| 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 |
| | 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 |
| 2020 | EdgeNAS: discovering efficient neural architectures for edge systems | Luo, Xiangzhong; Liu, Di; Kong, Hao; 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 |
| 2022 | HACScale : hardware-aware compound scaling for resource-efficient DNNs | Kong, Hao; Liu, Di; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| 2021 | HSCoNAS : hardware-software co-design of efficient DNNs via neural architecture search | Luo, Xiangzhong; Liu, Di; Huai, Shuo; Liu, Weichen |
| 2022 | LAMP: load-balanced multipath parallel transmission in point-to-point NoCs | Chen, Hui; Chen, Peng; Luo, Xiangzhong; Huai, Shuo; Liu, Weichen |
| 2021 | MARCO : a high-performance task mapping and routing co-optimization framework for point-to-point NoC-based heterogeneous computing systems | Chen, Hui; Zhang, Zihao; Chen, Peng; Luo, Xiangzhong; Li, Shiqing; Liu, Weichen |
| 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 |
| 2020 | Person re-identification via pose-aware multi-semantic learning | Luo, Xiangzhong; Duong, Luan H. K.; 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 |
