Zidong Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
19
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Efficient Diffusion Planning with Temporal Diffusion. | Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, Shaohui Peng, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Ling Li |
| 2026 | AAAI | QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression. | Lei Huang, Rui Zhang, Jiaming Guo, Yang Zhang, Di Huang, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yunji Chen, Qi Guo |
| 2026 | AAAI | 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, Xishan Zhang, Zidong Du, Jie Yang, Xing Hu |
| 2026 | ACL | QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization. | Changxin Ke, Rui Zhang, Jiaming Guo, Yuanbo Wen, Li Ding, Shuo Wang, Xuyuan Zhu, Xiong Peng, Di Huang, Zidong Du, Xing Hu, Qi Guo, Yunji Chen |
| 2026 | ASPDAC | 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, Xing Hu |
| 2026 | ASPLOS | Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates. | Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen |
| 2026 | HPCA | Cambricon-CIM: Enabling Energy-Efficient and Error-Resilient Analog CIM Acceleration via Reformation of Coding Bases. | Hongrui Guo, Tianrui Ma, Zidong Du, Mo Zou, Yifan Hao, Yongwei Zhao, Rui Zhang, Wei Li, Xing Hu, Zhiwei Xu, Qi Guo, Tianshi Chen |
| 2026 | HPCA | Cambricon-GS: An Accelerator for 3D Gaussian Splatting Training With Gaussian-Pixel Hybrid Parallelism. | Rui Wen, Zhifei Yue, Tianbo Liu, Xinkai Song, Jin Li, Di Huang, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen |
| 2026 | ISCA | He | Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang, Jianan Mu, Tenghui Hua, Ge Yu, Xinyao Zheng, Ling Liang, Zidong Du, Xing Hu |
| 2025 | AAAI | 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, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen |
| 2025 | ASPLOS | Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with | Jianxing Xu, Yuanbo Wen, Zikang Liu, Ruibai Xu, Tingfeng Ruan, Jun Bi, Rui Zhang, Di Huang, Xinkai Song, Yifan Hao, Xing Hu, Zidong Du, Chongqing Zhao, Jiang Jie, Qi Guo |
| 2025 | DATE | CISGraph: A Contribution-Driven Accelerator for Pairwise Streaming Graph Analytics. | Songyu Feng, Mo Zou, Tian Zhi, Zidong Du |
| 2025 | HPCA | Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation. | Zhifei Yue, Xinkai Song, Tianbo Liu, Xing Hu, Rui Zhang, Zidong Du, Wei Li, Qi Guo, Tianshi Chen |
| 2025 | IJCAI | Automated Superscalar Processor Design by Learning Data Dependencies. | Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen |
| 2025 | ISCA | Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. | Tianbo Liu, Xinkai Song, Zhifei Yue, Rui Wen, Xing Hu, Zhuoran Song, Yuanbo Wen, Yifan Hao, Wei Li, Zidong Du, Rui Zhang, Jiaming Guo, Di Huang, Shaohui Peng, Guangzhong Sun, Qi Guo, Tianshi Chen |
| 2025 | SOSP | Orthrus: Efficient and Timely Detection of Silent User Data Corruption in the Cloud with Resource-Adaptive Computation Validation. | Chenxiao Liu, Zhenting Zhu, Quanxi Li, Yanwen Xia, Yifan Qiao, Xiangyun Deng, Youyou Lu, Tao Xie, Huimin Cui, Zidong Du, Harry Xu, Chenxi Wang |
| 2024 | AAAI | Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. | Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li |
| 2024 | AAAI | Emergent Communication for Numerical Concepts Generalization. | 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 |
| 2024 | ASPLOS | TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. | 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 |
| 2024 | CVPR | Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? | Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu |
| 2024 | DAC | Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation. | Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo |
| 2024 | ICCAD | Explainable and Layout-Aware Timing Prediction. | Zhengyang Lyu, Xiaqing Li, Zidong Du, Qi Guo |
| 2024 | ICML | Prompt-based Visual Alignment for Zero-shot Policy Transfer. | 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 |
| 2024 | IJCAI | Automated CPU Design by Learning from Input-Output Examples. | 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 |
| 2024 | ISCA | Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. | 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 |
| 2024 | MICRO | Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization. | Yi Chen, Yongwei Zhao, Yifan Hao, Yuanbo Wen, Yuntao Dai, Xiaqing Li, Yang Liu, Rui Zhang, Mo Zou, Xinkai Song, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen |
| 2024 | MICRO | Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference. | Hongrui Guo, Mo Zou, Yifan Hao, Zidong Du, Erxiang Ren, Yang Liu, Yongwei Zhao, Tianrui Ma, Rui Zhang, Xing Hu, Fei Qiao, Zhiwei Xu, Qi Guo, Tianshi Chen |
| 2024 | MICRO | 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, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen |
| 2024 | SMC | ECFO: An Efficient Edge Classification-Based Fusion Optimizer for Deep Learning Compilers. | Wei Li, Pengcheng Wang, Yutong Wu, Kangcheng Liu, Lide Xue, Zidong Du, Xishan Zhang, Xuehai Zhou |
| 2023 | AAAI | Online Symbolic Regression with Informative Query. | Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen |
| 2023 | AAAI | Conceptual Reinforcement Learning for Language-Conditioned Tasks. | Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen |
| 2023 | ASPLOS | Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. | Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen |
| 2023 | ICLR | BALTO: fast tensor program optimization with diversity-based active learning. | Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen |
| 2023 | ICML | Online Prototype Alignment for Few-shot Policy Transfer. | 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 |
| 2023 | MICRO | Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. | Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu |
| 2023 | MICRO | Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. | 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 |
| 2022 | DAC | In-situ self-powered intelligent vision system with inference-adaptive energy scheduling for BNN-based always-on perception. | Maimaiti Nazhamaiti, Haijin Su, Han Xu, Zheyu Liu, Fei Qiao, Qi Wei, Zidong Du, Xinghua Yang, Li Luo |
| 2022 | ICLR | Neural Program Synthesis with Query. | Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen |
| 2022 | ICML | BabelTower: Learning to Auto-parallelized Program Translation. | 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 |
| 2022 | MICRO | Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. | Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen |
| 2021 | IJCAI | Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. | Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen |
| 2021 | ISCA | Cambricon-Q: A Hybrid Architecture for Efficient Training. | 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 |
| 2020 | AAAI | DWM: A Decomposable Winograd Method for Convolution Acceleration. | Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen |
| 2020 | CVPR | Fixed-Point Back-Propagation Training. | Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen |
| 2020 | DAC | Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. | Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo |
| 2020 | ICCD | ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. | Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen |
| 2019 | AAAI | TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. | Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen |
| 2019 | ISCA | Cambricon-F: machine learning computers with fractal von neumann architecture. | Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen |
| 2018 | MICRO | Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach. | Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen |
| 2018 | NPC | DLIR: An Intermediate Representation for Deep Learning Processors. | Huiying Lan, Zidong Du |
| 2016 | ISCA | Cambricon: An Instruction Set Architecture for Neural Networks. | Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, Tianshi Chen |
| 2016 | MICRO | Cambricon-X: An accelerator for sparse neural networks. | Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen |
| 2015 | DATE | Retraining-based timing error mitigation for hardware neural networks. | Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu |
| 2015 | ISCA | ShiDianNao: shifting vision processing closer to the sensor. | Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam |
| 2015 | MICRO | Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches. | Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam |
| 2014 | ASPDAC | 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 |
| 2014 | ASPLOS | DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. | Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam |
| 2011 | ISADS | System-Level Evaluation of Video Processing System Using SimpleScalar-Based Multi-core Processor Simulator. | Zidong Du, Bingbing Xia, Fei Qiao, Huazhong Yang |