| 2026 | AAAI | Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction. | Junsheng Wang, Tiantian Gong, Yeyun Wu, Xiaobing Sun |
| 2026 | AAAI | MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation. | Jiale Zhang, Yanan Wang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Yu Li |
| 2026 | ACL | League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models. | Qianhong Guo, Wei Xie, Xiaofang Cai, Enze Wang, Shuoyoucheng Ma, Xiaobing Sun, Tian Xia, Kai Chen, Xiaofeng Wang, Baosheng Wang |
| 2025 | CogSci | AIPsychoBench: Understanding the Psychometric Differences between LLMs and Humans. | Wei Xie, Shuoyoucheng Ma, Zhenhua Wang, Xiaobing Sun, Kai Chen, Enze Wang, Wei Liu, Hanying Tong |
| 2025 | CogSci | Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration from Cognitive Psychology. | Shuoyoucheng Ma, Wei Xie, Zhenhua Wang, Xiaobing Sun, Kai Chen, Enze Wang, Wei Liu, Hanying Tong |
| 2025 | CogSci | Self-Persuasion: A Novel Cognitive Approach to Effective LLM Jailbreaking. | Zhenhua Wang, Wei Xie, Shuoyoucheng Ma, Xiaobing Sun, Baosheng Wang, Zhihua Wen, Enze Wang, Kai Chen |
| 2025 | WWW | Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. | Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long |
| 2024 | IJCAI | BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. | Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long |
| 2024 | ICSE | Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. | Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu |
| 2024 | QRS | A Software Bug Fixing Approach Based on Knowledge-Enhanced Large Language Models. | Lili Bo, Yuting He, Xiaobing Sun, Wangjie Ji, Xiaohan Wu |
| 2023 | AST | An Intelligent Duplicate Bug Report Detection Method Based on Technical Term Extraction. | Xiaoxue Wu, Wenjing Shan, Wei Zheng, Zhiguo Chen, Tao Ren, Xiaobing Sun |
| 2023 | EMNLP | Unraveling Feature Extraction Mechanisms in Neural Networks. | Xiaobing Sun, Jiaxi Li, Wei Lu |
| 2023 | ICSE | Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation. | Sicong Cao, Xiaobing Sun, Xiaoxue Wu, Lili Bo, Bin Li, Rongxin Wu, Wei Liu, Biao He, Yu Ouyang, Jiajia Li |
| 2023 | ICSE | RepresentThemAll: A Universal Learning Representation of Bug Reports. | Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, Xiaobing Sun |
| 2023 | SP | ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing. | Sicong Cao, Biao He, Xiaobing Sun, Yu Ouyang, Chao Zhang, Xiaoxue Wu, Ting Su, Lili Bo, Bin Li, Chuanlei Ma, Jiajia Li, Tao Wei |
| 2022 | ACNS | Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning. | Jiale Zhang, Liangqiong Tu, Jie Cai, Xiaobing Sun, Bin Li, Weitong Chen, Yu Wang |
| 2022 | ICSE | MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks. | Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, Chuanqi Tao |
| 2022 | NAACL | Implicit n-grams Induced by Recurrence. | Xiaobing Sun, Wei Lu |
| 2022 | QRS | A Comprehensive Analysis of NVD Concurrency Vulnerabilities. | Lili Bo, Xing Meng, Xiaobing Sun, Jingli Xia, Xiaoxue Wu |
| 2022 | WSDM | MonLAD: Money Laundering Agents Detection in Transaction Streams. | Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
| 2021 | PAKDD | CubeFlow: Money Laundering Detection with Coupled Tensors. | Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng |
| 2021 | QRS | GrasP: Graph-to-Sequence Learning for Automated Program Repair. | Ben Tang, Bin Li, Lili Bo, Xiaoxue Wu, Sicong Cao, Xiaobing Sun |
| 2020 | ACL | Understanding Attention for Text Classification. | Xiaobing Sun, Wei Lu |
| 2019 | ICSE | MULAPI: a tool for API method and usage location recommendation. | Congying Xu, Bosen Min, Xiaobing Sun, Jiajun Hu, Bin Li, Yucong Duan |
| 2018 | SEKE | Towards Cost Effective Privacy Provision for Typed Resources in IoT Environment (S). | Yucong Duan, Zhengyang Song, Xiaoxian Yang, Quan Zou, Xiaobing Sun, Xinyue Zhang |
| 2017 | APSEC | An Empirical Study on Real Bugs for Machine Learning Programs. | Xiaobing Sun, Tianchi Zhou, Gengjie Li, Jiajun Hu, Hui Yang, Bin Li |
| 2017 | ICSE | Construct bug knowledge graph for bug resolution: poster. | Lu Wang, Xiaobing Sun, Jingwei Wang, Yucong Duan, Bin Li |
| 2017 | IDEAL | An Investment Defined Transaction Processing Towards Temporal and Spatial Optimization with Collaborative Storage and Computation Adaptation. | Yucong Duan, Lixu Shao, Xiaobing Sun, Donghai Zhu, Xiaoxian Yang, Abdelrahman Osman Elfaki |
| 2017 | IDEAL | A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph. | Lixu Shao, Yucong Duan, Lizhen Cui, Quan Zou, Xiaobing Sun |
| 2017 | SEKE | Answering Who/When, What, How, Why through Constructing Data Graph, Information Graph, Knowledge Graph and Wisdom Graph. | Lixu Shao, Yucong Duan, Xiaobing Sun, Honghao Gao, Donghai Zhu, Weikai Miao |
| 2017 | SERA | Bidirectional value driven design between economical planning and technical implementation based on data graph, information graph and knowledge graph. | Lixu Shao, Yucong Duan, Xiaobing Sun, Quan Zou, Rongqi Jing, Jiami Lin |
| 2016 | COMPSAC | On Automatic Summarization of What and Why Information in Source Code Changes. | Jinfeng Shen, Xiaobing Sun, Bin Li, Hui Yang, Jiajun Hu |
| 2016 | COMPSAC | DR_PSF: Enhancing Developer Recommendation by Leveraging Personalized Source-Code Files. | Hui Yang, Xiaobing Sun, Bin Li, Yucong Duan |
| 2016 | ICSE | Model under design and over design on mobile applications. | Yucong Duan, Xiaobing Sun, Nanjangud C. Narendra, Qiang Duan, Guohua Fu, Ruomeng Xu |
| 2016 | ICSE | Recommending developers with supplementary information for issue request resolution. | Hui Yang, Xiaobing Sun, Bin Li, Jiajun Hu |
| 2016 | ICSOC | Enhancing UML Class Diagram Abstraction with Page Rank Algorithm and Relationship Abstraction Rules. | Liang Huang, Yucong Duan, Zhangbing Zhou, Lixu Shao, Xiaobing Sun, Patrick C. K. Hung |
| 2016 | IDEAL | Enhancing UML Class Diagram Abstraction with Knowledge Graph. | Liang Huang, Yucong Duan, Xiaobing Sun, Zhaoxin Lin, Chuanpu Zhu |
| 2016 | IDEAL | On Expanding Abbreviated Identifiers in the Source Code. | Hui Yang, Xiaobing Sun, Yucong Duan, Han Zhao, Bin Li |
| 2016 | SNPD | Exploring topic models in software engineering data analysis: A survey. | Xiaobing Sun, Xiangyue Liu, Bin Li, Yucong Duan, Hui Yang, Jiajun Hu |
| 2015 | EASE | Analyzing program readability based on WordNet. | Yangchao Liu, Xiaobing Sun, Yucong Duan |
| 2015 | SNPD | Various "aaS" of everything as a service. | Yucong Duan, Yuan Cao, Xiaobing Sun |
| 2013 | ICSE | Exploring software engineering data with formal concept analysis. | Xiaobing Sun, Ying Chen, Bin Li, Bixin Li |
| 2013 | SAC | WAVE-CIA: a novel CIA approach based on call graph mining. | Bixin Li, Qiandong Zhang, Xiaobing Sun, Hareton Leung |
| 2012 | COMPSAC | A Change Proposal Driven Approach for Changeability Assessment Using FCA-Based Impact Analysis. | Xiaobing Sun, Bixin Li, Qiandong Zhang |
| 2012 | SEKE | Using FCA-based Change Impact Analysis for Regression Testing. | Xiaobing Sun, Bixin Li, Chuanqi Tao, Qiandong Zhang |
| 2012 | SEKE | Mining Call Graph for Change Impact Analysis. | Qiandong Zhang, Bixin Li, Xiaobing Sun |
| 2011 | SAC | A test suite reduction approach based on pairwise interaction of requirements. | Xiang Chen, Lijiu Zhang, Qing Gu, Haigang Zhao, Ziyuan Wang, Xiaobing Sun, Daoxu Chen |
| 2011 | SAC | Using lattice of class and method dependence for change impact analysis of object oriented programs. | Xiaobing Sun, Bixin Li, Sai Zhang, Chuanqi Tao, Xiang Chen, Wanzhi Wen |
| 2011 | SEKE | Program slicing spectrum-based software fault localization. | Wanzhi Wen, Bixin Li, Xiaobing Sun, Jiakai Li |
| 2010 | APSEC | A Hierarchical Model for Regression Test Selection and Cost Analysis of Java Programs. | Chuanqi Tao, Bixin Li, Xiaobing Sun, Ying Zhou |
| 2010 | COMPSAC | Change Impact Analysis Based on a Taxonomy of Change Types. | Xiaobing Sun, Bixin Li, Chuanqi Tao, Wanzhi Wen, Sai Zhang |
| 2010 | COMPSAC | An Approach to Regression Test Selection Based on Hierarchical Slicing Technique. | Chuanqi Tao, Bixin Li, Xiaobing Sun, Chongfeng Zhang |
| 2004 | VDA | A new object-order volume-rendering algorithm based on two-step lookup tables. | Jiawan Zhang, Jizhou Sun, Zhigang Sun, Mingchu Li, Xiaobing Sun, Yan Liu |