Yanlin Wang

According to our database, Yanlin Wang authored at least 44 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

ACM Trans. Softw. Eng. Methodol., January, 2024

2023

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

Empir. Softw. Eng., November, 2023

Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance.

Sheng Zhang, Hui Li, Yanlin Wang, Zhao Wei, Yong Xiu, Juhong Wang, Rongong Ji

CoRR, 2023

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

Zibin Zheng, Kaiwen Ning, Yanlin Wang, Jingwen Zhang, Dewu Zheng, Mingxi Ye, Jiachi Chen

CoRR, 2023

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Chong Chen, Jianzhong Su, Jiachi Chen, Yanlin Wang, Tingting Bi, Yanli Wang, Xingwei Lin, Ting Chen, Zibin Zheng

CoRR, 2023

Towards an Understanding of Large Language Models in Software Engineering Tasks.

Zibin Zheng, Kaiwen Ning, Jiachi Chen, Yanlin Wang, Wenqing Chen, Lianghong Guo, Weicheng Wang

CoRR, 2023

EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery.

Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

CoRR, 2023

An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity.

Renke Huang, Jiachi Chen, Yanlin Wang, Tingting Bi, Zibin Zheng

CoRR, 2023

Revisiting Code Search in a Two-Stage Paradigm.

Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.

Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion.

Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.

Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery.

Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

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

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Toward Automated Detecting Unanticipated Price Feed in Smart Contract.

Yifan Mo, Jiachi Chen, Yanlin Wang, Zibin Zheng

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.

Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols.

Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang, Zibin Zheng

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Can Neural Networks Help Smart Contract Testing? An Empirical Study.

Jiadong Wu, Yanlin Wang, Ruixin Wang, Jiachi Chen, Zibin Zheng

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

CoCoSoDa: Effective Contrastive Learning for Code Search.

Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).

Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing.

Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Task Learning for Recommendation Over Heterogeneous Information Network.

Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi

IEEE Trans. Knowl. Data Eng., 2022

A large-scale empirical study of commit message generation: models, datasets and evaluation.

Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

Empir. Softw. Eng., 2022

Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing.

Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai

CoRR, 2022

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach.

Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang

CoRR, 2022

Long Code for Code Search.

Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li

CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie

CoRR, 2022

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation.

Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2022

ECMG: Exemplar-based Commit Message Generation.

Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2022

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

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Evaluation of Neural Code Summarization.

Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

RACE: Retrieval-augmented Commit Message Generation.

Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Accelerating Code Search with Deep Hashing and Code Classification.

Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Neural Code Summarization: How Far Are We?

Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

CoRR, 2021

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

CoRR, 2021

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

CoRR, 2021

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, Wenqiang Zhang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search.

Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs.

Yanlin Wang, Hui Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

FHJ: A Formal Model for Hierarchical Dispatching and Overriding.

Yanlin Wang, Haoyuan Zhang, Bruno C. d. S. Oliveira, Marco Servetto

Proceedings of the 32nd European Conference on Object-Oriented Programming, 2018

2016

Classless Java.

Yanlin Wang, Haoyuan Zhang, Bruno C. d. S. Oliveira, Marco Servetto

Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2016

The expression problem, trivially!

Yanlin Wang, Bruno C. d. S. Oliveira

Proceedings of the 15th International Conference on Modularity, 2016