On the analysis of average time complexity of estimation of distribution algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2007)

When is an estimation of distribution algorithm better than an evolutionary algorithm? - Tianshi Chen 002; Per Kristian Lehre; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming. - Yunji Chen; Ke Tang 001; Tianshi Chen 002 (IEEE Congress on Evolutionary Computation, 2009)

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. - Zai Wang; Tianshi Chen 002; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

Fast complete memory consistency verification. - Yunji Chen; Yi Lv; Weiwu Hu; Tianshi Chen 002; Haihua Shen; Pengyu Wang; Hong Pan (HPCA, 2009)

Global Clock, Physical Time Order and Pending Period Analysis in Multiprocessor Systems - Yunji Chen; Tianshi Chen 002; Weiwu Hu (CoRR, 2009)

Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. - Xin Yu 007; Ke Tang 001; Tianshi Chen 002; Xin Yao 001 (Memetic Comput., 2009)

A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. - Tianshi Chen 002; Jun He 004; Guangzhong Sun; Guoliang Chen 001; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part B, 2009)

On-the-Fly Reduction of Stimuli for Functional Verification. - Qi Guo 001; Tianshi Chen 002; Haihua Shen; Yunji Chen; Weiwu Hu (Asian Test Symposium, 2010)

Estimating design quality of digital systems via machine learning. - Qi Guo 001; Tianshi Chen 002; Haihua Shen; Yunji Chen (ICECS, 2010)

LReplay: a pending period based deterministic replay scheme. - Yunji Chen; Weiwu Hu; Tianshi Chen 002; Ruiyang Wu 001 (ISCA, 2010)

Choosing selection pressure for wide-gap problems. - Tianshi Chen 002; Jun He 004; Guoliang Chen 001; Xin Yao 001 (Theor. Comput. Sci., 2010)

Analysis of Computational Time of Simple Estimation of Distribution Algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2010)

Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. - Ke Tang 001; Rui Wang 022; Tianshi Chen 002 (AAAI, 2011)

Empirical design bugs prediction for verification. - Qi Guo 001; Tianshi Chen 002; Haihua Shen; Yunji Chen; Yue Wu; Weiwu Hu (DATE, 2011)

Video Encoding without Integer-Pel Motion Estimation. - Shaoli Liu; Ling Li 001; Yunji Chen; Tianshi Chen 002 (DCC, 2011)

Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations. - Qi Guo 001; Tianshi Chen 002; Yunji Chen; Zhi-Hua Zhou; Weiwu Hu; Zhiwei Xu 002 (IJCAI, 2011)

Brief announcement: program regularization in verifying memory consistency. - Lei Li; Tianshi Chen 002; Yunji Chen; Ling Li 001; Cheng Qian; Weiwu Hu (SPAA, 2011)

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization - Tianshi Chen 002; Yunji Chen; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (CoRR, 2011)

Efficient Deterministic Replay Using Complete Race Detection - Qi Guo 001; Yunji Chen; Tianshi Chen 002; Ling Li 001 (CoRR, 2011)

Population Scalability Analysis of Abstract Population-based Random Search: Spectral Radius - Jun He 004; Tianshi Chen 002 (CoRR, 2011)

The Godson Processors: Its Research, Development, and Contributions. - Weiwu Hu; Yan-Ping Gao; Tianshi Chen 002; Jun-Hua Xiao (J. Comput. Sci. Technol., 2011)

Statistical performance comparisons of computers. - Tianshi Chen 002; Yunji Chen; Qi Guo 001; Olivier Temam; Yue Wu; Weiwu Hu (HPCA, 2012)

Performance Prediction for Reconfigurable Processor. - Dao-Fu Liu; Qi Guo 001; Tianshi Chen 002; Ling Li 001; Yunji Chen (HPCC-ICESS, 2012)

BenchNN: On the broad potential application scope of hardware neural network accelerators. - Tianshi Chen 002; Yunji Chen; Marc Duranton; Qi Guo 001; Atif Hashmi; Mikko H. Lipasti; Andrew Nere; Shi Qiu; Michèle Sebag; Olivier Temam (IISWC, 2012)

An Elastic Architecture Adaptable to Millions of Application Scenarios. - Yunji Chen; Tianshi Chen 002; Qi Guo 001; Zhiwei Xu 002; Lei Zhang 008 (NPC, 2012)

A General Analysis of Evolutionary Algorithms for Hard and Easy Fitness Functions - Jun He 004; Tianshi Chen 002 (CoRR, 2012)

RepTFD: Replay Based Transient Fault Detection - Lei Li; Tianshi Chen 002; Yunji Chen; Ling Li 001; Ruiyang Wu 001 (CoRR, 2012)

Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network - Shaoli Liu; Yunji Chen; Tianshi Chen 002; Ling Li 001; Chao Lu (CoRR, 2012)

Pose Estimation for 3D Workpiece Grasping in Industrial Environment Based on Evolutionary Algorithm. - Wei Liu; Tianshi Chen 002; Peng Wang 024; Hong Qiao (J. Intell. Robotic Syst., 2012)

Linear Time Memory Consistency Verification. - Weiwu Hu; Yunji Chen; Tianshi Chen 002; Cheng Qian; Lei Li (IEEE Trans. Computers, 2012)

A large population size can be unhelpful in evolutionary algorithms. - Tianshi Chen 002; Ke Tang 001; Guoliang Chen 001; Xin Yao 001 (Theor. Comput. Sci., 2012)

Program Regularization in Memory Consistency Verification. - Yunji Chen; Lei Li; Tianshi Chen 002; Ling Li 001; Lei Wang; Xiaoxue Feng; Weiwu Hu (IEEE Trans. Parallel Distributed Syst., 2012)

Microarchitectural design space exploration made fast. - Qi Guo 001; Tianshi Chen 002; Yunji Chen; Ling Li 001; Weiwu Hu (Microprocess. Microsystems, 2013)

Deterministic Replay Using Global Clock. - Yunji Chen; Tianshi Chen 002; Ling Li 001; Ruiyang Wu 001; Dao-Fu Liu; Weiwu Hu (ACM Trans. Archit. Code Optim., 2013)

LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging. - Yunji Chen; Tianshi Chen 002; Ling Li 001; Lei Li; Liang Yang; Menghao Su; Weiwu Hu (IEEE Trans. Computers, 2013)

Scaling Up Estimation of Distribution Algorithms for Continuous Optimization. - Weishan Dong; Tianshi Chen 002; Peter Tiño; Xin Yao 001 (IEEE Trans. Evol. Comput., 2013)

Motion Estimation Without Integer-Pel Search. - Ling Li 001; Shaoli Liu; Yunji Chen; Tianshi Chen 002; Tao Luo (IEEE Trans. Image Process., 2013)

Effective and efficient microprocessor design space exploration using unlabeled design configurations. - Tianshi Chen 002; Yunji Chen; Qi Guo 001; Zhi-Hua Zhou; Ling Li 001; Zhiwei Xu 002 (ACM Trans. Intell. Syst. Technol., 2013)

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)

ArchRanker: A ranking approach to design space exploration. - Tianshi Chen 002; Qi Guo 001; Ke Tang 001; Olivier Temam; Zhiwei Xu 002; Zhi-Hua Zhou; Yunji Chen (ISCA, 2014)

DaDianNao: A Machine-Learning Supercomputer. - Yunji Chen; Tao Luo; Shaoli Liu; Shijin Zhang; Liqiang He; Jia Wang; Ling Li 001; Tianshi Chen 002; Zhiwei Xu 002; Ninghui Sun; Olivier Temam (MICRO, 2014)

An Elastic Architecture Adaptable to Various Application Scenarios. - Yue Wu; Yunji Chen; Tianshi Chen 002; Qi Guo 001; Lei Zhang 008 (J. Comput. Sci. Technol., 2014)

Prevention from Soft Errors via Architecture Elasticity. - Yi-Xiao Yin; Yunji Chen; Qi Guo 001; Tianshi Chen 002 (J. Comput. Sci. Technol., 2014)

Pre-Silicon Bug Forecast. - Qi Guo 001; Tianshi Chen 002; Yunji Chen; Rui Wang 022; Huanhuan Chen; Weiwu Hu; Guoliang Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

PuDianNao: A Polyvalent Machine Learning Accelerator. - Dao-Fu Liu; Tianshi Chen 002; Shaoli Liu; Jinhong Zhou; Shengyuan Zhou; Olivier Temam; Xiaobing Feng 002; Xuehai Zhou; Yunji Chen (ASPLOS, 2015)

HERMES: a fast cross-ISA binary translator with post-optimization. - Xiaochun Zhang; Qi Guo 001; Yunji Chen; Tianshi Chen 002; Weiwu Hu (CGO, 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)

Deterministic Replay: A Survey. - Yunji Chen; Shijin Zhang; Qi Guo 001; Ling Li 001; Ruiyang Wu 001; Tianshi Chen 002 (ACM Comput. Surv., 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)

Statistical Performance Comparisons of Computers. - Tianshi Chen 002; Qi Guo 001; Olivier Temam; Yue Wu; Yungang Bao; Zhiwei Xu 002; Yunji Chen (IEEE Trans. Computers, 2015)

On the Easiest and Hardest Fitness Functions. - Jun He 004; Tianshi Chen 002; Xin Yao 001 (IEEE Trans. Evol. Comput., 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)

Robust Design Space Modeling. - Qi Guo 001; Tianshi Chen 002; Zhi-Hua Zhou; Olivier Temam; Ling Li 001; Depei Qian; Yunji Chen (ACM Trans. Design Autom. Electr. Syst., 2015)

FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information. - Shaoli Liu; Tianshi Chen 002; Ling Li 001; Xi Li 003; Mingzhe Zhang; Chao Wang 003; Haibo Meng; Xuehai Zhou; Yunji Chen (IEEE Trans. Parallel Distributed 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)

DianNao family: energy-efficient hardware accelerators for machine learning. - Yunji Chen; Tianshi Chen 002; Zhiwei Xu 002; Ninghui Sun; Olivier Temam (Commun. ACM, 2016)

Geodesic-like features for point matching. - Deheng Qian; Tianshi Chen 002; Hong Qiao (Neurocomputing, 2016)

Iterative Point Matching via multi-direction geometric serialization and reliable correspondence selection. - Deheng Qian; Tianshi Chen 002; Hong Qiao; Tang Tang (Neurocomputing, 2016)

Accelerating Architectural Simulation Via Statistical Techniques: A Survey. - Qi Guo 001; Tianshi Chen 002; Yunji Chen; Franz Franchetti (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

IMR: High-Performance Low-Cost Multi-Ring NoCs. - Shaoli Liu; Tianshi Chen 002; Ling Li 001; Xiaoxue Feng; Zhiwei Xu 002; Haibo Chen 001; Frederic T. Chong; Yunji Chen (IEEE Trans. Parallel Distributed Syst., 2016)

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. - Jinhong Zhou; Shaoli Liu; Qi Guo 001; Xuda Zhou; Tian Zhi; Dao-Fu Liu; Chao Wang 003; Xuehai Zhou; Yunji Chen; Tianshi Chen 002 (CCGrid, 2017)

Stealth-ACK: stealth transmissions of NoC acknowledgements. - Jinhua Tao; Shi Qiu; Shaoli Liu; Tianshi Chen 002; Rui Mao 001 (Sci. China Inf. Sci., 2017)

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)

A survey of neural network accelerators. - Zhen Li; Yuqing Wang; Tian Zhi; Tianshi Chen 002 (Frontiers Comput. Sci., 2017)

DaDianNao: A Neural Network Supercomputer. - Tao Luo; Shaoli Liu; Ling Li 001; Yuqing Wang; Shijin Zhang; Tianshi Chen 002; Zhiwei Xu 002; Olivier Temam; Yunji Chen (IEEE Trans. Computers, 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)

Secure Outsourcing of Virtual Appliance. - Yubin Xia; Yutao Liu; Haibing Guan; Yunji Chen; Tianshi Chen 002; Binyu Zang; Haibo Chen 001 (IEEE Trans. Cloud Comput., 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)

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)

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)

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)

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)

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)

Distilling Object Detectors with Feature Richness. - Zhixing Du; Rui Zhang 040; Ming Chang; Xishan Zhang; Shaoli Liu; Tianshi Chen 002; Yunji Chen (NeurIPS, 2021)

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)

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)

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)

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)

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)

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)

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)

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding. - Huang Lei; Jiaming Guo; Guanhua He; Xishan Zhang; Rui Zhang 040; Shaohui Peng; Shaoli Liu; Tianshi Chen 002 (ACL (1), 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)

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)

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)

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 001; Ling Li 001; Xuehai Zhou; Tianshi Chen 002; Qi Guo 001; et al. (OSDI, 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)

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach. - Shouyang Dong; Yuanbo Wen; Jun Bi; Di Huang; Jiaming Guo; Jianxing Xu; Ruibai Xu; Xinkai Song; Yifan Hao 001; Xuehai Zhou; Tianshi Chen 002; Qi Guo 001; et al. (CoRR, 2025)