| Issue Date | Title | Author(s) |
 | 2022 | Bringing AI to edge : from deep learning's perspective | Liu, Di; Kong, Hao; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| | 2022 | Collate: collaborative neural network learning for latency-critical edge systems | Huai, Shuo; Liu, Di; Kong, Hao; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
 | 2021 | Designing efficient DNNs via hardware-aware neural architecture search and beyond | Luo, Xiangzhong; Liu, Di; Huai, Shuo; Kong, Hao; Chen, Hui; Liu, Weichen |
| 2020 | EdgeNAS: discovering efficient neural architectures for edge systems | Luo, Xiangzhong; Liu, Di; Kong, Hao; Liu, Weichen |
| 2021 | EDLAB : a benchmark for edge deep learning accelerators | Kong, Hao; Huai, Shuo; Liu, Di; Zhang, Lei; Chen, Hui; Zhu, Shien; Li, Shiqing; Liu, Weichen; Rastogi, Manu; Subramaniam, Ravi; Athreya, Madhu; Lewis, M. Anthony |
| 2023 | EMNAPE: efficient multi-dimensional neural architecture pruning for EdgeAI | Kong, Hao; Luo, Xiangzhong; Huai, Shuo; Liu, Di; Subramaniam, Ravi; Makaya, Christian; Lin, Qian; Liu, Weichen |
| 2022 | HACScale : hardware-aware compound scaling for resource-efficient DNNs | Kong, Hao; Liu, Di; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| | 2021 | Hierarchical nano-to-molecular disassembly of boron dipyrromethene nanoparticles for enhanced tumor penetration and activatable photodynamic therapy | Zhang, Yonghe; Zhao, Ruibo; Liu, Jia; Kong, Hao; Zhang, Kebiao; Zhang, Yuan-Ning; Kong, Xiangdong; Zhang, Quan; Zhao, Yanli |
| | 2023 | Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization | Huai, Shuo; Liu, Di; Kong, Hao; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
| 2022 | Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware | Kong, Hao; Liu, Di; Huai, Shuo; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
| 2022 | SurgeNAS: a comprehensive surgery on hardware-aware differentiable neural architecture search | Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Chen, Hui; Liu, Weichen |
| 2023 | Towards efficient convolutional neural network for embedded hardware via multi-dimensional pruning | Kong, Hao; Liu, Di; Luo, Xiangzhong; Huai, Shuo; Subramaniam, Ravi; Makaya, Christian; Lin, Qian; Liu, Weichen |
| 2022 | Work-in-progress: what to expect of early training statistics? An investigation on hardware-aware neural architecture search | Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Chen, Hui; Liu, Weichen |
| 2022 | You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms | Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Chen, Hui; Liu, Weichen |
