Shihao Weng 翁诗浩
Ph.D. student, Nanjing University
I am a third-year Ph.D. student at Nanjing University, advised by Prof. Yang Feng. I am currently a visiting student at The Chinese University of Hong Kong with Prof. Michael R. Lyu, and before that spent a year at Singapore Management University working with Prof. Xiaofei Xie.
My research is on trustworthy AI: making large language models and agents reliable, safe, and aligned with human values. I work across the model lifecycle, from how models are trained and aligned, to how their behavior is evaluated and understood, to how they are safeguarded once deployed in the real world.
Feel free to reach out at shweng@smail.nju.edu.cn to chat about research or collaboration.
News
- Sep 2026Are LLM Safety Judges Policy-Invariant? accepted at NeurIPS 2026 (ED Track) as a Spotlight.
- Dec 2025Two papers accepted at ICSE 2026 (Cycle 2).
- Jun 2025One paper accepted at ICSE 2026.
- Sep 2024One co-authored paper accepted at ISSTA 2024.
- Nov 2023One co-authored paper accepted at FSE 2023.
- Oct 2023Received the Distinguished Paper Award at Internetware 2023.
Publications † equal contribution * corresponding author
2026
- Are LLM Safety Judges Policy-Invariant? A Three-Principle Stress-Test
- TACO: Trust Assessment of Large Language Models in Coding Assistance Tasks
- AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
- VADA: A Multicultural Benchmark for Value-Aware Data Generation and Alignment Evaluation in LLMs
- When Code Becomes an LLM Call: An Empirical Study of Call-Site Contracts in Agentic Systems
- AgentAntibody: An Adaptive Immune System for Defending LLM Agents against Prompt Injection
- ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
2025
- Data preparation and quality for code-centric generative software engineering tasks: a systematic literature review
- Lightweight Probabilistic Coverage Metrics for Efficient Testing of Deep Neural Networks
2024
- Datactive: Data Fault Localization for Object Detection Systems
- Seeing the invisible: test prioritization for object detection system
2023
- Dynamic Data Fault Localization for Deep Neural Networks
- Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems
Honors
- 2023–24Outstanding Graduate Student, Nanjing University (×2)
- 2023National Scholarship for Graduate Students
- 2023Distinguished Paper Award, Internetware 2023
- 2021CCF Outstanding Undergraduate Student
- 2020–21National Scholarship for Undergraduate Students (×2)
Service
- ReviewerNeurIPS 2026 Workshop · TAE
Education
- 2024–nowPh.D. in Software Engineering, Nanjing University, advised by Yang Feng
- 2022–24M.S. in Software Engineering, Nanjing University
- 2018–22B.E. in Computer Science, Jiangnan University, advised by Heng-yang Lu