Xuehai Qian - RankMe

132 papers A* 51A 4B 2C 2Misc 1Journal 62Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advanced Parallel Processing Technologies - 16th International Symposium, APPT 2025, Athens, Greece, July 13-16, 2025, Proceedings APPT Chao Li, Xuehai Qian, Dimitris Gizopoulos, Boris Grot
2026	J	`jnl`	FIITED: Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. IEEE Trans. Computers Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2026	J	`jnl`	SRT: Accelerating Reinforcement Learning via Speculative Rollout with Tree-Structured Cache. CoRR Chi-Chih Chang, Siqi Zhu, Zhichen Zeng, Haibin Lin, Jiaxuan You, Mohamed S. Abdelfattah, Ziheng Jiang, Xuehai Qian
2025	J	`jnl`	Brand: Managing Training Data with Batched Random Access. CoRR Yuhao Li, Xuanhua Shi, Yunfei Zhao, Yongluan Zhou, Yusheng Hua, Xuehai Qian
2025	J	`jnl`	CFP: Low-overhead Profiling-based Intra-operator Parallelism Generation by Preserving Communication-Free Structures. CoRR Weifang Hu, Xuanhua Shi, Chang Wu, Yunkai Zhang, Xuan Peng, Jiaqi Zhai, Hai Jin, Yongluan Zhou, Xuehai Qian
2025	J	`jnl`	DawnPiper: A Memory-scablable Pipeline Parallel Training Framework. CoRR Xuan Peng, Xuanhua Shi, Haolin Zhang, Yunfei Zhao, Xuehai Qian
2025	J	`jnl`	GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping. CoRR Yikang Yue, Yishu Yin, Xuehai Qian
2025	J	`jnl`	Low-Overhead Reversible Coherence Protocol. IEEE Trans. Dependable Secur. Comput. You Wu, Xuehai Qian
2025	J	`jnl`	Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality. CoRR Sirui Chen, Jingji Chen, Siqi Zhu, Ziheng Jiang, Yanghua Peng, Xuehai Qian
2025	A*	`conf`	Mithril: A Scalable System for Deep GNN Training. HPCA Jingji Chen, Zhuoming Chen, Xuehai Qian
2025	—	`conf`	Swift: Fast Performance Tuning with GAN-Generated Configurations. USENIX ATC Chao Chen, Shixin Huang, Xuehai Qian, Zhibin Yu
2024	J	`jnl`	Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof. IEEE Trans. Computers Yongkui Yang, Zhenyan Lu, Jingwei Zeng, Xingguo Liu, Xuehai Qian, Zhibin Yu
2024	J	`jnl`	Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2024	A*	`conf`	Guser: A GPGPU Power Stressmark Generator. HPCA Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu
2024	J	`jnl`	NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi
2023	—	`conf`	Achieving Sub-second Pairwise Query over Evolving Graphs. ASPLOS (2) Hongtao Chen, Mingxing Zhang, Ke Yang, Kang Chen, Albert Y. Zomaya, Yongwei Wu, Xuehai Qian
2023	—	`conf`	DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition. ASPLOS (1) Jingji Chen, Xuehai Qian
2023	J	`jnl`	DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen
2023	J	`jnl`	GNNPipe: Accelerating Distributed Full-Graph GNN Training with Pipelined Model Parallelism. CoRR Jingji Chen, Zhuoming Chen, Xuehai Qian
2023	A*	`conf`	Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
2023	—	`conf`	Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine. ASPLOS (2) Jingji Chen, Xuehai Qian
2023	J	`jnl`	RDMA-Enabled Concurrency Control Protocols for Transactions in the Cloud Era. IEEE Trans. Cloud Comput. Chao Wang, Xuehai Qian
2023	J	`jnl`	RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR 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
2022	J	`jnl`	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. Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2022	A*	`conf`	HyBP: Hybrid Isolation-Randomization Secure Branch Predictor. HPCA Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Xuehai Qian, Lixin Zhang, Dan Meng
2022	J	`jnl`	Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
2022	J	`jnl`	Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 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
2022	J	`jnl`	PAN: Pulse Ansatz on NISQ Machines. CoRR Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian
2022	J	`jnl`	QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR 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
2022	J	`jnl`	SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move. J. Comput. Sci. Technol. Le-Le Li, Jiang-Yi Liu, Jianping Fan, Xuehai Qian, Kai Hwang, Yeh-Ching Chung, Zhibin Yu
2022	A*	`conf`	SparseCore: stream ISA and processor specialization for sparse computation. ASPLOS Gengyu Rao, Jingji Chen, Jason Yik, Xuehai Qian
2022	J	`jnl`	TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian
2022	Misc	`conf`	Variational Quantum Pulse Learning. QCE 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
2021	J	`jnl`	3-D Partitioning for Large-Scale Graph Processing. IEEE Trans. Computers Xue Li, Mingxing Zhang, Kang Chen, Yongwei Wu, Xuehai Qian, Weimin Zheng
2021	J	`jnl`	A Fast Lock for Explicit Message Passing Architectures. IEEE Trans. Computers Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang
2021	A*	`conf`	A Lightweight Isolation Mechanism for Secure Branch Predictors. DAC Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng
2021	A*	`conf`	ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen
2021	A*	`conf`	FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
2021	J	`jnl`	FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
2021	J	`jnl`	GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2021	A*	`conf`	GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator. ISCA Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan
2021	J	`jnl`	Graph processing and machine learning architectures with emerging memory technologies: a survey. Sci. China Inf. Sci. Xuehai Qian
2021	A*	`conf`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. ISCA Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021	J	`jnl`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. CoRR Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021	J	`jnl`	Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine. CoRR Jingji Chen, Xuehai Qian
2021	A*	`conf`	Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
2020	J	`jnl`	A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols. CoRR Chao Wang, Kezhao Huang, Xuehai Qian
2020	J	`jnl`	A Lightweight Isolation Mechanism for Secure Branch Predictors. CoRR Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng
2020	A*	`conf`	AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2020	A*	`conf`	AccQOC: Accelerating Quantum Optimal Control Based Pulse Generation. ISCA Jinglei Cheng, Haoqing Deng, Xuehai Qian
2020	A*	`conf`	AsymNVM: An Efficient Framework for Implementing Persistent Data Structures on Asymmetric NVM Architecture. ASPLOS Teng Ma, Mingxing Zhang, Kang Chen, Zhuo Song, Yongwei Wu, Xuehai Qian
2020	A*	`conf`	Capuchin: Tensor-based GPU Memory Management for Deep Learning. ASPLOS Xuan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
2020	A*	`conf`	DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks. ASPLOS Xingbin Wang, Rui Hou, Boyan Zhao, Fengkai Yuan, Jun Zhang, Dan Meng, Xuehai Qian
2020	J	`jnl`	DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition. CoRR Jingji Chen, Xuehai Qian
2020	J	`jnl`	Efficient Performance Estimation and Work-Group Size Pruning for OpenCL Kernels on GPUs. IEEE Trans. Parallel Distributed Syst. Xiebing Wang, Xuehai Qian, Alois C. Knoll, Kai Huang
2020	J	`jnl`	Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators. IEEE Trans. Computers Xuehai Qian, Yanzhi Wang, Avinash Karanth
2020	J	`jnl`	IntersectX: An Accelerator for Graph Mining. CoRR Gengyu Rao, Jingji Chen, Xuehai Qian
2020	J	`jnl`	Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
2020	J	`jnl`	Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
2020	J	`jnl`	PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. CoRR Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
2020	A*	`conf`	PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020	J	`jnl`	PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020	A*	`conf`	Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training. ASPLOS Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian
2020	J	`jnl`	ReversiSpec: Reversible Coherence Protocol for Defending Transient Attacks. CoRR You Wu, Xuehai Qian
2020	A*	`conf`	SympleGraph: distributed graph processing with precise loop-carried dependency guarantee. PLDI Youwei Zhuo, Jingji Chen, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian
2020	—	`conf`	TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries. ACM Great Lakes Symposium on VLSI Sheng Xu, Xiaoming Chen, Xuehai Qian, Yinhe Han
2020	J	`jnl`	iCELIA: A Full-Stack Framework for STT-MRAM-Based Deep Learning Acceleration. IEEE Trans. Parallel Distributed Syst. Hao Yan, Hebin R. Cherian, Ethan C. Ahn, Xuehai Qian, Lide Duan
2019	A*	`conf`	A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation. HPCA Xiebing Wang, Kai Huang, Alois C. Knoll, Xuehai Qian
2019	J	`jnl`	A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
2019	A*	`conf`	A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang
2019	A*	`conf`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2019	J	`jnl`	Clip: A Disk I/O Focused Parallel Out-of-Core Graph Processing System. IEEE Trans. Parallel Distributed Syst. Zhiyuan Ai, Mingxing Zhang, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng
2019	J	`jnl`	Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee. ACM Trans. Comput. Syst. Youwei Zhuo, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian
2019	A*	`conf`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2019	A*	`conf`	GraphQ: Scalable PIM-Based Graph Processing. MICRO Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian
2019	J	`jnl`	HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
2019	J	`jnl`	Heterogeneity-Aware Asynchronous Decentralized Training. CoRR Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian
2019	J	`jnl`	Hop: Heterogeneity-Aware Decentralized Training. CoRR Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian
2019	A*	`conf`	Hop: Heterogeneity-aware Decentralized Training. ASPLOS Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian
2019	A*	`conf`	HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. HPCA Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2019	J	`jnl`	HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. CoRR Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR 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
2019	J	`jnl`	PIMSim: A Flexible and Detailed Processing-in-Memory Simulator. IEEE Comput. Archit. Lett. Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xuehai Qian, Xiaowei Li
2019	J	`jnl`	ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen
2019	A	`conf`	SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation. ICDCS Yimin Jiang, Yong Cui, Wenfei Wu, Zhe Xu, Jiahan Gu, K. K. Ramakrishnan, Yongchao He, Xuehai Qian
2019	A*	`conf`	TIE: energy-efficient tensor train-based inference engine for deep neural network. ISCA Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan
2019	A*	`conf`	TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. ISCA Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian
2019	A*	`conf`	pLock: A Fast Lock for Architectures with Explicit Inter-core Message Passing. ASPLOS Xiongchao Tang, Jidong Zhai, Xuehai Qian, Wenguang Chen
2018	J	`jnl`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2018	J	`jnl`	An Efficient Framework for Implementing Persist Data Structures on Remote NVM. CoRR Teng Ma, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu
2018	A*	`conf`	CSE: Parallel Finite State Machines with Convergence Set Enumeration. MICRO Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian
2018	A*	`conf`	CounterMiner: Mining Big Performance Data from Hardware Counters. MICRO Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian
2018	A*	`conf`	Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. ASPLOS Zhibin Yu, Zhendong Bei, Xuehai Qian
2018	J	`jnl`	DudeTx: Durable Transactions Made Decoupled. ACM Trans. Storage Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren
2018	J	`jnl`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2018	A*	`conf`	G-TSC: Timestamp Based Coherence for GPUs. HPCA Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram
2018	A*	`conf`	GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition. HPCA Mingxing Zhang, Youwei Zhuo, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian
2018	A*	`conf`	GraphR: Accelerating Graph Processing Using ReRAM. HPCA Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen
2018	—	`conf`	Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems. ASP-DAC Xiaoxiao Liu, Wei Wen, Xuehai Qian, Hai Li, Yiran Chen
2018	A*	`conf`	PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. MICRO Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
2018	A	`conf`	ReRAM-based accelerator for deep learning. DATE Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
2018	A*	`conf`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	J	`jnl`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	A*	`conf`	VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
2018	J	`jnl`	VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
2018	A*	`conf`	Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System. ASPLOS Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen
2018	B	`conf`	vSensor: leveraging fixed-workload snippets of programs for performance variance detection. PPoPP Xiongchao Tang, Jidong Zhai, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen
2017	J	`jnl`	CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR 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
2017	A*	`conf`	CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 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
2017	A*	`conf`	DudeTM: Building Durable Transactions with Decoupling for Persistent Memory. ASPLOS Mengxing Liu, Mingxing Zhang, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren
2017	J	`jnl`	GraphR: Accelerating Graph Processing Using ReRAM. CoRR Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2017	A*	`conf`	PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning. HPCA Linghao Song, Xuehai Qian, Hai Li, Yiran Chen
2017	A	`conf`	Power Efficient Sharing-Aware GPU Data Management. IPDPS Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian
2017	A*	`conf`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
2017	—	`conf`	Squeezing out All the Value of Loaded Data: An Out-of-core Graph Processing System with Reduced Disk I/O. USENIX ATC Zhiyuan Ai, Mingxing Zhang, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng
2016	A*	`conf`	Exploring the Hidden Dimension in Graph Processing. OSDI Mingxing Zhang, Yongwei Wu, Kang Chen, Xuehai Qian, Xue Li, Weimin Zheng
2016	B	`conf`	OPR: deterministic group replay for one-sided communication. PPoPP Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu
2016	J	`jnl`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang
2016	A	`conf`	SReplay: Deterministic Sub-Group Replay for One-Sided Communication. ICS Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu
2015	J	`jnl`	Improving multiprocessor performance with fine-grain coherence bypass. Sci. China Inf. Sci. Hui Wang, Rui Wang, Zhongzhi Luan, Xuehai Qian, Depei Qian
2014	A*	`conf`	OmniOrder: Directory-based conflict serialization of transactions. ISCA Xuehai Qian, Benjamín Sahelices, Josep Torrellas
2014	A*	`conf`	Pacifier: Record and replay for relaxed-consistency multiprocessors with distributed directory protocol. ISCA Xuehai Qian, Benjamín Sahelices, Depei Qian
2013	A*	`conf`	BulkCommit: scalable and fast commit of atomic blocks in a lazy multiprocessor environment. MICRO Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian
2013	A*	`conf`	Rainbow: Efficient memory dependence recording with high replay parallelism for relaxed memory model. HPCA Xuehai Qian, He Huang, Benjamín Sahelices, Depei Qian
2013	—	`—`	Scalable and flexible bulk architecture Xuehai Qian
2013	A*	`conf`	Volition: scalable and precise sequential consistency violation detection. ASPLOS Xuehai Qian, Josep Torrellas, Benjamín Sahelices, Depei Qian
2012	A*	`conf`	BulkSMT: Designing SMT processors for atomic-block execution. HPCA Xuehai Qian, Benjamín Sahelices, Josep Torrellas
2010	A*	`conf`	ScalableBulk: Scalable Cache Coherence for Atomic Blocks in a Lazy Environment. MICRO Xuehai Qian, Wonsun Ahn, Josep Torrellas
2007	C	`conf`	Circuit implementation of floating point range reduction for trigonometric functions. ISCAS Xuehai Qian, Hao Zhang, Jingang Yang, He Huang, Junchao Zhang, Dongrui Fan
2007	C	`conf`	Design and Implementation of Floating Point Stack on General RISC Architecture. PDP Xuehai Qian, He Huang, Hao Zhang, Guoping Long, Junchao Zhang, Dongrui Fan
2007	—	`conf`	Optimized Register Renaming Scheme for Stack-Based x86 Operations. ARCS Xuehai Qian, He Huang, Zhenzhong Duan, Junchao Zhang, Nan Yuan, Yongbin Zhou, Hao Zhang, Huimin Cui, Dongrui Fan