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Cuiyun Gao
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2020 – today
- 2024
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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]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) - [c50]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 - [c49]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 - [c48]Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. LREC/COLING 2024: 1690-1704 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. SANER 2024: 171-182 - [i73]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) - [i72]Baijun Cheng, Kailong Wang, Cuiyun Gao, Xiapu Luo, Yulei Sui, 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) - [i71]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) - [i70]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) - [i69]Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. CoRR abs/2401.15843 (2024) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]Ruoke Wang, Zongjie Li, Chaozheng Wang, Yang Xiao, Cuiyun Gao:
NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair. CoRR abs/2405.04994 (2024) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - 2023
- [j28]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]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]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]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]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]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]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]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]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]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]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]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]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) - [c39]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]Zhihong Liu, Qing Liao, Wenchao Gu, Cuiyun Gao:
Software Vulnerability Detection with GPT and In-Context Learning. DSC 2023: 229-236 - [c37]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]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]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]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]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]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]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]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]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]Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. ASE 2023: 988-999 - [c27]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]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]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 - [d2]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] - [i57]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) - [i56]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]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]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]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) - [i52]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) - [i51]Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu:
BadCS: A Backdoor Attack Framework for Code search. CoRR abs/2305.05503 (2023) - [i50]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) - [i49]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]Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. CoRR abs/2307.09163 (2023) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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]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
- [j15]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]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]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]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]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]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]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]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]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) - [c24]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]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]Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao:
Parameter Description Generation with the Code Parameter Flow. QRS 2022: 884-895 - [c21]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]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 - [i41]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]Jiezhu Cheng, Cuiyun Gao, Zibin Zheng:
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems. CoRR abs/2204.03931 (2022) - [i39]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]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]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]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]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]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]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]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]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]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]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]Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. CoRR abs/2212.05773 (2022) - [i27]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]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
- [j6]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]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) - [j4]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) - [j3]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) - [c19]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]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 - [d1]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] - [i25]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]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]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]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]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]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]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
- [c17]Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu
:
CORE: Automating Review Recommendation for Code Changes. SANER 2020: 284-295 - [c16]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 - [i18]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]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020) - [i16]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]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]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]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]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]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]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]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]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]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)
2010 – 2019
- 2019
- [j2]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]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) - [c15]Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. WNLP@ACL 2019: 73-76 - [c14]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]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]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King
:
Automating App Review Response Generation. ASE 2019: 163-175 - [i6]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]Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. CoRR abs/1907.01638 (2019) - [i4]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]Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu:
CORE: Automating Review Recommendation for Code Changes. CoRR abs/1912.09652 (2019) - 2018
- [c11]Qi Xie, Zhiyuan Wen, Jieming Zhu, Cuiyun Gao, Zibin Zheng
:
Detecting Duplicate Bug Reports with Convolutional Neural Networks. APSEC 2018: 416-425 - [c10]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]Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King
:
Online app review analysis for identifying emerging issues. ICSE 2018: 48-58 - [c8]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]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 - [i2]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) - 2017
- [c6]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]Yichuan Man, Cuiyun Gao, Michael R. Lyu, Jiuchun Jiang:
Experience Report: Understanding Cross-Platform App Issues from User Reviews. ISSRE 2016: 138-149 - [i1]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) - 2015
- [c4]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]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]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]Peng Qi, Dongsheng Wu, Cuiyun Gao, Hui Shao:
Exact Solutions for the Complex Ginzburg-Landau Equation. ICEIS (4) 2011: 675-677
Coauthor Index
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