Experience report: investigating bug fixes in machine learning frameworks/libraries. - Xiaobing Sun 001; Tianchi Zhou; Rongcun Wang; Yucong Duan; Lili Bo; Jianming Chang (Frontiers Comput. Sci., 2021)

ECIA: Elaborate Change Impact Analysis Based on Sub-Statement Level Dependency Graph. - Zheheng Liang; Jianming Chang; Wuqiang Shen; Chaosheng Yao; Lulu Wang 001 (QRS Companion, 2023)

Commit Classification via Diff-Code GCN based on System Dependency Graph. - Zaixing Zhang; Liang Liu; Jianming Chang; Lulu Wang 001; Li Liao (QRS, 2023)

Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes. - Mei Han; Lulu Wang 001; Jianming Chang; Bixin Li; Chunguang Zhang (ISSRE, 2024)

OTCP-ISVM: Online Test Case Prioritization Based on Incremental Support Vector Machine. - Huaixu Lin; Bixin Li; Liang Liu; Lulu Wang 001; Jianming Chang (QRS, 2024)

Graph-Based Salient Class Classification in Commits. - Jiahao Ren; Jianming Chang; Lulu Wang 001; Zaixing Zhang; Bixin Li (QRS, 2024)

Towards Task-Harmonious Vulnerability Assessment Based on LLM. - Zaixing Zhang; Jianming Chang; Tianyuan Hu; Lulu Wang 001; Bixin Li (ICPC, 2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. - Xin Zhou 014; Martin Weyssow; Ratnadira Widyasari; Ting Zhang 011; Junda He; Yunbo Lyu; Jianming Chang; Beiqi Zhang; Dan Huang; David Lo 001 (CoRR, 2025)

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models. - Jianming Chang; Xin Zhou 014; Lulu Wang 001; David Lo 001; Bixin Li (CoRR, 2025)

HCIA: Hierarchical Change Impact Analysis Based on Hierarchy Program Slices. - Jianming Chang; Lulu Wang 001; Zaixing Zhang (Int. J. Softw. Eng. Knowl. Eng., 2025)

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. - Jianming Chang; Jieke Shi; Yunbo Lyu; Xin Zhou 014; Lulu Wang 001; Zhou Yang 003; Bixin Li; David Lo 001 (CoRR, 2025)