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Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms


Sep 04, 2021
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

* 19 pages,16 figures 

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Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment


Aug 05, 2021
Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

* Accepted by IJCAI2021 

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Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration


Feb 18, 2020
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao

* Accepted by DAC2020 

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DWM: A Decomposable Winograd Method for Convolution Acceleration


Feb 03, 2020
Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

* Accepted by AAAI 2020 

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Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers


Nov 01, 2019
Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Yu Kang, Qi Guo, Zidong Du, Yunji Chen

* 12 pages,10 figures 

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CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks


May 28, 2019
Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian


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BENCHIP: Benchmarking Intelligence Processors


Nov 25, 2017
Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Lingjie Xu, Cong Liu, Haifeng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen

* 37pages, 14 figures 

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