Tianshi Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 38

Top Topics

Instruction Set Architecture

Top Venues

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

IEEE Trans. Computers

Publications

Huang Lei, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi Chen
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding. ACL (1) (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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen
Distilling Object Detectors with Feature Richness. CoRR (2021)
Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen
Distilling Object Detectors with Feature Richness. NeurIPS (2021)
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)
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)
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)
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)
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)
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)
Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen
TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. CCGrid (2017)
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)
Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen
DaDianNao: A Neural Network Supercomputer. IEEE Trans. Computers 66 (1) (2017)
Zhen Li, Yuqing Wang, Tian Zhi, Tianshi Chen
A survey of neural network accelerators. Frontiers Comput. Sci. 11 (5) (2017)
Yubin Xia, Yutao Liu, Haibing Guan, Yunji Chen, Tianshi Chen, Binyu Zang, Haibo Chen
Secure Outsourcing of Virtual Appliance. IEEE Trans. Cloud Comput. 5 (3) (2017)
Jinhua Tao, Shi Qiu, Shaoli Liu, Tianshi Chen, Rui Mao
Stealth-ACK: stealth transmissions of NoC acknowledgements. Sci. China Inf. Sci. 60 (9) (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)
Deheng Qian, Tianshi Chen, Hong Qiao, Tang Tang
Iterative Point Matching via multi-direction geometric serialization and reliable correspondence selection. Neurocomputing 197 (2016)
Qi Guo, Tianshi Chen, Yunji Chen, Franz Franchetti
Accelerating Architectural Simulation Via Statistical Techniques: A Survey. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (3) (2016)
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)
Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam
DianNao family: energy-efficient hardware accelerators for machine learning. Commun. ACM 59 (11) (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)
Shaoli Liu, Tianshi Chen, Ling Li, Xiaoxue Feng, Zhiwei Xu, Haibo Chen, Frederic T. Chong, Yunji Chen
IMR: High-Performance Low-Cost Multi-Ring NoCs. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
Deheng Qian, Tianshi Chen, Hong Qiao
Geodesic-like features for point matching. Neurocomputing 218 (2016)
Shaoli Liu, Tianshi Chen, Ling Li, Xi Li, Mingzhe Zhang, Chao Wang, Haibo Meng, Xuehai Zhou, Yunji Chen
FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information. IEEE Trans. Parallel Distributed Syst. 26 (8) (2015)
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)
Xiaochun Zhang, Qi Guo, Yunji Chen, Tianshi Chen, Weiwu Hu
HERMES: a fast cross-ISA binary translator with post-optimization. CGO (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)
Jun He, Tianshi Chen, Xin Yao
On the Easiest and Hardest Fitness Functions. IEEE Trans. Evol. Comput. 19 (2) (2015)
Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen
Deterministic Replay: A Survey. ACM Comput. Surv. 48 (2) (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)
Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen
PuDianNao: A Polyvalent Machine Learning Accelerator. ASPLOS (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)
Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, Yunji Chen
Statistical Performance Comparisons of Computers. IEEE Trans. Computers 64 (5) (2015)
Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen
Robust Design Space Modeling. ACM Trans. Design Autom. Electr. Syst. 20 (2) (2015)
Yue Wu, Yunji Chen, Tianshi Chen, Qi Guo, Lei Zhang
An Elastic Architecture Adaptable to Various Application Scenarios. J. Comput. Sci. Technol. 29 (2) (2014)
Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen
ArchRanker: A ranking approach to design space exploration. ISCA (2014)
Yi-Xiao Yin, Yunji Chen, Qi Guo, Tianshi Chen
Prevention from Soft Errors via Architecture Elasticity. J. Comput. Sci. Technol. 29 (2) (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)
Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam
DaDianNao: A Machine-Learning Supercomputer. MICRO (2014)
Qi Guo, Tianshi Chen, Yunji Chen, Rui Wang, Huanhuan Chen, Weiwu Hu, Guoliang Chen
Pre-Silicon Bug Forecast. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33 (3) (2014)
Qi Guo, Tianshi Chen, Yunji Chen, Ling Li, Weiwu Hu
Microarchitectural design space exploration made fast. Microprocess. Microsystems 37 (1) (2013)
Weishan Dong, Tianshi Chen, Peter Tiño, Xin Yao
Scaling Up Estimation of Distribution Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 17 (6) (2013)
Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, Zhiwei Xu
Effective and efficient microprocessor design space exploration using unlabeled design configurations. ACM Trans. Intell. Syst. Technol. 5 (1) (2013)
Yunji Chen, Tianshi Chen, Ling Li, Lei Li, Liang Yang, Menghao Su, Weiwu Hu
LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging. IEEE Trans. Computers 62 (9) (2013)
Ling Li, Shaoli Liu, Yunji Chen, Tianshi Chen, Tao Luo
Motion Estimation Without Integer-Pel Search. IEEE Trans. Image Process. 22 (4) (2013)
Yunji Chen, Tianshi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Weiwu Hu
Deterministic Replay Using Global Clock. ACM Trans. Archit. Code Optim. 10 (1) (2013)
Weiwu Hu, Yunji Chen, Tianshi Chen, Cheng Qian, Lei Li
Linear Time Memory Consistency Verification. IEEE Trans. Computers 61 (4) (2012)
Tianshi Chen, Yunji Chen, Qi Guo, Olivier Temam, Yue Wu, Weiwu Hu
Statistical performance comparisons of computers. HPCA (2012)
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
A large population size can be unhelpful in evolutionary algorithms. Theor. Comput. Sci. 436 (2012)
Jun He, Tianshi Chen
A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions CoRR (2012)
Shaoli Liu, Yunji Chen, Tianshi Chen, Ling Li, Chao Lu
Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network CoRR (2012)
Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen
Performance Prediction for Reconfigurable Processor. HPCC-ICESS (2012)
Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko H. Lipasti, Andrew Nere, Shi Qiu, Michèle Sebag, Olivier Temam
BenchNN: On the broad potential application scope of hardware neural network accelerators. IISWC (2012)
Wei Liu, Tianshi Chen, Peng Wang, Hong Qiao
Pose Estimation for 3D Workpiece Grasping in Industrial Environment Based on Evolutionary Algorithm. J. Intell. Robotic Syst. 68 (3-4) (2012)
Yunji Chen, Tianshi Chen, Qi Guo, Zhiwei Xu, Lei Zhang
An Elastic Architecture Adaptable to Millions of Application Scenarios. NPC (2012)
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
A Large Population Size Can Be Unhelpful in Evolutionary Algorithms CoRR (2012)
Yunji Chen, Lei Li, Tianshi Chen, Ling Li, Lei Wang, Xiaoxue Feng, Weiwu Hu
Program Regularization in Memory Consistency Verification. IEEE Trans. Parallel Distributed Syst. 23 (11) (2012)
Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Ruiyang Wu
RepTFD: Replay Based Transient Fault Detection CoRR (2012)
Tianshi Chen, Yunji Chen, Ke Tang, Guoliang Chen, Xin Yao
The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization CoRR (2011)
Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu
Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. IJCAI (2011)
Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Yue Wu, Weiwu Hu
Empirical design bugs prediction for verification. DATE (2011)
Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Cheng Qian, Weiwu Hu
Brief announcement: program regularization in verifying memory consistency. SPAA (2011)
Ke Tang, Rui Wang, Tianshi Chen
Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. AAAI (2011)
Jun He, Tianshi Chen
Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius CoRR (2011)
Weiwu Hu, Yan-Ping Gao, Tianshi Chen, Jun-Hua Xiao
The Godson Processors: Its Research, Development, and Contributions. J. Comput. Sci. Technol. 26 (3) (2011)
Weishan Dong, Tianshi Chen, Peter Tiño, Xin Yao
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization CoRR (2011)
Qi Guo, Yunji Chen, Tianshi Chen, Ling Li
Efficient Deterministic Replay Using Complete Race Detection CoRR (2011)
Shaoli Liu, Ling Li, Yunji Chen, Tianshi Chen
Video Encoding without Integer-Pel Motion Estimation. DCC (2011)
Tianshi Chen, Jun He, Guoliang Chen, Xin Yao
Choosing selection pressure for wide-gap problems. Theor. Comput. Sci. 411 (6) (2010)
Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Weiwu Hu
On-the-Fly Reduction of Stimuli for Functional Verification. Asian Test Symposium (2010)
Yunji Chen, Weiwu Hu, Tianshi Chen, Ruiyang Wu
LReplay: a pending period based deterministic replay scheme. ISCA (2010)
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Analysis of Computational Time of Simple Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. 14 (1) (2010)
Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen
Estimating design quality of digital systems via machine learning. ICECS (2010)
Tianshi Chen, Per Kristian Lehre, Ke Tang, Xin Yao
When is an estimation of distribution algorithm better than an evolutionary algorithm? IEEE Congress on Evolutionary Computation (2009)
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. IEEE Congress on Evolutionary Computation (2009)
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. IEEE Congress on Evolutionary Computation (2009)
Yunji Chen, Yi Lv, Weiwu Hu, Tianshi Chen, Haihua Shen, Pengyu Wang, Hong Pan
Fast complete memory consistency verification. HPCA (2009)
Yunji Chen, Ke Tang, Tianshi Chen
A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. IEEE Congress on Evolutionary Computation (2009)
Tianshi Chen, Jun He, Guangzhong Sun, Guoliang Chen, Xin Yao
A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. IEEE Trans. Syst. Man Cybern. Part B 39 (5) (2009)
Yunji Chen, Tianshi Chen, Weiwu Hu
Global Clock, Physical Time Order and Pending Period Analysis in Multiprocessor Systems CoRR (2009)
Xin Yu, Ke Tang, Tianshi Chen, Xin Yao
Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memetic Comput. 1 (1) (2009)
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
On the analysis of average time complexity of estimation of distribution algorithms. IEEE Congress on Evolutionary Computation (2007)