Tianshi Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
20
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | QiMeng-Tensify: Scaling Up Tensor Computation Optimization via Architecture-Aware LLM-Guided MCTS. | Shouyang Dong, Jun Bi, Yuanbo Wen, Xiyue Yu, Jianxing Xu, Guanglin Xu, Ling Li, Xuehai Zhou, Tianshi Chen, Qi Guo |
| 2026 | PPoPP | FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism. | Jianxing Xu, Yuanbo Wen, Jun Bi, Ruibai Xu, Guanglin Xu, Rui Zhang, Wei Li, Ling Li, Tianshi Chen, Qi Guo, Yunji Chen |
| 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 | 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 | OSDI | QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach. | Shouyang Dong, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Ling Li, Xuehai Zhou, Tianshi Chen, Qi Guo, Yunji Chen |
| 2024 | ACL | Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding. | Huang Lei, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi 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 |
| 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 | 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 | 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 | 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 |
| 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 | FUSION | Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression. | Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis |
| 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 |
| 2017 | CCGRID | TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. | Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen |
| 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 | ASPLOS | PuDianNao: A Polyvalent Machine Learning Accelerator. | Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen |
| 2015 | CGO | HERMES: a fast cross-ISA binary translator with post-optimization. | Xiaochun Zhang, Qi Guo, Yunji Chen, Tianshi Chen, Weiwu Hu |
| 2015 | ICASSP | Maximum entropy property of discrete-time stable spline kernel. | Tohid Ardeshiri, Tianshi Chen |
| 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 | 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 |
| 2014 | ISCA | ArchRanker: A ranking approach to design space exploration. | Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen |
| 2014 | MICRO | DaDianNao: A Machine-Learning Supercomputer. | Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam |
| 2012 | HPCA | Statistical performance comparisons of computers. | Tianshi Chen, Yunji Chen, Qi Guo, Olivier Temam, Yue Wu, Weiwu Hu |
| 2012 | HPCC | Performance Prediction for Reconfigurable Processor. | Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen |
| 2012 | NPC | An Elastic Architecture Adaptable to Millions of Application Scenarios. | Yunji Chen, Tianshi Chen, Qi Guo, Zhiwei Xu, Lei Zhang |
| 2011 | AAAI | Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. | Ke Tang, Rui Wang, Tianshi Chen |
| 2011 | DATE | Empirical design bugs prediction for verification. | Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Yue Wu, Weiwu Hu |
| 2011 | DCC | Video Encoding without Integer-Pel Motion Estimation. | Shaoli Liu, Ling Li, Yunji Chen, Tianshi Chen |
| 2011 | IJCAI | Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. | Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu |
| 2011 | SPAA | Brief announcement: program regularization in verifying memory consistency. | Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Cheng Qian, Weiwu Hu |
| 2010 | ISCA | LReplay: a pending period based deterministic replay scheme. | Yunji Chen, Weiwu Hu, Tianshi Chen, Ruiyang Wu |
| 2009 | CEC | When is an estimation of distribution algorithm better than an evolutionary algorithm? | Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao |
| 2009 | CEC | A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. | Yunji Chen, Ke Tang, Tianshi Chen |
| 2009 | CEC | Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. | Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao |
| 2009 | CEC | A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. | Zai Wang, Tianshi Chen, Ke Tang, Xin Yao |
| 2009 | HPCA | Fast complete memory consistency verification. | Yunji Chen, Yi Lv, Weiwu Hu, Tianshi Chen, Haihua Shen, Pengyu Wang, Hong Pan |
| 2007 | CEC | On the analysis of average time complexity of estimation of distribution algorithms. | Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao |
| 2004 | ICARCV | An approach to integral input-to-state stabilization via satisficing strategy. | Tianshi Chen, Zhiyuan Liu, Run Pei, Hong Chen |