Qi Guo

According to our database, Qi Guo authored at least 87 papers between 2008 and 2024.

Collaborative distances:

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

2024

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

2023

Hardware Acceleration for SLAM in Mobile Systems.

Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du

J. Comput. Sci. Technol., December, 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

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

CoRR, 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

CoRR, 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

CoRR, 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

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

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.

Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo

CoRR, 2023

Online Symbolic Regression with Informative Query.

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

CoRR, 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

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 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

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators.

Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 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

Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers.

Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen

IEEE Trans. Computers, 2022

A Systematic View of Model Leakage Risks in Deep Neural Network Systems.

Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie

IEEE Trans. Computers, 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

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen

CoRR, 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

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

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing.

Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 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

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

Cambricon-Q: A Hybrid Architecture for Efficient Training.

Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 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

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

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

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

Automating Characterization Deployment in Distributed Data Stream Management Systems.

Chunkai Wang, Xiaofeng Meng, Qi Guo, Zujian Weng, Chen Yang

IEEE Trans. Knowl. Data Eng., 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

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

AdaStorm: Resource Efficient Storm with Adaptive Configuration.

Zujian Weng, Qi Guo, Chunkai Wang, Xiaofeng Meng, Bingsheng He

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Revisiting performance in big data systems: an resource decoupling approach.

Chen Yang, Qi Guo, Xiaofeng Meng, Rihui Xin, Chunkai Wang

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 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

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

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

OrientStream: A Framework for Dynamic Resource Allocation in Distributed Data Stream Management Systems.

Chunkai Wang, Xiaofeng Meng, Qi Guo, Zujian Weng, Chen Yang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

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

Statistical Performance Comparisons of Computers.

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

IEEE Trans. Computers, 2015

Deterministic Replay: A Survey.

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

ACM Comput. Surv., 2015

Enabling portable energy efficiency with memory accelerated library.

Qi Guo, Tze Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry T. Pileggi, James C. Hoe, Franz Franchetti

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Optimizing Space Time Adaptive Processing through accelerating memory-bounded operations.

Tze Meng Low, Qi Guo, Franz Franchetti

Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Metis: a smart memory allocator using historical reclamation information.

Shijie Xu, Qi Guo, Gerhard W. Dueck, David Bremner, Yang Wang

Proceedings of the 10th Workshop on Implementation, 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

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

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

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

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

Microarchitectural design space exploration made fast.

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

Microprocess. Microsystems, 2013

Breaking the boundary for whole-system performance optimization of big data.

Yan Li, Kun Wang, Qi Guo, Xin Li, Xiaochen Zhang, Guancheng Chen, Tao Liu, Jian Li

Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013

VBIW: Optimizing Indirect Branch in Dynamic Binary Translation.

Xiaochun Zhang, Xiang Gao, Qi Guo, Jing Huang, Hongwei Liu, Xiaofu Meng

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Correlation-based performance analysis for full-system MapReduce optimization.

Qi Guo, Yan Li, Tao Liu, Kun Wang, Guancheng Chen, Xiaoming Bao, Wentao Tang

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

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

Efficient Deterministic Replay Using Complete Race Detection

Qi Guo, Yunji Chen, Tianshi Chen, Ling Li

CoRR, 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

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

Design of Low-Cost High-Performance Floating-Point Fused Multiply-Add with Reduced Power.

Zichu Qi, Qi Guo, Ge Zhang, Xiangku Li, Weiwu Hu

Proceedings of the VLSI Design 2010: 23rd International Conference on VLSI Design, 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

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

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

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