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期刊文章:

[1] Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen: Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System. IEEE Trans. Computers 71(1): 209-222(2022)

[2] Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen: Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 116-128(2022)

[3] Zhenxing Zhang, Shiyan Sun, Xunyu Chen, Tian Zhi, Qi Guo, Yunji Chen: Space-address decoupled scratchpad memory management for neural network accelerators.Concurr. Comput. Pract. Exp. 33(6) (2021)

[4] Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen: A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis. Int. J. Comput. Vis. 129(10): 2806-2826 (2021)

[5] Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu: Self-Aware Neural Network Systems: A Survey and New Perspective. Proc. IEEE 108(7): 1047-1067 (2020)

[6] 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. Computers69(7): 968-985 (2020)

[7] 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): 998-1014 (2020)

[8] 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): 1764-1777(2020)

[9] Yong Yu, Tian Zhi, Xuda Zhou, Shaoli Liu, Yunji Chen, Shuyao Cheng: BSHIFT: A Low Cost Deep Neural Networks Accelerator. Int. J. Parallel Program. 47(3): 360-372 (2019)

[10] Bingsheng He, Yunji Chen, Jingren Zhou: Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5(1): 2-3 (2019)

[11] 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): 1858-1871 (2019)

[12] 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): 9:1-9:35 (2019)

[13] 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): 1-23 (2018)

[14] Zhe Wang, Chenggang Wu, Xiang Yuan, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yuanming Lai, Yong Guan: Using Local Clocks to Reproduce Concurrency Bugs. IEEE Trans. Software Eng. 44(11): 1112-1128 (2018)

[15] Huiying Lan, Linyang Wu, Xiao Zhang, Jinhua Tao, Xunyu Chen, Bingrui Wang, Yu-Qing Wang, Qi Guo, Yunji Chen: DLPlib: A Library for Deep Learning Processor. J. Comput. Sci. Technol. 32(2): 286-296 (2017)

[16] 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): 73-88 (2017)

[17] 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): 227-240 (2017)

[18] 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): 390-404 (2017)

[19] Chao Wang, Xi Li, Yunji Chen, Youhui Zhang, Oliver Diessel, Xuehai Zhou: Service-Oriented Architecture on FPGA-Based MPSoC. IEEE Trans. Parallel Distributed Syst. 28(10): 2993-3006 (2017)

[20] Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam: DianNao family: energy-efficient hardware accelerators for machine learning. Commun. ACM 59(11): 105-112 (2016)

[21] Yue Wu, Chao Lu, Yunji Chen: A survey of routing algorithm for mesh Network-on-Chip. Frontiers Comput. Sci. 10(4): 591-601 (2016)

[22] Babak Falsafi, Mircea Stan, Kevin Skadron, Nuwan Jayasena, Yunji Chen, Jinhua Tao, Ravi Nair, Jaime H. Moreno, Naveen Muralimanohar, Karthikeyan Sankaralingam, Cristian Estan: Near-Memory Data Services. IEEE Micro 36(1): 6-13 (2016)

[23] 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): 433-446 (2016)

[24] 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): 1700-1712 (2016)

[25] Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen: Deterministic Replay: A Survey. ACM Comput. Surv. 48(2): 17:1-17:47(2015)

[26] Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam: A High-Throughput Neural Network Accelerator. IEEE Micro 35(3): 24-32 (2015)

[27] Shuangde Fang, Wenwen Xu, Yang Chen, Lieven Eeckhout, Olivier Temam, Yunji Chen, Chengyong Wu, Xiaobing Feng: Practical Iterative Optimization for the Data Center. ACM Trans. Archit. Code Optim. 12(2): 15:1-15:26 (2015)

[28] Chao Wang, Xi Li, Junneng Zhang, Peng Chen, Yunji Chen, Xuehai Zhou, Ray C. C. Cheung: Architecture Support for Task Out-of-Order Execution in MPSoCs.IEEE Trans. Computers 64(5): 1296-1310 (2015)

[29] Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, Yunji Chen: Statistical Performance Comparisons of Computers. IEEE Trans. Computers 64(5): 1442-1455 (2015)

[30] Zidong Du, Avinash Lingamneni, Yunji Chen, Krishna V. Palem, Olivier Temam, Chengyong Wu: Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(8): 1223-1235 (2015)

[31] 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): 6:1-6:27 (2015)

[32] 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): 18:1-18:22 (2015)

[33] 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): 2272-2285 (2015)

[34] Shaoli Liu, Ling Li, Yunji Chen, Weiwu Hu: Auxiliary stream for optimizing memory access of video decoders.Sci. China Inf. Sci. 57(1): 1-10 (2014)

[35] Yue Wu, Yunji Chen, Tianshi Chen, Qi Guo, Lei Zhang: An Elastic Architecture Adaptable to Various Application Scenarios.J. Comput. Sci. Technol. 29(2): 227-238 (2014)

[36] Peng Chen, Lei Zhang, Yinhe Han, Yunji Chen: A General-Purpose Many-Accelerator Architecture Based on Dataflow Graph Clustering of Applications. J. Comput. Sci. Technol.29(2): 239-246 (2014)

[37] Yi-Xiao Yin, Yunji Chen, Qi Guo, Tianshi Chen: Prevention from Soft Errors via Architecture Elasticity. J. Comput. Sci. Technol. 29(2): 247-254 (2014)

[38] Weiwu Hu, Liang Yang, Bao-Xia Fan, Huandong Wang, Yunji Chen: An 8-Core MIPS-Compatible Processor in 32/28 nm Bulk CMOS. IEEE J. Solid State Circuits 49(1): 41-49 (2014)

[39] Shuangde Fang, Zidong Du, Yuntan Fang, Yuanjie Huang, Yang Chen, Lieven Eeckhout, Olivier Temam, Huawei Li, Yunji Chen, Chengyong Wu: Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach. ACM Trans. Archit. Code Optim.11(2): 21:1-21:25 (2014)

[40] 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): 451-463 (2014)

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會議文章：

[1] Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen: Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. IJCAI 2021: 2476-2482

[2] Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen: Distilling Object Detectors with Feature Richness. NeurIPS 2021: 5213-5224

[3] Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen: ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS 2021: 28169-28181

[4] 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: 4174-4181

[5] Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen: Fixed-Point Back-Propagation Training. CVPR 2020: 2327-2335

[6] Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen: ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. ICCD 2020: 623-630

[7] Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen: TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. AAAI 2019: 1319-1326

[8] 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: 788-801

[9] 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: 15-28

[10] 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: 731-734

[11] 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: 393-405

[12] 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. MICRO2016: 20:1-20:12

[13] 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. ASPLOS2015: 369-381

[14] Xiaochun Zhang, Qi Guo, Yunji Chen, Tianshi Chen, Weiwu Hu: HERMES: a fast cross-ISA binary translator with post-optimization.CGO 2015: 246-256

[15] Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu: Retraining-based timing error mitigation for hardware neural networks. DATE 2015: 593-596

[16] Xiang Yuan, Chenggang Wu, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yong Guan: ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks. ICSE (1)2015: 824-834

[17] 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. ISCA2015: 92-104

[18] 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: 494-507

[19] Zidong Du, Krishna V. Palem, Lingamneni Avinash, Olivier Temam, Yunji Chen, Chengyong Wu: Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. ASP-DAC 2014: 201-206

[20] 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: 269-284

[21] Jing Huang, Yuanjie Huang, Olivier Temam, Paolo Ienne, Yunji Chen, Chengyong Wu: A low-cost memory interface for high-throughput accelerators.CASES 2014: 11:1-11:10

[22] Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Ray C. C. Cheung: Big data genome sequencing on Zynq based clusters (abstract only).FPGA 2014: 247

[23] Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Koen Bertels: Co-processing with dynamic reconfiguration on heterogeneous MPSoC: practices and design tradeoffs (abstract only). FPGA 2014: 248

[24] Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen: ArchRanker: A ranking approach to design space exploration. ISCA2014: 85-96

[25] 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: 609-622

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發表著作：

[1] 計算機體系結構, 清華大學出版社, 2011-06, 第 2 作者

[2] 智能計算系統, AI Computing Systems, 華章出版社, 2020-03, 第 1 作者

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