Senrong Xu

Senrong Xu

About Me

I am a third-year Ph.D. student in the Department of Computer Science at Nanjing University, advised by Associate Prof. Yuan Yao, Prof. Feng Xu, and Prof. Xiaoxing Ma. My research interests primarily include model uncertainty quantification, large language model post-training, and AI for software engineering (AI4SE). I am broadly interested in building reliable and trustworthy AI systems that bridge the gap between machine learning and software engineering.

🔥 News

  • 2026.06:  I joined the Douyin Algorithm Team at ByteDance as an Algorithm Intern.
  • 2026.05:  🎉 One paper (about conformal prediction) accepted at KDD 2026.
  • 2026.01:  🎉 One paper (about conformal prediction) accepted at ICLR 2026.

📝 Publications

  • The Entropic Overhead of Conformal Correction [Paper] [Code]
    Senrong Xu, Tianyu Wang, Zenan Li, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
  • Fair Conformal Classification via Learning Representation-Based Groups [Paper] [Code]
    Senrong Xu, Yanke Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma
    International Conference on Learning Representations (ICLR 2026)
  • Robustness Evaluation and Enhancement of LLMs in Code Generation: An Empirical Study [Paper] [Code]
    Jincheng Liu, Senrong Xu, Yuan Yao, Yibin Shen, Yicong Zhao, Xiaorui Zhu, Ping Yu, Feng Xu, Xiaoxing Ma
    Empirical Software Engineering (ESE 2026)
  • Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-Label Learning [Paper]
    Wei Liu, Yuhe An, Senrong Xu, Xingshen Wei, Weiyong Yang
    Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025)
  • On the Heterophily of Program Graphs: A Case Study of Graph-based Type Inference [Paper]
    Senrong Xu, Jiamei Shen, Yunfan Li, Yuan Yao, Ping Yu, Feng Xu, Xiaoxing Ma
    Asia-Pacific Symposium on Internetware 2024
  • On the Vulnerability of Graph Learning-based Collaborative Filtering [Paper]
    Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong
    ACM Transactions on Information Systems (TOIS 2023)
  • MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation [Paper]
    Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong
    ACM International Conference on Web Search and Data Mining (WSDM 2023)
  • Detecting Topology Attacks against Graph Neural Networks [Paper]
    Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong
    Workshop on Trustworthy Learning on Graphs (TrustLOG-CIKM 2022)

🎖 Honors and Awards

  • 2023, Alibaba Outstanding Intern of the Year (15 candidates)
  • 2022, Best Paper Award Runner-up, TrustLOG-CIKM 2022
  • 2016 - 2026, Several Academic Scholarships

📖 Educations

  • 2023.09 - 2026.04 (now), Ph.D. in Computer Science, Nanjing University, Nanjing, China
  • 2020.09 - 2023.06, M.Sc. in Computer Science, Nanjing University, Nanjing, China
  • 2016.09 - 2020.06, B.Sc. in Computer Science, Nanjing University, Nanjing, China

💻 Internships

  • 2026.06 - Present, Algorithm Intern, Douyin Algorithm Team, ByteDance, Shanghai, China
  • 2021.08 - 2022.06, Research Intern, Fliggy Algorithm Team, Alibaba, Hangzhou, China