCV (27) 2022: 582-599
Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao: Online Continual Learning with Contrastive Vision Transformer. ECCV (20) 2022: 631-650
Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao: JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes. ECCV (38) 2022: 708-726
Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao: Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. ECCV (27) 2022: 729-747
Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao: SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. EMNLP (Findings) 2022: 2184-2190
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao: Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) 2022: 4064-4085
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao: TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP 2022: 11975-11992
Xikun Zhang, Dongjin Song, Dacheng Tao: Sparsified Subgraph Memory for Continual Graph Representation Learning. ICDM 2022: 1335-1340
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao: Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR 2022
Shaopeng Fu, Fengxiang He, Dacheng Tao: Knowledge Removal in Sampling-based Bayesian Inference. ICLR 2022
Jiaxian Guo, Mingming Gong, Dacheng Tao: A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR 2022
Wen Wang, Yang Cao, Jing Zhang, Dacheng Tao: FP-DETR: Detection Transformer Advanced by Fully Pre-training. ICLR 2022
Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao: Huber Additive Models for Non-stationary Time Series Analysis. ICLR 2022
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao: Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR 2022
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao: DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML 2022: 4587-4604
Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao: Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. ICML 2022: 25364-25381
Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao: Topology-aware Generalization of Decentralized SGD. ICML 2022: 27479-27503
Sen Zhang, Jing Zhang, Dacheng Tao: Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World. ICRA 2022: 5601-5607
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao: Penalized Proximal Policy Optimization for Safe Reinforcement Learning. IJCAI 2022: 3744-3750
Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao: A Survey on Gradient Inversion: Attacks, Defenses and Future Directions. IJCAI 2022: 5678-5685
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao: Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. IROS 2022: 9027-9033
Ning Wang, Jing Zhang, Lefei Zhang, Dacheng Tao: GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation. ACM Multimedia 2022: 2182-2190
Xikun Zhang, Dongjin Song, Dacheng Tao: CGLB: Benchmark Tasks for Continual Graph Learning. NeurIPS 2022
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao: Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. NeurIPS 2022
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao: Benefits of Permutation-Equivariance in Auction Mechanisms. NeurIPS 2022
Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao: ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation. NeurIPS 2022
Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao: Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao: Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS 2022
Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao: APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking. NeurIPS 2022
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao: Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. NeurIPS 2022
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao: Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR 2022: 2727-2737
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao: Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422
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