Ge Li

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 109

Top Venues

CoRR

ICPC

KSEM

ACM Trans. Softw. Eng. Methodol.

Publications

Xue Jiang, Yihong Dong, Zhi Jin, Ge Li
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. CoRR (2024)
Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. CoRR (2024)
Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE (2024)
Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. AAAI (2024)
Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin
Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection. CoRR (2024)
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR (2024)
Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin
M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. CoRR (2024)
Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. ACL (1) (2024)
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. CoRR (2024)
Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu
Knowledge-Aware Code Generation with Large Language Models. ICPC (2024)
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. ACL (Findings) (2024)
Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. IEEE Trans. Software Eng. 50 (6) (2024)
Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. LREC/COLING (2024)
Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR (2024)
Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li
Improving domain-specific neural code generation with few-shot meta-learning. Inf. Softw. Technol. 166 (2024)
Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. ACL (1) (2024)
Huangzhao Zhang, Shuai Lu, Zhuo Li, Zhi Jin, Lei Ma, Yang Liu, Ge Li
CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model. J. Softw. Evol. Process. 36 (3) (2024)
Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. CoRR (2024)
Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu
KareCoder: A New Knowledge-Enriched Code Generation System. ICSE Companion (2024)
Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang
Non-Autoregressive Line-Level Code Completion. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR (2024)
Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin
HiRoPE: Length Extrapolation for Code Models. CoRR (2024)
Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR (2023)
Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin
Large Language Model-Aware In-Context Learning for Code Generation. CoRR (2023)
Yuqi Zhu, Jia Allen Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
Improving Code Generation by Dynamic Temperature Sampling. CoRR (2023)
Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu
SkCoder: A Sketch-based Approach for Automatic Code Generation. ICSE (2023)
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Allen Li, Ge Li
ZC3: Zero-Shot Cross-Language Code Clone Detection. CoRR (2023)
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
: Zero-Shot Cross-Language Code Clone Detection. ASE (2023)
Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li
WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning. CoRR (2023)
Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. CoRR (2023)
Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. ICPC (2023)
Yunfei Zhao, Yihong Dong, Ge Li
Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. Internetware (2023)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
Learning Program Representations with a Tree-Structured Transformer. SANER (2023)
Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR (2023)
Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu
CodeEditor: Learning to Edit Source Code with Pre-trained Models. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Yihong Dong, Ge Li, Zhi Jin
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. ISSTA (2023)
Yihong Dong, Xue Jiang, Zhi Jin, Ge Li
Self-collaboration Code Generation via ChatGPT. CoRR (2023)
Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. CoRR (2023)
Kechi Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin
ToolCoder: Teach Code Generation Models to use API search tools. CoRR (2023)
Huangzhao Zhang, Zhiyi Fu, Ge Li, Lei Ma, Zhehao Zhao, Hua'an Yang, Yizhe Sun, Yang Liu, Zhi Jin
Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. 27 (4) (2022)
Han Peng, Ge Li, Yunfei Zhao, Zhi Jin
Rethinking Positional Encoding in Tree Transformer for Code Representation. EMNLP (2022)
Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
Learning to Recommend Method Names with Global Context. CoRR (2022)
Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang
Deep Learning Based Program Generation From Requirements Text: Are We There Yet? IEEE Trans. Software Eng. 48 (4) (2022)
Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang
Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. ICSE (2022)
Kechi Zhang, Ge Li, Zhi Jin
What does Transformer learn about source code? CoRR (2022)
Yiyang Hao, Ge Li, Yongqiang Liu, Xiaowei Miao, He Zong, Siyuan Jiang, Yang Liu, He Wei
AixBench: A Code Generation Benchmark Dataset. CoRR (2022)
Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. NeurIPS (2022)
Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. J. Syst. Softw. 184 (2022)
Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin
Learning to represent programs with heterogeneous graphs. ICPC (2022)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu
A Tree-structured Transformer for Program Representation Learning. CoRR (2022)
Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
Learning to Recommend Method Names with Global Context. ICSE (2022)
Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao
Non-autoregressive Model for Full-line Code Completion. CoRR (2022)
Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE (2021)
Jingxuan Zhang, He Jiang, Shuai Lu, Ge Li, Xin Chen
DeepDir: a deep learning approach for API directive detection. Sci. China Inf. Sci. 64 (9) (2021)
Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin
Integrating Tree Path in Transformer for Code Representation. NeurIPS (2021)
Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
Modular Tree Network for Source Code Representation Learning. CoRR (2021)
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks (2021)
Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. CoRR (2021)
Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin
Multi-task Learning based Pre-trained Language Model for Code Completion. CoRR (2020)
Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR (2020)
Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin
Multi-task Learning based Pre-trained Language Model for Code Completion. ASE (2020)
Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE (2020)
Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29 (4) (2020)
Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin
Towards Full-line Code Completion with Neural Language Models. CoRR (2020)
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR (2020)
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
NLocalSAT: Boosting Local Search with Solution Prediction. CoRR (2020)
Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang
LSTM-based argument recommendation for non-API methods. Sci. China Inf. Sci. 63 (9) (2020)
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC (2020)
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI (2020)
Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. 25 (3) (2020)
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER (2020)
Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin
Learning to Represent Programs with Heterogeneous Graphs. CoRR (2020)
Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. AAAI (2020)
Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE (2020)
Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang
Neural detection of semantic code clones via tree-based convolution. ICPC (2019)
Xing Hu, Rui Men, Ge Li, Zhi Jin
Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. COMPSAC (1) (2019)
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP (2019)
Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
Code Generation as a Dual Task of Code Summarization. CoRR (2019)
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
A Grammar-Based Structural CNN Decoder for Code Generation. AAAI (2019)
Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
Code Generation as a Dual Task of Code Summarization. NeurIPS (2019)
Xiaochen Li, He Jiang, Dong Liu, Zhilei Ren, Ge Li
Unsupervised deep bug report summarization. ICPC (2018)
Tao Xie, He Jiang, Ge Li, Tianyu Wo, Rahul Pandita, Chang Xu, Lihua Xu
Preface. J. Comput. Sci. Technol. 33 (5) (2018)
Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
Summarizing Source Code with Transferred API Knowledge. IJCAI (2018)
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
A Grammar-Based Structural CNN Decoder for Code Generation. CoRR (2018)
Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
Deep code comment generation. ICPC (2018)
Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin
Learning to Infer API Mappings from API Documents. KSEM (2017)
Yunchuan Chen, Ge Li, Zhi Jin
Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations. KSEM (2017)
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR (2017)
Wenhao Huang, Ge Li, Zhi Jin
Improved Knowledge Base Completion by the Path-Augmented TransR Model. KSEM (2017)
Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. COLING (2016)
Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
Compressing Neural Language Models by Sparse Word Representations. CoRR (2016)
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
How Transferable are Neural Networks in NLP Applications? EMNLP (2016)
Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin
Distilling Word Embeddings: An Encoding Approach. CIKM (2016)
Qiang Wei, Zhi Jin, Lixing Li, Ge Li
Lightweight semantic service modelling for IoT: an environment-based approach. Int. J. Embed. Syst. 8 (2/3) (2016)
Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ge Li