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2020 – today
- 2024
[j27]Feng Xue
, Chenji Han, Xinyu Li, Junliang Wu, Tingting Zhang, Tianyi Liu, Yifan Hao, Zidong Du, Qi Guo, Fuxin Zhang:
Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses. ACM Trans. Archit. Code Optim. 21(2): 30 (2024)- [j26]Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen:
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 366-379 (2024) - [j25]Xiaqing Li, Qi Guo, Guangyan Zhang, Siwei Ye, Guanhua He, Yiheng Yao, Rui Zhang, Yifan Hao, Zidong Du, Weimin Zheng:
FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space. IEEE Trans. Parallel Distributed Syst. 35(7): 1174-1188 (2024) - [c45]Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li:
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. AAAI 2024: 14599-14607 - [c44]Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen:
Emergent Communication for Numerical Concepts Generalization. AAAI 2024: 17609-17617 - [c43]Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024: 24398-24407 - [c42]Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Prompt-based Visual Alignment for Zero-shot Policy Transfer. ICML 2024 - [c41]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 - [c40]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 - [i33]Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen:
Assessing and Understanding Creativity in Large Language Models. CoRR abs/2401.12491 (2024) - [i32]Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen:
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. CoRR abs/2405.15414 (2024) - [i31]Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Prompt-based Visual Alignment for Zero-shot Policy Transfer. CoRR abs/2406.03250 (2024) - [i30]Zhengyue Zhao, Xiaoyun Zhang, Kaidi Xu, Xing Hu, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization. CoRR abs/2406.16743 (2024) - [i29]Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen:
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR abs/2407.05700 (2024) - [i28]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) - [i27]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) - [i26]Zhongkai Yu, Shengwen Liang, TianYun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen:
Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. CoRR abs/2409.15654 (2024) - 2023
- [j24]Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen:
Rescue to the Curse of universality. Sci. China Inf. Sci. 66(9) (2023) - [j23]Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen:
Chip design with machine learning: a survey from algorithm perspective. Sci. China Inf. Sci. 66(11) (2023) - [j22]Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen:
Learning controllable elements oriented representations for reinforcement learning. Neurocomputing 549: 126455 (2023) - [j21]Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du:
Hardware Acceleration for SLAM in Mobile Systems. J. Comput. Sci. Technol. 38(6): 1300-1322 (2023) - [c39]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 - [c38]Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Conceptual Reinforcement Learning for Language-Conditioned Tasks. AAAI 2023: 9426-9434 - [c37]Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen:
Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. ASPLOS (3) 2023: 314-328 - [c36]Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen:
BALTO: fast tensor program optimization with diversity-based active learning. ICLR 2023 - [c35]Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen:
Online Prototype Alignment for Few-shot Policy Transfer. ICML 2023: 39968-39983 - [c34]Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu:
Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. MICRO 2023: 424-437 - [c33]Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen:
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO 2023: 1305-1318 - [c32]Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen:
Context Shift Reduction for Offline Meta-Reinforcement Learning. NeurIPS 2023 - [c31]Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen:
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. NeurIPS 2023 - [c30]Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen:
Emergent Communication for Rules Reasoning. NeurIPS 2023 - [c29]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 - [c28]Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen:
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. NeurIPS 2023 - [c27]Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen:
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i25]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) - [i24]Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo:
Ultra-low Precision Multiplication-free Training for Deep Neural Networks. CoRR abs/2302.14458 (2023) - [i23]Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Conceptual Reinforcement Learning for Language-Conditioned Tasks. CoRR abs/2303.05069 (2023) - [i22]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) - [i21]Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR abs/2306.01902 (2023) - [i20]Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. CoRR abs/2306.02064 (2023) - [i19]Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen:
Online Prototype Alignment for Few-shot Policy Transfer. CoRR abs/2306.07307 (2023) - [i18]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) - [i17]Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li:
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. CoRR abs/2309.01352 (2023) - [i16]Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen:
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. CoRR abs/2311.01075 (2023) - [i15]Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen:
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. CoRR abs/2311.02104 (2023) - [i14]Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen:
Context Shift Reduction for Offline Meta-Reinforcement Learning. CoRR abs/2311.03695 (2023) - [i13]Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen:
Emergent Communication for Rules Reasoning. CoRR abs/2311.04474 (2023) - 2022
- [j20]Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen:
Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System. IEEE Trans. Computers 71(1): 209-222 (2022) - [j19]Wenqi Lou, Lei Gong, Chao Wang, Zidong Du, Xuehai Zhou:
OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm. IEEE Trans. Computers 71(8): 1847-1859 (2022) - [j18]Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen:
Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers. IEEE Trans. Computers 71(9): 2313-2326 (2022) - [j17]Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie:
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71(12): 3254-3267 (2022) - [j16]Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen:
Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 116-128 (2022) - [j15]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 936-949 (2022) - [j14]Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen:
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. IEEE Trans. Image Process. 31: 7006-7019 (2022) - [c26]Maimaiti Nazhamaiti, Haijin Su, Han Xu, Zheyu Liu, Fei Qiao, Qi Wei, Zidong Du, Xinghua Yang, Li Luo:
In-situ self-powered intelligent vision system with inference-adaptive energy scheduling for BNN-based always-on perception. DAC 2022: 913-918 - [c25]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 - [c24]Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen:
BabelTower: Learning to Auto-parallelized Program Translation. ICML 2022: 23685-23700 - [c23]Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen:
Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. MICRO 2022: 57-72 - [c22]Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS 2022 - [c21]Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao:
Accelerating Sparse Convolution with Column Vector-Wise Sparsity. NeurIPS 2022 - [c20]Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen:
Object-Category Aware Reinforcement Learning. NeurIPS 2022 - [i12]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) - [i11]Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen:
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. CoRR abs/2208.09195 (2022) - [i10]Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen:
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR abs/2210.06964 (2022) - [i9]Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen:
Object-Category Aware Reinforcement Learning. CoRR abs/2210.07802 (2022) - 2021
- [c19]Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen:
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. IJCAI 2021: 2476-2482 - [c18]Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen:
Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA 2021: 706-719 - [c17]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS 2021: 28169-28181 - [i8]Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen:
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. CoRR abs/2107.12216 (2021) - [i7]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:
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. CoRR abs/2109.01768 (2021) - [i6]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. CoRR abs/2110.14120 (2021) - 2020
- [j13]Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu:
Self-Aware Neural Network Systems: A Survey and New Perspective. Proc. IEEE 108(7): 1047-1067 (2020) - [j12]Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen:
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. IEEE Trans. Computers 69(7): 968-985 (2020) - [j11]Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen:
Machine Learning Computers With Fractal von Neumann Architecture. IEEE Trans. Computers 69(7): 998-1014 (2020) - [j10]Shengyuan Zhou, Qi Guo, Zidong Du, Dao-Fu Liu, Tianshi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen:
ParaML: A Polyvalent Multicore Accelerator for Machine Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(9): 1764-1777 (2020) - [c16]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI 2020: 4174-4181 - [c15]Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen:
Fixed-Point Back-Propagation Training. CVPR 2020: 2327-2335 - [c14]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC 2020: 1-6 - [c13]Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen:
ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. ICCD 2020: 623-630 - [i5]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. CoRR abs/2002.00552 (2020) - [i4]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR abs/2002.08326 (2020) - [i3]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR abs/2009.12495 (2020)
2010 – 2019
- 2019
- [j9]Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen:
Addressing Sparsity in Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1858-1871 (2019) - [c12]Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen:
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. AAAI 2019: 1319-1326 - [c11]Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen:
Cambricon-F: machine learning computers with fractal von neumann architecture. ISCA 2019: 788-801 - [i2]Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian:
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks. CoRR abs/1905.11669 (2019) - 2018
- [j8]Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Lingjie Xu, Cong Liu, Hai-Feng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen:
BenchIP: Benchmarking Intelligence Processors. J. Comput. Sci. Technol. 33(1): 1-23 (2018) - [j7]Yunji Chen, Huiying Lan, Zidong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tianshi Chen:
An Instruction Set Architecture for Machine Learning. ACM Trans. Comput. Syst. 36(3): 9:1-9:35 (2018) - [c10]Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen:
Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach. MICRO 2018: 15-28 - [c9]Huiying Lan, Zidong Du:
DLIR: An Intermediate Representation for Deep Learning Processors. NPC 2018: 169-173 - 2017
- [j6]Zidong Du, Shaoli Liu, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yunji Chen, Olivier Temam:
An Accelerator for High Efficient Vision Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 227-240 (2017) - [i1]Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Cong Liu, Hai-Feng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen:
BENCHIP: Benchmarking Intelligence Processors. CoRR abs/1710.08315 (2017) - 2016
- [c8]Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, Tianshi Chen:
Cambricon: An Instruction Set Architecture for Neural Networks. ISCA 2016: 393-405 - [c7]Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen:
Cambricon-X: An accelerator for sparse neural networks. MICRO 2016: 20:1-20:12 - 2015
- [j5]Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam:
A High-Throughput Neural Network Accelerator. IEEE Micro 35(3): 24-32 (2015) - [j4]Zidong Du, Avinash Lingamneni, Yunji Chen, Krishna V. Palem, Olivier Temam, Chengyong Wu:
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(8): 1223-1235 (2015) - [j3]Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, Olivier Temam:
A Small-Footprint Accelerator for Large-Scale Neural Networks. ACM Trans. Comput. Syst. 33(2): 6:1-6:27 (2015) - [c6]Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu:
Retraining-based timing error mitigation for hardware neural networks. DATE 2015: 593-596 - [c5]Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam:
ShiDianNao: shifting vision processing closer to the sensor. ISCA 2015: 92-104 - [c4]Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam:
Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches. MICRO 2015: 494-507 - 2014
- [j2]Shuangde Fang, Zidong Du, Yuntan Fang, Yuanjie Huang, Yang Chen, Lieven Eeckhout, Olivier Temam, Huawei Li, Yunji Chen, Chengyong Wu:
Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach. ACM Trans. Archit. Code Optim. 11(2): 21:1-21:25 (2014) - [c3]Zidong Du, Krishna V. Palem, Lingamneni Avinash, Olivier Temam, Yunji Chen, Chengyong Wu:
Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. ASP-DAC 2014: 201-206 - [c2]Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam:
DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. ASPLOS 2014: 269-284 - 2012
- [j1]Bingbing Xia, Fei Qiao, Zidong Du, Di Zhu, Huazhong Yang:
A "Near-the-Best" System-Level Design Methodology of Multi-Core H.264 Video Decoder Based on the Parallelized Multi-Core Simulator. J. Circuits Syst. Comput. 21(7) (2012) - 2011
- [c1]Zidong Du, Bingbing Xia, Fei Qiao, Huazhong Yang:
System-Level Evaluation of Video Processing System Using SimpleScalar-Based Multi-core Processor Simulator. ISADS 2011: 256-259
Coauthor Index
[c45] [c44] [c42] [c41] [i33] [i32] [i31] [i30] [i29] [i27] [j24] [j23] [j22] [c39] [c38] [c36] [c35] [c32] [c31] [c30] [c29] [c28] [c27] [i25] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j20] [j16] [c25] [c24] [c22] [c21] [c20] [i12] [i10] [i9] [c19] [c17] [i8] [i7] [i6] [j13] [j12] [j11] [j10] [c16] [c15] [c13] [i5] [i3] [j9] [c12] [c11] [i2] [j8] [j7] [c10] [j6] [i1] [c8] [c7] [j5] [j4] [j3] [c6] [c5] [c4] [j2] [c3] [c2]
[j27] [j26] [j25] [c45] [c44] [c43] [c42] [c41] [c40] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [j24] [j22] [j21] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [i14] [i13] [j20] [j18] [j17] [j16] [c25] [c24] [c23] [c22] [c20] [i12] [i11] [i10] [i9] [c19] [c18] [c17] [i8] [i7] [i6] [j13] [j12] [j11] [j10] [c16] [c15] [c13] [i5] [j9] [c11] [j8] [j7] [c10] [j6] [i1] [c7]
[j26] [c45] [c43] [c42] [c41] [c40] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [j22] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [c31] [c29] [c28] [c27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [j18] [j17] [j16] [j15] [c25] [c24] [c23] [c22] [c20] [i12] [i11] [i10] [i9] [c19] [c18] [c17] [i8] [i6] [i3]
[j25] [c45] [c44] [c43] [c42] [c41] [c40] [i33] [i32] [i31] [i30] [i29] [i27] [j23] [j22] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j18] [j14] [c25] [c22] [c20] [i12] [i10] [i9] [c19] [i8] [i7] [c16] [c15] [i5]
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