Publications

1. [TSE’24] Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel Briand, Michael Lyu. Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. IEEE Transactions on Software Engineering (TSE), 2024

2. [TOSEM’24] Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu. Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features. ACM Transactions on Software Engineering and Methodology (TOSEM), 2024

3. [SSE’24] Chenxi Mao, Yuxin Su*, Shiwen Shan, Dan Li. eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes. IEEE International Conference on Software Services Engineering (SSE), 2024

4. [Internetware’24, Best Tool Award] Yudan Long, Yuxin Su*, Zigui Jiang. WACP: A Performance Profiling Tool for WebAssembly-Python Interoperability. Asia-Pacific Symposium on Internetware (Internetware), 2024

5. [Cloud’24, Best Paper Award] Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng. TraceMesh: Scalable and Streaming Sampling for Distributed Traces. IEEE International Conference on Cloud Computing (CLOUD), 2024

6. [ISSTA’24] Shiwen Shan, Yintong Huo, Yuxin Su*, Yichen Li, Dan Li and Zibin Zheng. Face It Yourselves: An LLM-based Two-Stage Strategy to Localize Configuration Errors via Logs. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024

7. [ISSTA’24] Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Cong Feng, Yongqiang Yang and Michael R. Lyu. MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024

8. [ISSRE’23] Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang and Michael R. Lyu. Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023

9. [ISSRE’23] Yintong Huo, Cheryl Lee, Yuxin Su*, Shiwen Shan, Jinyang Liu and Michael R. Lyu. EvLog: Identifying Anomalous Logs over Software Evolution. IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023

10. [ASE’23] Yintong Huo, Yichen Li, Yuxin Su*, Pinjia He, Zifan Xie and Michael R. Lyu. AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023

11. [ASE’23] Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, and Michael R. Lyu. Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023

12. [SOSP’23] Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou and Michael R. Lyu. Anole: An Elastic and Adaptive Memory-Disaggregated Caching System. ACM Symposium on Operating Systems Principles (SOSP), 2023

13. [CVPR’23] Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su and Michael Lyu. Improving the Transferability of Adversarial Samples by Path-Augmented Method. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

14. [FAST’23] Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou and Michael R. Lyu. FUSES: A Fully Memory-Disaggregated Key-Value Store. USENIX Conference on File and Storage Technologies (FAST), 2023.

15. [ICSE’23] Yintong Huo, Yuxin Su*, Cheryl Lee and Michael R. Lyu. SemParser: A Semantic Parser for Log Analytics. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.

16. [ICSE’23] Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su*, Yongqiang Yang and Michael R. Lyu. Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.

17. [ICSE’23] Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su* and Michael R. Lyu. Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.

18. [AAAI’23] Zihan Li, Weibin Wu, Yuxin Su*, Zibin Zheng and Michael R. Lyu. CDTA: Cross-Domain Transfer-Based Attack with Contrastive Learning. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.

19. [ICSS’22] Zhilu Lian, Yangzi Li, Zhixiang Chen, Shiwen Shan, Baoxin Han and Yuxin Su*. eBPF-based Working Set Size Estimation in Memory Management. International Conference on Service Science (ICSS), 2022.

20. [ISSTA’22] Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu. AEON: A Method for Automatic Evaluation of NLP Test Cases. International Symposium on Software Testing and Analysis (ISSTA), 2022.

21. [DSN’22] Tianyi Yang, Jiacheng Shen, Yuxin Su*, Xiaoxue Ren, Xiao Ling, Yongqiang Yang and Michael Lyu. Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2022.

22. [CVPR’22] Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su and Michael R. Lyu. Improving Adversarial Transferability via Neuron Attribution-Based Attacks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

23. [ICSE’22] Zhuangbin Chen, Jinyang Liu, Yuxin Su*, Hongyu Zhang, Xiao Ling, Yongqiang Yang and Michael R. Lyu. Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. IEEE/ACM International Conference on Software Engineering (ICSE), 2022.

24. [ICSE’22] Yintong Huo, Yuxin Su*, Hongming Zhang and Michael Lyu. ARCLIN: Automated API Mention Resolution for Unformatted Texts. IEEE/ACM International Conference on Software Engineering (ICSE), 2022.

25. [ASE’21] Zhuangbin Chen, Jinyang Liu, Yuxin Su*, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu. Graph-based Incident Aggregation for Large-Scale Online Service Systems. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021.

26. [ASE’21] Tianyi Yang, Jiacheng Shen, Yuxin Su*, Xiao Ling, Yongqiang Yang, and Michael R. Lyu. AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021

27. [CSUR’21] Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu. A Survey on Automated Log Analysis for Reliability Engineering. ACM Computing Surveys, 2021

28. [ICDCS’21] Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, and Michael R. Lyu. DGFS: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. IEEE International Conference on Distributed Computing Systems (ICDCS), 2021.

29. [CVPR’21] Weibin Wu, Yuxin Su*, Michael R. Lyu, and Irwin King. Improving the Transferability of Adversarial Samples with Adversarial Transformations. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

30. [CVPR’20] Weibin Wu, Yuxin Su*, Xixian Chen, Shenglin Zhao, Irwin King, Michael Lyu and Yu Wing Tai. Boosting the Transferability of Adversarial Samples via Attention. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

31. [CVPR’20] Weibin Wu, Yuxin Su*, Xixian Chen, Shenglin Zhao, Irwin King, Michael Lyu and YuWing Tai. Towards Global Explanations of Convolutional Neural Networks with Concept Attribution. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

32. [IJCAI’19] Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King and Michael Lyu. Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.

33. [CIKM’18] Yuxin Su, Michael R. Lyu and Irwin King. Communication-efficient Distributed Deep Metric Learning with Hybrid Synchronization. In Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), 2018.

34. [SIGIR’17] Yuxin Su, Irwin King and Michael R. Lyu. Learning to Rank Using Localized Geometric Mean Metrics. In Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017.

35. [IJCNN’16] Yuxin Su, Haiqin Yang, Irwin King and Michael R. Lyu. Distributed Information Theoretic Metric Learning in Apache Spark. 2016 International Joint Conference on Neural Networks (IJCNN), 2016.

36. [TKDE’15] Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu and Irwin King. Boosting Response Aware Model-Based Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.