System-Level Evaluation of Video Processing System Using SimpleScalar-Based Multi-core Processor Simulator. - Zidong Du; Bingbing Xia; Fei Qiao; Huazhong Yang (ISADS, 2011)

A "Near-the-Best" System-Level Design Methodology of Multi-Core H.264 Video Decoder Based on the Parallelized Multi-Core Simulator. - Bingbing Xia; Fei Qiao; Zidong Du; Di Zhu; Huazhong Yang (J. Circuits Syst. Comput., 2012)

Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. - Zidong Du; Krishna V. Palem; Lingamneni Avinash; Olivier Temam; Yunji Chen; Chengyong Wu (ASP-DAC, 2014)

DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. - Tianshi Chen 002; Zidong Du; Ninghui Sun; Jia Wang; Chengyong Wu; Yunji Chen; Olivier Temam (ASPLOS, 2014)

Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach. - Shuangde Fang; Zidong Du; Yuntan Fang; Yuanjie Huang; Yang Chen; Lieven Eeckhout; Olivier Temam; Huawei Li 001; Yunji Chen; Chengyong Wu (ACM Trans. Archit. Code Optim., 2014)

Retraining-based timing error mitigation for hardware neural networks. - Jiachao Deng; Yuntan Fang; Zidong Du; Ying Wang 001; Huawei Li 001; Olivier Temam; Paolo Ienne; David Novo; Xiaowei Li 001; Yunji Chen; Chengyong Wu (DATE, 2015)

ShiDianNao: shifting vision processing closer to the sensor. - Zidong Du; Robert Fasthuber; Tianshi Chen 002; Paolo Ienne; Ling Li 001; Tao Luo; Xiaobing Feng 002; Yunji Chen; Olivier Temam (ISCA, 2015)

Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches. - Zidong Du; Daniel D. Ben-Dayan Rubin; Yunji Chen; Liqiang He; Tianshi Chen 002; Lei Zhang 008; Chengyong Wu; Olivier Temam (MICRO, 2015)

A High-Throughput Neural Network Accelerator. - Tianshi Chen 002; Zidong Du; Ninghui Sun; Jia Wang; Chengyong Wu; Yunji Chen; Olivier Temam (IEEE Micro, 2015)

Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. - Zidong Du; Avinash Lingamneni; Yunji Chen; Krishna V. Palem; Olivier Temam; Chengyong Wu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

A Small-Footprint Accelerator for Large-Scale Neural Networks. - Tianshi Chen 002; Shijin Zhang; Shaoli Liu; Zidong Du; Tao Luo; Yuan Gao; Junjie Liu; Dongsheng Wang 002; Chengyong Wu; Ninghui Sun; Yunji Chen; Olivier Temam (ACM Trans. Comput. Syst., 2015)

Cambricon: An Instruction Set Architecture for Neural Networks. - Shaoli Liu; Zidong Du; Jinhua Tao; Dong Han; Tao Luo; Yuan Xie 001; Yunji Chen; Tianshi Chen 002 (ISCA, 2016)

Cambricon-X: An accelerator for sparse neural networks. - Shijin Zhang; Zidong Du; Lei Zhang 008; Huiying Lan; Shaoli Liu; Ling Li 001; Qi Guo 001; Tianshi Chen 002; Yunji Chen (MICRO, 2016)

BENCHIP: Benchmarking Intelligence Processors. - Jinhua Tao; Zidong Du; Qi Guo 001; Huiying Lan; Lei Zhang 008; Shengyuan Zhou; Cong Liu; Hai-Feng Liu; Shan Tang; Allen Rush; Willian Chen; Shaoli Liu; et al. (CoRR, 2017)

An Accelerator for High Efficient Vision Processing. - Zidong Du; Shaoli Liu; Robert Fasthuber; Tianshi Chen 002; Paolo Ienne; Ling Li 001; Tao Luo; Qi Guo 001; Xiaobing Feng 002; Yunji Chen; Olivier Temam (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach. - Xuda Zhou; Zidong Du; Qi Guo 001; Shaoli Liu; Chengsi Liu; Chao Wang 003; Xuehai Zhou; Ling Li 001; Tianshi Chen 002; Yunji Chen (MICRO, 2018)

DLIR: An Intermediate Representation for Deep Learning Processors. - Huiying Lan; Zidong Du (NPC, 2018)

BenchIP: Benchmarking Intelligence Processors. - Jinhua Tao; Zidong Du; Qi Guo 001; Huiying Lan; Lei Zhang 008; Shengyuan Zhou; Lingjie Xu; Cong Liu; Hai-Feng Liu; Shan Tang; Allen Rush; Willian Chen; et al. (J. Comput. Sci. Technol., 2018)

An Instruction Set Architecture for Machine Learning. - Yunji Chen; Huiying Lan; Zidong Du; Shaoli Liu; Jinhua Tao; Dong Han; Tao Luo; Qi Guo 001; Ling Li 001; Yuan Xie 001; Tianshi Chen 002 (ACM Trans. Comput. Syst., 2018)

TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. - Lei Zhang 008; Shengyuan Zhou; Tian Zhi; Zidong Du; Yunji Chen (AAAI, 2019)

Cambricon-F: machine learning computers with fractal von neumann architecture. - Yongwei Zhao; Zidong Du; Qi Guo 001; Shaoli Liu; Ling Li 001; Zhiwei Xu 002; Tianshi Chen 002; Yunji Chen (ISCA, 2019)

CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks. - Weicheng Li; Rui Wang 014; Zhongzhi Luan; Di Huang; Zidong Du; Yunji Chen; Depei Qian (CoRR, 2019)

Addressing Sparsity in Deep Neural Networks. - Xuda Zhou; Zidong Du; Shijin Zhang; Lei Zhang 008; Huiying Lan; Shaoli Liu; Ling Li 001; Qi Guo 001; Tianshi Chen 002; Yunji Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

DWM: A Decomposable Winograd Method for Convolution Acceleration. - Di Huang; Xishan Zhang; Rui Zhang 040; Tian Zhi; Deyuan He; Jiaming Guo; Chang Liu 021; Qi Guo 001; Zidong Du; Shaoli Liu; Tianshi Chen 002; Yunji Chen (AAAI, 2020)

Fixed-Point Back-Propagation Training. - Xishan Zhang; Shaoli Liu; Rui Zhang 040; Chang Liu 021; Di Huang; Shiyi Zhou; Jiaming Guo; Qi Guo 001; Zidong Du; Tian Zhi; Yunji Chen (CVPR, 2020)

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. - Cong Guo 003; Yangjie Zhou 001; Jingwen Leng; Yuhao Zhu 001; Zidong Du; Quan Chen 002; Chao Li 009; Bin Yao 002; Minyi Guo (DAC, 2020)

ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. - Xi Zeng; Tian Zhi; Zidong Du; Qi Guo 001; Ninghui Sun; Yunji Chen (ICCD, 2020)

Rubik: A Hierarchical Architecture for Efficient Graph Learning. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yunji Chen; Yuan Xie 001 (CoRR, 2020)

Self-Aware Neural Network Systems: A Survey and New Perspective. - Zidong Du; Qi Guo 001; Yongwei Zhao; Tian Zhi; Yunji Chen; Zhiwei Xu 002 (Proc. IEEE, 2020)

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. - Xi Zeng; Tian Zhi; Xuda Zhou; Zidong Du; Qi Guo 001; Shaoli Liu; Bingrui Wang; Yuanbo Wen; Chao Wang 003; Xuehai Zhou; Ling Li 001; Tianshi Chen 002; et al. (IEEE Trans. Computers, 2020)

Machine Learning Computers With Fractal von Neumann Architecture. - Yongwei Zhao; Zhe Fan; Zidong Du; Tian Zhi; Ling Li 001; Qi Guo 001; Shaoli Liu; Zhiwei Xu 002; Tianshi Chen 002; Yunji Chen (IEEE Trans. Computers, 2020)

ParaML: A Polyvalent Multicore Accelerator for Machine Learning. - Shengyuan Zhou; Qi Guo 001; Zidong Du; Dao-Fu Liu; Tianshi Chen 002; Ling Li 001; Shaoli Liu; Jinhong Zhou; Olivier Temam; Xiaobing Feng 002; Xuehai Zhou; Yunji Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. - Jiaming Guo; Rui Zhang 040; Xishan Zhang; Shaohui Peng; Qi Yi; Zidong Du; Xing Hu 001; Qi Guo 001; Yunji Chen (IJCAI, 2021)

Cambricon-Q: A Hybrid Architecture for Efficient Training. - Yongwei Zhao; Chang Liu 021; Zidong Du; Qi Guo 001; Xing Hu 001; Yimin Zhuang; Zhenxing Zhang; Xinkai Song; Wei Li 008; Xishan Zhang; Ling Li 001; Zhiwei Xu 002; et al. (ISCA, 2021)

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. - Husheng Han; Kaidi Xu; Xing Hu 001; Xiaobing Chen; Ling Liang; Zidong Du; Qi Guo 001; Yanzhi Wang; Yunji Chen (NeurIPS, 2021)

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. - Ruizhi Chen; Xiaoyu Wu; Yansong Pan; Kaizhao Yuan; Ling Li 001; TianYun Ma; JiYuan Liang; Rui Zhang 040; Kai Wang; Chen Zhang 001; Shaohui Peng; Xishan Zhang; et al. (CoRR, 2021)

In-situ self-powered intelligent vision system with inference-adaptive energy scheduling for BNN-based always-on perception. - Maimaiti Nazhamaiti; Haijin Su; Han Xu 006; Zheyu Liu; Fei Qiao; Qi Wei 001; Zidong Du; Xinghua Yang; Li Luo (DAC, 2022)

Neural Program Synthesis with Query. - Di Huang; Rui Zhang 040; Xing Hu 001; Xishan Zhang; Pengwei Jin; Nan Li; Zidong Du; Qi Guo 001; Yunji Chen (ICLR, 2022)

BabelTower: Learning to Auto-parallelized Program Translation. - Yuanbo Wen; Qi Guo 001; Qiang Fu; Xiaqing Li; Jianxing Xu; Yanlin Tang; Yongwei Zhao; Xing Hu 001; Zidong Du; Ling Li 001; Chao Wang 003; Xuehai Zhou; et al. (ICML, 2022)

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. - Yifan Hao 001; Yongwei Zhao; Chenxiao Liu; Zidong Du; Shuyao Cheng; Xiaqing Li; Xing Hu 001; Qi Guo 001; Zhiwei Xu 002; Tianshi Chen 002 (MICRO, 2022)

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. - Shaohui Peng; Xing Hu 001; Rui Zhang 040; Ke Tang 001; Jiaming Guo; Qi Yi; Ruizhi Chen; Xishan Zhang; Zidong Du; Ling Li 001; Qi Guo 001; Yunji Chen (NeurIPS, 2022)

Accelerating Sparse Convolution with Column Vector-Wise Sparsity. - Yijun Tan; Kai Han 002; Kang Zhao; Xianzhi Yu; Zidong Du; Yunji Chen; Yunhe Wang 001; Jun Yao (NeurIPS, 2022)

Object-Category Aware Reinforcement Learning. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Xing Hu 001; Zidong Du; Xishan Zhang; Qi Guo 001; Yunji Chen (NeurIPS, 2022)

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. - Husheng Han; Xing Hu 001; Kaidi Xu; Pucheng Dang; Ying Wang 001; Yongwei Zhao; Zidong Du; Qi Guo 001; Yanzhi Yang; Tianshi Chen 002 (CoRR, 2022)

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System. - Zidong Du; Qi Guo 001; Yongwei Zhao; Xi Zeng; Ling Li 001; Limin Cheng; Zhiwei Xu 002; Ninghui Sun; Yunji Chen (IEEE Trans. Computers, 2022)

A Systematic View of Model Leakage Risks in Deep Neural Network Systems. - Xing Hu 001; Ling Liang; Xiaobing Chen; Lei Deng 003; Yu Ji 002; Yufei Ding 001; Zidong Du; Qi Guo 001; Timothy Sherwood; Yuan Xie 001 (IEEE Trans. Computers, 2022)

OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm. - Wenqi Lou; Lei Gong; Chao Wang 003; Zidong Du; Xuehai Zhou (IEEE Trans. Computers, 2022)

Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers. - Yuanbo Wen; Qi Guo 001; Zidong Du; Jianxing Xu; Zhenxing Zhang; Xing Hu 001; Wei Li 008; Rui Zhang 040; Chao Wang 003; Xuehai Zhou; Tianshi Chen 002 (IEEE Trans. Computers, 2022)

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. - Xinkai Song; Tian Zhi; Zhe Fan; Zhenxing Zhang; Xi Zeng; Wei Li 008; Xing Hu 001; Zidong Du; Qi Guo 001; Yunji Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. - Chang Liu 021; Xishan Zhang; Rui Zhang 040; Ling Li 001; Shiyi Zhou; Di Huang; Zhen Li; Zidong Du; Shaoli Liu; Tianshi Chen 002 (IEEE Trans. Image Process., 2022)

Online Symbolic Regression with Informative Query. - Pengwei Jin; Di Huang; Rui Zhang 040; Xing Hu 001; Ziyuan Nan; Zidong Du; Qi Guo 001; Yunji Chen (AAAI, 2023)

Conceptual Reinforcement Learning for Language-Conditioned Tasks. - Shaohui Peng; Xing Hu 001; Rui Zhang 040; Jiaming Guo; Qi Yi; Ruizhi Chen; Zidong Du; Ling Li 001; Qi Guo 001; Yunji Chen (AAAI, 2023)

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. - Jun Bi; Qi Guo 001; Xiaqing Li; Yongwei Zhao; Yuanbo Wen; Yuxuan Guo; Enshuai Zhou; Xing Hu 001; Zidong Du; Ling Li 001; Huaping Chen 001; Tianshi Chen 002 (ASPLOS (3), 2023)

BALTO: fast tensor program optimization with diversity-based active learning. - Jun Bi; Xiaqing Li; Qi Guo 001; Rui Zhang 040; Yuanbo Wen; Xing Hu 001; Zidong Du; Xinkai Song; Yifan Hao 001; Yunji Chen (ICLR, 2023)

Online Prototype Alignment for Few-shot Policy Transfer. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Yunkai Gao 001; Kaizhao Yuan; Ruizhi Chen; Siming Lan; Xing Hu 001; Zidong Du; Xishan Zhang; Qi Guo 001; et al. (ICML, 2023)

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. - Hongrui Guo; Yongwei Zhao; Zhangmai Li; Yifan Hao 001; Chang Liu 021; Xinkai Song; Xiaqing Li; Zidong Du; Rui Zhang 040; Qi Guo 001; Tianshi Chen 002; Zhiwei Xu 002 (MICRO, 2023)

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. - Xinkai Song; Yuanbo Wen; Xing Hu 001; Tianbo Liu 006; Haoxuan Zhou; Husheng Han; Tian Zhi; Zidong Du; Wei Li 008; Rui Zhang 040; Chen Zhang 001; Lin Gao 004; et al. (MICRO, 2023)

Context Shift Reduction for Offline Meta-Reinforcement Learning. - Yunkai Gao 001; Rui Zhang 040; Jiaming Guo; Fan Wu; Qi Yi; Shaohui Peng; Siming Lan; Ruizhi Chen; Zidong Du; Xing Hu 001; Qi Guo 001; Ling Li 001; et al. (NeurIPS, 2023)

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. - Jiaming Guo; Rui Zhang 040; Shaohui Peng; Qi Yi; Xing Hu 001; Ruizhi Chen; Zidong Du; Xishan Zhang; Ling Li 001; Qi Guo 001; Yunji Chen (NeurIPS, 2023)

Emergent Communication for Rules Reasoning. - Yuxuan Guo; Yifan Hao 001; Rui Zhang 040; Enshuai Zhou; Zidong Du; Xishan Zhang; Xinkai Song; Yuanbo Wen; Yongwei Zhao; Xuehai Zhou; Jiaming Guo; Qi Yi; et al. (NeurIPS, 2023)

ANPL: Towards Natural Programming with Interactive Decomposition. - Di Huang; Ziyuan Nan; Xing Hu 001; Pengwei Jin; Shaohui Peng; Yuanbo Wen; Rui Zhang 040; Zidong Du; Qi Guo 001; Yewen Pu; Yunji Chen (NeurIPS, 2023)

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. - Siming Lan; Rui Zhang 040; Qi Yi; Jiaming Guo; Shaohui Peng; Yunkai Gao 001; Fan Wu; Ruizhi Chen; Zidong Du; Xing Hu 001; Xishan Zhang; Ling Li 001; et al. (NeurIPS, 2023)

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. - Zikang Tian; Ruizhi Chen; Xing Hu 001; Ling Li 001; Rui Zhang 040; Fan Wu; Shaohui Peng; Jiaming Guo; Zidong Du; Qi Guo 001; Yunji Chen (NeurIPS, 2023)

Ultra-low Precision Multiplication-free Training for Deep Neural Networks. - Chang Liu 021; Rui Zhang 040; Xishan Zhang; Yifan Hao 001; Zidong Du; Xing Hu 001; Ling Li 001; Qi Guo 001 (CoRR, 2023)

ANPL: Compiling Natural Programs with Interactive Decomposition. - Di Huang; Ziyuan Nan; Xing Hu 001; Pengwei Jin; Shaohui Peng; Yuanbo Wen; Rui Zhang 040; Zidong Du; Qi Guo 001; Yewen Pu; Yunji Chen (CoRR, 2023)

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. - Zhengyue Zhao; Jinhao Duan; Xing Hu 001; Kaidi Xu; Chenan Wang; Rui Zhang 040; Zidong Du; Qi Guo 001; Yunji Chen (CoRR, 2023)

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. - Pucheng Dang; Xing Hu 001; Kaidi Xu; Jinhao Duan; Di Huang; Husheng Han; Rui Zhang 040; Zidong Du; Qi Guo 001; Yunji Chen (CoRR, 2023)

Pushing the Limits of Machine Design: Automated CPU Design with AI. - Shuyao Cheng; Pengwei Jin; Qi Guo 001; Zidong Du; Rui Zhang 040; Yunhao Tian; Xing Hu 001; Yongwei Zhao; Yifan Hao 001; Xiangtao Guan; Husheng Han; Zhengyue Zhao; et al. (CoRR, 2023)

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. - Shaohui Peng; Xing Hu 001; Qi Yi; Rui Zhang 040; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo 001; Yunji Chen; Ling Li 001 (CoRR, 2023)

Rescue to the Curse of universality. - Yongwei Zhao; Zidong Du; Qi Guo 001; Zhiwei Xu 002; Yunji Chen (Sci. China Inf. Sci., 2023)

Learning controllable elements oriented representations for reinforcement learning. - Qi Yi; Rui Zhang 040; Shaohui Peng; Jiaming Guo; Xing Hu 001; Zidong Du; Qi Guo 001; Ruizhi Chen; Ling Li 001; Yunji Chen (Neurocomputing, 2023)

Chip design with machine learning: a survey from algorithm perspective. - Wenkai He; Xiaqing Li; Xinkai Song; Yifan Hao 001; Rui Zhang 040; Zidong Du; Yunji Chen (Sci. China Inf. Sci., 2023)

Hardware Acceleration for SLAM in Mobile Systems. - Zhe Fan; Yifan Hao 001; Tian Zhi; Qi Guo 001; Zidong Du (J. Comput. Sci. Technol., 2023)

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. - Shaohui Peng; Xing Hu 001; Qi Yi; Rui Zhang 040; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo 001; Yunji Chen; Ling Li 001 (AAAI, 2024)

Emergent Communication for Numerical Concepts Generalization. - Enshuai Zhou; Yifan Hao 001; Rui Zhang 040; Yuxuan Guo; Zidong Du; Xishan Zhang; Xinkai Song; Chao Wang 003; Xuehai Zhou; Jiaming Guo; Qi Yi; Shaohui Peng; et al. (AAAI, 2024)

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. - Husheng Han; Xinyao Zheng; Yuanbo Wen; Yifan Hao 001; Erhu Feng; Ling Liang; Jianan Mu; Xiaqing Li; Tianyun Ma; Pengwei Jin; Xinkai Song; Zidong Du; et al. (ASPLOS (4), 2024)

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? - Zhengyue Zhao; Jinhao Duan; Kaidi Xu; Chenan Wang; Rui Zhang 040; Zidong Du; Qi Guo 001; Xing Hu 001 (CVPR, 2024)

Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation. - Shuyao Cheng; Chongxiao Li; Zidong Du; Rui Zhang 040; Xing Hu 001; Xiaqing Li; Guanglin Xu; Yuanbo Wen; Qi Guo 001 (DAC, 2024)

Explainable and Layout-Aware Timing Prediction. - Zhengyang Lyu; Xiaqing Li; Zidong Du; Qi Guo 001 (ICCAD, 2024)

Prompt-based Visual Alignment for Zero-shot Policy Transfer. - Haihan Gao; Rui Zhang 040; Qi Yi; Hantao Yao; Haochen Li 002; Jiaming Guo; Shaohui Peng; Yunkai Gao 001; QiCheng Wang; Xing Hu 001; Yuanbo Wen; Zihao Zhang; et al. (ICML, 2024)

Automated CPU Design by Learning from Input-Output Examples. - Shuyao Cheng; Pengwei Jin; Qi Guo 001; Zidong Du; Rui Zhang 040; Xing Hu 001; Yongwei Zhao; Yifan Hao 001; Xiangtao Guan; Husheng Han; Zhengyue Zhao; Ximing Liu; et al. (IJCAI, 2024)

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. - Weihao Kong; Yifan Hao 001; Qi Guo 001; Yongwei Zhao; Xinkai Song; Xiaqing Li; Mo Zou; Zidong Du; Rui Zhang 040; Chang Liu 021; Yuanbo Wen; Pengwei Jin; et al. (ISCA, 2024)

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization. - Yi Chen; Yongwei Zhao; Yifan Hao 001; Yuanbo Wen; Yuntao Dai; Xiaqing Li; Yang Liu; Rui Zhang 040; Mo Zou; Xinkai Song; Xing Hu 001; Zidong Du; et al. (MICRO, 2024)

Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference. - Hongrui Guo; Mo Zou; Yifan Hao 001; Zidong Du; Erxiang Ren; Yang Liu; Yongwei Zhao; Tianrui Ma; Rui Zhang 040; Xing Hu 001; Fei Qiao; Zhiwei Xu 002; et al. (MICRO, 2024)

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. - Zhongkai Yu; Shengwen Liang; Tianyun Ma; Yunke Cai; Ziyuan Nan; Di Huang; Xinkai Song; Yifan Hao 001; Jie Zhang 048; Tian Zhi; Yongwei Zhao; Zidong Du; et al. (MICRO, 2024)

ECFO: An Efficient Edge Classification-Based Fusion Optimizer for Deep Learning Compilers. - Wei Li 008; Pengcheng Wang; Yutong Wu; Kangcheng Liu; Lide Xue; Zidong Du; Xishan Zhang; Xuehai Zhou (SMC, 2024)

Assessing and Understanding Creativity in Large Language Models. - Yunpu Zhao; Rui Zhang 040; Wenyi Li; Di Huang; Jiaming Guo; Shaohui Peng; Yifan Hao 001; Yuanbo Wen; Xing Hu 001; Zidong Du; Qi Guo 001; Ling Li 001; et al. (CoRR, 2024)

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. - Yuxuan Guo; Shaohui Peng; Jiaming Guo; Di Huang; Xishan Zhang; Rui Zhang 040; Yifan Hao 001; Ling Li 001; Zikang Tian; Mingju Gao; Yutai Li; Yiming Gan; et al. (CoRR, 2024)

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization. - Zhengyue Zhao; Xiaoyun Zhang; Kaidi Xu; Xing Hu 001; Rui Zhang 040; Zidong Du; Qi Guo 001; Yunji Chen (CoRR, 2024)

InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. - Yutong Wu; Di Huang; Wenxuan Shi; Wei Wang; Lingzhe Gao; Shihao Liu; Ziyuan Nan; Kaizhao Yuan; Rui Zhang 040; Xishan Zhang; Zidong Du; Qi Guo 001; et al. (CoRR, 2024)

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization. - Yang Zhao 013; Di Huang; Chongxiao Li; Pengwei Jin; Ziyuan Nan; TianYun Ma; Lei Qi; Yansong Pan; Zhenxing Zhang; Rui Zhang 040; Xishan Zhang; Zidong Du; et al. (CoRR, 2024)

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks. - Xinyao Zheng; Husheng Han; Shangyi Shi; Qiyan Fang; Zidong Du; Xing Hu 001; Qi Guo 001 (CoRR, 2024)

AGON: Automated Design Framework for Customizing Processors from ISA Documents. - Chongxiao Li; Di Huang; Pengwei Jin; Tianyun Ma; Husheng Han; Shuyao Cheng; Yifan Hao 001; Yongwei Zhao; Guanglin Xu; Zidong Du; Rui Zhang 040; Xiaqing Li; et al. (CoRR, 2024)

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. - Husheng Han; Xing Hu 001; Yifan Hao 001; Kaidi Xu; Pucheng Dang; Ying Wang 001; Yongwei Zhao; Zidong Du; Qi Guo 001; Yanzhi Wang; Xishan Zhang; Tianshi Chen 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses. - Feng Xue; Chenji Han; Xinyu Li 010; Junliang Wu; Tingting Zhang; Tianyi Liu; Yifan Hao 001; Zidong Du; Qi Guo 001; Fuxin Zhang (ACM Trans. Archit. Code Optim., 2024)

FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space. - Xiaqing Li; Qi Guo 001; Guangyan Zhang; Siwei Ye; Guanhua He; Yiheng Yao; Rui Zhang 040; Yifan Hao 001; Zidong Du; Weimin Zheng (IEEE Trans. Parallel Distributed Syst., 2024)

Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product. - Xiaobo Lu; Jianbin Fang; Lin Peng 001; Chun Huang; Zidong Du; Yongwei Zhao; Zheng Wang 001 (ACM Trans. Archit. Code Optim., 2024)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. - Yutong Wu; Di Huang; Wenxuan Shi; Wei Wang; Yewen Pu; Lingzhe Gao; Shihao Liu; Ziyuan Nan; Kaizhao Yuan; Rui Zhang 040; Xishan Zhang; Zidong Du; et al. (AAAI, 2025)

Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with iTex Tessellation. - Jianxing Xu; Yuanbo Wen; Zikang Liu; Ruibai Xu; Tingfeng Ruan; Jun Bi; Rui Zhang 040; Di Huang; Xinkai Song; Yifan Hao 001; Xing Hu 001; Zidong Du; et al. (ASPLOS (2), 2025)

CISGraph: A Contribution-Driven Accelerator for Pairwise Streaming Graph Analytics. - Songyu Feng; Mo Zou; Tian Zhi; Zidong Du (DATE, 2025)

Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation. - Zhifei Yue; Xinkai Song; Tianbo Liu 006; Xing Hu 001; Rui Zhang 040; Zidong Du; Wei Li 008; Qi Guo 001; Tianshi Chen 002 (HPCA, 2025)

Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. - Tianbo Liu 006; Xinkai Song; Zhifei Yue; Rui Wen; Xing Hu 001; Zhuoran Song; Yuanbo Wen; Yifan Hao 001; Wei Li 008; Zidong Du; Rui Zhang 040; Jiaming Guo; et al. (ISCA, 2025)

Bottom-Up and Top-Down Thoughts for Visual Intention Grounding. - Kangcheng Liu; Junbin Xiao; Rui Zhang 040; Hanqi Lv; Zidong Du (ICMR, 2025)

Morphology generalizable reinforcement learning via multi-level graph features. - Yansong Pan; Rui Zhang 040; Jiaming Guo; Shaohui Peng; Fan Wu; Kaizhao Yuan; Yunkai Gao 001; Siming Lan; Ruizhi Chen; Ling Li 001; Xing Hu 001; Zidong Du; et al. (Neurocomputing, 2025)

AI Computing Systems for Large Language Models Training. - Zhen-Xing Zhang; Yuanbo Wen; Han-Qi Lyu; Chang Liu 021; Rui Zhang 040; Xia-Qing Li; Chao Wang 003; Zidong Du; Qi Guo 001; Ling Li 001; Xue-Hai Zhou; Yun-Ji Chen (J. Comput. Sci. Technol., 2025)

Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators. - Jun Bi; Yuanbo Wen; Xiaqing Li; Yongwei Zhao; Yuxuan Guo; Enshuai Zhou; Xing Hu 001; Zidong Du; Ling Li 001; Huaping Chen 001; Tianshi Chen 002; Qi Guo 001 (IEEE Trans. Computers, 2025)

Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression. - Tianyun Ma; Yuanbo Wen; Xinkai Song; Pengwei Jin; Di Huang; Husheng Han; Ziyuan Nan; Zhongkai Yu; Shaohui Peng; Yongwei Zhao; Huaping Chen 001; Zidong Du; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption. - Shangyi Shi; Husheng Han; Jianan Mu; Xinyao Zheng; Ling Liang; Hang Lu; Zidong Du; Xiaowei Li 001; Xing Hu 001; Qi Guo 001 (CoRR, 2025)

QiMeng-CPU-v2: Automated Superscalar Processor Design by Learning Data Dependencies. - Shuyao Cheng; Rui Zhang 040; Wenkai He; Pengwei Jin; Chongxiao Li; Zidong Du; Xing Hu 001; Yifan Hao 001; Guanglin Xu; Yuanbo Wen; Ling Li 001; Qi Guo 001; et al. (CoRR, 2025)

CodeV-R1: Reasoning-Enhanced Verilog Generation. - Yaoyu Zhu; Di Huang; Han-Qi Lyu; Xiaoyun Zhang; Chongxiao Li; Wenxuan Shi; Yutong Wu; Jianan Mu; Jinghua Wang; Yang Zhao 013; Pengwei Jin; Shuyao Cheng; et al. (CoRR, 2025)

QiMeng: Fully Automated Hardware and Software Design for Processor Chip. - Rui Zhang 040; Yuanbo Wen; Shuyao Cheng; Di Huang; Shaohui Peng; Jiaming Guo; Pengwei Jin; Jiacheng Zhao; Tianrui Ma; Yaoyu Zhu; Yifan Hao 001; Yongwei Zhao; et al. (CoRR, 2025)

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs. - Pengwei Jin; Di Huang; Chongxiao Li; Shuyao Cheng; Yang Zhao 013; Xinyao Zheng; Jiaguo Zhu; Shuyi Xing; Bohan Dou; Rui Zhang 040; Zidong Du; Qi Guo 001; et al. (CoRR, 2025)

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion. - Yutong Wu; Di Huang; Ruosi Wan; Yue Peng; Shijie Shang; Chenrui Cao; Lei Qi; Rui Zhang 040; Zidong Du; Jie Yang 002; Xing Hu 001 (CoRR, 2025)