Yanlin Wang's Homepage
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Assistant Professor |
About me
I joined Software Engineering School, Sun Yat-sen University as an assistant professor in July 2022. Before that, I worked at Microsoft Research Asia, Data, Knowledge, and Intelligence (DKI) group as a senior researcher. I was very fortunate to work under the supervision of Dr. Dongmei Zhang and Shi Han in MSRA. I received my B.S. degree from Zhejiang University and PhD degree from the University of Hong Kong under the supervision of Prof. Bruno C. d. S. Oliveira.
My research interests include large language models, software engineering, deep learning, and programming languages, particularly in intelligent software engineering. Our group is always recruiting undergraduate/master students. Please contact me with your CV attached if you are interested in the above topics.
Recent news
(Pinned) I am currently on the program committee of ISSTA 2024, ICSE 2024, FSE 2023 Industry Track, COLING 2022, Scala 2022, FSE 2022 industry track, and ICSME 2022 industry track. Please consider submitting a paper!
2023/07. One research paper on issue link recovery was accepted by ASE 2023. Congratulations to Chenyuan!
2023/06. One research paper on code search utilizing ChatGPT was accepted by ICSME 2023. Congratulations to Lianghong!
2023/05. Four research papers were accepted by ISSTA 2023. Congratulations to Ensheng, Hao, Queping, and Yifan!
2023/05. Our research project MemoryBank for enhancing LLMs with long-term memory was released, check it out!
2023/04. Our benchmark AGIEval for accessing foundation models was released, check it out!
2022/12. New paper accepted at ICSE 2023.
2022/11. New paper accepted at AAAI 2023.
2022/10. New paper accepted at WSDM 2023.
2022/10. Two papers accepted at EMNLP 2022.
2022/09. New paper accepted at EMSE 2022.
2022/05. New paper accepted at KDD 2022 Applied Data Science Track.
2022/03. New paper accepted at MSR 2022.
2022/02. Two papers accepted at ACL 2022.
Publications
SoTaNa: The Open-Source Software Development Assistant [preprint]
Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Towards an Understanding of Large Language Models in Software Engineering Tasks [preprint]
Chong Chen, Jianzhong Su, Jiachi Chen, Yanlin Wang, Tingting Bi, Yanli Wang, Xingwei Lin, Ting Chen, Zibin Zheng
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We? [preprint]
Zibin Zheng, Kaiwen Ning, Jiachi Chen, Yanlin Wang, Wenqing Chen, Lianghong Guo, Weicheng Wang
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models [preprint]
Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan
MemoryBank: Enhancing Large Language Models with Long-Term Memory [preprint]
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
In The ACM SIGSOFT International Symposium on Software Testing and Analysis. (ISSTA 2023, CCF-A).
Re2BERT: A Two-stage Pre-trained Framework for Automatic Rename Refactoring
Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
In The ACM SIGSOFT International Symposium on Software Testing and Analysis. (ISSTA 2023, CCF-A).
DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols
Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang, Zibin Zheng
In The ACM SIGSOFT International Symposium on Software Testing and Analysis. (ISSTA 2023, CCF-A).
Toward Automated Detecting Unanticipated Price Feed in Smart Contract
Yifan Mo, Jiachi Chen, Yanlin Wang, Zibin Zheng
In The ACM SIGSOFT International Symposium on Software Testing and Analysis. (ISSTA 2023, CCF-A).
Snippet Comment Generation Based on Code Context Expansion
Hanyang Guo, Xiangping Chen, Yuan Huang, Yanlin Wang, Xi Ding, Zibin Zheng, Xiaocong Zhou, Hong-Ning Dai
In ACM Transactions on Software Engineering and Methodology (TOSEM 2023, CCF-A)
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi#, Yanlin Wang#, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
In Empirical Software Engineering (EMSE 2023, CCF-B)
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Ziyu Lyu, Hongyu Zhang and Zibin Zheng
In 39th IEEE International Conference on Software Maintenance and Evolution. (ICSME 2023, CCF-B)
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation
KDD 2023 Applied Data Science (KDD 2023).
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Lei Hou, Juanzi Li, Shi Han, Dongmei Zhang, Jidong Zhai
In Proceedings of the 36th AAAI Conference on Artificial Intelligence. (AAAI 2023).
CoCoSoDa: Effective Contrastive Learning for Code Search
Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
In proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023).
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Lei Hou, Juanzi Li, Shi Han, Dongmei Zhang, Jidong Zhai
In Proceedings of the 37th AAAI Conference on Artificial Intelligence. (AAAI 2023).
[pdf]A large-scale empiricalstudy of commit message generation: models, datasets and evaluation
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
In Empirical Software Engineering. (EMSE 2022).
[pdf]Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
In 15th ACM International WSDM Conference. (WSDM 2023).
[pdf]RACE: Retrieval-Augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, hongyu Zhang, Shi Han, Dongmei Zhang and Hongbin Sun
In The 2022 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2022).
[pdf]Exploring Representation-level Augmentation for Code Search
Haochen Li, Chunyan Miao, Yanxian Huang, Yuan Huang, Hongyu Zhang and Yanlin Wang
In The 2022 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2022).
[pdf]No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
In ACM SIGKDD 2022 Applied Data Science Track. (KDD 2022).
[pdf]Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael Lyu
In 60th Annual Meeting of the Association for Computational Linguistics. (ACL 2022).
[pdf]UniXcoder: Unified Cross-Modal Pre-training for Code Representation
Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin
In 60th Annual Meeting of the Association for Computational Linguistics. (ACL 2022).
[pdf] [code]On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
In International Conference on Software Engineering. (ICSE 2022).
[pdf] [code]LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
In Mining Software Repositories 2022. (MSR 2022).
[pdf] [code]CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi#, Yanlin Wang#, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
In 2021 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2021).
[pdf] [code]Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
In 30th ACM International Conference on Information and Knowledge Management. (CIKM 2021).
[pdf] [code]On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang and Wenqiang Zhang
In 37th International Conference on Software Maintenance and Evolution. (ICSME 2021).
[pdf] [code]Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.
Yanlin Wang and Hui Li
In Proceedings of the 35th AAAI Conference on Artificial Intelligence. (AAAI 2021).
[pdf]CoCoSUM: Contextual Code Summarization with Multi-Relational Graph Neural Network
Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang
[pdf]Multi-task Learning for Recommendation over Heterogeneous Information Network.
Hui Li, Yanlin Wang, Ziyu Lyu and Jieming Shi
In IEEE Transactions on Knowledge and Data Engineering (TKDE 2020).
[link]FHJ: A Formal Model for Hierarchical Dispatching and Overriding.
Yanlin Wang, Haoyuan Zhang, Bruno C. d. S. Oliveira and Marco Servetto
In Proceedings of the 32nd European Conference on Object-Oriented Programming. (ECOOP 2018).
[pdf]Classless Java.
Yanlin Wang, Haoyuan Zhang, Marco Servetto and Bruno C. d. S. Oliveira
In International Conference on Generative Programming: Concepts and Experiences. (GPCE 2016).
[pdf] [code]The Expression Problem, Trivially!
Yanlin Wang, Bruno C. d. S. Oliveira
In Proceedings of the 15th International Conference on Modularity. (Modularity 2016, Best Paper Award).
[link] [pdf]Product Lines of Interpreters Using Truffle with Object Algebras.
Yanlin Wang, Tomas Tauber and Bruno C. d. S. Oliveira
In Proceedings of the 1st Truffle/Graal Languages Workshop, 29th European Conference on Object-Oriented Programming. (Truffle@ECOOP 2015).
Professional services
Program Committee: ISSTA 2024, ICSE 2024, FSE 2023 Industry Track, COLING 2022, Scala 2022, FSE 2022 industry track, ICSME 2022 industry track, FSE 2021 IVR, ECOOP 2019 Doc Symposium
Reviewer: ICSE, FSE, ASE, TKDE, TNNLS, CSUR, JSS, JCST, AUSE, ICML, AAAI, ECOOP, ESOP, GPCE, Modularity, etc.
Teaching
AI Revolution: Decoding Large Models (AI革命：解码大模型), Sun Yat-sen University. 2023 Fall.
Principles of Compilers (编译原理), Sun Yat-sen University. 2023 Spring, 2023 Fall.
Software Source Codes Analysis (软件源代码分析), Sun Yat-sen University. 2022 Fall.
(TA) Computer Programming, The University of Hong Kong. 2016, 2014
(TA) Functional Programming, The University of Hong Kong. 2016
(TA) Object-Oriented Programming and Java, The University of Hong Kong. 2015
Useful Links
Deadlines: ddl-all
CCF list: ccf.atom.im