Academic Profile : Faculty

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Prof Pan, Sinno Jialin
Professor, College of Computing & Data Science
External Links
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Highly Cited:
Pan, S. J., Tsang, I. W., Kwok, J. T., & Yang, Q. (2010). Domain adaptation via transfer component analysis. IEEE Transactions on Neural Networks, 22(2), 199-210.

Long, M., Wang, J., Ding, G., Pan, S. J., & Philip, S. Y. (2013). Adaptation regularization: A general framework for transfer learning. IEEE Transactions on Knowledge and Data Engineering, 26(5), 1076-1089.

Xia, X., Lo, D., Pan, S. J., Nagappan, N., & Wang, X. (2016). Hydra: Massively compositional model for cross-project defect prediction. IEEE Transactions on Software Engineering, 42(10), 977-998.

Pan, J. J., Pan, S. J., Yin, J., Ni, L. M., & Yang, Q. (2011). Tracking mobile users in wireless networks via semi-supervised colocalization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3), 587-600.

Xu, Y., Pan, S. J., Xiong, H., Wu, Q., Luo, R., Min, H., & Song, H. (2017). A unified framework for metric transfer learning. IEEE Transactions on Knowledge and Data Engineering, 29(6), 1158-1171.

Yang, Q., Pan, S. J., & Zheng, V. W. (2008). Estimating Location Using Wi-Fi. IEEE Intelligent Systems, 23(1), 8-13.

Pan, R., Yang, Q., & Pan, S. J. (2007). Mining competent case bases for case-based reasoning. Artificial Intelligence, 171(16-17), 1039-1068.

Cheng, L., & Pan, S. J. (2014). Semi-supervised domain adaptation on manifolds. IEEE Transactions on Neural Networks and Learning Systems, 25(12), 2240-2249.

Zhao, L., Pan, S. J., & Yang, Q. (2017). A unified framework of active transfer learning for cross-system recommendation. Artificial Intelligence, 245, 38-55.

Xu, Q., Pan, S. J., Xue, H. H., & Yang, Q. (2010). Multitask learning for protein subcellular location prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(3), 748-759.

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Recent Publication:
Wang, W., & Pan, S. J. (2021). Variational Deep Logic Network for Joint Inference of Entities and Relations. Computational Linguistics, 47(4), 775-812.

Lv, F., Lin, G., Liu, P., Yang, G., Pan, S. J., & Duan, L. (2020). Weakly-supervised cross-domain road scene segmentation via multi-level curriculum adaptation. IEEE Transactions on Circuits and Systems for Video Technology, 31(9), 3493-3503.

Qian, H., Pan, S. J., & Miao, C. (2021). Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artificial Intelligence, 292, 103429.

Li, H., Pan, S. J., Wang, S., & Kot, A. C. (2019). Heterogeneous domain adaptation via nonlinear matrix factorization. IEEE Transactions on Neural Networks and Learning Systems, 31(3), 984-996.

Qiang Zhou, Yu Chen, Sinno Jialin Pan. (2020). Communication-efficient distributed multi-task learning with matrix sparsity regularization. Machine Learning, 109(3), 569-601.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan. (2019). MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization. Advances in Neural Information Processing Systems 32 (pp. 3918-3928).

Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan and Mingkui Tan. (2019). Multi-class Heterogeneous Domain Adaptation. Journal of Machine Learning Research, 20, 51:1-51:31.

Wenya Wang and Sinno Jialin Pan. (2019). Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction. Computational Linguistics, 45(4), 705-736.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier. (2018). Memory Networks for Fine-grained Opinion Mining. Artificial Intelligence, 265, 1-17.
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