PAID: Prioritizing app issues for developers by tracking user reviews over versions. - Cuiyun Gao 001; Baoxiang Wang 001; Pinjia He; Jieming Zhu; Yangfan Zhou; Michael R. Lyu (ISSRE, 2015)

SpyAware: Investigating the privacy leakage signatures in app execution traces. - Hui Xu 009; Yangfan Zhou; Cuiyun Gao 001; Yu Kang 006; Michael R. Lyu (ISSRE, 2015)

AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. - Cuiyun Gao 001; Hui Xu 009; Junjie Hu 001; Yangfan Zhou (SOSE, 2015)

Experience Report: Understanding Cross-Platform App Issues from User Reviews. - Yichuan Man; Cuiyun Gao 001; Michael R. Lyu; Jiuchun Jiang (ISSRE, 2016)

IntelliAd Understanding In-APP Ad Costs From Users Perspective. - Cuiyun Gao 001; Hui Xu 009; Yichuan Man; Yangfan Zhou; Michael R. Lyu (CoRR, 2016)

IntelliAd: assisting mobile app developers in measuring ad costs automatically. - Cuiyun Gao 001; Yichuan Man; Hui Xu 009; Jieming Zhu; Yangfan Zhou; Michael R. Lyu (ICSE (Companion Volume), 2017)

Detecting Duplicate Bug Reports with Convolutional Neural Networks. - Qi Xie; Zhiyuan Wen; Jieming Zhu; Cuiyun Gao 001; Zibin Zheng (APSEC, 2018)

Topic Memory Networks for Short Text Classification. - Jichuan Zeng; Jing Li 049; Yan Song 003; Cuiyun Gao 001; Michael R. Lyu; Irwin King (EMNLP, 2018)

Online app review analysis for identifying emerging issues. - Cuiyun Gao 001; Jichuan Zeng; Michael R. Lyu; Irwin King (ICSE, 2018)

Exploring the effects of ad schemes on the performance cost of mobile phones. - Cuiyun Gao 001; Jichuan Zeng; Federica Sarro; Michael R. Lyu; Irwin King (A-Mobile@ASE, 2018)

INFAR: insight extraction from app reviews. - Cuiyun Gao 001; Jichuan Zeng; David Lo 001; Chin-Yew Lin; Michael R. Lyu; Irwin King (ESEC/SIGSOFT FSE, 2018)

An Online Topic Modeling Framework with Topics Automatically Labeled. - Fenglei Jin; Cuiyun Gao 001; Michael R. Lyu (WNLP@ACL, 2019)

Emerging app issue identification from user feedback: experience on WeChat. - Cuiyun Gao 001; Wujie Zheng; Yuetang Deng; David Lo 001; Jichuan Zeng; Michael R. Lyu; Irwin King (ICSE (SEIP), 2019)

An Empirical Study of Common Challenges in Developing Deep Learning Applications. - Tianyi Zhang 001; Cuiyun Gao 001; Lei Ma 003; Michael R. Lyu; Miryung Kim (ISSRE, 2019)

Automating App Review Response Generation. - Cuiyun Gao 001; Jichuan Zeng; Xin Xia 001; David Lo 001; Michael R. Lyu; Irwin King (ASE, 2019)

AC-Net: Assessing the Consistency of Description and Permission in Android Apps. - Yinglan Feng; Liang Chen 001; Angyu Zheng; Cuiyun Gao 001; Zibin Zheng (IEEE Access, 2019)

What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. - Jichuan Zeng; Jing Li 049; Yulan He 001; Cuiyun Gao 001; Michael R. Lyu; Irwin King (Trans. Assoc. Comput. Linguistics, 2019)

CORE: Automating Review Recommendation for Code Changes. - Jing Kai Siow; Cuiyun Gao 001; Lingling Fan 003; Sen Chen 001; Yang Liu 003 (SANER, 2020)

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. - Jichuan Zeng; Jing Li 049; Yulan He 001; Cuiyun Gao 001; Michael R. Lyu; Irwin King (WWW, 2020)

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. - Bozhi Wu; Sen Chen 001; Cuiyun Gao 001; Lingling Fan 003; Yang Liu 003; Weiping Wen; Michael R. Lyu (CoRR, 2020)

On the Replicability and Reproducibility of Deep Learning in Software Engineering. - Chao Liu 014; Cuiyun Gao 001; Xin Xia 001; David Lo 001; John C. Grundy; Xiaohu Yang 001 (CoRR, 2020)

Contextualized Code Representation Learning for Commit Message Generation. - Lun Yiu Nie; Cuiyun Gao 001; Zhicong Zhong; Wai Lam; Yang Liu 003; Zenglin Xu (CoRR, 2020)

A Deep Dive on the Impact of COVID-19 in Software Development. - Paulo Anselmo da Mota Silveira Neto; Umme Ayda Mannan; Eduardo Santana de Almeida; Nachiappan Nagappan; David Lo 001; Pavneet Singh Kochhar; Cuiyun Gao 001; Iftekhar Ahmed 001 (CoRR, 2020)

An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. - Cuiyun Gao 001; Jichuan Zeng; David Lo 001; Xin Xia 001; Irwin King; Michael R. Lyu (CoRR, 2020)

Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps. - Sen Chen 001; Lingling Fan 003; Cuiyun Gao 001; Fu Song; Yang Liu 003 (ISSRE, 2021)

TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. - Tianyi Yang; Cuiyun Gao 001; Jingya Zang; David Lo 001; Michael R. Lyu (WWW (Companion Volume), 2021)

Code Structure Guided Transformer for Source Code Summarization. - Shuzheng Gao; Cuiyun Gao 001; Yulan He 001; Jichuan Zeng; Lunyiu Nie; Xin Xia 001 (CoRR, 2021)

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. - Yun Peng 003; Zongjie Li; Cuiyun Gao 001; Bowei Gao; David Lo 001; Michael R. Lyu (CoRR, 2021)

Enriching Query Semantics for Code Search with Reinforcement Learning. - Chaozheng Wang; Zhenghao Nong; Cuiyun Gao 001; Zongjie Li; Jichuan Zeng; Zhenchang Xing; Yang Liu 003 (CoRR, 2021)

Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. - Langzhang Liang; Cuiyun Gao 001; Shiyi Chen; Shishi Duan; Yu Pan 005; Junjin Zheng; Lei Wang; Zenglin Xu (CoRR, 2021)

CoreGen: Contextualized Code Representation Learning for Commit Message Generation. - Lun Yiu Nie; Cuiyun Gao 001; Zhicong Zhong; Wai Lam; Yang Liu 003; Zenglin Xu (Neurocomputing, 2021)

Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. - Cuiyun Gao 001; Jichuan Zeng; Federica Sarro; David Lo 001; Irwin King; Michael R. Lyu (Inf. Softw. Technol., 2021)

CRaDLe: Deep code retrieval based on semantic Dependency Learning. - Wenchao Gu; Zongjie Li; Cuiyun Gao 001; Chaozheng Wang; Hongyu Zhang 002; Zenglin Xu; Michael R. Lyu (Neural Networks, 2021)

Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation. - Bozhi Wu; Sen Chen 001; Cuiyun Gao 001; Lingling Fan 003; Yang Liu 003; Weiping Wen; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2021)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2021)

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. - Siyu Tang; Heyan Chai 001; Ziyi Yao; Ye Ding; Cuiyun Gao 001; Binxing Fang; Qing Liao 001 (EMNLP, 2022)

Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. - Yun Peng 003; Cuiyun Gao 001; Zongjie Li; Bowei Gao; David Lo 001; Qirun Zhang; Michael R. Lyu (ICSE, 2022)

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (ESEC/SIGSOFT FSE, 2022)

Source Code Summarization with Structural Relative Position Guided Transformer. - Zi Gong; Cuiyun Gao 001; Yasheng Wang; Wenchao Gu; Yun Peng 003; Zenglin Xu (SANER, 2022)

Generating Tips from Song Reviews: A New Dataset and Framework. - Jingya Zang; Cuiyun Gao 001; Yupan Chen; Ruifeng Xu 001; Lanjun Zhou; Xuan Wang 002 (CoRR, 2022)

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. - Yaoxian Li; Shiyi Qi; Cuiyun Gao 001; Yun Peng 003; David Lo 001; Zenglin Xu; Michael R. Lyu (CoRR, 2022)

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001 (CoRR, 2022)

CCTEST: Testing and Repairing Code Completion Systems. - Zongjie Li; Chaozheng Wang; Zhibo Liu; Haoxuan Wang; Shuai Wang 011; Cuiyun Gao 001 (CoRR, 2022)

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. - Xinni Zhang; Yankai Chen 001; Cuiyun Gao 001; Qing Liao 001; Shenglin Zhao; Irwin King (CoRR, 2022)

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. - Yuanhang Yang; Shiyi Qi; Cuiyun Gao 001; Zenglin Xu; Yulan He 001; Qifan Wang 001; Chuanyi Liu (CoRR, 2022)

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. - Cuiyun Gao 001; Yaoxian Li; Shuhan Qi; Yang Liu 245; Xuan Wang 002; Zibin Zheng; Qing Liao 001 (CoRR, 2022)

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. - Zi Gong; Yinpeng Guo; Pingyi Zhou; Cuiyun Gao 001; Yasheng Wang; Zenglin Xu (CoRR, 2022)

Opportunities and Challenges in Code Search Tools. - Chao Liu 014; Xin Xia 001; David Lo 001; Cuiyun Gao 001; Xiaohu Yang 001; John C. Grundy (ACM Comput. Surv., 2022)

Understanding in-app advertising issues based on large scale app review analysis. - Cuiyun Gao 001; Jichuan Zeng; David Lo 001; Xin Xia 001; Irwin King; Michael R. Lyu (Inf. Softw. Technol., 2022)

Enriching query semantics for code search with reinforcement learning. - Chaozheng Wang; Zhenhao Nong; Cuiyun Gao 001; Zongjie Li; Jichuan Zeng; Zhenchang Xing; Yang Liu 003 (Neural Networks, 2022)

Automating App Review Response Generation Based on Contextual Knowledge. - Cuiyun Gao 001; Wenjie Zhou; Xin Xia 001; David Lo 001; Qi Xie; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2022)

On the Reproducibility and Replicability of Deep Learning in Software Engineering. - Chao Liu 014; Cuiyun Gao 001; Xin Xia 001; David Lo 001; John C. Grundy; Xiaohu Yang 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. - Cuiyun Gao 001; Jichuan Zeng; Zhiyuan Wen; David Lo 001; Xin Xia 001; Irwin King; Michael R. Lyu (IEEE Trans. Software Eng., 2022)

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. - Shangqing Liu; Cuiyun Gao 001; Sen Chen 001; Lun Yiu Nie; Yang Liu 003 (IEEE Trans. Software Eng., 2022)

A Deep Dive into the Impact of COVID-19 on Software Development. - Paulo Anselmo da Mota Silveira Neto; Umme Ayda Mannan; Eduardo Santana de Almeida; Nachiappan Nagappan; David Lo 001; Pavneet Singh Kochhar; Cuiyun Gao 001; Iftekhar Ahmed 001 (IEEE Trans. Software Eng., 2022)

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. - Zongjie Li; Chaozheng Wang; Shuai Wang 011; Cuiyun Gao 001 (CCS, 2023)

Software Vulnerability Detection with GPT and In-Context Learning. - Zhihong Liu; Qing Liao 001; Wenchao Gu; Cuiyun Gao 001 (DSC, 2023)

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. - Yuanhang Yang; Shiyi Qi; Chuanyi Liu; Qifan Wang 001; Cuiyun Gao 001; Zenglin Xu (EMNLP, 2023)

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001; Yue Yu 001 (ICSE, 2023)

Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. - Shuzheng Gao; Hongyu Zhang 002; Cuiyun Gao 001; Chaozheng Wang (ICSE, 2023)

CCTEST: Testing and Repairing Code Completion Systems. - Zongjie Li; Chaozheng Wang; Zhibo Liu; Haoxuan Wang; Dong Chen; Shuai Wang 011; Cuiyun Gao 001 (ICSE, 2023)

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. - Xin-Cheng Wen; Yupan Chen; Cuiyun Gao 001; Hongyu Zhang 002; Jie M. Zhang; Qing Liao 001 (ICSE, 2023)

MocGCL: Molecular Graph Contrastive Learning via Negative Selection. - Jinhao Cui; Heyan Chai 001; Yanbin Gong; Ye Ding; Zhongyun Hua; Cuiyun Gao 001; Qing Liao 001 (IJCNN, 2023)

What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications. - Linlin Li; Ruifeng Wang; Xian Zhan; Ying Wang 038; Cuiyun Gao 001; Sinan Wang; Yepang Liu 001 (ISSTA, 2023)

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? - Shuzheng Gao; Xin-Cheng Wen; Cuiyun Gao 001; Wenxuan Wang 001; Hongyu Zhang 002; Michael R. Lyu (ASE, 2023)

Generative Type Inference for Python. - Yun Peng 003; Chaozheng Wang; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. - Chaozheng Wang; Zongjie Li; Yun Peng 003; Shuzheng Gao; Sirong Chen; Shuai Wang 011; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection. - Xin-Cheng Wen; Xinchen Wang; Cuiyun Gao 001; Shaohua Wang 002; Yang Liu 003; Zhaoquan Gu (ASE, 2023)

How Practitioners Expect Code Completion? - Chaozheng Wang; Junhao Hu; Cuiyun Gao 001; Yu Jin; Tao Xie 001; Hailiang Huang; Zhenyu Lei; Yuetang Deng (ESEC/SIGSOFT FSE, 2023)

A Unified Framework for Mini-game Testing: Experience on WeChat. - Chaozheng Wang; Haochuan Lu; Cuiyun Gao 001; Zongjie Li; Ting Xiong; Yuetang Deng (ESEC/SIGSOFT FSE, 2023)

Practitioners' Expectations on Code Completion. - Chaozheng Wang; Junhao Hu; Cuiyun Gao 001; Yu Jin; Tao Xie 001; Hailiang Huang; Zhenyu Lei; Yuetang Deng (CoRR, 2023)

Deep Learning Based Code Generation Methods: A Literature Review. - Zezhou Yang; Sirong Chen; Cuiyun Gao 001; Zhenhao Li 002; Ge Li 001; Rongcong Lv (CoRR, 2023)

On the Feasibility of Specialized Ability Extracting for Large Language Code Models. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001 (CoRR, 2023)

Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study. - Shuzheng Gao; Xin-Cheng Wen; Cuiyun Gao 001; Wenxuan Wang 001; Michael R. Lyu (CoRR, 2023)

BadCS: A Backdoor Attack Framework for Code search. - Shiyi Qi; Yuanhang Yang; Shuzheng Gao; Cuiyun Gao 001; Zenglin Xu (CoRR, 2023)

Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives. - Shuqing Li 001; Lili Wei 001; Yepang Liu 001; Cuiyun Gao 001; Shing-Chi Cheung; Michael R. Lyu (CoRR, 2023)

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (CoRR, 2023)

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. - Zongjie Li; Chaozheng Wang; Chaowei Liu; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001 (CoRR, 2023)

A transformer-based approach for improving app review response generation. - Weizhe Zhang; Wenchao Gu; Cuiyun Gao 001; Michael R. Lyu (Softw. Pract. Exp., 2023)

API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. - Yujia Chen; Cuiyun Gao 001; Xiaoxue Ren; Yun Peng 003; Xin Xia 001; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

Code Structure-Guided Transformer for Source Code Summarization. - Shuzheng Gao; Cuiyun Gao 001; Yulan He 001; Jichuan Zeng; Lunyiu Nie; Xin Xia 001; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2023)

Learning to Generate Tips from Song Reviews. - Jingya Zang; Cuiyun Gao 001; Yupan Chen; Ruifeng Xu 001; Lanjun Zhou; Xuan Wang 002 (Neural Networks, 2023)

HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems. - Jiezhu Cheng; Cuiyun Gao 001; Zibin Zheng (ACM Trans. Softw. Eng. Methodol., 2023)

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit. - Shiyi Qi; Yaoxian Li; Cuiyun Gao 001; Xiaohong Su; Shuzheng Gao; Zibin Zheng; Chuanyi Liu (IEEE Trans. Reliab., 2023)

Persistent graph stream summarization for real-time graph analytics. - Yan Jia 001; Zhaoquan Gu; Zhihao Jiang; Cuiyun Gao 001; Jianye Yang 001 (World Wide Web (WWW), 2023)

Dialog summarization for software collaborative platform via tuning pre-trained models. - Guodong Fan; Shizhan Chen; Hongyue Wu; Cuiyun Gao 001; Jianmao Xiao; Xiao Xue 001; Zhiyong Feng 002 (J. Syst. Softw., 2023)

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. - Yun Peng 003; Shuqing Li 001; Wenwei Gu; Yichen Li 003; Wenxuan Wang 001; Cuiyun Gao 001; Michael R. Lyu (Zenodo, 2023)

Prompt Tuning in Code Intelligence: An Experimental Evaluation. - Chaozheng Wang; Yuanhang Yang; Cuiyun Gao 001; Yun Peng 003; Hongyu Zhang 002; Michael R. Lyu (IEEE Trans. Software Eng., 2023)

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. - Cuiyun Gao 001; Yaoxian Li; Shuhan Qi; Yang Liu 039; Xuan Wang 002; Zibin Zheng; Qing Liao 001 (IEEE Trans. Reliab., 2023)

Message from the ES-GBA 2024 Chairs: Organizing Committee. - Rui Mao 001; Tao Zhang 001; Zibin Zheng; Cuiyun Gao 001 (SSE, 2024)

Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement. - Wenxin Mao; Ruiqi Wang; Jiyu Guo; Jichuan Zeng; Cuiyun Gao 001; Peiyi Han; Chuanyi Liu (ACL (Findings), 2024)

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. - Yuanhang Yang; Shiyi Qi; Wenchao Gu; Chaozheng Wang; Cuiyun Gao 001; Zenglin Xu (ACL (Findings), 2024)

Split and Merge: Aligning Position Biases in LLM-based Evaluators. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011; Cuiyun Gao 001; Yang Liu 003 (EMNLP, 2024)

Code Search is All You Need? Improving Code Suggestions with Code Search. - Junkai Chen; Xing Hu 008; Zhenhao Li 002; Cuiyun Gao 001; Xin Xia 001; David Lo 001 (ICSE, 2024)

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. - Shuzheng Gao; Wenxin Mao; Cuiyun Gao 001; Li Li 029; Xing Hu 008; Xin Xia 001; Michael R. Lyu (ICSE, 2024)

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. - Zongjie Li; Chaozheng Wang; Pingchuan Ma 004; Chaowei Liu; Shuai Wang 011; Daoyuan Wu; Cuiyun Gao 001; Yang Liu 003 (ICSE, 2024)

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. - Yun Peng 003; Shuzheng Gao; Cuiyun Gao 001; Yintong Huo; Michael R. Lyu (ICSE, 2024)

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. - Yun Peng 003; Ruida Hu; Ruoke Wang; Cuiyun Gao 001; Shuqing Li 001; Michael R. Lyu (ICSE, 2024)

ReposVul: A Repository-Level High-Quality Vulnerability Dataset. - Xinchen Wang; Ruida Hu; Cuiyun Gao 001; Xin-Cheng Wen; Yujia Chen; Qing Liao 001 (ICSE Companion, 2024)

Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. - Yujia Chen; Cuiyun Gao 001; Zezhou Yang; Hongyu Zhang 002; Qing Liao 001 (ISSTA, 2024)

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. - Xin-Cheng Wen; Cuiyun Gao 001; Shuzheng Gao; Yang Xiao 011; Michael R. Lyu (ISSTA, 2024)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. - Jia Feng; Jiachen Liu; Cuiyun Gao 001; Chun Yong Chong; Chaozheng Wang; Shan Gao; Xin Xia 001 (ASE, 2024)

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. - Chaozheng Wang; Shuzheng Gao; Cuiyun Gao 001; Wenxuan Wang 001; Chun Yong Chong; Shan Gao; Michael R. Lyu (ASE, 2024)

APIGen: Generative API Method Recommendation. - Yujia Chen; Cuiyun Gao 001; Muyijie Zhu; Qing Liao 001; Yong Wang; Guoai Xu (SANER, 2024)

The Vulnerability Is in the Details: Locating Fine-grained Information of Vulnerable Code Identified by Graph-based Detectors. - Baijun Cheng; Kailong Wang 001; Cuiyun Gao 001; Xiapu Luo; Li Li 029; Yao Guo 001; Xiangqun Chen; Haoyu Wang 001 (CoRR, 2024)

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning. - Xin-Cheng Wen; Cuiyun Gao 001; Xinchen Wang; Ruiqi Wang; Tao Zhang 001; Qing Liao 001 (CoRR, 2024)

A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities. - Xinchen Wang; Ruida Hu; Cuiyun Gao 001; Xin-Cheng Wen; Yujia Chen; Qing Liao 001 (CoRR, 2024)

Enhancing Efficiency in Sparse Models with Sparser Selection. - Yuanhang Yang; Shiyi Qi; Wenchao Gu; Chaozheng Wang; Cuiyun Gao 001; Zenglin Xu (CoRR, 2024)

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection. - Xin-Cheng Wen; Xinchen Wang; Yujia Chen; Ruida Hu; David Lo 001; Cuiyun Gao 001 (CoRR, 2024)

Exploring Multi-Lingual Bias of Large Code Models in Code Generation. - Chaozheng Wang; Zongjie Li; Cuiyun Gao 001; Wenxuan Wang 001; Ting Peng; Hailiang Huang; Yuetang Deng; Shuai Wang 011; Michael R. Lyu (CoRR, 2024)

Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey. - Thiago S. Vaillant; Felipe Deveza de Almeida; Paulo Anselmo da Mota Silveira Neto; Cuiyun Gao 001; Jan Bosch; Eduardo Santana de Almeida (CoRR, 2024)

A Survey on Modern Code Review: Progresses, Challenges and Opportunities. - Zezhou Yang; Cuiyun Gao 001; Zhaoqiang Guo; Zhenhao Li 002; Kui Liu 001; Xin Xia 001; Yuming Zhou (CoRR, 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; Michael R. Lyu (CoRR, 2024)

RepoMasterEval: Evaluating Code Completion via Real-World Repositories. - Qinyun Wu; Chao Peng 002; Pengfei Gao; Ruida Hu; Haoyu Gan; Bo Jiang; Jinhe Tang; Zhiwen Deng; Zhanming Guan; Cuiyun Gao 001; Xia Liu; Ping Yang (CoRR, 2024)

Context-Dependent Interactable Graphical User Interface Element Detection for Spatial Computing Applications. - Shuqing Li 001; Binchang Li; Yepang Liu 001; Cuiyun Gao 001; Jianping Zhang 002; Shing-Chi Cheung; Michael R. Lyu (CoRR, 2024)

AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions. - Xinchen Wang; Pengfei Gao; Xiangxin Meng; Chao Peng 002; Ruida Hu; Yun Lin 001; Cuiyun Gao 001 (CoRR, 2024)

A Real-World Benchmark for Evaluating Fine-Grained Issue Solving Capabilities of Large Language Models. - Ruida Hu; Chao Peng 002; Jingyi Ren; Bo Jiang; Xiangxin Meng; Qinyun Wu; Pengfei Gao; Xinchen Wang; Cuiyun Gao 001 (CoRR, 2024)

XRZoo: A Large-Scale and Versatile Dataset of Extended Reality (XR) Applications. - Shuqing Li 001; Chenran Zhang; Cuiyun Gao 001; Michael R. Lyu (CoRR, 2024)

CodeRepoQA: A Large-scale Benchmark for Software Engineering Question Answering. - Ruida Hu; Chao Peng 002; Jingyi Ren; Bo Jiang; Xiangxin Meng; Qinyun Wu; Pengfei Gao; Xinchen Wang; Cuiyun Gao 001 (CoRR, 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. - Yuanhang Yang; Wei He 024; Cuiyun Gao 001; Zenglin Xu; Xin Xia 001; Chuanyi Liu (ACM Trans. Softw. Eng. Methodol., 2024)

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection. - Xin-Cheng Wen; Cuiyun Gao 001; Jiaxin Ye; Yichen Li 003; Zhihong Tian; Yan Jia 001; Xuan Wang 002 (IEEE Trans. Software Eng., 2024)

Open World Intrusion Detection: An Open Set Recognition Method for CAN Bus in Intelligent Connected Vehicles. - Lei Du; Zhaoquan Gu; Ye Wang 015; Cuiyun Gao 001 (IEEE Netw., 2024)

Label-Aware Distribution Calibration for Long-Tailed Classification. - Chaozheng Wang; Shuzheng Gao; Pengyun Wang; Cuiyun Gao 001; Wenjie Pei; Lujia Pan; Zenglin Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

RAPID: Zero-Shot Domain Adaptation for Code Search with Pre-Trained Models. - Guodong Fan; Shizhan Chen; Cuiyun Gao 001; Jianmao Xiao; Tao Zhang 001; Zhiyong Feng 002 (ACM Trans. Softw. Eng. Methodol., 2024)

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. - Xin-Cheng Wen; Cuiyun Gao 001; Feng Luo; Haoyu Wang 001; Ge Li 001; Qing Liao 001 (IEEE Trans. Software Eng., 2024)

Meta-Learning for Multi-Family Android Malware Classification. - Yao Li 017; Dawei Yuan; Tao Zhang 001; Haipeng Cai; David Lo 001; Cuiyun Gao 001; Xiapu Luo; He Jiang 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization. - Linyong Wang; Lianwei Wu; Shaoqi Song; Yaxiong Wang; Cuiyun Gao 001; Kang Wang (AAAI, 2025)

Search-Based LLMs for Code Optimization. - Shuzheng Gao; Cuiyun Gao 001; Wenchao Gu; Michael R. Lyu (ICSE, 2025)

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection. - Xin-Cheng Wen; Zirui Lin; Cuiyun Gao 001; Hongyu Zhang 002; Yong Wang; Qing Liao 001 (ICSE, 2025)

Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark. - Ruida Hu; Chao Peng 002; Jingyi Ren; Bo Jiang; Xiangxin Meng; Qinyun Wu; Pengfei Gao; Xinchen Wang; Cuiyun Gao 001 (SIGIR, 2025)

AEGIS: An Agent-based Framework for Bug Reproduction from Issue Descriptions. - Xinchen Wang; Pengfei Gao; Xiangxin Meng; Chao Peng 002; Ruida Hu; Yun Lin 001; Cuiyun Gao 001 (SIGSOFT FSE Companion, 2025)

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry. - Chaozheng Wang; Zezhou Yang; Shuzheng Gao; Cuiyun Gao 001; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

Improving long-tail classification via decoupling and regularisation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Wenjian Luo; Peiyi Han; Qing Liao 001; Guandong Xu (CAAI Trans. Intell. Technol., 2025)

Maximal η-clique maintenance over uncertain graph streams. - Ziyi Ma; Liqing Wang; Jianye Yang 001; Xu Zhou 001; Kenli Li 001; Cuiyun Gao 001 (Inf. Sci., 2025)

Smaller but Better: Self-Paced Knowledge Distillation for Lightweight yet Effective LCMs. - Yujia Chen; Yang Ye; Zhongqi Li; Yuchi Ma; Cuiyun Gao 001 (Proc. ACM Softw. Eng., 2025)

Extended Reality Cybersickness Assessment via User Review Analysis. - Shuqing Li 001; Qisheng Zheng; Cuiyun Gao 001; Jia Feng; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning. - Chaozheng Wang; Jia Feng; Shuzheng Gao; Cuiyun Gao 001; Zongjie Li; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering. - Ruiqi Wang; Jiyu Guo; Cuiyun Gao 001; Guodong Fan; Chun Yong Chong; Xin Xia 001 (Proc. ACM Softw. Eng., 2025)

MLLM-Based UI2Code Automation Guided by UI Layout Information. - Fan Wu; Cuiyun Gao 001; Shuqing Li 001; Xin-Cheng Wen; Qing Liao 001 (Proc. ACM Softw. Eng., 2025)

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Xiaoqian Jiao; Chun Yong Chong; Shan Gao; Michael R. Lyu (CoRR, 2025)

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. - Zezhou Yang; Sirong Chen; Cuiyun Gao 001; Zhenhao Li 002; Xing Hu 008; Kui Liu 001; Xin Xia 001 (CoRR, 2025)

EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment. - Xin-Cheng Wen; Jiaxin Ye; Cuiyun Gao 001; Lianwei Wu; Qing Liao 001 (CoRR, 2025)

An LLM-based Agent for Reliable Docker Environment Configuration. - Ruida Hu; Chao Peng 002; Xinchen Wang; Cuiyun Gao 001 (CoRR, 2025)

Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities. - Yaoxian Li; Shiyi Qi; Cuiyun Gao 001; Yun Peng 003; David Lo 001; Michael R. Lyu; Zenglin Xu (IEEE Trans. Software Eng., 2025)

CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation. - Xinchen Wang; Pengfei Gao; Chao Peng 002; Ruida Hu; Cuiyun Gao 001 (CoRR, 2025)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models. - Zhanyue Qin; Yue Ding; Deyuan Liu; Qingbin Liu; Junxian Cai; Xi Chen 003; Zhiying Tu; Dianhui Chu; Cuiyun Gao 001; Dianbo Sui (CoRR, 2025)

The Current Challenges of Software Engineering in the Era of Large Language Models. - Cuiyun Gao 001; Xing Hu 008; Shan Gao; Xin Xia 001; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2025)

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat. - Zezhou Yang; Ting Peng; Cuiyun Gao 001; Chaozheng Wang; Hailiang Huang; Yuetang Deng (CoRR, 2025)

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling. - Pengfei Gao; Zhao Tian; Xiangxin Meng; Xinchen Wang; Ruida Hu; Yuanan Xiao; Yizhou Liu; Zhao Zhang; Junjie Chen; Cuiyun Gao 001; Yun Lin 001; Yingfei Xiong; et al. (CoRR, 2025)