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ORCIDYanlin Wang 0001
Person information
- affiliation: Sun Yat-sen University, School of Software Engineering, Zhuhai, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (PhD 2019): University of Hong Kong, China
Other persons with the same name
- Yanlin Wang — disambiguation page
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2020 – today
- 2024
[j6]Zexu Wang
, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, Zibin Zheng:
Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts. Proc. ACM Softw. Eng. 1(FSE): 161-181 (2024)- [j5]Hanyang Guo, Xiangping Chen, Yuan Huang, Yanlin Wang, Xi Ding, Zibin Zheng, Xiaocong Zhou, Hong-Ning Dai:
Snippet Comment Generation Based on Code Context Expansion. ACM Trans. Softw. Eng. Methodol. 33(1): 24:1-24:30 (2024) - [j4]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 33(5): 133:1-133:32 (2024) - [c30]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li:
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING 2024: 15500-15510 - [c29]Shijian Chen, Jiachi Chen, Jiangshan Yu, Xiapu Luo, Yanlin Wang:
The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading. Internetware 2024 - [c28]Yifan Li, Ensheng Shi, Dewu Zheng, Kefeng Duan, Jiachi Chen, Yanlin Wang:
RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening. Internetware 2024 - [c27]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization. SANER 2024: 614-625 - [i41]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. CoRR abs/2401.08376 (2024) - [i40]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization. CoRR abs/2401.14727 (2024) - [i39]Yongkun Liu, Jiachi Chen, Tingting Bi, John C. Grundy, Yanlin Wang, Ting Chen, Yutian Tang, Zibin Zheng:
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support. CoRR abs/2402.01156 (2024) - [i38]Zexu Wang, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, Zibin Zheng:
Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts. CoRR abs/2403.11254 (2024) - [i37]Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng:
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. CoRR abs/2406.06918 (2024) - [i36]Jing Gong, Yanghui Wu, Linxi Liang, Zibin Zheng, Yanlin Wang:
CoSQA+: Enhancing Code Search Dataset with Matching Code. CoRR abs/2406.11589 (2024) - [i35]Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Zibin Zheng:
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models. CoRR abs/2407.00456 (2024) - [i34]Jiachi Chen, Chong Chen, Jiang Hu, John Grundy, Yanlin Wang, Ting Chen, Zibin Zheng:
Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow. CoRR abs/2407.13271 (2024) - [i33]Yanlin Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng:
RLCoder: Reinforcement Learning for Repository-Level Code Completion. CoRR abs/2407.19487 (2024) - [i32]Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng:
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. CoRR abs/2407.20042 (2024) - [i31]Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng:
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. CoRR abs/2408.05542 (2024) - [i30]Shuo Yang, Xingwei Lin, Jiachi Chen, Qingyuan Zhong, Lei Xiao, Renke Huang, Yanlin Wang, Zibin Zheng:
Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution. CoRR abs/2408.06037 (2024) - 2023
- [j3]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28(6): 135 (2023) - [c26]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI 2023: 13400-13408 - [c25]Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). ICDE 2023: 3775-3776 - [c24]Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE 2023: 2198-2210 - [c23]Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng:
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. ICSME 2023: 14-25 - [c22]Jiadong Wu, Yanlin Wang, Ruixin Wang, Jiachi Chen, Zibin Zheng:
Can Neural Networks Help Smart Contract Testing? An Empirical Study. Internetware 2023: 79-89 - [c21]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA 2023: 39-51 - [c20]Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. ISSTA 2023: 740-752 - [c19]Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang, Zibin Zheng:
DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols. ISSTA 2023: 1144-1156 - [c18]Yifan Mo, Jiachi Chen, Yanlin Wang, Zibin Zheng:
Toward Automated Detecting Unanticipated Price Feed in Smart Contract. ISSTA 2023: 1257-1268 - [c17]Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE 2023: 217-229 - [c16]Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen:
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD 2023: 4539-4548 - [c15]Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang:
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. SIGIR 2023: 2184-2188 - [c14]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM 2023: 132-140 - [c13]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. WSDM 2023: 994-1002 - [i29]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR abs/2304.05216 (2023) - [i28]Renke Huang, Jiachi Chen, Yanlin Wang, Tingting Bi, Zibin Zheng:
An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity. CoRR abs/2305.00427 (2023) - [i27]Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. CoRR abs/2305.17708 (2023) - [i26]Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang:
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. CoRR abs/2307.09089 (2023) - [i25]Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery. CoRR abs/2308.10759 (2023) - [i24]Zibin Zheng, Kaiwen Ning, Jiachi Chen, Yanlin Wang, Wenqing Chen, Lianghong Guo, Weicheng Wang:
Towards an Understanding of Large Language Models in Software Engineering Tasks. CoRR abs/2308.11396 (2023) - [i23]Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
SoTaNa: The Open-Source Software Development Assistant. CoRR abs/2308.13416 (2023) - [i22]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? CoRR abs/2309.05520 (2023) - [i21]Zibin Zheng, Kaiwen Ning, Yanlin Wang, Jingwen Zhang, Dewu Zheng, Mingxi Ye, Jiachi Chen:
A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends. CoRR abs/2311.10372 (2023) - [i20]Sheng Zhang, Hui Li, Yanlin Wang, Zhao Wei, Yong Xiu, Juhong Wang, Rongong Ji:
Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance. CoRR abs/2311.14901 (2023) - [i19]Shijian Chen, Jiachi Chen, Jiangshan Yu, Xiapu Luo, Yanlin Wang, Zibin Zheng:
The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading. CoRR abs/2312.12544 (2023) - 2022
- [j2]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27(7): 198 (2022) - [j1]Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-Task Learning for Recommendation Over Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 34(2): 789-802 (2022) - [c12]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544 - [c11]Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
RACE: Retrieval-augmented Commit Message Generation. EMNLP 2022: 5520-5530 - [c10]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
On the Evaluation of Neural Code Summarization. ICSE 2022: 1597-1608 - [c9]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c8]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. MSR 2022: 423-434 - [i18]Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie:
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR abs/2202.05139 (2022) - [i17]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i16]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
ECMG: Exemplar-based Commit Message Generation. CoRR abs/2203.02700 (2022) - [i15]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022) - [i14]Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR abs/2204.03293 (2022) - [i13]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i12]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR abs/2204.10232 (2022) - [i11]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR abs/2208.07012 (2022) - [i10]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. CoRR abs/2208.11271 (2022) - [i9]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. CoRR abs/2208.11274 (2022) - [i8]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR abs/2209.08264 (2022) - [i7]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. CoRR abs/2210.01425 (2022) - 2021
- [c7]Yanlin Wang, Hui Li:
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs. AAAI 2021: 14015-14023 - [c6]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM 2021: 2994-2998 - [c5]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) 2021: 4053-4062 - [c4]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME 2021: 126-136 - [i6]Yanlin Wang, Hui Li:
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs. CoRR abs/2103.09499 (2021) - [i5]Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang:
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR abs/2107.01933 (2021) - [i4]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR abs/2107.04773 (2021) - [i3]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR abs/2107.05373 (2021) - [i2]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? CoRR abs/2107.07112 (2021) - [i1]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR abs/2108.12987 (2021)
2010 – 2019
- 2018
- [c3]Yanlin Wang, Haoyuan Zhang, Bruno C. d. S. Oliveira, Marco Servetto:
FHJ: A Formal Model for Hierarchical Dispatching and Overriding. ECOOP 2018: 20:1-20:30 - 2016
- [c2]Yanlin Wang, Bruno C. d. S. Oliveira:
The expression problem, trivially! MODULARITY 2016: 37-41 - [c1]Yanlin Wang, Haoyuan Zhang, Bruno C. d. S. Oliveira, Marco Servetto:
Classless Java. GPCE 2016: 14-24
Coauthor Index
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