Zidong Du

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 90

Top Venues

CoRR

NeurIPS

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

IEEE Trans. Computers

Publications

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 (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
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)
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 (2024)
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 (2023)
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)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen
Rescue to the Curse of universality. Sci. China Inf. Sci. 66 (9) (2023)
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)
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)
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)
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)
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)
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)
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)
Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du
Hardware Acceleration for SLAM in Mobile Systems. J. Comput. Sci. Technol. 38 (6) (2023)
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 (2023)
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)
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 (2023)
Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
Online Symbolic Regression with Informative Query. AAAI (2023)
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 (2023)
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)
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)
Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
Online Symbolic Regression with Informative Query. CoRR (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
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) (2022)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Object-Category Aware Reinforcement Learning. CoRR (2022)
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 (2022)
Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
Neural Program Synthesis with Query. CoRR (2022)
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) (2022)
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)
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)
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)
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) (2022)
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)
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)
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) (2022)
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)
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)
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 (2022)
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) (2022)
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) (2022)
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 (2021)
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)
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)
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)
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 (2021)
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 (2021)
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)
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) (2020)
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) (2020)
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 (2020)
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) (2020)
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)
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 (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
DWM: A Decomposable Winograd Method for Convolution Acceleration. CoRR (2020)
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)
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) (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
DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI (2020)
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)
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) (2019)
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)
Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks. CoRR (2019)
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) (2019)
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)
Huiying Lan, Zidong Du
DLIR: An Intermediate Representation for Deep Learning Processors. NPC (2018)
Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Ling-Jie 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) (2018)
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 (2017)
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) (2017)
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)
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)
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)
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)
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)
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) (2015)
Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam
A High-Throughput Neural Network Accelerator. IEEE Micro 35 (3) (2015)
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) (2015)
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)
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)
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) (2014)
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)

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Publication Activity (10 Years)

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Zidong Du