PaaS技术创新Lab近5年高水平论文一览表
|
题目 |
作者 |
发表会议/期刊 |
|---|---|---|
|
Dynamic and multi-channel graph convolutional networks for aspect-based sentiment analysis |
Shiguan Pang, Yun Xue, Zehao Yan, Weihao Huang, Jinhui Feng: |
ACL,2021 |
|
Incremental Intent Detection for Medical Domain with Contrast Replay Networks. |
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao |
ACL,2022 |
|
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model |
Tianyu Chen, Lin Li, Liuchuan Zhu, Zongyang Li, Xueqing Liu, Guangtai Liang, Qianxiang Wang, Tao Xie |
ACL,2024 |
|
Pangu-coder: Program synthesis with function-level language modeling |
Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, Guchun Zhang, Yinpeng Guo, Zhongqi Li, Qi Zhang, Meng Xiao, Bo Shen, Lin Li, Hao Yu, Li Yan, Pingyi Zhou, Xin Wang, Yuchi Ma, Ignacio Iacobacci, Yasheng Wang, Guangtai Liang, Jiansheng Wei, Xin Jiang, Qianxiang Wang, Qun Liu |
arXiv,2022 |
|
Can Programming Languages Boost Each Other via Instruction Tuning? |
Daoguang Zan，Ailun Yu，Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen,Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang |
arXiv,2023 |
|
Identifying Vulnerability Patches by Comprehending Code Commits with Comprehensive Change Contexts |
Tianyu Chen, Lin Li, Taotao Qian, Zeyu Wang, Guangtai Liang, Ding Li, Qianxiang Wang, Tao Xie |
arXiv,2023 |
|
Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries |
Tianyu Chen, Lin Li, Bingjie Shan, Guangtai Liang, Ding Li, Qianxiang Wang, Tao Xie: |
arXiv,2023 |
|
Pangu-coder2: Boosting large language models for code with ranking feedback |
Bo Shen, Jiaxin Zhang, Taihong Chen,Daoguang Zan, Bing Geng, An Fu,Muhan Zeng, et al. |
arXiv,2023 |
|
VulLibGen: Identifying Vulnerable Third-Party Libraries via Generative Pre-Trained Model |
Tianyu Chen, Lin Li, Liuchuan Zhu, Zongyang Li, Guangtai Liang, Ding Li, Qianxiang Wang, Tao Xie |
arXiv,2023 |
|
CodeR: Issue Resolving with Multi-Agent and Task Graphs |
Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang |
arXiv,2024 |
|
Enhancing LLM-based Test Generation for Hard-to-Cover Branches via Program Analysis |
Chen Yang, Junjie Chen, Bin Lin, Jianyi Zhou, Ziqi Wang |
arXiv,2024 |
|
RLCoder: Reinforcement Learning for Repository-Level Code Completion |
Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng |
arXiv,2024 |
|
TestART: Improving LLM-based Unit Test via Co-evolution of Automated Generation and Repair Iteration |
Siqi Gu, Chunrong Fang, Quanjun Zhang, Fangyuan Tian, Jianyi Zhou, Zhenyu Chen |
arXiv,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 |
arXiv,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 |
arXiv,2024 |
|
Morest: industry practice of automatic restful API testing |
Yi Liu, Yuekang Li, Yang Liu, Ruiyuan Wan, Runchao Wu, Qingkun Liu |
ASE,2022 |
|
FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments |
Fang Liu; Zhenwei Liu; Qianhui Zhao; Jing Jiang; Li Zhang; Zian Sun; Ge Li; Zhongqi Li; Yuchi Ma |
ASE,2024 |
|
MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data |
Yidan Wang; Zhouruixing Zhu; Qiuai Fu; Yuchi Ma; Pinjia He |
ASE,2024 |
|
On the Evaluation of Large Language Models in Unit Test Generation |
Lin Yang，Chen Yang，Shutao Gao，Weijing Wang ，Bo Wang，Qihao Zhu，Xiao Chu，Jianyi Zhou，Guangtai Liang，Qianxiang Wang，Junjie Chen |
ASE,2024 |
|
Raisin: Identifying Rare Sensitive Functions for Bug Detection |
Jianjun Huang, Jianglei Nie, Yuanjun Gong, Wei You, Bin Liang, and Pan Bian |
ICSE,2024 |
|
Bugbuilder: An automated approach to building bug repository |
Yanjie Jiang, Hui Liu, Xiaoqing Luo, Zhihao Zhu, Xiaye Chi, Nan Niu, Yuxia Zhang, Yamin Hu, Pan Bian, and Lu Zhang. |
ISSTA,2023 |
|
Flame: A Centralized Cache Controller for Serverless Computing |
Yanan Yang, Laiping Zhao, Yiming Li, Shihao Wu, Yuechan Hao, Yuchi Ma, Keqiu Li |
ASPLOS,2023 |
|
Pre-trained Language Model Based Active Learning for Sentence Matching |
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie |
COLING,2020 |
|
SmartCommit: a graph-based interactive assistant for activity-oriented commits |
Bo Shen, Wei Zhang, Christian Kästner, Haiyan Zhao, Zhao Wei, Guangtai Liang, Zhi Jin |
FSE,2021 |
|
Hue: A User-Adaptive Parser for Hybrid Logs |
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He: |
FSE,2023 |
|
Fault Diagnosis for Test Alarms in Microservices through Multi-source Data |
Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei |
FSE,2024 |
|
Robust Log-Based Anomaly Detection with Hierarchical Contrastive Learning |
Yuhui Zhao, Ruichun Yang, Ning Yang, Tao Lin, Qiuai Fu, Yuchi Ma |
ICASSP,2023 |
|
MigrationAdvisor: Recommending Library Migrations from Large-Scale Open-Source Data |
Hao He, Yulin Xu, Xiao Cheng, Guangtai Liang, Minghui Zhou |
ICSE,2021 |
|
Morest: model-based RESTful API testing with execution feedback |
Yi Liu, Yuekang Li, Gelei Deng, Yang Liu, Ruiyuan Wan, Runchao Wu, Dandan Ji, Shiheng Xu, Minli Bao |
ICSE,2022 |
|
Codereval: A benchmark of pragmatic code generation with generative pre-trained models |
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie |
ICSE,2024 |
|
Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection |
Boxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He: |
ICSE,2024 |
|
Efficiently Trimming the Fat: Streamlining Software Dependencies with Java Reflection and Dependency Analysis |
Xiaohu Song, Ying Wang, Xiao Cheng, Guangtai Liang, Qianxiang Wang, Zhiliang Zhu |
ICSE,2024 |
|
Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMs |
Shengbei Jiang, Jiabao Zhang, Wei Chen, Bo Wang, Jianyi Zhou, Jie M Zhang |
ICSE,2024，LLM4Code workshop |
|
Reinforcement Learning for Repository-Level Code Completion |
Yanli Wang; Daya Guo; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng |
ICSE,2025 |
|
Exploring better black-box test case prioritization via log analysis |
Zhichao Chen, Junjie Chen, Weijing Wang, Jianyi Zhou, Meng Wang, Xiang Chen, Shan Zhou, Jianmin Wang |
TOSEM 2023 |
|
Aga: An accelerated greedy additional algorithm for test case prioritization |
Feng Li, Jianyi Zhou, Yinzhu Li, Dan Hao, Lu Zhang |
TSE 2021 |
|
Parallel test prioritization |
Jianyi Zhou, Junjie Chen, Dan Hao |
TOSEM 2021 |
|
Cross-language Code Coupling Detection: A Preliminary Study on Android Applications |
Bo Shen, Wei Zhang, Ailun Yu, Zhao Wei, Guangtai Liang, Haiyan Zhao, Zhi Jin |
ICSME,2021 |
|
Diktat: Lightweight Static Analysis for Kotlin |
Andrey Kuleshov, Petr Trifanov, Vladislav Frolov, Guangtai Liang |
ISSRE Workshops,2021 |
|
Patternika: A Pattern-Mining-Based Tool For Automatic Library Migration |
Ekaterina Blech, Andrey Grishchenko, Ivan Kniazkov, Guangtai Liang, Oleg Serebrennikov, Andrei Tatarnikov, Polina Volkhontseva, Kuzma Yakimets |
ISSRE Workshops,2021 |
|
Cost-effective testing of a deep learning model through input reduction |
Jianyi Zhou, Feng Li, Jinhao Dong, Hongyu Zhang, Dan Hao |
ISSRE 2020 |
|
Eunomia: Enabling User-Specified Fine-Grained Search in Symbolically Executing WebAssembly Binaries |
Ningyu He, Zhehao Zhao, Jikai Wang, Yubin Hu, Shengjian Guo, Haoyu Wang, Guangtai Liang, Ding Li, Xiangqun Chen, Yao Guo |
ISSTA,2023 |
|
Generic and industrial scale many-criteria regression test selection |
Felix Dobslaw, Ruiyuan Wan, Yuechan Hao |
JSS,2023 |
|
A Multi-Metric Ranking Approach for Library Migration Recommendations |
Hao He, Yulin Xu, Yixiao Ma, Yifei Xu, Guangtai Liang, Minghui Zhou |
SANER,2021 |
|
A meta-feature based unified framework for both cold-start and warm-start explainable recommendations |
Ning Yang, Yuchi Ma, Li Chen, Philip S Yu |
WWW,2020 |
