Showing results 1 to 20 of 25
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| 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 | The CbbQO-type rubisco activases encoded in carboxysome gene clusters can activate carboxysomal form IA rubiscos | Tsai, Candace Yi-Chin; Liew, Lynette; Guo, Zhijun; Liu, Di; Mueller-Cajar, Oliver |
| | 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 |
| 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 | Efficient FPGA-based sparse matrix-vector multiplication with data reuse-aware compression | Li, Shiqing; Liu, Di; 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 | FAT: an in-memory accelerator with fast addition for ternary weight neural networks | Zhu, Shien; Duong, Luan H. K.; Chen, Hui; Liu, Di; Liu, Weichen |
| 2022 | HACScale : hardware-aware compound scaling for resource-efficient DNNs | Kong, Hao; Liu, Di; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| | 2022 | High-frequency mechanical energy harvester with direct current output from chemical potential difference | Li, Shaoxin; Deng, Shuo; Xu, Ran; Liu, Di; Nan, Yang; Zhang, Zhiwei; Gao, Yikui; Lv, Haifei; Li, Min; Zhang, Qing; Wang, Jie; Wang, Zhong Lin |
| 2021 | HSCoNAS : hardware-software co-design of efficient DNNs via neural architecture search | Luo, Xiangzhong; Liu, Di; Huai, Shuo; Liu, Weichen |
| | 2020 | Insights into the mechanism and regulation of the CbbQO-type Rubisco activase, a MoxR AAA+ ATPase | Tsai, Candace Yi-Chin; Ye, Fuzhou; Liew, Lynette; Liu, Di; Bhushan, Shashi; Gao, Yong-Gui; Mueller-Cajar, Oliver |
| | 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 |
| 2021 | Optimized data reuse via reordering for sparse matrix-vector multiplication on FPGAs | Li, Shiqing; Liu, Di; Liu, Weichen |
| 2021 | Partial order based non-preemptive communication scheduling towards real-time networks-on-chip | Chen, Peng; Chen, Hui; Zhou, Jun; Liu, Di; Li, Shiqing; Liu, Weichen; Chang, Wanli; Guan, Nan |
| 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 |
