Yuxin Su

Yuxin Su

Associate Professor @ Sun Yat-sen University

About me

I am currently an associate professor of the School of Software Engineering in the Sun Yat-sen University. Previously, I was a postdoctoral fellow at the Chinese University of Hong Kong (CUHK). In 2019, I also obtained my Ph.D. degree in department of computer science and engineering from CUHK, under the supervision of Prof. Irwin King. Before coming to CUHK, I obtained my M.E. degree from Zhejiang University and B.S. degree from Sun Yat-sen University respectively.

My research interests include AI for systems, cloud computing, AIOps, operating system, distributed system and machine learning.

I am looking for self-motivated students. Please drop me an email if you are interested.

Selected Paper

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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

  • [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.

  • [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.

  • [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.

  • [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

Teaching

  1. SSE201 Data structure and algorithm
  2. SSE202 Operating Systems

Services

  • Program committee: ISSTA