| Issue Date | Title | Author(s) |
| | 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 |
| | 2023 | Crossbar-aligned & integer-only neural network compression for efficient in-memory acceleration | Huai, Shuo; Liu, Di; Luo, Xiangzhong; Chen, Hui; Liu, Weichen; Subramaniam, Ravi |
 | 2021 | Designing efficient DNNs via hardware-aware neural architecture search and beyond | Luo, Xiangzhong; Liu, Di; Huai, Shuo; Kong, Hao; Chen, Hui; 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 | An efficient gustavson-based sparse matrix-matrix multiplication accelerator on embedded FPGAs | Li, Shiqing; Huai, Shuo; Liu, Weichen |
| 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 |
| 2021 | HSCoNAS : hardware-software co-design of efficient DNNs via neural architecture search | Luo, Xiangzhong; Liu, Di; Huai, Shuo; Liu, Weichen |
| 2023 | iMAT: energy-efficient in-memory acceleration for ternary neural networks with sparse dot product | Zhu, Shien; Huai, Shuo; Xiong, Guochu; Liu, Weichen |
| 2022 | LAMP: load-balanced multipath parallel transmission in point-to-point NoCs | Chen, Hui; Chen, Peng; Luo, Xiangzhong; Huai, Shuo; Liu, Weichen |
| | 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 |
| 2023 | MUGNoC: a software-configured multicast-unicast-gather NoC for accelerating CNN dataflows | Chen, Hui; Liu, Di; Li, Shiqing; Huai, Shuo; Luo, Xiangzhong; Liu, Weichen |
| 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 |
| 2021 | ZeroBN : learning compact neural networks for latency-critical edge systems | Huai, Shuo; Zhang, Lei; Liu, Di; Liu, Weichen; Subramaniam, Ravi |
