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2020 – today
- 2024
[c6]Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li:
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. AAAI 2024: 15897-15905- [c5]Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen:
Automated CPU Design by Learning from Input-Output Examples. IJCAI 2024: 3843-3853 - [c4]Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen:
Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. ISCA 2024: 903-914 - [i6]Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu:
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. CoRR abs/2407.08903 (2024) - [i5]Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Ziyuan Nan, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen:
CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization. CoRR abs/2407.10424 (2024) - 2023
- [c3]Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen:
Online Symbolic Regression with Informative Query. AAAI 2023: 5122-5130 - [c2]Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen:
ANPL: Towards Natural Programming with Interactive Decomposition. NeurIPS 2023 - [i4]Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen:
Online Symbolic Regression with Informative Query. CoRR abs/2302.10539 (2023) - [i3]Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen:
ANPL: Compiling Natural Programs with Interactive Decomposition. CoRR abs/2305.18498 (2023) - [i2]Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen:
Pushing the Limits of Machine Design: Automated CPU Design with AI. CoRR abs/2306.12456 (2023) - 2022
- [c1]Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen:
Neural Program Synthesis with Query. ICLR 2022 - [i1]Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen:
Neural Program Synthesis with Query. CoRR abs/2205.07857 (2022) - 2021
- [j1]Di Huang, Rui Zhang
, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen:
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis. Int. J. Comput. Vis. 129(10): 2806-2826 (2021)
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