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ICSE "Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors", Yun Peng, Shuzheng Gao, Cuiyun Gao*, Yintong Huo, Michael R. Lyu. The 46th International Conference on Software Engineering (ICSE 2024), to appear.
TSE "Prompt Tuning in Code Intelligence: An Experimental Evaluation", Chaozheng Wang, Yuanhang Yang, Cuiyun Gao*, Yun Peng, Hongyu Zhang, Michael R. Lyu. Transactions on Software Engineering, to appear.
FSE "How Practitioners Expect Code Completion?"Chaozheng Wang, Junhao Hu, Cuiyun Gao*, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023).
FSE-Industry "A Unified Framework for Mini-game Testing: Experience on WeChat", Chaozheng Wang, Haochuan Lu, Cuiyun Gao*, Li Zongjie, Ting Xiong, Yuetang Deng. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), Industry Track.
CCS "Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks", Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao. The ACM Conference on Computer and Communications Security (CCS 2023), to appear.
ASE-Challenge "REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes", Chaozheng Wang, Li Zongjie, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao*, Michael Lyu. The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Industry Challenge Track. Distinguished Paper Award
ASE "When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection", Xin-Cheng Wen, Xinchen Wang, Cuiyun Gao*, Shaohua Wang, Yang Liu, Zhaoquan Gu. The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).
ASE "What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?", Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao*, Wenxuan Wang, Hongyu Zhang, Michael Lyu. The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).
ASE "Generative Type Inference for Python", Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao*, Michael Lyu. The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). Distinguished Paper Award
JSS "Dialog Summarization for Software Collaborative Platform via Tuning Pre-trained Models", Guodong Fan, Shizhan Chen, Hongyue Wu, Cuiyun Gao*, Jianmao Xiao, Xiao Xue, Zhiyong Feng, to appear.
软件学报 "基于深度学习的代码生成方法研究进展", 杨泽洲, 陈思榕, 高翠芸*, 李振昊, 李戈, 吕荣聪. 软件学报, to appear.
TOSEM "TopicAns: Topic-Informed Architecture for Answer Recommendation on Technical Q&A Site", Yuanhang Yang, Wei He, Cuiyun Gao*, Zenglin Xu, Xin Xia, Chuanyi Liu. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear.
ISSTA "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, Cuiyun Gao, Sinan Wang, and Yepang Liu. 32th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), to appear.
TSE "API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning", Yujia Chen, Cuiyun Gao*, Xiaoxue Ren, Yun Peng, Xin Xia, and Michael R. Lyu. IEEE Transactions on Software Engineering (TSE), to appear.
ICSE "Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models", Shuzheng Gao, Hongyu Zhang, Cuiyun Gao*, Chaozheng Wang. The 45th International Conference on Software Engineering (ICSE).
ICSE "CCTEST: Testing and Repairing Code Completion Systems", Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao. The 45th International Conference on Software Engineering (ICSE).
ICSE "Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning", Xin-Cheng Wen, Yupan Chen, Cuiyun Gao*, Hongyu Zhang, Jie M Zhang, Qing Liao. The 45th International Conference on Software Engineering (ICSE).
ICSE "Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension", Shuzheng Gao, Cuiyun Gao*, Chaozheng Wang, Jun Sun, David Lo, Yue Yu. The 45th International Conference on Software Engineering (ICSE).
TOSEM "A Hypothesis Testing-Based Framework for Software Cross-Modal Retrieval in Heterogeneous Semantic Spaces", Hongwei Wei, Xiaohong Su, Cuiyun Gao, Weining Zheng, Wenxin Tao. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear.
NN "Learning to Generate Tips from Song Reviews", Jingya Zang, Cuiyun Gao*, Yupan Chen, Ruifeng Xu, Lanjun Zhou*, Xuan Wang. Neural Networks.
ACAIT "Improving Long-Tailed Classification Via Decoupling and Regularization", Shuzheng Gao, Chaozheng Wang, Cuiyun Gao*, Wenjian Luo, Peiyi Han and Qing Liao. The 6th Asian Conference on Artificial Intelligence Technology (ACAIT), to appear. Best Student Paper
TR "Listening to Users‘ Voice: Automatic Summarization of Helpful App Reviews", Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao. Transactions on Reliability (TR).
QRS "Parameter Description Generation with the Code Parameter Flow", Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao, Min Wang, and Zhao Wei. The 22nd IEEE International Conference on Software Quality, Reliability, and Security (QRS), to appear.
EMNLP "Affective knowledge enhanced multiple-graph fusion networks for aspect-based sentiment analysis", Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang and Qing Liao. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), to appear.
TNNLS "Label-Aware distribution calibration for long-tailed classification", Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao*, Wenjie Pei, Lujia Pan, Zenglin Xu. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), to appear.
SPE "A Transformer-based approach for improving app review response generation", Weizhe Zhang, Wenchao Gu, Cuiyun Gao*, Michael R. Lyu. Software: Practice and Experience (SPE), to appear.
TSE "Revisiting, Benchmarking and exploring API recommendation: How far are we?", Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao*, Michael Lyu. IEEE Transactions on Software Engineering (TSE), to appear.
TR "Dynamically relative position encoding-based Transformer for automatic code edit", Shiyi Qi, Yaoxian Li, Cuiyun Gao*, Xiaohong Su, Shuzheng Gao, Zibin Zheng, and Chuanyi Liu. IEEE Transactions on Reliability (TR), to appear.
FSE "No more fine-tuning? An experimental evaluation of prompt tuning in code intelligence", Chaozheng Wang, Yuanhang Yang, Cuiyun Gao*, Yun Peng, Hongyu Zhang, Michael R. Lyu. 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), to appear.
TOSEM "HINNPerf: Hierarchical interaction neural network for performance prediction of configurable systems", Jiezhu Cheng, Cuiyun Gao, Zibin Zheng. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear.
TOSEM "Code structure guided Transformer for source code summarization", Shuzheng Gao, Cuiyun Gao*, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia, Michael R. Lyu. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear.
SANER "Source code summarization with structural relative position guided Transformer", Zi Gong, Cuiyun Gao*, Yasheng Wang, Wenchao Gu, Yun Peng and Zenglin Xu. The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022.
Neural Networks "Enriching query semantics for code search with reinforcement learning", Chaozheng Wang, Zhenhao Nong, Cuiyun Gao*, Zongjie Li, Jichuan Zeng, Zhenchang Xing, and Yang Liu, Neural Networks, to appear.
IST "Understanding in-app advertising issues based on large scale app review analysis", Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R Lyu. Information and Software Technology (IST)
ICSE "Static inference meets deep learning: A hybrid type inference approach for Python", Yun Peng, Cuiyun Gao*, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, and Michael Lyu. The 44th International Conference on Software Engineering (ICSE), 2022. Distinguished Paper Award Nomination
ISSRE "Peeking into the gray area of mobile world: An empirical study of unlabeled android apps", Sen Chen, Lingling Fan, Cuiyun Gao, Fu Song, and Yang Liu. The 32nd International Symposium on Software Reliability Engineering (ISSRE), 2021.
CSUR "Opportunities and challenges in code search tools", Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John Grundy. ACM Computing Survey, to appear.
TOSEM "On the replicability and reproducibility of deep learning in software engineering", Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, and Xiaohu Yang. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear.
TSE "A deep dive into the impact of COVID-19 on software development", Paulo Silveira, Umme Ayda Mannan, Eduardo Almeida, Nachi Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed. IEEE Transactions on Software Engineering (TSE), to appear.
TSE "Emerging app issue identification via online joint sentiment-topic tracing", Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, and Michael R. Lyu. IEEE Transactions on Software Engineering (TSE), to appear. code data
TOSEM "Automating app review response generation based on contextual knowledge", Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, and Michael R. Lyu. ACM Transactions on Software Engineering and Methodology (TOSEM), to appear. code data
Neurocomputing "CoreGen: Contextualized Code Representation Learning for Commit Message Generation", Lun Yiu Nie, Cuiyun Gao*, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu. Neurocomputing.
Neural Networks "CRaDLe: Deep code retrieval based on semantic dependency learning", Wenchao Gu, Zongjie Li, Cuiyun Gao*, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, and Michael R. Lyu. Neural Networks, to appear.
WWW-Demo "TOUR: Dynamic topic and sentiment analysis of user reviews for assisting app release", Tianyi Yang, Cuiyun Gao*, Jingya Zang, David Lo, and Michael R. Lyu. The Web Conference 2021 (WWW)-Demo track, to appear. code
IST "Do users care about ad’s performance costs? Exploring the effects of the performance costs of in-app ads on user experience", Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, and Michael R. Lyu. Information and Software Technology (IST).
TOSEM "Why an Android app is classified as malware: Toward malware classification interpretation", Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, and Michael R Lyu. ACM Transactions on Software Engineering and Methodology (TOSEM).
TSE"ATOM: Commit message generation based on abstract syntax tree and hybrid ranking", Shangqing Liu, Cuiyun Gao*, Sen Chen, Nie Lun Yiu, Yang Liu. IEEE Transactions on Software Engineering (TSE). code data
WWW"What changed your mind: The roles of dynamic topics and discourse in argumentation process", Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao*, Michael R. Lyu, and Irwin king. The Web Conference 2020 (WWW).
SANER"CORE: Automating review recommendation for code changes", Jing Kai Siow, Cuiyun Gao*, Lingling Fan, Sen Chen, ang Yang Liu. The 27th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020.
ASE"Automating app review response generation", Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, and Irwing King. The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019. code data
ISSRE"An empirical study of common challenges in developing deep learning applications", Tianyi Zhang#, Cuiyun Gao#, Lei Ma, Michael R. Lyu, and Miryung Kim. The 30th International Symposium on Software Reliability Engineering (ISSRE), 2019. (# means the first authors contribute equally to the work.) code
TACL"What you say and how you say it: Joint modeling of topics and discourse in microblog conversations", Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King. Transactions of the Association for Computational Linguistics (TACL), 2019. (Orally presented in ACL'19) code
ICSE-SEIP"Emerging app issue identification from user feedback: Experience on WeChat", Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, and Irwin King. The 40th International Conference on Software Engineering (ICSE), SEIP track, 2019.
APSEC"Detecting duplicate bug reports with convolutional neural network", Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, and Zibin Zheng. The 25th Asia-Pacific Software Engineering Conference (APSEC), 2018.
EMNLP"Topic memory networks for short text classification", Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, and Irwin King. The 28th International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. code
FSE-Demo"INFAR: Insight extraction from app reviews", Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, and Irwin King. The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), demo track, 2018.
ICSE"Online app review analysis for identifying emerging issues", Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, and Irwin King. The 40th International Conference on Software Engineering (ICSE), 2018. code
ISSRE"Experience report: Understanding cross-platform app issues from user reviews", Yichuan Man, Cuiyun Gao, Michael R. Lyu, and Jiuchun Jiang. The 27th International Symposium on Software Reliability Engineering (ISSRE), 2016.
ISSRE"PAID: Prioritizing app issues for developers by tracking user reviews over versions", Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, and Michael R. Lyu. The 26th International Symposium on Software Reliability Engineering (ISSRE), 2015.
ISSRE"SpyAware: Investigating the privacy leakage signatures in app execution traces", Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, and Michael R. Lyu. The 26th International Symposium on Software Reliability Engineering (ISSRE), 2015.
SOSE"AR-TRacker: Track the dynamics of mobile apps via user review mining", Cuiyun Gao, Hui Xu, Junjie Hu, and Yangfan Zhou. The Symposium on Service-Oriented System Engineering (SOSE), 2015.
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