Yanlin Wang

According to our database, Yanlin Wang authored at least 109 papers between 2016 and 2025.

Collaborative distances:

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

2025

Agents in software engineering: survey, landscape, and vision.

Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng

Autom. Softw. Eng., November, 2025

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing.

Shengbo Wang, Mingwei Liu, Zike Li, Anji Li, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, August, 2025

Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges.

Yiming Shen, Jiashuo Zhang, Zhenzhe Shao, Wenxuan Luo, Yanlin Wang, Ting Chen, Zibin Zheng, Jiachi Chen

CoRR, August, 2025

SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval.

Wenchao Gu, Zongyi Lyu, Yanlin Wang, Hongyu Zhang, Cuiyun Gao, Michael R. Lyu

CoRR, August, 2025

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback.

Guoliang Duan, Mingwei Liu, Yanlin Wang, Chong Wang, Xin Peng, Zibin Zheng

CoRR, July, 2025

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction.

Jiachi Chen, Yiming Shen, Jiashuo Zhang, Zihao Li, John Grundy, Zhenzhe Shao, Yanlin Wang, Jiashui Wang, Ting Chen, Zibin Zheng

CoRR, June, 2025

SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks.

Lianghong Guo, Yanlin Wang, Caihua Li, Pengyu Yang, Jiachi Chen, Wei Tao, Yingtian Zou, Duyu Tang, Zibin Zheng

CoRR, June, 2025

Towards Better Code Generation: Adaptive Decoding with Uncertainty Guidance.

Kaifeng He, Mingwei Liu, Chong Wang, Zike Li, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, June, 2025

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework.

Yupeng Qi, Ziyu Lyu, Min Yang, Yanlin Wang, Lu Bai, Lixin Cui

CoRR, June, 2025

Context-aware code summarization with multi-relational graph neural network.

Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Yan Wang, Daya Guo, Shi Han, Hongyu Zhang, Dongmei Zhang

Autom. Softw. Eng., June, 2025

When Crypto Fails: Demystifying Cryptographic Defects in Ethereum Smart Contracts.

Jiashuo Zhang, Jiachi Chen, Yiming Shen, Tao Zhang, Yanlin Wang, Ting Chen, Jianbo Gao, Zhong Chen

IEEE Trans. Software Eng., May, 2025

NumScout: Unveiling Numerical Defects in Smart Contracts Using LLM-Pruning Symbolic Execution.

Jiachi Chen, Zhenzhe Shao, Shuo Yang, Yiming Shen, Yanlin Wang, Ting Chen, Zhenyu Shan, Zibin Zheng

IEEE Trans. Software Eng., May, 2025

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

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

ACM Trans. Softw. Eng. Methodol., May, 2025

Adversarial Reasoning for Repair Based on Inferred Program Intent.

He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, Claire Le Goues

CoRR, May, 2025

Towards an Understanding of Context Utilization in Code Intelligence.

Yanlin Wang, Kefeng Duan, Dewu Zheng, Ensheng Shi, Fengji Zhang, Yanli Wang, Jiachi Chen, Xilin Liu, Yuchi Ma, Hongyu Zhang, Qianxiang Wang, Zibin Zheng

CoRR, April, 2025

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks.

Dekun Dai, Mingwei Liu, Anji Li, Jialun Cao, Yanlin Wang, Chong Wang, Xin Peng, Zibin Zheng

CoRR, April, 2025

Towards an understanding of large language models in software engineering tasks.

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

Empir. Softw. Eng., March, 2025

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond.

Wenchao Gu, Juntao Chen, Yanlin Wang, Tianyue Jiang, Xingzhe Li, Mingwei Liu, Xilin Liu, Yuchi Ma, Zibin Zheng

CoRR, March, 2025

Enhancing the Robustness of LLM-Generated Code: Empirical Study and Framework.

Zike Li, Mingwei Liu, Anji Li, Kaifeng He, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, March, 2025

RustEvo²: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation.

Linxi Liang, Jing Gong, Mingwei Liu, Chong Wang, Guangsheng Ou, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, March, 2025

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.

Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, Zibin Zheng

Proc. ACM Softw. Eng., 2025

AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent.

He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, Claire Le Goues

Proc. ACM Softw. Eng., 2025

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.

Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Mingzhi Mao, Xilin Liu, Yuchi Ma, Zibin Zheng

Proc. ACM Softw. Eng., 2025

OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution.

Lianghong Guo, Wei Tao, Runhan Jiang, Yanlin Wang, Jiachi Chen, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, Zibin Zheng

Proc. ACM Softw. Eng., 2025

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks.

Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation.

Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts.

Jiashuo Zhang, Yiming Shen, Jiachi Chen, Jianzhong Su, Yanlin Wang, Ting Chen, Jianbo Gao, Zhong Chen

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and Migration.

Jiashuo Zhang, Jiachi Chen, John Grundy, Jianbo Gao, Yanlin Wang, Ting Chen, Zhi Guan, Zhong Chen

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Hyperion: Unveiling DApp Inconsistencies Using LLM and Dataflow-Guided Symbolic Execution.

Shuo Yang, Xingwei Lin, Jiachi Chen, Qingyuan Zhong, Lei Xiao, Renke Huang, Yanlin Wang, Zibin Zheng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing.

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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

RLCoder: Reinforcement Learning for Repository-Level Code Completion.

Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model.

Ensheng Shi, Yanlin Wang, Fengji Zhang, Bei Chen, Hongyu Zhang, Yanli Wang, Daya Guo, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025

2024

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

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

IEEE Trans. Knowl. Data Eng., December, 2024

KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation.

Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang

ACM Trans. Softw. Eng. Methodol., June, 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

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts.

Zexu Wang, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, Zibin Zheng

Proc. ACM Softw. Eng., 2024

How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation.

Dewu Zheng, Yanlin Wang, Ensheng Shi, Hongyu Zhang, Zibin Zheng

CoRR, 2024

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation.

Yanli Wang, Yanlin Wang, Suiquan Wang, Daya Guo, Jiachi Chen, John C. Grundy, Xilin Liu, Yuchi Ma, Mingzhi Mao, Hongyu Zhang, Zibin Zheng

CoRR, 2024

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?

Yuxuan Chen, Guangsheng Ou, Mingwei Liu, Yanlin Wang, Zibin Zheng

CoRR, 2024

Knowledge Probing for Graph Representation Learning.

Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin Cui, Lu Bai

CoRR, 2024

MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code.

Kaiwen Ning, Jiachi Chen, Qingyuan Zhong, Tao Zhang, Yanlin Wang, Wei Li, Yu Zhang, Weizhe Zhang, Zibin Zheng

CoRR, 2024

RLCoder: Reinforcement Learning for Repository-Level Code Completion.

Yanlin Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

CoRR, 2024

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.

Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Zibin Zheng

CoRR, 2024

CoSQA+: Enhancing Code Search Dataset with Matching Code.

Jing Gong, Yanghui Wu, Linxi Liang, Zibin Zheng, Yanlin Wang

CoRR, 2024

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond.

Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng

CoRR, 2024

An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support.

Yongkun Liu, Jiachi Chen, Tingting Bi, John C. Grundy, Yanlin Wang, Ting Chen, Yutian Tang, Zibin Zheng

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2024

SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization.

Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng

Proceedings of the IEEE International Conference on Software Analysis, 2024

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.

Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MoonBit: Explore the Design of an AI-Friendly Programming Language.

Haoxiang Fei, Yu Zhang, Hongbo Zhang, Yanlin Wang, Qing Liu

LLM4CODE@ICSE, 2024

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.

Jiachi Chen, Qingyuan Zhong, Yanlin Wang, Kaiwen Ning, Yongkun Liu, Zenan Xu, Zhe Zhao, Ting Chen, Zibin Zheng

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.

Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow.

Jiachi Chen, Chong Chen, Jiang Hu, John C. Grundy, Yanlin Wang, Ting Chen, Zibin Zheng

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening.

Yifan Li, Ensheng Shi, Dewu Zheng, Kefeng Duan, Jiachi Chen, Yanlin Wang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.

Shijian Chen, Jiachi Chen, Jiangshan Yu, Xiapu Luo, Yanlin Wang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Tackling Long Code Search with Splitting, Encoding, and Aggregating.

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CoSTV: Accelerating Code Search with Two-Stage Paradigm and Vector Retrieval.

Dewu Zheng, Yanlin Wang, Wenqing Chen, Jiachi Chen, Zibin Zheng

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

MemoryBank: Enhancing Large Language Models with Long-Term Memory.

Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Enhancing Code Intelligence Tasks with ChatGPT.

Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao

CoRR, 2023

The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.

Shijian Chen, Jiachi Chen, Jiangshan Yu, Xiapu Luo, Yanlin Wang, Zibin Zheng

CoRR, 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

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning.

Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai Wang

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

SoTaNa: The Open-Source Software Development Assistant.

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

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

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

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, Hongyu Zhang, Ziyu Lyu, Zibin Zheng

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

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction.

Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie

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

Exploring Representation-level Augmentation for Code Search.

Haochen Li, Chunyan Miao, Cyril Leung, Yanxian Huang, Yuan Huang, Hongyu Zhang, Yanlin Wang

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

UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin

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