Xuanhua Shi

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

Concurr. Comput. Pract. Exp.

IEEE Trans. Computers

Publications

Xianzhi Zeng, Zhuoyan Wu, Xinjing Hu, Xuanhua Shi, Shixuan Sun, Shuhao Zhang
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion. CoRR (2024)
Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. ACL (Findings) (2024)
Hao Fan, Yiliang Ye, Shadi Ibrahim, Zhuo Huang, Xingru Li, Weibin Xue, Song Wu, Chen Yu, Xuanhua Shi, Hai Jin
QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. CoRR (2024)
Hai Jin, Zhanyang Zhu, Ligang He, Yuhao Li, Yusheng Hua, Xuanhua Shi
MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks. IEEE Trans. Computers 73 (2) (2024)
Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. ACL (Findings) (2024)
Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. CoRR (2024)
Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, Li Lu
Data Stream Clustering: An In-depth Empirical Study. Proc. ACM Manag. Data 1 (2) (2023)
Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin
TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs. IEEE Trans. Computers 72 (9) (2023)
Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong
Temporal Graph Cube. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Scalable Optimal Margin Distribution Machine. IJCAI (2023)
Shaoqi Zang, Sheng Han, Pingpeng Yuan, Xuanhua Shi, Hai Jin
HyperBit: A temporal graph store for fast answering queries. Data Knowl. Eng. 144 (2023)
Yu Zhang, Zixiao Wang, Jin Zhao, Yuluo Guo, Hai Jin, Hui Yu, Zhiying Huang, Xuanhua Shi, Xiaofei Liao
Graph for Science: From API based Programming to Graph Engine based Programming for HPC. CoRR (2023)
Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. EMNLP (Findings) (2023)
Wenchao Wu, Xuanhua Shi, Ligang He, Hai Jin
TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin
Incremental and Decremental Optimal Margin Distribution Learning. IJCAI (2023)
Zhigao Zheng, Xuanhua Shi, Hai Jin
Parallel Overlapping Community Detection Algorithm on GPU. IEEE Trans. Big Data 9 (2) (2023)
Xuanhua Shi, Xuan Peng, Ligang He, Yunfei Zhao, Hai Jin
Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. IEEE Trans. Computers 72 (10) (2023)
Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, Weifang Hu
GZKP: A GPU Accelerated Zero-Knowledge Proof System. ASPLOS (2) (2023)
Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Scalable Optimal Margin Distribution Machine. CoRR (2023)
Zhiqiang Liu, Xuanhua Shi, Hai Jin
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples. Big Data Res. 30 (2022)
Yusheng Hua, Xuanhua Shi, Kang He, Hai Jin, Wei Xie, Ligang He, Yong Chen
LoomIO: Object-Level Coordination in Distributed File Systems. IEEE Trans. Parallel Distributed Syst. 33 (8) (2022)
Hulin Dai, Xuan Peng, Xuanhua Shi, Ligang He, Qian Xiong, Hai Jin
Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment. Sci. China Inf. Sci. 65 (1) (2022)
Hai Jin, Yao Wu, Hong Huang, Yu Song, HaoHui Wei, Xuanhua Shi
Modeling Information Diffusion With Sequential Interactive Hypergraphs. IEEE Trans. Sustain. Comput. 7 (3) (2022)
Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. IJCAI (2022)
HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin
Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network. ECML/PKDD (2) (2022)
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. CoRR (2021)
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Hong Huang, Zhexue Chen, Xuanhua Shi, Chenxu Wang, Zepeng He, Hai Jin, Mingxin Zhang, Zongya Li
China in the eyes of news media: a case study under COVID-19 epidemic. Frontiers Inf. Technol. Electron. Eng. 22 (11) (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) (2021)
Qiang-Sheng Hua, Lixiang Qian, Dongxiao Yu, Xuanhua Shi, Hai Jin
A nearly optimal distributed algorithm for computing the weighted girth. Sci. China Inf. Sci. 64 (11) (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. CoRR (2021)
Ying Yang, Xuanhua Shi, Wei Liu, Hai Jin, Yusheng Hua, Yan Jiang
DDL-QoS: A dynamic I/O scheduling strategy of QoS for HPC applications. Concurr. Comput. Pract. Exp. 33 (7) (2021)
Hai Jin, Wenchao Wu, Xuanhua Shi, Ligang He, Bing Bing Zhou
TurboDL: Improving the CNN Training on GPU With Fine-Grained Multi-Streaming Scheduling. IEEE Trans. Computers 70 (4) (2021)
Zhigao Zheng, Xuanhua Shi, Ligang He, Hai Jin, Shuo Wei, Hulin Dai, Xuan Peng
Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. IEEE Trans. Parallel Distributed Syst. 32 (1) (2021)
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. CoRR (2021)
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)
Xiaofei Liao, Long Zheng, Binsheng Zhang, Yu Zhang, Hai Jin, Xuanhua Shi, Yi Lin
Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications. Concurr. Comput. Pract. Exp. 32 (3) (2020)
Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li
ByteSeries: an in-memory time series database for large-scale monitoring systems. SoCC (2020)
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen
Optimizing the SSD Burst Buffer by Traffic Detection. ACM Trans. Archit. Code Optim. 17 (1) (2020)
Zhiqiang Liu, Xuanhua Shi, Ligang He, Dongxiao Yu, Hai Jin, Chen Yu, Hulin Dai, Zezhao Feng
A parameter-level parallel optimization algorithm for large-scale spatio-temporal data mining. Distributed Parallel Databases 38 (3) (2020)
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. DASFAA (2) (2020)
Mingyu Li, Zhiqiang Liu, Xuanhua Shi, Hai Jin
ATCS: Auto-Tuning Configurations of Big Data Frameworks Based on Generative Adversarial Nets. IEEE Access 8 (2020)
Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou
Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE (2020)
Yusheng Hua, Xuanhua Shi, Hai Jin, Wei Liu, Yan Jiang, Yong Chen, Ligang He
Software-defined QoS for I/O in exascale computing. CCF Trans. High Perform. Comput. 1 (1) (2019)
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen
Optimizing the SSD Burst Buffer by Traffic Detection. CoRR (2019)
Xuanhua Shi, Zhixiang Ke, Yongluan Zhou, Hai Jin, Lu Lu, Xiong Zhang, Ligang He, Zhenyu Hu, Fei Wang
Deca: A Garbage Collection Optimizer for In-Memory Data Processing. ACM Trans. Comput. Syst. 36 (1) (2019)
Hai Jin, Chen Qian, Dongxiao Yu, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie
Parallel computation of hierarchical closeness centrality and applications. World Wide Web 22 (6) (2019)
Dong Dai, Forrest Sheng Bao, Jiang Zhou, Xuanhua Shi, Yong Chen
Vectorizing disks blocks for efficient storage system via deep learning. Parallel Comput. 82 (2019)
Qiang-Sheng Hua, Xuanhua Shi, Yinglong Xia, Howie Huang
Guest Editorial: Special Issue on Algorithms and Systems on Big Graph Processing. Int. J. Parallel Program. 47 (4) (2019)
Bo Liu, Wenbin Jiang, Hai Jin, Xuanhua Shi, Yang Ma
Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems. PPOPP (2018)
Hai Jin, Na Wang, Dongxiao Yu, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie
Core Maintenance in Dynamic Graphs: A Parallel Approach Based on Matching. IEEE Trans. Parallel Distributed Syst. 29 (11) (2018)
Tarek Menouer, Christophe Cérin, Walid Saad, Xuanhua Shi
A Resource Allocation Framework with Qualitative and Quantitative SLA Classes. Euro-Par Workshops (2018)
Hai Jin, Bo Liu, Wenbin Jiang, Yang Ma, Xuanhua Shi, Bingsheng He, Shaofeng Zhao
Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures. ACM Trans. Archit. Code Optim. 15 (3) (2018)
Weizhong Qiang, Jiawei Yang, Hai Jin, Xuanhua Shi
PrivGuard: Protecting Sensitive Kernel Data From Privilege Escalation Attacks. IEEE Access 6 (2018)
Fei Wang, Xuanhua Shi, Dongxiao Yu, Zhixiang Ke, Hai Jin, Song Wu
SDPA: An Optimizer for Program Analysis of Data-Parallel Applications. HPCC/SmartCity/DSS (2018)
Xuanhua Shi, Zhigao Zheng, Yongluan Zhou, Hai Jin, Ligang He, Bo Liu, Qiang-Sheng Hua
Graph Processing on GPUs: A Survey. ACM Comput. Surv. 50 (6) (2018)
Xuanhua Shi, Xuan Luo, Junling Liang, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Trans. Knowl. Data Eng. 30 (1) (2018)
Wenke Li, Xuanhua Shi, Hong Huang, Peng Zhao, Hai Jin, Dong Dai, Yong Chen
GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management. NPC (2018)
Wenyong Zhong, Jianhua Sun, Hao Chen, Jun Xiao, Zhiwen Chen, Cheng Chang, Xuanhua Shi
Optimizing Graph Processing on GPUs. IEEE Trans. Parallel Distributed Syst. 28 (4) (2017)
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems. CoRR (2017)
Qiang-Sheng Hua, Ming Ai, Hai Jin, Dongxiao Yu, Xuanhua Shi
Distributively Computing Random Walk Betweenness Centrality in Linear Time. ICDCS (2017)
Huiming Lv, Zhiyuan Shao, Lang Li, Xuanhua Shi, Hai Jin
A task-based approach for finding SCCs in real-world graphs on external memory. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Na Wang, Dongxiao Yu, Hai Jin, Qiang-Sheng Hua, Xuanhua Shi, Xia Xie
Core Maintenance in Dynamic Graphs: A Parallel Approach based on Matching. CoRR (2017)
Yuanzhen Geng, Xuanhua Shi, Cheng Pei, Hai Jin, Wenbin Jiang
LCS: An Efficient Data Eviction Strategy for Spark. Int. J. Parallel Program. 45 (6) (2017)
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, Song Wu
MURS: Mitigating Memory Pressure in Service-Oriented Data Processing System. ICWS (2017)
Xuanhua Shi, Ming Li, Wei Liu, Hai Jin, Chen Yu, Yong Chen
SSDUP: a traffic-aware ssd burst buffer for HPC systems. ICS (2017)
Peng Zhao, Xuan Luo, Jiang Xiao, Xuanhua Shi, Hai Jin
Puffin: Graph Processing System on Multi-GPUs. SOCA (2017)
Duoqiang Wang, Wei Dai, Chi Zhang, Xuanhua Shi, Hai Jin
TPS: An Efficient VM Scheduling Algorithm for HPC Applications in Cloud. GPC (2017)
Zhiqiang Liu, Xuanhua Shi, Hai Jin
Exploiting Sample Diversity in Distributed Machine Learning Systems. CCGrid (2016)
Ran Zheng, Genmao Yu, Hai Jin, Xuanhua Shi, Qin Zhang
Conch: A Cyclic MapReduce Model for Iterative Applications. PDP (2016)
Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian, Yangyang Li, Xuanhua Shi, Hai Jin
Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality. ICDCS (2016)
Xiong Zhang, Linxi Zeng, Xuanhua Shi, Song Wu, Xia Xie, Hai Jin
HCOpt: An Automatic Optimizer for Configuration Parameters of Hadoop. HCC (2016)
Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng
Lifetime-Based Memory Management for Distributed Data Processing Systems. Proc. VLDB Endow. 9 (12) (2016)
Song Wu, Like Zhou, Huahua Sun, Hai Jin, Xuanhua Shi
Poris: A Scheduler for Parallel Soft Real-Time Applications in Virtualized Environments. IEEE Trans. Parallel Distributed Syst. 27 (3) (2016)
Qiang-Sheng Hua, Haoqiang Fan, Lixiang Qian, Ming Ai, Yangyang Li, Xuanhua Shi, Hai Jin
Brief Announcement: A Tight Distributed Algorithm for All Pairs Shortest Paths and Applications. SPAA (2016)
Bo Liu, Xuanhua Shi, Hai Jin
Measuring Directional Semantic Similarity with Multi-features. APWeb (1) (2016)
Yunjie Du, Xuanhua Shi, Hai Jin, Song Wu, Laurence T. Yang
FITDOC: fast virtual machines checkpointing with delta memory compression. J. Supercomput. 72 (9) (2016)
Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng
Lifetime-Based Memory Management for Distributed Data Processing Systems. CoRR (2016)
Yuan Liu, Xuanhua Shi, Hai Jin
Runtime-aware adaptive scheduling in stream processing. Concurr. Comput. Pract. Exp. 28 (14) (2016)
Ming Li, Xuanhua Shi, Wei Liu, Hai Jin, Yong Chen
SSDUP: An Efficient SSD Write Buffer Using Pipeline. CLUSTER (2016)
Huiming Lv, Zhiyuan Shao, Xuanhua Shi, Hai Jin
Finding SCCs in Real-World Graphs on External Memory: A Task-Based Approach. ISPDC (2016)
Ching-Hsien Hsu, Xiaoming Li, Xuanhua Shi
Network and Parallel Computing. Int. J. Parallel Program. 43 (3) (2015)
Hai Jin, Xinhou Wang, Song Wu, Sheng Di, Xuanhua Shi
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform. IEEE Trans. Cloud Comput. 3 (4) (2015)
Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong
Optimization of asynchronous graph processing on GPU with hybrid coloring model. PPOPP (2015)
Lu Lu, Xuanhua Shi, Hai Jin
Towards Truly Elastic Distributed Graph Computing in the Cloud. APSCC (2015)
Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, Song Wu
Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications. IEEE Trans. Parallel Distributed Syst. 26 (8) (2015)
Song Wu, Haibao Chen, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi
Synchronization-Aware Scheduling for Virtual Clusters in Cloud. IEEE Trans. Parallel Distributed Syst. 26 (10) (2015)
Haiwu He, Anthony Simonet, Julio Anjos Jose-Francisco Saray, Gilles Fedak, Bing Tang, Lu Lu, Xuanhua Shi, Hai Jin, Mircea Moca, Gheorghe Cosmin Silaghi, Asma Ben Cheikh, Heithem Abbes
D3-MapReduce: Towards MapReduce for Distributed and Dynamic Data Sets. SmartCity (2015)
Cheng Pei, Xuanhua Shi, Hai Jin
Improving the Memory Efficiency of In-Memory MapReduce Based HPC Systems. ICA3PP (1) (2015)
Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi
Communication-driven scheduling for virtual clusters in cloud. HPDC (2014)
Zhixiang Wang, Xuanhua Shi, Hai Jin, Song Wu, Yong Chen
Iteration Based Collective I/O Strategy for Parallel I/O Systems. CCGRID (2014)
Xin Yu, Xuanhua Shi, Hai Jin, Xiaofei Liao, Song Wu, Xiaoming Li
Page Classifier and Placer: A Scheme of Managing Hybrid Caches. NPC (2014)
Song Wu, Like Zhou, Danqing Fu, Hai Jin, Xuanhua Shi
A Real-Time Scheduling Framework Based on Multi-core Dynamic Partitioning in Virtualized Environment. NPC (2014)
Pingpeng Yuan, Changfeng Xie, Hai Jin, Ling Liu, Guang Yang, Xuanhua Shi
Dynamic and fast processing of queries on large-scale RDF data. Knowl. Inf. Syst. 41 (2) (2014)
Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu
GIRAFFE: A scalable distributed coordination service for large-scale systems. CLUSTER (2014)
Jiangshao Gu, Xuanhua Shi
An adaptive PSO based on motivation mechanism and acceleration restraint operator. IEEE Congress on Evolutionary Computation (2014)
Lu Lu, Xuanhua Shi, Hai Jin, Qiuyue Wang, Daxing Yuan, Song Wu
Morpho: A decoupled MapReduce framework for elastic cloud computing. Future Gener. Comput. Syst. 36 (2014)
Hai Jin, Li Deng, Song Wu, Xuanhua Shi, Hanhua Chen, Xiaodong Pan
MECOM: Live migration of virtual machines by adaptively compressing memory pages. Future Gener. Comput. Syst. 38 (2014)
Yunjie Du, Xuanhua Shi, Hai Jin, Song Wu
FITDOC: Fast Virtual Machines Checkpointing with Delta Memory Compression. CSE (2014)

Xuanhua Shi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xuanhua Shi