EmGen: An Automatic Test-Program Generation Tool for Embedded IP Cores. - Haihua Shen; Yunji Chen; Jing Huang (ICESS, 2004)

Coverage Directed Test Generation: Godson Experience. - Haihua Shen; Wenli Wei; Yunji Chen; Bowen Chen; Qi Guo 001 (ATS, 2008)

Testing content addressable memories using instructions and march-like algorithms. - Lin Ma; Yunji Chen; Menghao Su; Zichu Qi; Heng Zhang; Weiwu Hu (ICECS, 2008)

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)

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

Designing an Effective Constraint Solver in Coverage Directed Test Generation. - Haihua Shen; Pengyu Wang; Yunji Chen; Qi Guo 001; Heng Zhang (ICESS, 2009)

Efficiency-Aware QoS DRAM Scheduler. - Menghao Su; Xiang Gao; Yunji Chen; Qi Liu; Longbing Zhang (NAS, 2009)

An Enhanced HyperTransport Controller with Cache Coherence Support for Multiple-CMP. - Huandong Wang; Dan Tang; Xiang Gao; Yunji Chen (NAS, 2009)

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

Godson-3: A Scalable Multicore RISC Processor with x86 Emulation. - Weiwu Hu; Jian Wang; Xiang Gao; Yunji Chen; Qi Liu; Guojie Li (IEEE Micro, 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)

A general method to make multi-clock system deterministic. - Menghao Su; Yunji Chen; Xiang Gao (DATE, 2010)

A multi-FPGA based platform for emulating a 100m-transistor-scale processor with high-speed peripherals (abstract only). - Huandong Wang; Xiang Gao; Yunji Chen; Dan Tang; Weiwu Hu (FPGA, 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)

System Architecture of Godson-3 Multi-Core Processors. - Xiang Gao; Yunji Chen; Huandong Wang; Dan Tang; Weiwu Hu (J. Comput. Sci. Technol., 2010)

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)

Godson-3B: A 1GHz 40W 8-core 128GFLOPS processor in 65nm CMOS. - Weiwu Hu; Ru Wang; Yunji Chen; Bao-Xia Fan; Shi-Qiang Zhong; Xiang Gao; Zichu Qi; Xu Yang (ISSCC, 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)

An FFT Performance Model for Optimizing General-Purpose Processor Architecture. - Ling Li 001; Yunji Chen; Dao-Fu Liu; Cheng Qian; Weiwu Hu (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)

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)

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

Elastic CGRAs. - Yuanjie Huang; Paolo Ienne; Olivier Temam; Yunji Chen; Chengyong Wu (FPGA, 2013)

Godson-3B1500: A 32nm 1.35GHz 40W 172.8GFLOPS 8-core processor. - Weiwu Hu; Yifu Zhang; Liang Yang; Bao-Xia Fan; Yunji Chen; Shi-Qiang Zhong; Huandong Wang; Zichu Qi; Pengyu Wang; Xiang Gao; Xu Yang; Bin Xiao 006; et al. (ISSCC, 2013)

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)

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)

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)

A low-cost memory interface for high-throughput accelerators. - Jing Huang; Yuanjie Huang; Olivier Temam; Paolo Ienne; Yunji Chen; Chengyong Wu (CASES, 2014)

Co-processing with dynamic reconfiguration on heterogeneous MPSoC: practices and design tradeoffs (abstract only). - Chao Wang 003; Xi Li 003; Xuehai Zhou; Yunji Chen; Koen Bertels (FPGA, 2014)

Big data genome sequencing on Zynq based clusters (abstract only). - Chao Wang 003; Xi Li 003; Xuehai Zhou; Yunji Chen; Ray C. C. Cheung (FPGA, 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)

Auxiliary stream for optimizing memory access of video decoders. - Shaoli Liu; Ling Li 001; Yunji Chen; Weiwu Hu (Sci. China Inf. Sci., 2014)

A General-Purpose Many-Accelerator Architecture Based on Dataflow Graph Clustering of Applications. - Peng Chen 004; Lei Zhang 008; Yinhe Han 001; Yunji Chen (J. Comput. Sci. Technol., 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)

An 8-Core MIPS-Compatible Processor in 32/28 nm Bulk CMOS. - Weiwu Hu; Liang Yang; Bao-Xia Fan; Huandong Wang; Yunji Chen (IEEE J. Solid State Circuits, 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)

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)

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)

ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks. - Xiang Yuan; Chenggang Wu 002; Zhenjiang Wang; Jianjun Li; Pen-Chung Yew; Jeff Huang 001; Xiaobing Feng 002; Yanyan Lan; Yunji Chen; Yong Guan (ICSE (1), 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)

Practical Iterative Optimization for the Data Center. - Shuangde Fang; Wenwen Xu; Yang Chen; Lieven Eeckhout; Olivier Temam; Yunji Chen; Chengyong Wu; Xiaobing Feng 002 (ACM Trans. Archit. Code Optim., 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)

Architecture Support for Task Out-of-Order Execution in MPSoCs. - Chao Wang 003; Xi Li 003; Junneng Zhang; Peng Chen 004; Yunji Chen; Xuehai Zhou; Ray C. C. Cheung (IEEE Trans. Computers, 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)

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)

A survey of routing algorithm for mesh Network-on-Chip. - Yue Wu; Chao Lu; Yunji Chen (Frontiers Comput. Sci., 2016)

Near-Memory Data Services. - Babak Falsafi; Mircea Stan; Kevin Skadron; Nuwan Jayasena; Yunji Chen; Jinhua Tao; Ravi Nair; Jaime H. Moreno; Naveen Muralimanohar; Karthikeyan Sankaralingam; Cristian Estan (IEEE Micro, 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)

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)

DLPlib: A Library for Deep Learning Processor. - Huiying Lan; Linyang Wu; Xiao Zhang; Jinhua Tao; Xunyu Chen; Bingrui Wang; Yu-Qing Wang; Qi Guo 001; Yunji Chen (J. Comput. Sci. Technol., 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)

Service-Oriented Architecture on FPGA-Based MPSoC. - Chao Wang 003; Xi Li 003; Yunji Chen; Youhui Zhang; Oliver Diessel; Xuehai Zhou (IEEE Trans. Parallel Distributed 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)

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)

Using Local Clocks to Reproduce Concurrency Bugs. - Zhe Wang 017; Chenggang Wu 002; Xiang Yuan; Zhenjiang Wang; Jianjun Li; Pen-Chung Yew; Jeff Huang 001; Xiaobing Feng 002; Yanyan Lan; Yunji Chen; Yuanming Lai; Yong Guan (IEEE Trans. Software Eng., 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)

BSHIFT: A Low Cost Deep Neural Networks Accelerator. - Yong Yu; Tian Zhi; Xuda Zhou; Shaoli Liu; Yunji Chen; Shuyao Cheng (Int. J. Parallel Program., 2019)

Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. - Bingsheng He; Yunji Chen; Jingren Zhou 001 (IEEE Trans. Big Data, 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)

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)

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

Space-address decoupled scratchpad memory management for neural network accelerators. - Zhenxing Zhang; Shiyan Sun; Xunyu Chen; Tian Zhi; Qi Guo 001; Yunji Chen (Concurr. Comput. Pract. Exp., 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)

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis. - Di Huang; Rui Zhang 040; Xishan Zhang; Fan Wu; Xianzhuo Wang; Pengwei Jin; Shaoli Liu; Ling Li 001; Yunji Chen (Int. J. Comput. Vis., 2021)

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)

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)

Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. - Xiaobing Chen; Hao Qi 004; Shaohui Peng; Yimin Zhuang; Tian Zhi; Yunji Chen (J. Comput. Sci. Technol., 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)

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)

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)

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)

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)

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. - Shangtong Gui; Chenze Shao; Zhengrui Ma; Xishan Zhang; Yunji Chen; Yang Feng 004 (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)

Learning Domain-Aware Detection Head with Prompt Tuning. - Haochen Li 002; Rui Zhang 040; Hantao Yao; Xinkai Song; Yifan Hao 001; Yongwei Zhao; Ling Li 001; Yunji Chen (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)

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)

BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. - Shaolei Zhang; Qingkai Fang; Zhuocheng Zhang; Zhengrui Ma; Yan Zhou; Langlin Huang; Mengyu Bu; Shangtong Gui; Yunji Chen; Xilin Chen 001; Yang Feng 004 (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)

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)

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. - Fan Wu; Rui Zhang 040; Qi Yi; Yunkai Gao 001; Jiaming Guo; Shaohui Peng; Siming Lan; Husheng Han; Yansong Pan; Kaizhao Yuan; Pengwei Jin; Ruizhi Chen; et al. (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)

Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly. - Shuoming Zhang; Jiacheng Zhao; Chunwei Xia; Zheng Wang 001; Yunji Chen; Huimin Cui (EMNLP (Findings), 2024)

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models. - Huilai Chen; Yuanbo Wen; Limin Cheng; Shouxu Kuang; Yumeng Liu; Weijia Li; Ling Li 001; Rui Zhang 040; Xinkai Song; Wei Li 008; Qi Guo 001; Yunji Chen (ICML, 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)

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection. - Haochen Li 002; Rui Zhang 040; Hantao Yao; Xin Zhang 062; Yifan Hao 001; Xinkai Song; Xiaqing Li; Yongwei Zhao; Yunji Chen; Ling Li 001 (NeurIPS, 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)

Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Models. - Yunpu Zhao; Rui Zhang 040; Junbin Xiao; Changxin Ke; Ruibo Hou; Yifan Hao 001; Qi Guo 001; Yunji Chen (CoRR, 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)

QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models. - Qirui Zhou; Yuanbo Wen; Ruizhi Chen; Ke Gao; Weiqiang Xiong; Ling Li 001; Qi Guo 001; Yanjun Wu; Yunji Chen (AAAI, 2025)

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm. - Qirui Zhou; Shaohui Peng; Weiqiang Xiong; Haixin Chen; Yuanbo Wen; Haochen Li 002; Ling Li 001; Qi Guo 001; Yongwei Zhao; Ke Gao; Ruizhi Chen; Yanjun Wu; et al. (ACL (Findings), 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)

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)

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation. - Yunpu Zhao; Rui Zhang 040; Junbin Xiao; Ruibo Hou; Jiaming Guo; Zihao Zhang; Yifan Hao 001; Yunji Chen (CoRR, 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)

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)

QiMeng-TensorOp: Automatically Generating High-Performance Tensor Operators with Hardware Primitives. - Xuzhi Zhang; Shaohui Peng; Qirui Zhou; Yuanbo Wen; Qi Guo 001; Ruizhi Chen; Xinguo Zhu; Weiqiang Xiong; Haixin Chen; Congying Ma; Ke Gao; Chen Zhao; et al. (CoRR, 2025)

LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability. - Shuoming Zhang; Jiacheng Zhao; Chunwei Xia; Zheng Wang 001; Yunji Chen; Xiaobing Feng 002; Huimin Cui (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)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; 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)

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation. - Changxin Ke; Rui Zhang 040; Shuo Wang; Li Ding; Guangli Li; Yuanbo Wen; Shuoming Zhang; Ruiyuan Xu; Jin Qin; Jiaming Guo; Chenxi Wang; Ling Li 001; et al. (CoRR, 2025)

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm. - Qirui Zhou; Shaohui Peng; Weiqiang Xiong; Haixin Chen; Yuanbo Wen; Haochen Li 002; Ling Li 001; Qi Guo 001; Yongwei Zhao; Ke Gao; Ruizhi Chen; Yanjun Wu; et al. (CoRR, 2025)