Publications
Conferences
Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi, "SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning", in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing(EMNLP Findings), Singapore, Dec 6th -10th, 2023
Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin, "Scalable Optimal Margin Distribution Machine", in Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China, August 19th-25th, 2023. Acceptance ratio: 15%
Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin, "Incremental and Decremental Optimal Margin Distribution Learning", in Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China, August 19th-25th, 2023. Acceptance ratio: 15%
Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xianzhi Zeng, Zhonghao Yang, Haolan He, Yuhao Wu, Xuanhua Shi, Li Lu, "Data Stream Clustering: An In-depth Empirical Study", in Proceedings of ACM International Conference on Management of Data (ACM SIGMOD), Seattle, WA, USA, 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", in Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS ’23), Vancouver, Canada, March 25-29, 2023. Acceptance ratio: 21%. Top 100 Chips achievements
Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin, "Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution", in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-22), Vienna, Austria, July 23-29, 2022. Acceptance ratio: 15%
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", in Proceedings of the ACM Symposium on Cloud Computing (SoCC'20), Seattle, WA, USA, October 19-21, 2020, Acceptance ratio: 24.5%( 35/143)
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", in Proceedings of the IEEE International Conference on Data Engineering (ICDE'2020), Dallas, Texas, USA, April 20-24, 2020. Acceptance ratio: 26%(Industry Track, 15/57)
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", in Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'2020), Lausanne, Switzerland, March 16-20, 2020. Acceptance ratio: 18.1% (86/476). Talk on Youtube
Xuanhua Shi, Xiong Zhang, Ligang He, Hai Jin, Zhixiang Ke, and Song Wu, "MURS: Mitigating Memory Pressure In Service-Oriented Data Processing Systems". in Proceedings of the 24th IEEE International Conference on Web Services (ICWS), Honolulu, Hawaii, USA, June 25-30, 2017. (Source codes)
Xuanhua Shi, Ming Li, Wei Liu, Hai Jin, Chen Yu, and Yong Chen, "SSDUP: A Traffic-Aware SSD Burst Buffer for HPC Systems". in Proceedings of the ACM International Conference on Supercomputing (ICS), Chicago, Illinois, USA, June 13-16, 2017 (Source codes). Acceptance ratio: 15.8% (28/177)
Qiang-Sheng Hua, Ming Ai, Hai Jin, Dongxiao Yu, and Xuanhua Shi, "Distributively Computing Random Walk Betweenness Centrality in Linear Time". in Proceedings of the IEEE International Conference on Distributed Computing Systems(ICDCS), Atlanta, GA, USA, June 5-8, 2017
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". in Proceedings of the VLDB Endowment (PVLDB), New Delhi, India, Sept. 5-9, 2016. Acceptance ratio: 14.5% (104/719)
Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian, Yangyang Li, Xuanhua Shi, Hai Jin, "Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality". in Proceedings of the IEEE International Conference on Distributed Computing Systems(ICDCS), Nara, Japan, June 27-30, 2016
Zhiqiang Liu, Xuanhua Shi, Hai Jin, "Exploiting Sample Diversity in Distributed Machine Learning Systems". IEEE/ACM CCGrid, Cartagena, Colombia, May 16-19, 2016
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". inProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '15), poster, San Francisco, USA, 2015. (Source codes) " updated results "
Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di and Song Wu, "GIRAFFE: A Scalable Distributed Coordination Service for Large-scale Systems". in Proceedings of the IEEE Cluster, Madrid, Spain, 2014. Nominated for Best Paper (Source codes)
Journals
Hai Jin, Zhanyang Zhu, Ligang He, Yuhao Li, Yusheng Hua, Xuanhua Shi, MMDataLoader: Reusing Preprocessed Data Among Concurrent Model Training Tasks. IEEE Transactions on Computers, 73(2): 510-522, 2024
Wenchao Wu, Xuanhua Shi , Senior Member, IEEE, Ligang He , Member, IEEE, and Hai Jin, TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs, IEEE Transactions on Computers, 72(9): 2571-2584, 2023
Xuanhua Shi, Xuan Peng, Ligang He, Yunfei Zhao, Hai Jin, Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. IEEE Transactions on Computers, 72(10): 2938-2950, 2023
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li,Yong Chen, Optimizing the SSD Burst Buffer by Traffic Detection, ACM Transactions on Architecture and Code Optimization,2020, 17(1)
Zhigao Zheng, Xuanhua Shi, Hai Jin, Parallel Overlapping Community Detection Algorithm on GPU. IEEE Transactions on Big Data, 9(2): 677-687, 2023
Yusheng Hua, Xuanhua Shi, Kang He, Hai Jin, Wei Xie, Ligang He, Yong Chen, LoomIO: Object-Level Coordination in Distributed File Systems. IEEE Transactions on Parallel and Distributed Systems, 33(8): 1799-1810, 2022
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. Transactions on Parallel and Distributed Systems, 32(1): 160-173, 2021
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, Yong Chen, Optimizing the SSD Burst Buffer by Traffic Detection. ACM Transactions on Architecture and Code Optimization, 17(1): 8:1-8:26, 2020
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 Transactions on Computer Systems, 36(1): 3:1-3:47, 2019
Full list
Google Scholar: https://scholar.google.com/citations?user=B5dWy88AAAAJ&hl=en