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2020 – today
- 2024
[j3]Yongqi Xue
, Jinlun Ji, Xinming Yu, Shize Zhou, Siyue Li, Xinyi Li, Tong Cheng, Shiping Li, Kai Chen, Zhonghai Lu, Li Li, Yuxiang Fu:
Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning. IEEE Trans. Computers 73(12): 2882-2896 (2024)- [j2]Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li, Yuxiang Fu:
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1863-1875 (2024) - [i1]Lirong Fu, Peiyu Liu, Wenlong Meng, Kangjie Lu, Shize Zhou, Xuhong Zhang, Wenzhi Chen, Shouling Ji:
Understanding the AI-powered Binary Code Similarity Detection. CoRR abs/2410.07537 (2024) - 2023
- [j1]Lingxiao Zhu, Wenjie Fan, Chenyang Dai, Shize Zhou, Yongqi Xue, Zhonghai Lu, Li Li, Yuxiang Fu:
A NoC-Based Spatial DNN Inference Accelerator With Memory-Friendly Dataflow. IEEE Des. Test 40(6): 39-50 (2023) - 2022
- [c2]Shize Zhou, Yongqi Xue, Siyue Li, Jinlun Ji, Tong Cheng, Li Li, Yuxiang Fu:
Work in Progress: ACAC: An Adaptive Congestion-aware Approximate Communication Mechanism for Network-on-Chip Systems. CASES 2022: 5-6 - [c1]Yongqi Xue, Jinlun Ji, Xinyi Li, Siyue Li, Shize Zhou, Tong Cheng, Li Li, Yuxiang Fu:
AOME: Autonomous Optimal Mapping Exploration Using Reinforcement Learning for NoC-based Accelerators Running Neural Networks. ICCD 2022: 364-367
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