Publications

Conferences

1. Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo, “Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning”, in Proceedings of the 48th IEEE/ACM International Conference on Software Engineering (ICSE), 2026

2. Jiaqi Zhai, Xuanhua Shi, Kaiyi Huang, Chencheng Ye, Weifang Hu, Bingsheng He, Hai Jin, "AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning", Proceedings of IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2025

3. Zongze Jiang, Ming Wen, Jialun Cao, Xuanhua Shi, Hai Jin, "Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation", Proceedings of  IEEE/ACM International Conference on Automated Software Engineering(ASE), 2024 Distinguished Paper Award

4. Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang, Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor, in Proceedings of the 30th ACM SIGOPS Symposium on Operating Systems Principles (SOSP), 2024

5. 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: 2336-2353

6. 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: 10507-10521

7. 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

8. 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%

9. 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%

10. 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

11. 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

12. 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%

13. 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)

14. 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)

15. 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

Journals 

1. Qian Xiong, Weiliang Ma, Xuanhua Shi, Yongluan Zhou, Hai Jin, Kaiyi Huang, Haozhou Wang, Zhengru Wang, gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography, ACM Transactions on Architecture and  Code Optimization, 2025, to appear (source codes)

2. Yusheng Hua, Xuanhua Shi, Ligang He, Kang He, Teng Zhang, Hai Jin, Yong Chen, RuYi: Optimizing Burst Buffer through Automated, Fine-Grained Process-to-BB Mapping,  IEEE Transactions on Computers, 2024, to appear

3. 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

4. Wenchao Wu, Xuanhua Shi , Ligang He , 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

5. 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 (Waterwave Could Quench AIs' Thirst for GPU Memory, IEEE Journal Watch)

6. 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) 

7. Zhigao Zheng, Xuanhua Shi, Hai Jin, Parallel Overlapping Community Detection Algorithm on GPU. IEEE Transactions on  Big Data, 9(2): 677-687, 2023

8. 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

9. 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 Transactions on Parallel and  Distributed Systems, 32(1): 160-173, 2021

10. 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

Full list 

1. DBLP: https://dblp.org/pid/85/5317.html

2. Google Scholar: https://scholar.google.com/citations?user=B5dWy88AAAAJ&hl=en