Yunji Chen

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 92

Top Venues

CoRR

NeurIPS

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

AAAI

Publications

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen
Assessing and Understanding Creativity in Large Language Models. CoRR (2024)
Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Prompt-based Visual Alignment for Zero-shot Policy Transfer. CoRR (2024)
Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. CoRR (2024)
Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Numerical Concepts Generalization. AAAI (2024)
Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR (2024)
Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. AAAI (2024)
Zhengyue Zhao, Xiaoyun Zhang, Kaidi Xu, Xing Hu, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization. CoRR (2024)
Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. AAAI (2024)
Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Ziyuan Nan, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization. CoRR (2024)
Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. NeurIPS (2023)
Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. CoRR (2023)
Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
ANPL: Compiling Natural Programs with Interactive Decomposition. CoRR (2023)
Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, Yang Feng
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. CoRR (2023)
Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. CoRR (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen
Learning controllable elements oriented representations for reinforcement learning. Neurocomputing 549 (2023)
Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. CoRR (2023)
Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR (2023)
Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen
Rescue to the Curse of universality. Sci. China Inf. Sci. 66 (9) (2023)
Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Conceptual Reinforcement Learning for Language-Conditioned Tasks. AAAI (2023)
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Rules Reasoning. NeurIPS (2023)
Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen
BALTO: fast tensor program optimization with diversity-based active learning. ICLR (2023)
Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen
Chip design with machine learning: a survey from algorithm perspective. Sci. China Inf. Sci. 66 (11) (2023)
Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
ANPL: Towards Natural Programming with Interactive Decomposition. NeurIPS (2023)
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. CoRR (2023)
Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. NeurIPS (2023)
Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Context Shift Reduction for Offline Meta-Reinforcement Learning. CoRR (2023)
Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
Context Shift Reduction for Offline Meta-Reinforcement Learning. NeurIPS (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)
Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
Online Symbolic Regression with Informative Query. AAAI (2023)
Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. NeurIPS (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Online Prototype Alignment for Few-shot Policy Transfer. CoRR (2023)
Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen
Learning Domain-Aware Detection Head with Prompt Tuning. CoRR (2023)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Online Prototype Alignment for Few-shot Policy Transfer. ICML (2023)
Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. NeurIPS (2023)
Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
Online Symbolic Regression with Informative Query. CoRR (2023)
Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen
Learning Domain-Aware Detection Head with Prompt Tuning. NeurIPS (2023)
Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. CoRR (2023)
Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Conceptual Reinforcement Learning for Language-Conditioned Tasks. CoRR (2023)
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Emergent Communication for Rules Reasoning. CoRR (2023)
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) (2022)
Xiaobing Chen, Hao Qi, Shaohui Peng, Yimin Zhuang, Tian Zhi, Yunji Chen
Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators. J. Comput. Sci. Technol. 37 (6) (2022)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Object-Category Aware Reinforcement Learning. CoRR (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR (2022)
Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
Neural Program Synthesis with Query. CoRR (2022)
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) (2022)
Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
Object-Category Aware Reinforcement Learning. NeurIPS (2022)
Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao
Accelerating Sparse Convolution with Column Vector-Wise Sparsity. NeurIPS (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS (2022)
Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen
BabelTower: Learning to Auto-parallelized Program Translation. ICML (2022)
Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
Neural Program Synthesis with Query. ICLR (2022)
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. CoRR (2021)
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)
Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen
Distilling Object Detectors with Feature Richness. CoRR (2021)
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) (2021)
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)
Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen
Distilling Object Detectors with Feature Richness. NeurIPS (2021)
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)
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. CoRR (2021)
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. CoRR (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)
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) (2020)
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)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR (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)
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)
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)
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)
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)
Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks. CoRR (2019)
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) (2019)
Bingsheng He, Yunji Chen, Jingren Zhou
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5 (1) (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)
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) (2018)
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)
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)
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) (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)
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) (2017)
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)
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) (2016)
Yue Wu, Chao Lu, Yunji Chen
A survey of routing algorithm for mesh Network-on-Chip. Frontiers Comput. Sci. 10 (4) (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)
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) (2015)
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)
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)
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)
Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen
Deterministic Replay: A Survey. ACM Comput. Surv. 48 (2) (2015)

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Yunji Chen