Xuehai Qian

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 108

Top Venues

CoRR

ASPLOS

HPCA

ISCA

Publications

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR (2024)
Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu
Guser: A GPGPU Power Stressmark Generator. HPCA (2024)
Jingji Chen, Xuehai Qian
DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition. ASPLOS (1) (2023)
Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR (2023)
Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC (2023)
Chao Wang, Xuehai Qian
RDMA-Enabled Concurrency Control Protocols for Transactions in the Cloud Era. IEEE Trans. Cloud Comput. 11 (1) (2023)
Hongtao Chen, Mingxing Zhang, Ke Yang, Kang Chen, Albert Y. Zomaya, Yongwei Wu, Xuehai Qian
Achieving Sub-second Pairwise Query over Evolving Graphs. ASPLOS (2) (2023)
Jingji Chen, Zhuoming Chen, Xuehai Qian
GNNPipe: Accelerating Distributed Full-Graph GNN Training with Pipelined Model Parallelism. CoRR (2023)
Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen
DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers 72 (3) (2023)
Jingji Chen, Xuehai Qian
Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine. ASPLOS (2) (2023)
Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Le-Le Li, Jiang-Yi Liu, Jianping Fan, Xuehai Qian, Kai Hwang, Yeh-Ching Chung, Zhibin Yu
SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move. J. Comput. Sci. Technol. 37 (6) (2022)
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Xuehai Qian, Lixin Zhang, Dan Meng
HyBP: Hybrid Isolation-Randomization Secure Branch Predictor. HPCA (2022)
Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian
PAN: Pulse Ansatz on NISQ Machines. CoRR (2022)
Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR (2022)
Gengyu Rao, Jingji Chen, Jason Yik, Xuehai Qian
SparseCore: stream ISA and processor specialization for sparse computation. ASPLOS (2022)
Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR (2022)
Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
Variational Quantum Pulse Learning. QCE (2022)
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR (2022)
Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen
ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO (2021)
Youwei Zhuo, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian
Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee. ACM Trans. Comput. Syst. 37 (1-4) (2021)
Jingji Chen, Xuehai Qian
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine. CoRR (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA (2021)
Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR (2021)
Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng
A Lightweight Isolation Mechanism for Secure Branch Predictors. DAC (2021)
Xuehai Qian
Graph processing and machine learning architectures with emerging memory technologies: a survey. Sci. China Inf. Sci. 64 (6) (2021)
Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang
A Fast Lock for Explicit Message Passing Architectures. IEEE Trans. Computers 70 (10) (2021)
Xue Li, Mingxing Zhang, Kang Chen, Yongwei Wu, Xuehai Qian, Weimin Zheng
3-D Partitioning for Large-Scale Graph Processing. IEEE Trans. Computers 70 (1) (2021)
Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA (2021)
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR (2021)
Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan
GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. ISCA (2021)
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. ISCA (2021)
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. CoRR (2021)
Gengyu Rao, Jingji Chen, Xuehai Qian
IntersectX: An Accelerator for Graph Mining. CoRR (2020)
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR (2020)
Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA (2020)
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS (2020)
Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR (2020)
Sheng Xu, Xiaoming Chen, Xuehai Qian, Yinhe Han
TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries. ACM Great Lakes Symposium on VLSI (2020)
Xiebing Wang, Xuehai Qian, Alois C. Knoll, Kai Huang
Efficient Performance Estimation and Work-Group Size Pruning for OpenCL Kernels on GPUs. IEEE Trans. Parallel Distributed Syst. 31 (5) (2020)
Xuan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
Capuchin: Tensor-based GPU Memory Management for Deep Learning. ASPLOS (2020)
Jingji Chen, Xuehai Qian
DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition. CoRR (2020)
Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. CoRR (2020)
Xuehai Qian, Yanzhi Wang, Avinash Karanth
Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators. IEEE Trans. Computers 69 (7) (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR (2020)
You Wu, Xuehai Qian
ReversiSpec: Reversible Coherence Protocol for Defending Transient Attacks. CoRR (2020)
Hao Yan, Hebin R. Cherian, Ethan C. Ahn, Xuehai Qian, Lide Duan
iCELIA: A Full-Stack Framework for STT-MRAM-Based Deep Learning Acceleration. IEEE Trans. Parallel Distributed Syst. 31 (2) (2020)
Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng
A Lightweight Isolation Mechanism for Secure Branch Predictors. CoRR (2020)
Teng Ma, Mingxing Zhang, Kang Chen, Zhuo Song, Yongwei Wu, Xuehai Qian
AsymNVM: An Efficient Framework for Implementing Persistent Data Structures on Asymmetric NVM Architecture. ASPLOS (2020)
Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian
Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training. ASPLOS (2020)
Chao Wang, Kezhao Huang, Xuehai Qian
A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols. CoRR (2020)
Xingbin Wang, Rui Hou, Boyan Zhao, Fengkai Yuan, Jun Zhang, Dan Meng, Xuehai Qian
DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks. ASPLOS (2020)
Jinglei Cheng, Haoqing Deng, Xuehai Qian
AccQOC: Accelerating Quantum Optimal Control Based Pulse Generation. ISCA (2020)
Youwei Zhuo, Jingji Chen, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian
SympleGraph: distributed graph processing with precise loop-carried dependency guarantee. PLDI (2020)
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR (2019)
Xiongchao Tang, Jidong Zhai, Xuehai Qian, Wenguang Chen
pLock: A Fast Lock for Architectures with Explicit Inter-core Message Passing. ASPLOS (2019)
Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (8) (2019)
Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan
TIE: energy-efficient tensor train-based inference engine for deep neural network. ISCA (2019)
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA (2019)
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR (2019)
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA (2019)
Xiebing Wang, Kai Huang, Alois C. Knoll, Xuehai Qian
A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation. HPCA (2019)
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
Non-structured DNN Weight Pruning Considered Harmful. CoRR (2019)
Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian
GraphQ: Scalable PIM-Based Graph Processing. MICRO (2019)
Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xuehai Qian, Xiaowei Li
PIMSim: A Flexible and Detailed Processing-in-Memory Simulator. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian
TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. ISCA (2019)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS (2019)
Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen
ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. 1 (3-4) (2019)
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA (2019)
Yimin Jiang, Yong Cui, Wenfei Wu, Zhe Xu, Jiahan Gu, K. K. Ramakrishnan, Yongchao He, Xuehai Qian
SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation. ICDCS (2019)
Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian
Heterogeneity-Aware Asynchronous Decentralized Training. CoRR (2019)
Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian
Hop: Heterogeneity-Aware Decentralized Training. CoRR (2019)
Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian
Hop: Heterogeneity-aware Decentralized Training. ASPLOS (2019)
Zhiyuan Ai, Mingxing Zhang, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng
Clip: A Disk I/O Focused Parallel Out-of-Core Graph Processing System. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR (2018)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS (2018)
Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen
vSensor: leveraging fixed-workload snippets of programs for performance variance detection. PPOPP (2018)
Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
ReRAM-based accelerator for deep learning. DATE (2018)
Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. MICRO (2018)
Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian
CounterMiner: Mining Big Performance Data from Hardware Counters. MICRO (2018)
Zhibin Yu, Zhendong Bei, Xuehai Qian
Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. ASPLOS (2018)
Teng Ma, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu
An Efficient Framework for Implementing Persist Data Structures on Remote NVM. CoRR (2018)
Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI (2018)
Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR (2018)
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR (2018)
Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen
Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System. ASPLOS (2018)
Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen
GraphR: Accelerating Graph Processing Using ReRAM. HPCA (2018)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR (2018)
Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian
CSE: Parallel Finite State Machines with Convergence Set Enumeration. MICRO (2018)
Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen
Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. ASP-DAC (2018)
Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren
DudeTx: Durable Transactions Made Decoupled. ACM Trans. Storage 14 (1) (2018)
Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian
GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition. HPCA (2018)
Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram
G-TSC: Timestamp Based Coherence for GPUs. HPCA (2018)
Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren
DudeTM: Building Durable Transactions with Decoupling for Persistent Memory. ASPLOS (2017)
Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO (2017)
Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
GraphR: Accelerating Graph Processing Using ReRAM. CoRR (2017)
Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xuehai Qian