Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval. - Ge Li 001; Ying Pan; Lu Zhang 023; Bing Xie; Weizhong Shao (ICSR, 2004)

Shortening retrieval sequences in browsing-based component retrieval using information entropy. - Ge Li 001; Lu Zhang 023; Yan Li 067; Bing Xie; Weizhong Shao (J. Syst. Softw., 2006)

Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management. - Yanzhen Zou; Liang Gu; Ge Li 001; Bing Xie; Hong Mei 001 (IEEE SCC, 2007)

A metamodel for the notation of graphical modeling languages. - Xiao He 005; Zhiyi Ma; Weizhong Shao; Ge Li 001 (COMPSAC (1), 2007)

An Exploratory Study of Web Services on the Internet. - Yan Li 067; Yao Liu; Liang-Jie Zhang; Ge Li 001; Bing Xie; Jiasu Sun (ICWS, 2007)

Scheduling of conflicting refactorings to promote quality improvement. - Hui Liu 003; Ge Li 001; Zhiyi Ma; Weizhong Shao (ASE, 2007)

Ontology Based Classification Generating Method for Browsing-Based Component Retrieval. - Ge Li 001; Lu Zhang 023; Bing Xie; Weizhong Shao (SEKE, 2007)

Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories. - Yan Li 067; Liangjie Zhang; Ge Li 001; Bing Xie; Jiasu Sun (ICSR, 2008)

Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites. - Lijie Wang; Fei Liu; Ge Li 001; Liang Gu; Liangjie Zhang; Bing Xie (ICSOC/ServiceWave, 2009)

Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships. - Lijie Wang; Leye Wang; Ge Li 001; Bing Xie (SEKE, 2010)

Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet. - Lijie Wang; Fei Liu; Liangjie Zhang; Ge Li 001; Bing Xie (SOSE, 2010)

APIExample: An effective web search based usage example recommendation system for java APIs. - Lijie Wang; Lu Fang; Leye Wang; Ge Li 001; Bing Xie; Fuqing Yang (ASE, 2011)

An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain. - Ge Li 001; Zhi Jin; Yan Xu 013; Yangyang Lu (KSEM, 2011)

An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing. - Ge Li 001; Zhi Jin (SEKE, 2011)

A process algebra for environment-based specification of web services. - Lixing Li; Zhi Jin; Ge Li 001 (SOSE, 2011)

Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. - Lili Mou; Ge Li 001; Zhi Jin; Yangyang Lu; Yiyang Hao (APSEC, 2012)

Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach. - Lixing Li; Zhi Jin; Ge Li 001; Liwei Zheng; Qiang Wei (ICWS, 2012)

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. - Lili Mou; Ge Li 001; Zhi Jin (COMPSAC, 2013)

MCT: a tool for commenting programs by multimedia comments. - Yiyang Hao; Ge Li 001; Lili Mou; Lu Zhang 023; Zhi Jin (ICSE, 2013)

A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces. - Yangyang Lu; Ge Li 001; Zhi Jin; Xueyuan Xing; Yiyang Hao (ICSR, 2013)

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. - Lili Mou; Ge Li 001; Zhi Jin; Lu Zhang 023 (KSEM, 2014)

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. - Lili Mou; Ge Li 001; Zhi Jin; Lu Zhang 023; Tao Wang (CoRR, 2014)

Building Program Vector Representations for Deep Learning. - Lili Mou; Ge Li 001; Yuxuan Liu 004; Hao Peng 017; Zhi Jin; Yan Xu 013; Lu Zhang 023 (CoRR, 2014)

Learning Non-Taxonomic Relations on Demand for Ontology Extension. - Yan Xu 013; Ge Li 001; Lili Mou; Yangyang Lu (Int. J. Softw. Eng. Knowl. Eng., 2014)

Discriminative Neural Sentence Modeling by Tree-Based Convolution. - Lili Mou; Hao Peng 017; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin (EMNLP, 2015)

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. - Hao Peng 017; Lili Mou; Ge Li 001; Yunchuan Chen; Yangyang Lu; Zhi Jin (EMNLP, 2015)

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. - Yan Xu 013; Lili Mou; Ge Li 001; Yunchuan Chen; Hao Peng 017; Zhi Jin (EMNLP, 2015)

Building Program Vector Representations for Deep Learning. - Hao Peng 017; Lili Mou; Ge Li 001; Yuxuan Liu 004; Lu Zhang 023; Zhi Jin (KSEM, 2015)

Distilling Word Embeddings: An Encoding Approach. - Lili Mou; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin (CoRR, 2015)

Recognizing Entailment and Contradiction by Tree-based Convolution. - Lili Mou; Rui Men; Ge Li 001; Yan Xu 013; Lu Zhang 023; Rui Yan 001; Zhi Jin (CoRR, 2015)

On End-to-End Program Generation from User Intention by Deep Neural Networks. - Lili Mou; Rui Men; Ge Li 001; Lu Zhang 023; Zhi Jin (CoRR, 2015)

Tree-based Convolution: A New Neural Architecture for Sentence Modeling. - Lili Mou; Hao Peng 017; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin (CoRR, 2015)

Backbone Language Modeling for Constrained Natural Language Generation. - Lili Mou; Rui Yan 001; Ge Li 001; Lu Zhang 023; Zhi Jin (CoRR, 2015)

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. - Yan Xu 013; Lili Mou; Ge Li 001; Yunchuan Chen; Hao Peng 017; Zhi Jin (CoRR, 2015)

Convolutional Neural Networks over Tree Structures for Programming Language Processing. - Lili Mou; Ge Li 001; Lu Zhang 023; Tao Wang; Zhi Jin (AAAI, 2016)

Compressing Neural Language Models by Sparse Word Representations. - Yunchuan Chen; Lili Mou; Yan Xu 013; Ge Li 001; Zhi Jin (ACL (1), 2016)

Natural Language Inference by Tree-Based Convolution and Heuristic Matching. - Lili Mou; Rui Men; Ge Li 001; Yan Xu 013; Lu Zhang 023; Rui Yan 001; Zhi Jin (ACL (2), 2016)

Distilling Word Embeddings: An Encoding Approach. - Lili Mou; Ran Jia; Yan Xu 013; Ge Li 001; Lu Zhang 023; Zhi Jin (CIKM, 2016)

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. - Lili Mou; Yiping Song; Rui Yan 001; Ge Li 001; Lu Zhang 023; Zhi Jin (COLING, 2016)

Improved relation classification by deep recurrent neural networks with data augmentation. - Yan Xu 013; Ran Jia; Lili Mou; Ge Li 001; Yunchuan Chen; Yangyang Lu; Zhi Jin (COLING, 2016)

How Transferable are Neural Networks in NLP Applications? - Lili Mou; Zhao Meng; Rui Yan 001; Ge Li 001; Yan Xu 013; Lu Zhang 023; Zhi Jin (EMNLP, 2016)

Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing. - Yangyang Lu; Ge Li 001; Rui Miao; Zhi Jin (KSEM, 2016)

Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. - Zhao Meng; Lili Mou; Ge Li 001; Zhi Jin (KSEM, 2016)

Lightweight semantic service modelling for IoT: an environment-based approach. - Qiang Wei; Zhi Jin; Lixing Li; Ge Li 001 (Int. J. Embed. Syst., 2016)

Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations. - Yunchuan Chen; Ge Li 001; Zhi Jin (KSEM, 2017)

Improved Knowledge Base Completion by the Path-Augmented TransR Model. - Wenhao Huang; Ge Li 001; Zhi Jin (KSEM, 2017)

Learning to Infer API Mappings from API Documents. - Yangyang Lu; Ge Li 001; Zelong Zhao; Linfeng Wen 002; Zhi Jin (KSEM, 2017)

Summarizing Source Code with Transferred API Knowledge. - Xing Hu 008; Ge Li 001; Xin Xia 001; David Lo 001; Shuai Lu; Zhi Jin (IJCAI, 2018)

Deep code comment generation. - Xing Hu 008; Ge Li 001; Xin Xia 001; David Lo 001; Zhi Jin (ICPC, 2018)

Unsupervised deep bug report summarization. - Xiaochen Li; He Jiang 001; Dong Liu 025; Zhilei Ren; Ge Li 001 (ICPC, 2018)

Deep Learning in Software Engineering. - Xiaochen Li; He Jiang 001; Zhilei Ren; Ge Li 001; Jingxuan Zhang (CoRR, 2018)

Preface. - Tao Xie 001; He Jiang 001; Ge Li 001; Tianyu Wo; Rahul Pandita; Chang Xu 001; Lihua Xu (J. Comput. Sci. Technol., 2018)

A Grammar-Based Structural CNN Decoder for Code Generation. - Zeyu Sun 004; Qihao Zhu; Lili Mou; Yingfei Xiong 001; Ge Li 001; Lu Zhang 023 (AAAI, 2019)

Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. - Xing Hu 008; Rui Men; Ge Li 001; Zhi Jin (COMPSAC (1), 2019)

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. - Bolin Wei; Shuai Lu; Lili Mou; Hao Zhou 012; Pascal Poupart; Ge Li 001; Zhi Jin (ICASSP, 2019)

Neural detection of semantic code clones via tree-based convolution. - Hao Yu; Wing Lam; Long Chen; Ge Li 001; Tao Xie 001; Qianxiang Wang (ICPC, 2019)

Code Generation as a Dual Task of Code Summarization. - Bolin Wei; Ge Li 001; Xin Xia 001; Zhiyi Fu; Zhi Jin (NeurIPS, 2019)

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. - Huangzhao Zhang; Zhuo Li; Ge Li 001; Lei Ma 003; Yang Liu 003; Zhi Jin (AAAI, 2020)

NLocalSAT: Boosting Local Search with Solution Prediction. - Wenjie Zhang 007; Zeyu Sun 004; Qihao Zhu; Ge Li 001; Shaowei Cai 001; Yingfei Xiong 001; Lu Zhang 023 (IJCAI, 2020)

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. - Fang Liu 032; Ge Li 001; Bolin Wei; Xin Xia 001; Zhiyi Fu; Zhi Jin (ICPC, 2020)

Multi-task Learning based Pre-trained Language Model for Code Completion. - Fang Liu 032; Ge Li 001; Yunfei Zhao; Zhi Jin (ASE, 2020)

Retrieve and Refine: Exemplar-based Neural Comment Generation. - Bolin Wei; Yongmin Li; Ge Li 001; Xin Xia 001; Zhi Jin (ASE, 2020)

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. - Boao Li; Meng Yan 001; Xin Xia 001; Xing Hu 008; Ge Li 001; David Lo 001 (ESEC/SIGSOFT FSE, 2020)

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. - Wenhan Wang; Ge Li 001; Bo Ma; Xin Xia 001; Zhi Jin (SANER, 2020)

LSTM-based argument recommendation for non-API methods. - Guangjie Li; Hui Liu 003; Ge Li 001; Sijie Shen; Hanlin Tang (Sci. China Inf. Sci., 2020)

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. - Wenhan Wang; Ge Li 001; Bo Ma; Xin Xia 001; Zhi Jin (CoRR, 2020)

Towards Full-line Code Completion with Neural Language Models. - Wenhan Wang; Sijie Shen; Ge Li 001; Zhi Jin (CoRR, 2020)

Learning to Represent Programs with Heterogeneous Graphs. - Wenhan Wang; Kechi Zhang; Ge Li 001; Zhi Jin (CoRR, 2020)

Deep code comment generation with hybrid lexical and syntactical information. - Xing Hu 008; Ge Li 001; Xin Xia 001; David Lo 001; Zhi Jin (Empir. Softw. Eng., 2020)

Modular Tree Network for Source Code Representation Learning. - Wenhan Wang; Ge Li 001; Sijie Shen; Xin Xia 001; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2020)

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. - Jia Li 011; Yongmin Li; Ge Li 001; Xing Hu 008; Xin Xia 001; Zhi Jin (ASE, 2021)

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Shuai Lu; Daya Guo; Shuo Ren; Junjie Huang 008; Alexey Svyatkovskiy; Ambrosio Blanco; Colin B. Clement; Dawn Drain; Daxin Jiang; Duyu Tang; Ge Li 001; Lidong Zhou; et al. (NeurIPS Datasets and Benchmarks, 2021)

Integrating Tree Path in Transformer for Code Representation. - Han Peng; Ge Li 001; Wenhan Wang; Yunfei Zhao; Zhi Jin (NeurIPS, 2021)

DeepDir: a deep learning approach for API directive detection. - Jingxuan Zhang; He Jiang 001; Shuai Lu; Ge Li 001; Xin Chen 032 (Sci. China Inf. Sci., 2021)

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. - Jia Li 012; Yuyuan Zhao; Zhi Jin; Ge Li 001; Tao Shen 001; Zhengwei Tao; Chongyang Tao (CIKM, 2022)

Rethinking Positional Encoding in Tree Transformer for Code Representation. - Han Peng; Ge Li 001; Yunfei Zhao; Zhi Jin (EMNLP, 2022)

Learning to Recommend Method Names with Global Context. - Fang Liu 032; Ge Li 001; Zhiyi Fu; Shuai Lu; Yiyang Hao; Zhi Jin (ICSE, 2022)

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. - Hao Yu; Yiling Lou; Ke Sun 017; Dezhi Ran; Tao Xie 001; Dan Hao 001; Ying Li 012; Ge Li 001; Qianxiang Wang (ICSE, 2022)

Learning to represent programs with heterogeneous graphs. - Kechi Zhang; Wenhan Wang; Huangzhao Zhang; Ge Li 001; Zhi Jin (ICPC, 2022)

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. - Haojie Zhang; Ge Li 001; Jia Li 011; Zhongjin Zhang; Yuqi Zhu; Zhi Jin (NeurIPS, 2022)

Are we building on the rock? on the importance of data preprocessing for code summarization. - Lin Shi 006; Fangwen Mu; Xiao Chen 015; Song Wang 009; Junjie Wang 001; Ye Yang; Ge Li 001; Xin Xia 001; Qing Wang 001 (ESEC/SIGSOFT FSE, 2022)

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation. - Sijie Shen; Xiang Zhu; Yihong Dong; Qizhi Guo; Yankun Zhen; Ge Li 001 (ESEC/SIGSOFT FSE, 2022)

Non-autoregressive Model for Full-line Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao (CoRR, 2022)

AixBench: A Code Generation Benchmark Dataset. - Yiyang Hao; Ge Li 001; Yongqiang Liu; Xiaowei Miao; He Zong; Siyuan Jiang; Yang Liu 003; Wei He 024 (CoRR, 2022)

What does Transformer learn about source code? - Kechi Zhang; Ge Li 001; Zhi Jin (CoRR, 2022)

A Tree-structured Transformer for Program Representation Learning. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Zhi Jin; Yang Liu 003 (CoRR, 2022)

Antecedent Predictions Are Dominant for Tree-Based Code Generation. - Yihong Dong; Ge Li 001; Zhi Jin (CoRR, 2022)

Poison Attack and Defense on Deep Source Code Processing Models. - Jia Li 011; Zhuo Li; Huangzhao Zhang; Ge Li 001; Zhi Jin; Xing Hu 008; Xin Xia 001 (CoRR, 2022)

A unified multi-task learning model for AST-level and token-level code completion. - Fang Liu 032; Ge Li 001; Bolin Wei; Xin Xia 001; Zhiyi Fu; Zhi Jin (Empir. Softw. Eng., 2022)

Preface. - Tao Xie 001; Shengchao Qin; Wenhui Zhang; Jun Sun 001; Lei Bu; Ge Li 001 (J. Comput. Sci. Technol., 2022)

Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. - Zhehao Zhao; Bo Yang; Ge Li 001; Huai Liu; Zhi Jin (J. Syst. Softw., 2022)

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. - Hao Yu; Xing Hu 008; Ge Li 001; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement. - Huangzhao Zhang; Zhiyi Fu; Ge Li 001; Lei Ma 003; Zhehao Zhao; Hua'an Yang; Yizhe Sun; Yang Liu 003; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2022)

Deep Learning Based Program Generation From Requirements Text: Are We There Yet? - Hui Liu 003; Mingzhu Shen; Jiaqi Zhu; Nan Niu; Ge Li 001; Lu Zhang 023 (IEEE Trans. Software Eng., 2022)

Self-Edit: Fault-Aware Code Editor for Code Generation. - Kechi Zhang; Zhuo Li; Jia Li 011; Ge Li 001; Zhi Jin (ACL (1), 2023)

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. - Yihong Dong; Ge Li 001; Xue Jiang; Zhi Jin (ECAI, 2023)

SkCoder: A Sketch-based Approach for Automatic Code Generation. - Jia Li 011; Yongmin Li; Ge Li 001; Zhi Jin; Yiyang Hao; Xing Hu 008 (ICSE, 2023)

MCodeSearcher: Multi-View Contrastive Learning for Code Search. - Jia Li 012; Fang Liu 032; Jia Li 011; Yunfei Zhao; Ge Li 001; Zhi Jin (Internetware, 2023)

Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. - Yunfei Zhao; Yihong Dong; Ge Li 001 (Internetware, 2023)

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. - Yihong Dong; Ge Li 001; Zhi Jin (ISSTA, 2023)

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. - Kechi Zhang; Zhuo Li; Zhi Jin; Ge Li 001 (ICPC, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (ASE, 2023)

Learning Program Representations with a Tree-Structured Transformer. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Anran Li 001; Zhi Jin; Yang Liu 003 (SANER, 2023)

Deep Learning Based Code Generation Methods: A Literature Review. - Zezhou Yang; Sirong Chen; Cuiyun Gao 001; Zhenhao Li 002; Ge Li 001; Rongcong Lv (CoRR, 2023)

Self-planning Code Generation with Large Language Model. - Xue Jiang; Yihong Dong; Lecheng Wang; Qiwei Shang; Ge Li 001 (CoRR, 2023)

Towards Enhancing In-Context Learning for Code Generation. - Jia Li 011; Yunfei Zhao; Yongmin Li; Ge Li 001; Zhi Jin (CoRR, 2023)

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (CoRR, 2023)

ToolCoder: Teach Code Generation Models to use API search tools. - Kechi Zhang; Ge Li 001; Jia Li 011; Zhuo Li; Zhi Jin (CoRR, 2023)

Enabling Programming Thinking in Large Language Models Toward Code Generation. - Jia Li 011; Ge Li 001; Yongmin Li; Zhi Jin (CoRR, 2023)

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism. - Yuwei Zhang 003; Ge Li 001; Zhi Jin; Ying Xing (CoRR, 2023)

SAGA: Summarization-Guided Assert Statement Generation. - Yuwei Zhang 003; Zhi Jin; Zejun Wang; Ying Xing; Ge Li 001 (CoRR, 2023)

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning. - Zhuo Li; Huangzhao Zhang; Zhi Jin; Ge Li 001 (CoRR, 2023)

Automated Static Warning Identification via Path-based Semantic Representation. - Yuwei Zhang 003; Ying Xing; Ge Li 001; Zhi Jin (CoRR, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (CoRR, 2023)

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing. - Yuwei Zhang 003; Zhi Jin; Ying Xing; Ge Li 001 (CoRR, 2023)

Improving Code Generation by Dynamic Temperature Sampling. - Yuqi Zhu; Jia Li 011; Ge Li 001; Yunfei Zhao; Jia Li 012; Zhi Jin; Hong Mei 001 (CoRR, 2023)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Ge Li 001; Chongyang Tao; Jia Li 011; Huangzhao Zhang; Fang Liu 032; Zhi Jin (CoRR, 2023)

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation. - Zejun Wang; Jia Li 011; Ge Li 001; Zhi Jin (CoRR, 2023)

TACO: Topics in Algorithmic COde generation dataset. - Rongao Li; Jie Fu 001; Bo-Wen Zhang 011; Tao Huang; Zhihong Sun; Chen Lyu 001; Guang Liu 006; Zhi Jin; Ge Li 001 (CoRR, 2023)

CodeEditor: Learning to Edit Source Code with Pre-trained Models. - Jia Li 011; Ge Li 001; Zhuo Li; Zhi Jin; Xing Hu 008; Kechi Zhang; Zhiyi Fu (ACM Trans. Softw. Eng. Methodol., 2023)

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. - Yuqi Zhu; Jia Li 011; Ge Li 001; Yunfei Zhao; Jia Li 012; Zhi Jin; Hong Mei 001 (AAAI, 2024)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. - Yihong Dong; Xue Jiang; Huanyu Liu; Zhi Jin; Bin Gu; Mengfei Yang; Ge Li 001 (ACL (Findings), 2024)

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. - Yihong Dong; Kangcheng Luo; Xue Jiang; Zhi Jin; Ge Li 001 (ACL (Findings), 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (ACL (Findings), 2024)

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. - Kechi Zhang; Ge Li 001; Huangzhao Zhang; Zhi Jin (ACL (1), 2024)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. - Kechi Zhang; Jia Li 012; Ge Li 001; Xianjie Shi; Zhi Jin (ACL (1), 2024)

Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. - Zhihong Sun; Chen Lyu 001; Bolun Li; Yao Wan 001; Hongyu Zhang 002; Ge Li 001; Zhi Jin (LREC/COLING, 2024)

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (ICSE, 2024)

KareCoder: A New Knowledge-Enriched Code Generation System. - Tao Huang; Zhihong Sun; Zhi Jin; Ge Li 001; Chen Lyu 001 (ICSE Companion, 2024)

Knowledge-Aware Code Generation with Large Language Models. - Tao Huang; Zhihong Sun; Zhi Jin; Ge Li 001; Chen Lyu 001 (ICPC, 2024)

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. - Fang Liu 032; Zhenwei Liu; Qianhui Zhao; Jing Jiang 005; Li Zhang 029; Zian Sun; Ge Li 001; Zhongqi Li; Yuchi Ma (ASE, 2024)

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. - Zhihong Sun; Yao Wan 001; Jia Li 012; Hongyu Zhang 002; Zhi Jin; Ge Li 001; Chen Lyu 001 (ASE, 2024)

HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. - Zejun Wang; Kaibo Liu; Ge Li 001; Zhi Jin (ASE, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 011; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (NeurIPS, 2024)

Deep learning for code generation: a survey. - Huangzhao Zhang; Kechi Zhang; Zhuo Li; Jia Li; Jia Li; Yongmin Li; Yunfei Zhao; Yuqi Zhu; Fang Liu 032; Ge Li 001; Zhi Jin (Sci. China Inf. Sci., 2024)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. - Yihong Dong; Xue Jiang; Huanyu Liu; Zhi Jin; Ge Li 001 (CoRR, 2024)

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. - Xue Jiang; Yihong Dong; Zhi Jin; Ge Li 001 (CoRR, 2024)

Evaluating Large Language Models with Runtime Behavior of Program Execution. - Junkai Chen; Zhiyuan Pan; Xing Hu 008; Zhenhao Li 002; Ge Li 001; Xin Xia 001 (CoRR, 2024)

HiRoPE: Length Extrapolation for Code Models. - Kechi Zhang; Ge Li 001; Huangzhao Zhang; Zhi Jin (CoRR, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 011; Ge Li 001; Xuanming Zhang; Yihong Dong; Zhi Jin (CoRR, 2024)

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. - Qianhui Zhao; Fang Liu 032; Li Zhang 029; Yang Liu 003; Zhen Yan; Zhenghao Chen; Yufei Zhou; Jing Jiang 005; Ge Li 001 (CoRR, 2024)

LLM-Powered Test Case Generation for Detecting Tricky Bugs. - Kaibo Liu; Yiyang Liu; Zhenpeng Chen; Jie M. Zhang; Yudong Han; Yun Ma 002; Ge Li 001; Gang Huang 001 (CoRR, 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (CoRR, 2024)

M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. - Ziliang Wang; Ge Li 001; Jia Li 012; Meng Yan 001; Yingfei Xiong 001; Zhi Jin (CoRR, 2024)

Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection. - Ziliang Wang; Ge Li 001; Jia Li 012; Yihong Dong; Yingfei Xiong 001; Zhi Jin (CoRR, 2024)

Python Symbolic Execution with LLM-powered Code Generation. - Wenhan Wang; Kaibo Liu; An Ran Chen; Ge Li 001; Zhi Jin; Gang Huang 001; Lei Ma 003 (CoRR, 2024)

FAN: Fourier Analysis Networks. - Yihong Dong; Ge Li 001; Yongding Tao; Xue Jiang; Kechi Zhang; Jia Li 012; Jing Su; Jun Zhang; Jingjing Xu (CoRR, 2024)

Showing LLM-Generated Code Selectively Based on Confidence of LLMs. - Jia Li 012; Yuqi Zhu; Yongmin Li; Ge Li 001; Zhi Jin (CoRR, 2024)

Generating Equivalent Representations of Code By A Self-Reflection Approach. - Jia Li 012; Ge Li 001; Lecheng Wang; Hao Zhu; Zhi Jin (CoRR, 2024)

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. - Pengyu Xue; Linhao Wu; Zhen Yang 022; Xinyi Li; Zhongxing Yu; Zhi Jin; Ge Li 001; Yan Xiao 002; Jingwen Wu (CoRR, 2024)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion. - Siyuan Jiang; Jia Li 012; He Zong; Huanyu Liu; Hao Zhu; Shukai Hu; Erlu Li; Jiazheng Ding; Yu Han; Wei Ning; Gen Wang; Yihong Dong; et al. (CoRR, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 012; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. - Xue Jiang; Yihong Dong; Yongding Tao; Huanyu Liu; Zhi Jin; Wenpin Jiao; Ge Li 001 (CoRR, 2024)

Why language models collapse when trained on recursively generated text. - Lecheng Wang; Xianjie Shi; Ge Li 001; Jia Li 012; Yihong Dong; Xuanming Zhang; Wenpin Jiao; Hong Mei 001 (CoRR, 2024)

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. - Bolun Li; Zhihong Sun; Tao Huang; Hongyu Zhang 002; Yao Wan 001; Ge Li 001; Zhi Jin; Chen Lyu 001 (Proc. ACM Softw. Eng., 2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. - Zhen Yang 022; Fang Liu 032; Zhongxing Yu; Jacky Wai Keung; Jia Li 011; Shuo Liu; Yifan Hong; Xiaoxue Ma; Zhi Jin; Ge Li 001 (Proc. ACM Softw. Eng., 2024)

Improving domain-specific neural code generation with few-shot meta-learning. - Zhen Yang 022; Jacky Wai Keung; Zeyu Sun 004; Yunfei Zhao; Ge Li 001; Zhi Jin; Shuo Liu; Yishu Li (Inf. Softw. Technol., 2024)

CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model. - Huangzhao Zhang; Shuai Lu; Zhuo Li; Zhi Jin; Lei Ma 003; Yang Liu 003; Ge Li 001 (J. Softw. Evol. Process., 2024)

Poison Attack and Poison Detection on Deep Source Code Processing Models. - Jia Li 011; Zhuo Li; Huangzhao Zhang; Ge Li 001; Zhi Jin; Xing Hu 008; Xin Xia 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Non-Autoregressive Line-Level Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao; Li Zhang 029 (ACM Trans. Softw. Eng. Methodol., 2024)

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. - Xin-Cheng Wen; Cuiyun Gao 001; Feng Luo; Haoyu Wang 001; Ge Li 001; Qing Liao 001 (IEEE Trans. Software Eng., 2024)

WELL: Applying bug detectors to bug localization via weakly supervised learning. - Huangzhao Zhang; Zhuo Li; Jia Li 012; Zhi Jin; Ge Li 001 (J. Softw. Evol. Process., 2024)

Self-Collaboration Code Generation via ChatGPT. - Yihong Dong; Xue Jiang; Zhi Jin; Ge Li 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Self-Planning Code Generation with Large Language Models. - Xue Jiang; Yihong Dong; Lecheng Wang; Zheng Fang; Qiwei Shang; Ge Li 001; Zhi Jin; Wenpin Jiao (ACM Trans. Softw. Eng. Methodol., 2024)

AceCoder: An Effective Prompting Technique Specialized in Code Generation. - Jia Li 011; Yunfei Zhao; Yongmin Li; Ge Li 001; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2024)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. - Kaibo Liu; Zhenpeng Chen; Yiyang Liu; Jie M. Zhang; Mark Harman; Yudong Han; Yun Ma 002; Yihong Dong; Ge Li 001; Gang Huang 001 (ACL (1), 2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. - Kechi Zhang; Ge Li 001; Yihong Dong; Jingjing Xu; Jun Zhang; Jing Su; Yongfei Liu; Zhi Jin (ACL (1), 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li 011; Yihong Dong; Zhi Jin (ACL (Findings), 2025)

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model. - Yuqi Zhu; Ge Li 001; Xue Jiang; Jia Li 012; Hong Mei 001; Zhi Jin; Yihong Dong; Qibin Zheng (ICIC (23), 2025)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing. - Siyuan Jiang; Jia Li 012; He Zong; Huanyu Liu; Hao Zhu; Shukai Hu; Erlu Li; Jiazheng Ding; Yu Han; Wei Ning; Ge Li 001 (SEIP@ICSE, 2025)

Reasoning Runtime Behavior of a Program with LLM: How Far are We? - Junkai Chen; Zhiyuan Pan; Xing Hu 008; Zhenhao Li 002; Ge Li 001; Xin Xia 001 (ICSE, 2025)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. - Xue Jiang; Yihong Dong; Yongding Tao; Huanyu Liu; Zhi Jin; Ge Li 001 (ICSE, 2025)

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing. - Yuwei Zhang 003; Zhi Jin; Ying Xing; Ge Li 001; Fang Liu 032; Jiaxin Zhu; Wensheng Dou; Jun Wei 001 (CoRR, 2025)

SAGA: Summarization-Guided Assert Statement Generation. - Yuwei Zhang 003; Zhi Jin; Ze-Jun Wang; Ying Xing; Ge Li 001 (J. Comput. Sci. Technol., 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li; Yihong Dong; Jia Li; Zhi Jin (CoRR, 2025)

FANformer: Improving Large Language Models Through Effective Periodicity Modeling. - Yihong Dong; Ge Li 001; Xue Jiang; Yongding Tao; Kechi Zhang; Hao Zhu; Huanyu Liu; Jiazheng Ding; Jia Li 012; Jinliang Deng; Hong Mei 001 (CoRR, 2025)

Structured Chain-of-Thought Prompting for Code Generation. - Jia Li 011; Ge Li 001; Yongmin Li; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2025)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding. - Jia Li; Xuyuan Guo; Lei Li; Kechi Zhang; Ge Li 001; Jia Li; Zhengwei Tao; Fang Liu 032; Chongyang Tao; Yuqi Zhu; Zhi Jin (CoRR, 2025)

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion. - Jia Li 012; Hao Zhu; Huanyu Liu; Xianjie Shi; He Zong; Yihong Dong; Kechi Zhang; Siyuan Jiang; Zhi Jin; Ge Li 001 (CoRR, 2025)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs. - Yuqi Zhu; Ge Li 001; Xue Jiang; Jia Li; Hong Mei 001; Zhi Jin; Yihong Dong (CoRR, 2025)

SEAlign: Alignment Training for Software Engineering Agent. - Kechi Zhang; Huangzhao Zhang; Ge Li 001; Jinliang You; Jia Li; Yunfei Zhao; Zhi Jin (CoRR, 2025)

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators. - Yuchen Liu; Junhao Hu; Yingdi Shan; Ge Li 001; Yanzhen Zou; Yihong Dong; Tao Xie 001 (CoRR, 2025)

Transformer-based code model with compressed hierarchy representation. - Kechi Zhang; Jia Li; Zhuo Li; Zhi Jin; Ge Li 001 (Empir. Softw. Eng., 2025)

CodeScore: Evaluating Code Generation by Learning Code Execution. - Yihong Dong; Jiazheng Ding; Xue Jiang; Ge Li 001; Zhuo Li; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2025)

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation. - Jia Li 011; Xianjie Shi; Kechi Zhang; Lei Li; Ge Li 001; Zhengwei Tao; Jia Li 012; Fang Liu 032; Chongyang Tao; Zhi Jin (CoRR, 2025)

Rethinking Repetition Problems of LLMs in Code Generation. - Yihong Dong; Yuchen Liu; Xue Jiang; Zhi Jin; Ge Li 001 (CoRR, 2025)

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning. - Huanyu Liu; Jia Li; Hao Zhu; Kechi Zhang; Yihong Dong; Ge Li 001 (CoRR, 2025)

Computational Thinking Reasoning in Large Language Models. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Jingjing Xu; Hao Zhu; Lecheng Wang; Jia Li; Yihong Dong; Jing Mai; Bin Gu; Zhi Jin (CoRR, 2025)

Large Language Model Unlearning for Source Code. - Xue Jiang; Yihong Dong; Zheng Fang; Yingwei Ma; Tangxinyu Wang; Rongyu Cao; Binhua Li; Zhi Jin; Wenpin Jiao; Yongbin Li; Ge Li 001 (CoRR, 2025)

SCodeSearcher: soft contrastive learning for code search. - Jia Li; Zheng Fang; Xianjie Shi; Zhi Jin; Fang Liu 032; Jia Li; Yunfei Zhao; Ge Li 001 (Empir. Softw. Eng., 2025)

StackTrans: From Large Language Model to Large Pushdown Automata Model. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Yihong Dong; Jia Li; Jingjing Xu; Zhi Jin (CoRR, 2025)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Yihong Dong; Xue Jiang; Yongding Tao; Huanyu Liu; Kechi Zhang; Lili Mou; Rongyu Cao; Yingwei Ma; Jue Chen; Binhua Li; Zhi Jin; Fei Huang 002; et al. (CoRR, 2025)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Chongyang Tao; Jia Li Male; Ge Li 001; Zhi Jin; Huangzhao Zhang; Zheng Fang; Fang Liu 032 (ACM Trans. Softw. Eng. Methodol., 2025)