About me

This is the webpage for Zongjie’s academic research. I’m a final year Ph.D. student at the HKUST, advised by Prof. Shuai Wang.
Currently, I’m visiting the Advanced Software Technologies (AST) Lab at ETH Zurich (ETH), advised by Prof. Zhendong Su.

News

• [2024-10] Glad to be invited as a PC member at Conference on AI Foundation Models and Software Engineering (FORGE 2025) in ICSE 2025.
• [2024-09] Our paper Split and Merge: Aligning Position Biases in LLM-based Evaluators is now accepted by EMNLP 2024 Main Track
• [2024-08] Our proposal towards Robustness & Fairness in LLM is now accepted by OpenAI.
• [2024-06] Our LLM SFT data synthesis paper API-guided Dataset Synthesis to Finetune Large Code Models as well as the code is released.
• [2024-05] The work of the first student I co-supervised, NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair, is now accessible.
• [2024-04] Our paper study the multi-lingual bias in large code models is now accessible. Paper
• [2023-12] Our Visual Reference prompting benchmark VisualReferPrompt as well as the framework is released, paper.
• [2023-11] Our paper Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools is now accepted by TDSC
• [2023-10] Our paper On the Feasibility of Specialized Ability Stealing for Large Language Code Models is now accepted by ICSE’24 (second round)
• [2023-10] Make GPT-4 more consistent when using as evaluators, or even replace it with less powerful model is now applicable paper.
• [2023-09] Our paper about Watermark technique for LLM is now accepted by CCS’23, it is planning to be commercialized.
• [2023-08] Enhance binary similarity with low-cost? See our paper in ICSE’24 (first round).

Current Questions

• Why LLM works? How they understand the knowledge?
• Is it feasible to use large-scale synthetic data to promote LLM helpfulness and security in specific scenarios?[Solved]
• Are LLMs good evaluators? To what extent will they impact existing (safety) evaluation systems? [Solved]

Long Vision

Ensuring traceable safety on the path towards AGI