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Cuiyun Gao

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2024
[j37]
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Yong Wang, Linjun Chen, Cuiyun Gao, Yingtao Fang, Yong Li:
Prompt enhance API recommendation: visualize the user's real intention behind this query. Autom. Softw. Eng. 31(1): 27 (2024)
[j36]
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Lei Du, Zhaoquan Gu, Ye Wang, Cuiyun Gao:
Open World Intrusion Detection: An Open Set Recognition Method for CAN Bus in Intelligent Connected Vehicles. IEEE Netw. 38(3): 76-82 (2024)
[j35]
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Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu:
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. Proc. ACM Softw. Eng. 1(FSE): 2167-2189 (2024)
[j34]
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Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-Tailed Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6963-6975 (2024)
[j33]
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Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu:
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33(1): 20:1-20:25 (2024)
[j32]
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Guodong Fan, Shizhan Chen, Cuiyun Gao, Jianmao Xiao, Tao Zhang, Zhiyong Feng:
RAPID: Zero-Shot Domain Adaptation for Code Search with Pre-Trained Models. ACM Trans. Softw. Eng. Methodol. 33(5): 128:1-128:35 (2024)
[j31]
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Yong Wang, Yingtao Fang, Cuiyun Gao, Linjun Chen:
API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap. IEEE Trans. Reliab. 73(3): 1473-1486 (2024)
[j30]
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Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang:
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection. IEEE Trans. Software Eng. 50(3): 360-375 (2024)
[j29]
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Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao:
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. IEEE Trans. Software Eng. 50(6): 1325-1339 (2024)
2023
[j28]
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Qingshan Liu, Cuiyun Gao, Yang Zhao, Songqun Huang, Yuqing Zhang, Xiaoyu Dong, Zhonghai Lu:
Health warning based on 3R ECG Sample's combined features and LSTM. Comput. Biol. Medicine 162: 107082 (2023)
[j27]
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Guodong Fan, Shizhan Chen, Hongyue Wu, Cuiyun Gao, Jianmao Xiao, Xiao Xue, Zhiyong Feng:
Dialog summarization for software collaborative platform via tuning pre-trained models. J. Syst. Softw. 204: 111763 (2023)
[j26]
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Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang:
Learning to Generate Tips from Song Reviews. Neural Networks 161: 746-756 (2023)
[j25]
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Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A transformer-based approach for improving app review response generation. Softw. Pract. Exp. 53(2): 438-454 (2023)
[j24]
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023)
[j23]
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Jiezhu Cheng, Cuiyun Gao, Zibin Zheng:
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems. ACM Trans. Softw. Eng. Methodol. 32(2): 46:1-46:30 (2023)
[j22]
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Hongwei Wei, Xiaohong Su, Cuiyun Gao, Weining Zheng, Wenxin Tao:
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces. ACM Trans. Softw. Eng. Methodol. 32(5): 123:1-123:28 (2023)
[j21]
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Shiyi Qi, Yaoxian Li, Cuiyun Gao, Xiaohong Su, Shuzheng Gao, Zibin Zheng, Chuanyi Liu:
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit. IEEE Trans. Reliab. 72(3): 1147-1160 (2023)
[j20]
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Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao:
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. IEEE Trans. Reliab. 72(4): 1619-1631 (2023)
[j19]
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? IEEE Trans. Software Eng. 49(4): 1876-1897 (2023)
[j18]
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Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49(5): 3289-3304 (2023)
[j17]
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
Prompt Tuning in Code Intelligence: An Experimental Evaluation. IEEE Trans. Software Eng. 49(11): 4869-4885 (2023)
[j16]
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Yan Jia, Zhaoquan Gu, Zhihao Jiang, Cuiyun Gao, Jianye Yang:
Persistent graph stream summarization for real-time graph analytics. World Wide Web (WWW) 26(5): 2647-2667 (2023)
2022
[j15]
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Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. 54(9): 196:1-196:40 (2022)
[j14]
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022)
[j13]
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Wan Zhou, Yong Wang, Cuiyun Gao, Fei Yang:
Emerging topic identification from app reviews via adaptive online biterm topic modeling. Frontiers Inf. Technol. Electron. Eng. 23(5): 678-691 (2022)
[j12]
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Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching query semantics for code search with reinforcement learning. Neural Networks 145: 22-32 (2022)
[j11]
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022)
[j10]
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Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. 31(1): 15:1-15:46 (2022)
[j9]
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Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu:
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. IEEE Trans. Software Eng. 48(5): 1800-1817 (2022)
[j8]
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022)
[j7]
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Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Trans. Software Eng. 48(9): 3342-3360 (2022)
2021
[j6]
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Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
CoreGen: Contextualized Code Representation Learning for Commit Message Generation. Neurocomputing 459: 97-107 (2021)
[j5]
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021)
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Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021)
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Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation. ACM Trans. Softw. Eng. Methodol. 30(2): 21:1-21:29 (2021)
2019
[j2]
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Yinglan Feng, Liang Chen, Angyu Zheng, Cuiyun Gao, Zibin Zheng:
AC-Net: Assessing the Consistency of Description and Permission in Android Apps. IEEE Access 7: 57829-57842 (2019)
[j1]
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Trans. Assoc. Comput. Linguistics 7: 267-281 (2019)

Conference and Workshop Papers

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2024
[c53]
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Rui Mao, Tao Zhang, Zibin Zheng, Cuiyun Gao:
Message from the ES-GBA 2024 Chairs: Organizing Committee. SSE 2024: xxii
[c52]
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Wenxin Mao, Ruiqi Wang, Jiyu Guo, Jichuan Zeng, Cuiyun Gao, Peiyi Han, Chuanyi Liu:
Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement. ACL (Findings) 2024: 2009-2024
[c51]
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Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu:
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. ACL (Findings) 2024: 11664-11674
[c50]
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Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. LREC/COLING 2024: 1690-1704
[c49]
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Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. ICSE 2024: 4:1-4:13
[c48]
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Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo:
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13
[c47]
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Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu:
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE 2024: 74:1-74:13
[c46]
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13
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Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu:
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. ICSE 2024: 202:1-202:12
[c44]
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Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang:
Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models. ICSE Companion 2024: 422-423
[c43]
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Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao:
ReposVul: A Repository-Level High-Quality Vulnerability Dataset. ICSE Companion 2024: 472-483
[c42]
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Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. ISSTA 2024: 235-247
[c41]
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Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. ISSTA 2024: 274-286
[c40]
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Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. SANER 2024: 171-182
2023
[c39]
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  - conf/ccs/LiWWG23
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Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao:
Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. CCS 2023: 2336-2350
[c38]
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Zhihong Liu, Qing Liao, Wenchao Gu, Cuiyun Gao:
Software Vulnerability Detection with GPT and In-Context Learning. DSC 2023: 229-236
[c37]
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Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP 2023: 2800-2806
[c36]
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Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang:
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. ICSE 2023: 30-42
[c35]
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Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. ICSE 2023: 1238-1250
[c34]
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Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu:
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. ICSE 2023: 1933-1945
[c33]
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Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. ICSE 2023: 2275-2286
[c32]
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Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao:
MocGCL: Molecular Graph Contrastive Learning via Negative Selection. IJCNN 2023: 1-8
[c31]
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  - conf/issta/LiWZ0GW023
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Linlin Li, Ruifeng Wang, Xian Zhan, Ying Wang, Cuiyun Gao, Sinan Wang, Yepang Liu:
What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications. ISSTA 2023: 538-550
[c30]
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Xin-Cheng Wen, Xinchen Wang, Cuiyun Gao, Shaohua Wang, Yang Liu, Zhaoquan Gu:
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection. ASE 2023: 345-357
[c29]
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Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu:
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? ASE 2023: 761-773
[c28]
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Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. ASE 2023: 988-999
[c27]
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Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE 2023: 1952-1962
[c26]
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Chaozheng Wang, Junhao Hu, Cuiyun Gao, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng:
How Practitioners Expect Code Completion? ESEC/SIGSOFT FSE 2023: 1294-1306
[c25]
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Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng:
A Unified Framework for Mini-game Testing: Experience on WeChat. ESEC/SIGSOFT FSE 2023: 1623-1634
2022
[c24]
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Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao:
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. EMNLP 2022: 5352-5362
[c23]
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Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030
[c22]
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Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao:
Parameter Description Generation with the Code Parameter Flow. QRS 2022: 884-895
[c21]
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. ESEC/SIGSOFT FSE 2022: 382-394
[c20]
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Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. SANER 2022: 13-24
2021
[c19]
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Sen Chen, Lingling Fan, Cuiyun Gao, Fu Song, Yang Liu:
Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps. ISSRE 2021: 579-590
[c18]
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  - conf/www/YangGZ0L21
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Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. WWW (Companion Volume) 2021: 708-712
2020
[c17]
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Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu:
CORE: Automating Review Recommendation for Code Changes. SANER 2020: 284-295
[c16]
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  - conf/www/Zeng0HGLK20
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513
2019
[c15]
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Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. WNLP@ACL 2019: 73-76
[c14]
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Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King:
Emerging app issue identification from user feedback: experience on WeChat. ICSE (SEIP) 2019: 279-288
[c13]
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Tianyi Zhang, Cuiyun Gao, Lei Ma, Michael R. Lyu, Miryung Kim:
An Empirical Study of Common Challenges in Developing Deep Learning Applications. ISSRE 2019: 104-115
[c12]
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. ASE 2019: 163-175
2018
[c11]
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Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, Zibin Zheng:
Detecting Duplicate Bug Reports with Convolutional Neural Networks. APSEC 2018: 416-425
[c10]
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Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. EMNLP 2018: 3120-3131
[c9]
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Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King:
Online app review analysis for identifying emerging issues. ICSE 2018: 48-58
[c8]
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, Irwin King:
Exploring the effects of ad schemes on the performance cost of mobile phones. A-Mobile@ASE 2018: 13-18
[c7]
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Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, Irwin King:
INFAR: insight extraction from app reviews. ESEC/SIGSOFT FSE 2018: 904-907
2017
[c6]
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Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu:
IntelliAd: assisting mobile app developers in measuring ad costs automatically. ICSE (Companion Volume) 2017: 253-255
2016
[c5]
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  - conf/issre/ManGLJ16
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Yichuan Man, Cuiyun Gao, Michael R. Lyu, Jiuchun Jiang:
Experience Report: Understanding Cross-Platform App Issues from User Reviews. ISSRE 2016: 138-149
2015
[c4]
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Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu:
PAID: Prioritizing app issues for developers by tracking user reviews over versions. ISSRE 2015: 35-45
[c3]
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Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, Michael R. Lyu:
SpyAware: Investigating the privacy leakage signatures in app execution traces. ISSRE 2015: 348-358
[c2]
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Cuiyun Gao, Hui Xu, Junjie Hu, Yangfan Zhou:
AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. SOSE 2015: 284-290
2011
[c1]
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Peng Qi, Dongsheng Wu, Cuiyun Gao, Hui Shao:
Exact Solutions for the Complex Ginzburg-Landau Equation. ICEIS (4) 2011: 675-677

Data and Artifacts

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What is the meaning of the colors in the publication lists?

2023
[d2]
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version 2. Zenodo, 2023 [all versions]
2021
[d1]
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version v1.0. Zenodo, 2021 [all versions]

Informal and Other Publications

see FAQ

What is the meaning of the colors in the publication lists?

2024
[i79]
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Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024)
[i78]
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  - journals/corr/abs-2401-02737
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Baijun Cheng, Kailong Wang, Cuiyun Gao, Xiapu Luo, Li Li, Yao Guo, Xiangqun Chen, Haoyu Wang:
The Vulnerability Is in the Details: Locating Fine-grained Information of Vulnerable Code Identified by Graph-based Detectors. CoRR abs/2401.02737 (2024)
[i77]
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  - journals/corr/abs-2401-08131
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Xin-Cheng Wen, Cuiyun Gao, Xinchen Wang, Ruiqi Wang, Tao Zhang, Qing Liao:
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning. CoRR abs/2401.08131 (2024)
[i76]
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  - journals/corr/abs-2401-13169
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Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao:
A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities. CoRR abs/2401.13169 (2024)
[i75]
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  - journals/corr/abs-2401-15843
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Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. CoRR abs/2401.15843 (2024)
[i74]
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  - journals/corr/abs-2403-18926
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Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu:
Enhancing Efficiency in Sparse Models with Sparser Selection. CoRR abs/2403.18926 (2024)
[i73]
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  - journals/corr/abs-2403-19096
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Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. CoRR abs/2403.19096 (2024)
[i72]
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  - journals/corr/abs-2404-15596
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Xin-Cheng Wen, Xinchen Wang, Yujia Chen, Ruida Hu, David Lo, Cuiyun Gao:
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection. CoRR abs/2404.15596 (2024)
[i71]
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  - journals/corr/abs-2404-19368
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Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu:
Exploring Multi-Lingual Bias of Large Code Models in Code Generation. CoRR abs/2404.19368 (2024)
[i70]
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  - journals/corr/abs-2405-04994
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Ruoke Wang, Zongjie Li, Chaozheng Wang, Yang Xiao, Cuiyun Gao:
NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair. CoRR abs/2405.04994 (2024)
[i69]
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  - journals/corr/abs-2405-11233
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Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. CoRR abs/2405.11233 (2024)
[i68]
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Thiago S. Vaillant, Felipe Deveza de Almeida, Paulo Anselmo da Mota Silveira Neto, Cuiyun Gao, Jan Bosch, Eduardo Santana de Almeida:
Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey. CoRR abs/2405.12195 (2024)
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Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou:
A Survey on Modern Code Review: Progresses, Challenges and Opportunities. CoRR abs/2405.18216 (2024)
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Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu:
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. CoRR abs/2406.09313 (2024)
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Wenbo Xu, Liang Yan, Peiyi Han, Haifeng Zhu, Chuanyi Liu, Shaoming Duan, Cuiyun Gao, Yingwei Liang:
TCSR-SQL: Towards Table Content-aware Text-to-SQL with Self-retrieval. CoRR abs/2407.01183 (2024)
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Xiaoli Lian, Shuaisong Wang, Jieping Ma, Fang Liu, Xin Tan, Li Zhang, Lin Shi, Cuiyun Gao:
Uncovering Weaknesses in Neural Code Generation. CoRR abs/2407.09793 (2024)
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  - journals/corr/abs-2408-03519
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Qinyun Wu, Chao Peng, Pengfei Gao, Ruida Hu, Haoyu Gan, Bo Jiang, Jinhe Tang, Zhiwen Deng, Zhanming Guan, Cuiyun Gao, Xia Liu, Ping Yang:
RepoMasterEval: Evaluating Code Completion via Real-World Repositories. CoRR abs/2408.03519 (2024)
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Yujia Chen, Yang Ye, Zhongqi Li, Yuchi Ma, Cuiyun Gao:
Iterative Knowledge Distillation through Feedback-Driven Learning Cycles. CoRR abs/2408.03680 (2024)
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Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu:
Search-Based LLMs for Code Optimization. CoRR abs/2408.12159 (2024)
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Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia:
ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. CoRR abs/2409.10280 (2024)
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  - journals/corr/abs-2409-10811
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Shuqing Li, Binchang Li, Yepang Liu, Cuiyun Gao, Jianping Zhang, Shing-Chi Cheung, Michael R. Lyu:
Context-Dependent Interactable Graphical User Interface Element Detection for Spatial Computing Applications. CoRR abs/2409.10811 (2024)
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  - journals/corr/abs-2409-13178
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Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, Michael R. Lyu:
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. CoRR abs/2409.13178 (2024)
2023
[i57]
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Chaozheng Wang, Junhao Hu, Cuiyun Gao, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng:
Practitioners' Expectations on Code Completion. CoRR abs/2301.03846 (2023)
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  - journals/corr/abs-2302-03482
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Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang:
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. CoRR abs/2302.03482 (2023)
[i55]
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Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. CoRR abs/2302.04675 (2023)
[i54]
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  - journals/corr/abs-2303-01056
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Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, Rongcong Lv:
Deep Learning Based Code Generation Methods: A Literature Review. CoRR abs/2303.01056 (2023)
[i53]
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Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao:
On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR abs/2303.03012 (2023)
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Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R. Lyu:
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study. CoRR abs/2304.07575 (2023)
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Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu:
BadCS: A Backdoor Attack Framework for Code search. CoRR abs/2305.05503 (2023)
[i50]
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  - journals/corr/abs-2306-01394
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Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. CoRR abs/2306.01394 (2023)
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  - journals/corr/abs-2306-06935
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Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao:
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. CoRR abs/2306.06935 (2023)
[i48]
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Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. CoRR abs/2307.09163 (2023)
[i47]
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  - journals/corr/abs-2308-06783
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Shuqing Li, Lili Wei, Yepang Liu, Cuiyun Gao, Shing-Chi Cheung, Michael R. Lyu:
Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives. CoRR abs/2308.06783 (2023)
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  - journals/corr/abs-2308-10523
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Xin-Cheng Wen, Xinchen Wang, Cuiyun Gao, Shaohua Wang, Yang Liu, Zhaoquan Gu:
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection. CoRR abs/2308.10523 (2023)
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  - journals/corr/abs-2309-08115
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Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR abs/2309.08115 (2023)
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  - journals/corr/abs-2310-01432
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Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR abs/2310.01432 (2023)
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  - journals/corr/abs-2310-12598
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Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu:
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. CoRR abs/2310.12598 (2023)
[i42]
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  - journals/corr/abs-2312-04087
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Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao:
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR abs/2312.04087 (2023)
2022
[i41]
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  - journals/corr/abs-2202-06521
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Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. CoRR abs/2202.06521 (2022)
[i40]
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  - journals/corr/abs-2204-03931
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Jiezhu Cheng, Cuiyun Gao, Zibin Zheng:
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems. CoRR abs/2204.03931 (2022)
[i39]
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  - journals/corr/abs-2205-06985
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Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang:
Generating Tips from Song Reviews: A New Dataset and Framework. CoRR abs/2205.06985 (2022)
[i38]
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  - journals/corr/abs-2205-13522
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Shiyi Qi, Yaoxian Li, Cuiyun Gao, Xiaohong Su, Shuzheng Gao, Zibin Zheng, Chuanyi Liu:
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit. CoRR abs/2205.13522 (2022)
[i37]
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  - journals/corr/abs-2207-04285
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Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022)
[i36]
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  - journals/corr/abs-2207-11104
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Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo:
CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. CoRR abs/2207.11104 (2022)
[i35]
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  - journals/corr/abs-2207-11680
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Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence. CoRR abs/2207.11680 (2022)
[i34]
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  - journals/corr/abs-2208-01971
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Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022)
[i33]
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  - journals/corr/abs-2208-08289
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Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. CoRR abs/2208.08289 (2022)
[i32]
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  - journals/corr/abs-2209-08055
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Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A Transformer-Based Approach for Improving App Review Response Generation. CoRR abs/2209.08055 (2022)
[i31]
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  - journals/corr/abs-2209-13973
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Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022)
[i30]
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  - journals/corr/abs-2210-05261
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Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. CoRR abs/2210.05261 (2022)
[i29]
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  - journals/corr/abs-2210-06235
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Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao:
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. CoRR abs/2210.06235 (2022)
[i28]
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  - journals/corr/abs-2212-05773
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Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. CoRR abs/2212.05773 (2022)
[i27]
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  - journals/corr/abs-2212-09666
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Zi Gong, Yinpeng Guo, Pingyi Zhou, Cuiyun Gao, Yasheng Wang, Zenglin Xu:
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. CoRR abs/2212.09666 (2022)
[i26]
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  - journals/corr/abs-2212-14274
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Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Zhihong Tian, Yan Jia, Xuan Wang:
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection. CoRR abs/2212.14274 (2022)
2021
[i25]
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  - journals/corr/abs-2103-15774
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Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. CoRR abs/2103.15774 (2021)
[i24]
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  - journals/corr/abs-2104-09340
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia:
Code Structure Guided Transformer for Source Code Summarization. CoRR abs/2104.09340 (2021)
[i23]
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Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR abs/2105.03595 (2021)
[i22]
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Chaozheng Wang, Zhenghao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching Query Semantics for Code Search with Reinforcement Learning. CoRR abs/2105.09630 (2021)
[i21]
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Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu:
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. CoRR abs/2110.09182 (2021)
[i20]
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  - journals/corr/abs-2111-04901
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Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-tailed Classification. CoRR abs/2111.04901 (2021)
[i19]
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  - journals/corr/abs-2112-12653
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Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? CoRR abs/2112.12653 (2021)
2020
[i18]
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  - journals/corr/abs-2002-03536
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020)
[i17]
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Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020)
[i16]
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  - journals/corr/abs-2004-11516
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Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. CoRR abs/2004.11516 (2020)
[i15]
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  - journals/corr/abs-2006-14244
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Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang:
On the Replicability and Reproducibility of Deep Learning in Software Engineering. CoRR abs/2006.14244 (2020)
[i14]
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  - journals/corr/abs-2007-06934
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Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
Contextualized Code Representation Learning for Commit Message Generation. CoRR abs/2007.06934 (2020)
[i13]
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  - journals/corr/abs-2008-07048
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Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed:
A Deep Dive on the Impact of COVID-19 in Software Development. CoRR abs/2008.07048 (2020)
[i12]
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  - journals/corr/abs-2008-09976
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Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020)
[i11]
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  - journals/corr/abs-2008-12112
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Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020)
[i10]
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  - journals/corr/abs-2010-06301
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Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. CoRR abs/2010.06301 (2020)
[i9]
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  - journals/corr/abs-2010-16063
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Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR abs/2010.16063 (2020)
[i8]
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  - journals/corr/abs-2011-02297
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Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. CoRR abs/2011.02297 (2020)
[i7]
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  - journals/corr/abs-2012-01028
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Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. CoRR abs/2012.01028 (2020)
2019
[i6]
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  - journals/corr/abs-1903-07319
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Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. CoRR abs/1903.07319 (2019)
[i5]
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  - journals/corr/abs-1907-01638
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Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. CoRR abs/1907.01638 (2019)
[i4]
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  - journals/corr/abs-1912-02972
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Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, Yang Liu:
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. CoRR abs/1912.02972 (2019)
[i3]
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  - journals/corr/abs-1912-09652
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Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu:
CORE: Automating Review Recommendation for Code Changes. CoRR abs/1912.09652 (2019)
2018
[i2]
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  - journals/corr/abs-1809-03664
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Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. CoRR abs/1809.03664 (2018)
2016
[i1]
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  - journals/corr/GaoXMZL16
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Cuiyun Gao, Hui Xu, Yichuan Man, Yangfan Zhou, Michael R. Lyu:
IntelliAd Understanding In-APP Ad Costs From Users Perspective. CoRR abs/1607.03575 (2016)

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