Yunji Chen

According to our database, Yunji Chen authored at least 149 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen

CoRR, 2024

Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Models.

Yunpu Zhao, Rui Zhang, Junbin Xiao, Changxin Ke, Ruibo Hou, Yifan Hao, Qi Guo, Yunji Chen

CoRR, 2024

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization.

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

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, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen

CoRR, 2024

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization.

Zhengyue Zhao, Xiaoyun Zhang, Kaidi Xu, Xing Hu, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification.

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

CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.

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

CoRR, 2024

Automated CPU Design by Learning from Input-Output Examples.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prompt-based Visual Alignment for Zero-shot Policy Transfer.

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

Proceedings of the Forty-first International Conference on Machine Learning, 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, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

Proceedings of the Forty-first International Conference on Machine Learning, 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, Yunji Chen, Huimin Cui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Emergent Communication for Numerical Concepts Generalization.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Chip design with machine learning: a survey from algorithm perspective.

Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen

Sci. China Inf. Sci., November, 2023

Learning controllable elements oriented representations for reinforcement learning.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen

Neurocomputing, September, 2023

Rescue to the Curse of universality.

Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen

Sci. China Inf. Sci., September, 2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

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

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, Yang Feng

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

ANPL: Compiling Natural Programs with Interactive Decomposition.

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

CoRR, 2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning.

Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ANPL: Towards Natural Programming with Interactive Decomposition.

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression.

Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar.

Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Shift Reduction for Offline Meta-Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Prototype Alignment for Few-shot Policy Transfer.

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

Proceedings of the International Conference on Machine Learning, 2023

BALTO: fast tensor program optimization with diversity-based active learning.

Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks.

Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Online Symbolic Regression with Informative Query.

Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, Xing Hu, Zidong Du, Qi Guo, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System.

Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2022

Tetris: A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators.

Xiaobing Chen, Hao Qi, Shaohui Peng, Yimin Zhuang, Tian Zhi, Yunji Chen

J. Comput. Sci. Technol., 2022

Object-Category Aware Reinforcement Learning.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerating Sparse Convolution with Column Vector-Wise Sparsity.

Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.

Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BabelTower: Learning to Auto-parallelized Program Translation.

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

Proceedings of the International Conference on Machine Learning, 2022

Neural Program Synthesis with Query.

Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis.

Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen

Int. J. Comput. Vis., 2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.

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

CoRR, 2021

Space-address decoupled scratchpad memory management for neural network accelerators.

Zhenxing Zhang, Shiyan Sun, Xunyu Chen, Tian Zhi, Qi Guo, Yunji Chen

Concurr. Comput. Pract. Exp., 2021

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.

Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distilling Object Detectors with Feature Richness.

Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment.

Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

ParaML: A Polyvalent Multicore Accelerator for Machine Learning.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Machine Learning Computers With Fractal von Neumann Architecture.

Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen

IEEE Trans. Computers, 2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach.

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

IEEE Trans. Computers, 2020

Self-Aware Neural Network Systems: A Survey and New Perspective.

Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu

Proc. IEEE, 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie

CoRR, 2020

ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning.

Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Fixed-Point Back-Propagation Training.

Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.

Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Addressing Sparsity in Deep Neural Networks.

Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures.

Bingsheng He, Yunji Chen, Jingren Zhou

IEEE Trans. Big Data, 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

CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks.

Weicheng Li, Rui Wang, Zhongzhi Luan, Di Huang, Zidong Du, Yunji Chen, Depei Qian

CoRR, 2019

Cambricon-F: machine learning computers with fractal von neumann architecture.

Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen

Proceedings of the 46th International Symposium on Computer Architecture, 2019

TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding.

Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Using Local Clocks to Reproduce Concurrency Bugs.

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

IEEE Trans. Software Eng., 2018

An Instruction Set Architecture for Machine Learning.

Yunji Chen, Huiying Lan, Zidong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tianshi Chen

ACM Trans. Comput. Syst., 2018

BenchIP: Benchmarking Intelligence Processors.

Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Lingjie Xu, Cong Liu, Hai-Feng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen

J. Comput. Sci. Technol., 2018

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach.

Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017

Service-Oriented Architecture on FPGA-Based MPSoC.

Chao Wang, Xi Li, Yunji Chen, Youhui Zhang, Oliver Diessel, Xuehai Zhou

IEEE Trans. Parallel Distributed Syst., 2017

Secure Outsourcing of Virtual Appliance.

Yubin Xia, Yutao Liu, Haibing Guan, Yunji Chen, Tianshi Chen, Binyu Zang, Haibo Chen

IEEE Trans. Cloud Comput., 2017

An Accelerator for High Efficient Vision Processing.

Zidong Du, Shaoli Liu, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yunji Chen, Olivier Temam

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

DaDianNao: A Neural Network Supercomputer.

Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen

IEEE Trans. Computers, 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, Yunji Chen

J. Comput. Sci. Technol., 2017

BENCHIP: Benchmarking Intelligence Processors.

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

CoRR, 2017

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing.

Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

IMR: High-Performance Low-Cost Multi-Ring NoCs.

Shaoli Liu, Tianshi Chen, Ling Li, Xiaoxue Feng, Zhiwei Xu, Haibo Chen, Frederic T. Chong, Yunji Chen

IEEE Trans. Parallel Distributed Syst., 2016

Accelerating Architectural Simulation Via Statistical Techniques: A Survey.

Qi Guo, Tianshi Chen, Yunji Chen, Franz Franchetti

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

A survey of routing algorithm for mesh Network-on-Chip.

Yue Wu, Chao Lu, Yunji Chen

Frontiers Comput. Sci., 2016

DianNao family: energy-efficient hardware accelerators for machine learning.

Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam

Commun. ACM, 2016

Cambricon-X: An accelerator for sparse neural networks.

Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Cambricon: An Instruction Set Architecture for Neural Networks.

Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, Tianshi Chen

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

2015

FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information.

Shaoli Liu, Tianshi Chen, Ling Li, Xi Li, Mingzhe Zhang, Chao Wang, Haibo Meng, Xuehai Zhou, Yunji Chen

IEEE Trans. Parallel Distributed Syst., 2015

Robust Design Space Modeling.

Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen

ACM Trans. Design Autom. Electr. Syst., 2015

A Small-Footprint Accelerator for Large-Scale Neural Networks.

Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, Olivier Temam

ACM Trans. Comput. Syst., 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

Architecture Support for Task Out-of-Order Execution in MPSoCs.

Chao Wang, Xi Li, Junneng Zhang, Peng Chen, Yunji Chen, Xuehai Zhou, Ray C. C. Cheung

IEEE Trans. Computers, 2015

Statistical Performance Comparisons of Computers.

Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, Yunji Chen

IEEE Trans. Computers, 2015

Practical Iterative Optimization for the Data Center.

Shuangde Fang, Wenwen Xu, Yang Chen, Lieven Eeckhout, Olivier Temam, Yunji Chen, Chengyong Wu, Xiaobing Feng

ACM Trans. Archit. Code Optim., 2015

A High-Throughput Neural Network Accelerator.

Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam

IEEE Micro, 2015

Deterministic Replay: A Survey.

Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen

ACM Comput. Surv., 2015

Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches.

Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam

Proceedings of the 48th International Symposium on Microarchitecture, 2015

ShiDianNao: shifting vision processing closer to the sensor.

Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks.

Xiang Yuan, Chenggang Wu, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yong Guan

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Retraining-based timing error mitigation for hardware neural networks.

Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

HERMES: a fast cross-ISA binary translator with post-optimization.

Xiaochun Zhang, Qi Guo, Yunji Chen, Tianshi Chen, Weiwu Hu

Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2015

PuDianNao: A Polyvalent Machine Learning Accelerator.

Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2014

Pre-Silicon Bug Forecast.

Qi Guo, Tianshi Chen, Yunji Chen, Rui Wang, Huanhuan Chen, Weiwu Hu, Guoliang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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, Yunji Chen, Chengyong Wu

ACM Trans. Archit. Code Optim., 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

Prevention from Soft Errors via Architecture Elasticity.

Yi-Xiao Yin, Yunji Chen, Qi Guo, Tianshi Chen

J. Comput. Sci. Technol., 2014

An Elastic Architecture Adaptable to Various Application Scenarios.

Yue Wu, Yunji Chen, Tianshi Chen, Qi Guo, Lei Zhang

J. Comput. Sci. Technol., 2014

A General-Purpose Many-Accelerator Architecture Based on Dataflow Graph Clustering of Applications.

Peng Chen, Lei Zhang, Yinhe Han, Yunji Chen

J. Comput. Sci. Technol., 2014

Auxiliary stream for optimizing memory access of video decoders.

Shaoli Liu, Ling Li, Yunji Chen, Weiwu Hu

Sci. China Inf. Sci., 2014

DaDianNao: A Machine-Learning Supercomputer.

Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

ArchRanker: A ranking approach to design space exploration.

Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Big data genome sequencing on Zynq based clusters (abstract only).

Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Ray C. C. Cheung

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Co-processing with dynamic reconfiguration on heterogeneous MPSoC: practices and design tradeoffs (abstract only).

Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Koen Bertels

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

A low-cost memory interface for high-throughput accelerators.

Jing Huang, Yuanjie Huang, Olivier Temam, Paolo Ienne, Yunji Chen, Chengyong Wu

Proceedings of the 2014 International Conference on Compilers, 2014

DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning.

Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

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

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

Effective and efficient microprocessor design space exploration using unlabeled design configurations.

Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, Zhiwei Xu

ACM Trans. Intell. Syst. Technol., 2013

Motion Estimation Without Integer-Pel Search.

Ling Li, Shaoli Liu, Yunji Chen, Tianshi Chen, Tao Luo

IEEE Trans. Image Process., 2013

LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging.

Yunji Chen, Tianshi Chen, Ling Li, Lei Li, Liang Yang, Menghao Su, Weiwu Hu

IEEE Trans. Computers, 2013

Deterministic Replay Using Global Clock.

Yunji Chen, Tianshi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Weiwu Hu

ACM Trans. Archit. Code Optim., 2013

Microarchitectural design space exploration made fast.

Qi Guo, Tianshi Chen, Yunji Chen, Ling Li, Weiwu Hu

Microprocess. Microsystems, 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, Hongsheng Wang, Zongren Yang, Liqiong Yang, Shuai Chen

Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

Elastic CGRAs.

Yuanjie Huang, Paolo Ienne, Olivier Temam, Yunji Chen, Chengyong Wu

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

2012

Program Regularization in Memory Consistency Verification.

Yunji Chen, Lei Li, Tianshi Chen, Ling Li, Lei Wang, Xiaoxue Feng, Weiwu Hu

IEEE Trans. Parallel Distributed Syst., 2012

Linear Time Memory Consistency Verification.

Weiwu Hu, Yunji Chen, Tianshi Chen, Cheng Qian, Lei Li

IEEE Trans. Computers, 2012

Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network

Shaoli Liu, Yunji Chen, Tianshi Chen, Ling Li, Chao Lu

CoRR, 2012

RepTFD: Replay Based Transient Fault Detection

Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Ruiyang Wu

CoRR, 2012

An Elastic Architecture Adaptable to Millions of Application Scenarios.

Yunji Chen, Tianshi Chen, Qi Guo, Zhiwei Xu, Lei Zhang

Proceedings of the Network and Parallel Computing, 9th IFIP International Conference, 2012

BenchNN: On the broad potential application scope of hardware neural network accelerators.

Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko H. Lipasti, Andrew Nere, Shi Qiu, Michèle Sebag, Olivier Temam

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

Performance Prediction for Reconfigurable Processor.

Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

Statistical performance comparisons of computers.

Tianshi Chen, Yunji Chen, Qi Guo, Olivier Temam, Yue Wu, Weiwu Hu

Proceedings of the 18th IEEE International Symposium on High Performance Computer Architecture, 2012

2011

An FFT Performance Model for Optimizing General-Purpose Processor Architecture.

Ling Li, Yunji Chen, Dao-Fu Liu, Cheng Qian, Weiwu Hu

J. Comput. Sci. Technol., 2011

Efficient Deterministic Replay Using Complete Race Detection

Qi Guo, Yunji Chen, Tianshi Chen, Ling Li

CoRR, 2011

The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization

Tianshi Chen, Yunji Chen, Ke Tang, Guoliang Chen, Xin Yao

CoRR, 2011

Brief announcement: program regularization in verifying memory consistency.

Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Cheng Qian, Weiwu Hu

Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 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

Proceedings of the IEEE International Solid-State Circuits Conference, 2011

Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations.

Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, Zhiwei Xu

Proceedings of the IJCAI 2011, 2011

Video Encoding without Integer-Pel Motion Estimation.

Shaoli Liu, Ling Li, Yunji Chen, Tianshi Chen

Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

Empirical design bugs prediction for verification.

Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Yue Wu, Weiwu Hu

Proceedings of the Design, Automation and Test in Europe, 2011

2010

System Architecture of Godson-3 Multi-Core Processors.

Xiang Gao, Yunji Chen, Huandong Wang, Dan Tang, Weiwu Hu

J. Comput. Sci. Technol., 2010

LReplay: a pending period based deterministic replay scheme.

Yunji Chen, Weiwu Hu, Tianshi Chen, Ruiyang Wu

Proceedings of the 37th International Symposium on Computer Architecture (ISCA 2010), 2010

Estimating design quality of digital systems via machine learning.

Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen

Proceedings of the 17th IEEE International Conference on Electronics, 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

Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

A general method to make multi-clock system deterministic.

Menghao Su, Yunji Chen, Xiang Gao

Proceedings of the Design, Automation and Test in Europe, 2010

On-the-Fly Reduction of Stimuli for Functional Verification.

Qi Guo, Tianshi Chen, Haihua Shen, Yunji Chen, Weiwu Hu

Proceedings of the 19th IEEE Asian Test Symposium, 2010

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

Global Clock, Physical Time Order and Pending Period Analysis in Multiprocessor Systems

Yunji Chen, Tianshi Chen, Weiwu Hu

CoRR, 2009

An Enhanced HyperTransport Controller with Cache Coherence Support for Multiple-CMP.

Huandong Wang, Dan Tang, Xiang Gao, Yunji Chen

Proceedings of the International Conference on Networking, Architecture, and Storage, 2009

Efficiency-Aware QoS DRAM Scheduler.

Menghao Su, Xiang Gao, Yunji Chen, Qi Liu, Longbing Zhang

Proceedings of the International Conference on Networking, Architecture, and Storage, 2009

Designing an Effective Constraint Solver in Coverage Directed Test Generation.

Haihua Shen, Pengyu Wang, Yunji Chen, Qi Guo, Heng Zhang

Proceedings of the International Conference on Embedded Software and Systems, 2009

Fast complete memory consistency verification.

Yunji Chen, Yi Lv, Weiwu Hu, Tianshi Chen, Haihua Shen, Pengyu Wang, Hong Pan

Proceedings of the 15th International Conference on High-Performance Computer Architecture (HPCA-15 2009), 2009

A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programming.

Yunji Chen, Ke Tang, Tianshi Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Testing content addressable memories using instructions and march-like algorithms.

Lin Ma, Yunji Chen, Menghao Su, Zichu Qi, Heng Zhang, Weiwu Hu

Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

Coverage Directed Test Generation: Godson Experience.

Haihua Shen, Wenli Wei, Yunji Chen, Bowen Chen, Qi Guo

Proceedings of the 17th IEEE Asian Test Symposium, 2008

2004

EmGen: An Automatic Test-Program Generation Tool for Embedded IP Cores.

Haihua Shen, Yunji Chen, Jing Huang

Proceedings of the Embedded Software and Systems, First International Conference, 2004