Xing Hu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 94

Top Topics

Reinforcement Learning

Hybrid Architecture

Top Venues

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

Publications

Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (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)
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)
Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. CoRR (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)
Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen
Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. ISCA (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)
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
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO (2023)
Yimin Zhuang, Xing Hu, Xiaobing Chen, Tian Zhi
DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining. J. Comput. Sci. Technol. 38 (4) (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)
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)
Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhangp Zidong Dup Qi Guo, Xing Hu
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CoRR (2023)
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (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)
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)
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (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)
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)
Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
Online Symbolic Regression with Informative Query. CoRR (2023)
Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen
Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. ASPLOS (3) (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)
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)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS (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)
Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen
Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. MICRO (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)
Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen
Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers. IEEE Trans. Computers 71 (9) (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)
Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. CoRR (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR (2022)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71 (12) (2022)
Ing-Chao Lin, Chi-Huan Tang, Chi-Ting Ni, Xing Hu, Yu-Tong Shen, Pei-Yin Chen, Yuan Xie
A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA (2021)
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
Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA (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)
Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, Yuan Xie
Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (10) (2021)
Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Encrypted Deep Learning Accelerators. DAC (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)
Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (2021)
Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121 (2020)
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
HyGCN: A GCN Accelerator with Hybrid Architecture. HPCA (2020)
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR (2020)
Zizhen Liu, Jing Ye, Xing Hu, Huawei Li, Xiaowei Li, Yu Hu
Sequence Triggered Hardware Trojan in Neural Network Accelerator. VTS (2020)
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO (2020)
Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55 (8) (2020)
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS (2020)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. 17 (4) (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)
Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (1) (2020)
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
HyGCN: A GCN Accelerator with Hybrid Architecture. CoRR (2020)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Secure Deep Learning Accelerators. CoRR (2020)
Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie
CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI (2019)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. EMC2@HPCA/CVPR/ISCA (2019)
Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO (2019)
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR (2019)
Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA (2019)
Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie
MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. MICRO (2019)
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) (2019)
Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie
Memory Trojan Attack on Neural Network Accelerators. DATE (2019)
Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC (2019)
Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie
Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. DATE (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR (2019)
Yu Ji, Zixin Liu, Xing Hu, Peiqi Wang, Youhui Zhang
Programmable Neural Network Trojan for Pre-Trained Feature Extractor. CoRR (2019)
Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED (2019)
Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS (2019)
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR (2019)
Ning Lin, Hang Lu, Xing Hu, Jingliang Gao, Mingzhe Zhang, Xiaowei Li
When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices. ICCD (2019)
Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie
Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. MICRO (2018)
Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO (2018)
Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie
RADAR: a 3D-reRAM based DNA alignment accelerator architecture. DAC (2018)
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
Crossbar-aware neural network pruning. CoRR (2018)
Abanti Basak, Xing Hu, Shuangchen Li, Sang Min Oh, Yuan Xie
Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads. IEEE Comput. Archit. Lett. 17 (2) (2018)
Boyuan Chen, Jian Song, Peng Xu, Xing Hu, Zhen Ming (Jack) Jiang
An automated approach to estimating code coverage measures via execution logs. ASE (2018)
Xing Hu, Dylan C. Stow, Yuan Xie
Die Stacking Is Happening. IEEE Micro 38 (1) (2018)
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Dynamic Sparse Graph for Efficient Deep Learning. CoRR (2018)
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
Crossbar-Aware Neural Network Pruning. IEEE Access 6 (2018)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie
Batch Normalization Sampling. CoRR (2018)
Guoqing Chen, Yi Xu, Xing Hu, Xiangyang Guo, Jun Ma, Yu Hu, Yuan Xie
TSocket: Thermal Sustainable Power Budgeting. ACM Trans. Design Autom. Electr. Syst. 21 (2) (2016)
Xing Hu, Yi Xu, Jun Ma, Guoqing Chen, Yu Hu, Yuan Xie
Thermal-Sustainable Power Budgeting for Dynamic Threading. DAC (2014)
Xing Hu, Yi Xu, Yu Hu, Yuan Xie
SwimmingLane: A composite approach to mitigate voltage droop effects in 3D power delivery network. ASP-DAC (2014)
Xing Hu, Guihai Yan, Yu Hu, Xiaowei Li
Orchestrator: Guarding Against Voltage Emergencies in Multithreaded Applications. IEEE Trans. Very Large Scale Integr. Syst. 22 (12) (2014)
Xing Hu, Guihai Yan, Yu Hu, Xiaowei Li
Orchestrator: a low-cost solution to reduce voltage emergencies for multi-threaded applications. DATE (2013)
Songjun Pan, Yu Hu, Xing Hu, Xiaowei Li
A cost-effective substantial-impact-filter based method to tolerate voltage emergencies. DATE (2011)