Ge Li - RankMe

257 papers A* 35A 15B 6C 12Misc 1Journal 157Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do Transformers Have the Ability for Periodicity Generalization? CoRR Huanyu Liu, Ge Li, Yihong Dong, Sihan Wu, Peixu Wang, Sihao Cheng, Taozhi Chen, Kechi Zhang, Hao Zhu, Tongxuan Liu
2026	J	`jnl`	IntentCoding: Amplifying User Intent in Code Generation. CoRR Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li
2026	J	`jnl`	KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development? CoRR Xue Jiang, Jiaru Qian, Xianjie Shi, Chenjie Li, Hao Zhu, Ziyu Wang, Jielun Zhang, Zheyu Zhao, Kechi Zhang, Jia Li, Wenpin Jiao, Zhi Jin, Ge Li, Yihong Dong
2026	A*	`conf`	Large Language Model Unlearning for Source Code. AAAI Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li
2026	J	`jnl`	PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing. ACM Trans. Softw. Eng. Methodol. Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei
2026	J	`jnl`	Peer-aided repairer: empowering large language models to repair advanced student assignments. Empir. Softw. Eng. Qianhui Zhao, Li Zhang, Fang Liu, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma
2026	J	`jnl`	Think Anywhere in Code Generation. CoRR Xue Jiang, Tianyu Zhang, Ge Li, Mengyang Liu, Taozhi Chen, Zhenhua Xu, Binhua Li, Wenpin Jiao, Zhi Jin, Yongbin Li, Yihong Dong
2025	J	`jnl`	A Survey on Code Generation with LLM-based Agents. CoRR Yihong Dong, Xue Jiang, Jiaru Qian, Tian Wang, Kechi Zhang, Zhi Jin, Ge Li
2025	J	`jnl`	AdapTrack: Constrained Decoding without Distorting LLM's Output Intent. CoRR Yongmin Li, Jia Li, Ge Li, Zhi Jin
2025	A*	`conf`	Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion. ASE Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li
2025	—	`conf`	Benchmarking Long-Context Language Models on Long Code Understanding. ACL (1) Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin
2025	J	`jnl`	Can Large Language Models Solve Path Constraints in Symbolic Execution? CoRR Wenhan Wang, Kaibo Liu, Zeyu Sun, An Ran Chen, Ge Li, Gang Huang, Lei Ma
2025	—	`conf`	CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. ACL (1) Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin
2025	J	`jnl`	CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation. CoRR Jia Li, Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, Chongyang Tao, Zhi Jin
2025	J	`jnl`	CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment. CoRR Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Fei Huang, Yongbin Li, Ge Li
2025	J	`jnl`	CodeScore: Evaluating Code Generation by Learning Code Execution. ACM Trans. Softw. Eng. Methodol. Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li, Zhi Jin
2025	J	`jnl`	Computational Thinking Reasoning in Large Language Models. CoRR Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Yihong Dong, Jing Mai, Bin Gu, Zhi Jin
2025	A*	`conf`	Dataflow-Guided Neuro-Symbolic Language Models for Type Inference. ICML Ge Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang
2025	J	`jnl`	Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models. CoRR Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Xiaolong Hu, Ge Li
2025	J	`jnl`	Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation. CoRR Zhihong Sun, Jia Li, Yao Wan, Chuanyi Li, Hongyu Zhang, Zhi Jin, Ge Li, Hong Liu, Chen Lyu, Songlin Hu
2025	J	`jnl`	EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning. CoRR Huanyu Liu, Jia Li, Chang Yu, Taozhi Chen, Yihong Dong, Lecheng Wang, Xiaolong Hu, Ge Li
2025	J	`jnl`	FANformer: Improving Large Language Models Through Effective Periodicity Modeling. CoRR Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei
2025	—	`conf`	Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. ACL (Findings) Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Zhi Jin
2025	J	`jnl`	Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. CoRR Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Zhi Jin
2025	J	`jnl`	GramTrans: A Better Code Representation Approach in Code Generation. CoRR Zhao Zhang, Qingyuan Liang, Zeyu Sun, Yizhou Chen, Guoqing Wang, Yican Sun, Lu Zhang, Ge Li, Yingfei Xiong
2025	—	`conf`	LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. ACL (1) Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang
2025	J	`jnl`	LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators. CoRR Yuchen Liu, Junhao Hu, Yingdi Shan, Ge Li, Yanzhen Zou, Yihong Dong, Tao Xie
2025	J	`jnl`	LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding. CoRR Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin
2025	J	`jnl`	Large Language Model Unlearning for Source Code. CoRR Xue Jiang, Yihong Dong, Zheng Fang, Yingwei Ma, Tangxinyu Wang, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li
2025	J	`jnl`	Large Language Model-Aware In-Context Learning for Code Generation. ACM Trans. Softw. Eng. Methodol. Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, Fang Liu
2025	—	`conf`	Line-level Semantic Structure Learning for Code Vulnerability Detection. Internetware Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin
2025	J	`jnl`	PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing. CoRR Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei
2025	—	`ed.`	Proceedings of the 16th International Conference on Internetware, Internetware 2025, Trondheim, Norway, June 20-22, 2025 Internetware Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Thomas Zimmermann, Ge Li, Lei Bu, Xin Xia
2025	J	`jnl`	RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. CoRR Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li
2025	A*	`conf`	ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. ICSE Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li
2025	A*	`conf`	Reasoning Runtime Behavior of a Program with LLM: How Far are We? ICSE Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2025	—	`conf`	Rethinking Repetition Problems of LLMs in Code Generation. ACL (1) Yihong Dong, Yuchen Liu, Xue Jiang, Bin Gu, Zhi Jin, Ge Li
2025	J	`jnl`	Rethinking Repetition Problems of LLMs in Code Generation. CoRR Yihong Dong, Yuchen Liu, Xue Jiang, Zhi Jin, Ge Li
2025	J	`jnl`	SAGA: Summarization-Guided Assert Statement Generation. J. Comput. Sci. Technol. Yuwei Zhang, Zhi Jin, Ze-Jun Wang, Ying Xing, Ge Li
2025	J	`jnl`	SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning. CoRR Huanyu Liu, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong, Ge Li
2025	J	`jnl`	SCodeSearcher: soft contrastive learning for code search. Empir. Softw. Eng. Jia Li, Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Yunfei Zhao, Ge Li
2025	J	`jnl`	SEAlign: Alignment Training for Software Engineering Agent. CoRR Kechi Zhang, Huangzhao Zhang, Ge Li, Jinliang You, Jia Li, Yunfei Zhao, Zhi Jin
2025	J	`jnl`	Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model. CoRR Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhiyuan Fan, Jiaru Qian, Yongmin Li, Jianha Xiao, Zhi Jin, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li, Ge Li
2025	A*	`conf`	SemGuard: Real-Time Semantic Evaluator for Correcting LLM-Generated Code. ASE Qinglin Wang, Zhihong Sun, Ruyun Wang, Tao Huang, Zhi Jin, Ge Li, Chen Lyu
2025	J	`jnl`	SemGuard: Real-Time Semantic Evaluator for Correcting LLM-Generated Code. CoRR Qinglin Wang, Zhihong Sun, Ruyun Wang, Tao Huang, Zhi Jin, Ge Li, Chen Lyu
2025	J	`jnl`	Specification-Guided Vulnerability Detection with Large Language Models. CoRR Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li
2025	J	`jnl`	StackTrans: From Large Language Model to Large Pushdown Automata Model. CoRR Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jingjing Xu, Zhi Jin
2025	J	`jnl`	Structured Chain-of-Thought Prompting for Code Generation. ACM Trans. Softw. Eng. Methodol. Jia Li, Ge Li, Yongmin Li, Zhi Jin
2025	J	`jnl`	Transformer-based code model with compressed hierarchy representation. Empir. Softw. Eng. Kechi Zhang, Jia Li, Zhuo Li, Zhi Jin, Ge Li
2025	—	`conf`	UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model. ICIC (23) Yuqi Zhu, Ge Li, Xue Jiang, Jia Li, Hong Mei, Zhi Jin, Yihong Dong, Qibin Zheng
2025	J	`jnl`	Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs. CoRR Yuqi Zhu, Ge Li, Xue Jiang, Jia Li, Hong Mei, Zhi Jin, Yihong Dong
2025	J	`jnl`	VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection. CoRR Ziliang Wang, Ge Li, Jia Li, Hao Zhu, Zhi Jin
2025	J	`jnl`	aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion. CoRR Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li
2025	—	`conf`	aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing. SEIP@ICSE Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li
2024	J	`jnl`	AceCoder: An Effective Prompting Technique Specialized in Code Generation. ACM Trans. Softw. Eng. Methodol. Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin
2024	J	`jnl`	Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection. CoRR Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin
2024	—	`conf`	CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. ACL (1) Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin
2024	J	`jnl`	CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. CoRR Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin
2024	J	`jnl`	CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model. J. Softw. Evol. Process. Huangzhao Zhang, Shuai Lu, Zhuo Li, Zhi Jin, Lei Ma, Yang Liu, Ge Li
2024	J	`jnl`	CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. CoRR Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin
2024	J	`jnl`	Deep learning for code generation: a survey. Sci. China Inf. Sci. Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin
2024	—	`conf`	DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. ACL (Findings) 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
2024	J	`jnl`	DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR 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
2024	—	`conf`	Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. LREC/COLING Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
2024	J	`jnl`	Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. CoRR Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
2024	J	`jnl`	Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2024	J	`jnl`	EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin
2024	A*	`conf`	EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. NeurIPS Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
2024	J	`jnl`	EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. CoRR Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
2024	J	`jnl`	Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. CoRR Pengyu Xue, Linhao Wu, Zhen Yang, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Shuo Liu, Xinyi Li, Hongyi Lin, Jingwen Wu
2024	J	`jnl`	Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. CoRR Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024	J	`jnl`	Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. Proc. ACM Softw. Eng. Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024	J	`jnl`	FAN: Fourier Analysis Networks. CoRR Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu
2024	A*	`conf`	FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. ASE Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Zian Sun, Ge Li, Zhongqi Li, Yuchi Ma
2024	J	`jnl`	FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. CoRR Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma
2024	—	`conf`	Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. ACL (Findings) Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li
2024	J	`jnl`	Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. CoRR Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li
2024	J	`jnl`	Generating Equivalent Representations of Code By A Self-Reflection Approach. CoRR Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin
2024	A*	`conf`	HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. ASE Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin
2024	J	`jnl`	HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. CoRR Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin
2024	—	`conf`	HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. ACL (1) Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin
2024	J	`jnl`	HiRoPE: Length Extrapolation for Code Models. CoRR Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin
2024	A*	`conf`	Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. AAAI Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
2024	J	`jnl`	IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. CoRR Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
2024	J	`jnl`	IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. Proc. ACM Softw. Eng. Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
2024	J	`jnl`	Improving domain-specific neural code generation with few-shot meta-learning. Inf. Softw. Technol. Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li
2024	—	`conf`	KareCoder: A New Knowledge-Enriched Code Generation System. ICSE Companion Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu
2024	A	`conf`	Knowledge-Aware Code Generation with Large Language Models. ICPC Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu
2024	J	`jnl`	Knowledge-Aware Code Generation with Large Language Models. CoRR Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu
2024	J	`jnl`	LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. IEEE Trans. Software Eng. Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
2024	J	`jnl`	LLM-Powered Test Case Generation for Detecting Tricky Bugs. CoRR Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang
2024	A*	`conf`	Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2024	J	`jnl`	M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. CoRR Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin
2024	J	`jnl`	Non-Autoregressive Line-Level Code Completion. ACM Trans. Softw. Eng. Methodol. Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang
2024	—	`conf`	PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. ACL (Findings) Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li
2024	J	`jnl`	Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. CoRR Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li
2024	J	`jnl`	Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
2024	J	`jnl`	Python Symbolic Execution with LLM-powered Code Generation. CoRR Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma
2024	J	`jnl`	ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. CoRR Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Wenpin Jiao, Ge Li
2024	J	`jnl`	SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. CoRR Xue Jiang, Yihong Dong, Zhi Jin, Ge Li
2024	J	`jnl`	Self-Collaboration Code Generation via ChatGPT. ACM Trans. Softw. Eng. Methodol. Yihong Dong, Xue Jiang, Zhi Jin, Ge Li
2024	J	`jnl`	Self-Planning Code Generation with Large Language Models. ACM Trans. Softw. Eng. Methodol. Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, Wenpin Jiao
2024	J	`jnl`	Showing LLM-Generated Code Selectively Based on Confidence of LLMs. CoRR Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin
2024	A*	`conf`	Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. ASE Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024	J	`jnl`	Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. CoRR Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024	J	`jnl`	WELL: Applying bug detectors to bug localization via weakly supervised learning. J. Softw. Evol. Process. Huangzhao Zhang, Zhuo Li, Jia Li, Zhi Jin, Ge Li
2024	J	`jnl`	Why language models collapse when trained on recursively generated text. CoRR Lecheng Wang, Xianjie Shi, Ge Li, Jia Li, Yihong Dong, Xuanming Zhang, Wenpin Jiao, Hong Mei
2024	J	`jnl`	aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion. CoRR Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Gen Wang, Yihong Dong, Kechi Zhang, Ge Li
2023	J	`jnl`	An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2023	A	`conf`	Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. ECAI Yihong Dong, Ge Li, Xue Jiang, Zhi Jin
2023	J	`jnl`	Automated Static Warning Identification via Path-based Semantic Representation. CoRR Yuwei Zhang, Ying Xing, Ge Li, Zhi Jin
2023	A	`conf`	CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. ISSTA Yihong Dong, Ge Li, Zhi Jin
2023	J	`jnl`	ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation. CoRR Zejun Wang, Jia Li, Ge Li, Zhi Jin
2023	J	`jnl`	CodeEditor: Learning to Edit Source Code with Pre-trained Models. ACM Trans. Softw. Eng. Methodol. Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu
2023	J	`jnl`	CodeScore: Evaluating Code Generation by Learning Code Execution. CoRR Yihong Dong, Jiazheng Ding, Xue Jiang, Zhuo Li, Ge Li, Zhi Jin
2023	J	`jnl`	Deep Learning Based Code Generation Methods: A Literature Review. CoRR Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, Rongcong Lv
2023	J	`jnl`	EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
2023	J	`jnl`	Enabling Programming Thinking in Large Language Models Toward Code Generation. CoRR Jia Li, Ge Li, Yongmin Li, Zhi Jin
2023	A	`conf`	Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. ICPC Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li
2023	J	`jnl`	Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. CoRR Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li
2023	J	`jnl`	Improving Code Generation by Dynamic Temperature Sampling. CoRR Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
2023	J	`jnl`	LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. CoRR Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
2023	J	`jnl`	Large Language Model-Aware In-Context Learning for Code Generation. CoRR Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin
2023	A	`conf`	Learning Program Representations with a Tree-Structured Transformer. SANER Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
2023	—	`conf`	MCodeSearcher: Multi-View Contrastive Learning for Code Search. Internetware Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin
2023	J	`jnl`	Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism. CoRR Yuwei Zhang, Ge Li, Zhi Jin, Ying Xing
2023	J	`jnl`	PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. CoRR Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li
2023	J	`jnl`	SAGA: Summarization-Guided Assert Statement Generation. CoRR Yuwei Zhang, Zhi Jin, Zejun Wang, Ying Xing, Ge Li
2023	J	`jnl`	STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing. CoRR Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li
2023	—	`conf`	Self-Edit: Fault-Aware Code Editor for Code Generation. ACL (1) Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin
2023	J	`jnl`	Self-Edit: Fault-Aware Code Editor for Code Generation. CoRR Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin
2023	J	`jnl`	Self-collaboration Code Generation via ChatGPT. CoRR Yihong Dong, Xue Jiang, Zhi Jin, Ge Li
2023	J	`jnl`	Self-planning Code Generation with Large Language Model. CoRR Xue Jiang, Yihong Dong, Lecheng Wang, Qiwei Shang, Ge Li
2023	—	`conf`	Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. Internetware Yunfei Zhao, Yihong Dong, Ge Li
2023	A*	`conf`	SkCoder: A Sketch-based Approach for Automatic Code Generation. ICSE Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu
2023	J	`jnl`	SkCoder: A Sketch-based Approach for Automatic Code Generation. CoRR Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu
2023	J	`jnl`	TACO: Topics in Algorithmic COde generation dataset. CoRR Rongao Li, Jie Fu, Bo-Wen Zhang, Tao Huang, Zhihong Sun, Chen Lyu, Guang Liu, Zhi Jin, Ge Li
2023	J	`jnl`	ToolCoder: Teach Code Generation Models to use API search tools. CoRR Kechi Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin
2023	J	`jnl`	Towards Enhancing In-Context Learning for Code Generation. CoRR Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin
2023	J	`jnl`	WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning. CoRR Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li
2023	A*	`conf`	ZC ASE Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2023	J	`jnl`	ZC3: Zero-Shot Cross-Language Code Clone Detection. CoRR Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2022	J	`jnl`	A Tree-structured Transformer for Program Representation Learning. CoRR Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu
2022	J	`jnl`	A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2022	J	`jnl`	AixBench: A Code Generation Benchmark Dataset. CoRR Yiyang Hao, Ge Li, Yongqiang Liu, Xiaowei Miao, He Zong, Siyuan Jiang, Yang Liu, Wei He
2022	J	`jnl`	Antecedent Predictions Are Dominant for Tree-Based Code Generation. CoRR Yihong Dong, Ge Li, Zhi Jin
2022	J	`jnl`	Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang
2022	—	`conf`	Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang
2022	J	`jnl`	Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. ACM Trans. Softw. Eng. Methodol. Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie
2022	A*	`conf`	Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. ICSE Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang
2022	J	`jnl`	CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. CoRR Yihong Dong, Ge Li, Zhi Jin
2022	J	`jnl`	CodeEditor: Learning to Edit Source Code with Pre-trained Models. CoRR Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu
2022	J	`jnl`	Deep Learning Based Program Generation From Requirements Text: Are We There Yet? IEEE Trans. Software Eng. Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang
2022	A*	`conf`	Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. NeurIPS Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin
2022	J	`jnl`	Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. CoRR Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin
2022	J	`jnl`	Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation. CoRR Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li
2022	—	`conf`	Incorporating domain knowledge through task augmentation for front-end JavaScript code generation. ESEC/SIGSOFT FSE Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li
2022	A*	`conf`	Learning to Recommend Method Names with Global Context. ICSE Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
2022	J	`jnl`	Learning to Recommend Method Names with Global Context. CoRR Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
2022	A	`conf`	Learning to represent programs with heterogeneous graphs. ICPC Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin
2022	J	`jnl`	Non-autoregressive Model for Full-line Code Completion. CoRR Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao
2022	J	`jnl`	Poison Attack and Defense on Deep Source Code Processing Models. CoRR Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
2022	J	`jnl`	Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. J. Syst. Softw. Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin
2022	J	`jnl`	Preface. J. Comput. Sci. Technol. Tao Xie, Shengchao Qin, Wenhui Zhang, Jun Sun, Lei Bu, Ge Li
2022	A*	`conf`	Rethinking Positional Encoding in Tree Transformer for Code Representation. EMNLP Han Peng, Ge Li, Yunfei Zhao, Zhi Jin
2022	A	`conf`	SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. CIKM Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao
2022	J	`jnl`	Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement. ACM Trans. Softw. Eng. Methodol. Huangzhao Zhang, Zhiyi Fu, Ge Li, Lei Ma, Zhehao Zhao, Hua'an Yang, Yizhe Sun, Yang Liu, Zhi Jin
2022	J	`jnl`	What does Transformer learn about source code? CoRR Kechi Zhang, Ge Li, Zhi Jin
2021	—	`conf`	CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR 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
2021	J	`jnl`	DeepDir: a deep learning approach for API directive detection. Sci. China Inf. Sci. Jingxuan Zhang, He Jiang, Shuai Lu, Ge Li, Xin Chen
2021	A*	`conf`	EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
2021	A*	`conf`	Integrating Tree Path in Transformer for Code Representation. NeurIPS Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin
2021	J	`jnl`	Modular Tree Network for Source Code Representation Learning. CoRR Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
2021	J	`jnl`	Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks. CoRR Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin
2020	A	`conf`	A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2020	J	`jnl`	Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
2020	—	`conf`	DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo
2020	A	`conf`	Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	J	`jnl`	Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	A*	`conf`	Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. AAAI Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin
2020	J	`jnl`	LSTM-based argument recommendation for non-API methods. Sci. China Inf. Sci. Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang
2020	J	`jnl`	Learning to Represent Programs with Heterogeneous Graphs. CoRR Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin
2020	J	`jnl`	Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
2020	A*	`conf`	Multi-task Learning based Pre-trained Language Model for Code Completion. ASE Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin
2020	J	`jnl`	Multi-task Learning based Pre-trained Language Model for Code Completion. CoRR Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin
2020	A*	`conf`	NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
2020	J	`jnl`	NLocalSAT: Boosting Local Search with Solution Prediction. CoRR Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
2020	A*	`conf`	Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
2020	J	`jnl`	Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
2020	J	`jnl`	Towards Full-line Code Completion with Neural Language Models. CoRR Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin
2019	A*	`conf`	A Grammar-Based Structural CNN Decoder for Code Generation. AAAI Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
2019	A*	`conf`	Code Generation as a Dual Task of Code Summarization. NeurIPS Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
2019	J	`jnl`	Code Generation as a Dual Task of Code Summarization. CoRR Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
2019	—	`conf`	Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. COMPSAC (1) Xing Hu, Rui Men, Ge Li, Zhi Jin
2019	A	`conf`	Neural detection of semantic code clones via tree-based convolution. ICPC Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang
2019	Misc	`conf`	Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2018	J	`jnl`	A Grammar-Based Structural CNN Decoder for Code Generation. CoRR Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
2018	J	`jnl`	Deep Learning in Software Engineering. CoRR Xiaochen Li, He Jiang, Zhilei Ren, Ge Li, Jingxuan Zhang
2018	A	`conf`	Deep code comment generation. ICPC Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
2018	J	`jnl`	Preface. J. Comput. Sci. Technol. Tao Xie, He Jiang, Ge Li, Tianyu Wo, Rahul Pandita, Chang Xu, Lihua Xu
2018	A*	`conf`	Summarizing Source Code with Transferred API Knowledge. IJCAI Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
2018	A	`conf`	Unsupervised deep bug report summarization. ICPC Xiaochen Li, He Jiang, Dong Liu, Zhilei Ren, Ge Li
2017	C	`conf`	Improved Knowledge Base Completion by the Path-Augmented TransR Model. KSEM Wenhao Huang, Ge Li, Zhi Jin
2017	C	`conf`	Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations. KSEM Yunchuan Chen, Ge Li, Zhi Jin
2017	C	`conf`	Learning to Infer API Mappings from API Documents. KSEM Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin
2017	J	`jnl`	Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2016	—	`conf`	Compressing Neural Language Models by Sparse Word Representations. ACL (1) Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
2016	J	`jnl`	Compressing Neural Language Models by Sparse Word Representations. CoRR Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin
2016	C	`conf`	Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. KSEM Zhao Meng, Lili Mou, Ge Li, Zhi Jin
2016	A*	`conf`	Convolutional Neural Networks over Tree Structures for Programming Language Processing. AAAI Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin
2016	A	`conf`	Distilling Word Embeddings: An Encoding Approach. CIKM Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin
2016	A*	`conf`	How Transferable are Neural Networks in NLP Applications? EMNLP Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2016	J	`jnl`	How Transferable are Neural Networks in NLP Applications? CoRR Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2016	J	`jnl`	Improved Knowledge Base Completion by Path-Augmented TransR Model. CoRR Wenhao Huang, Ge Li, Zhi Jin
2016	J	`jnl`	Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation. CoRR Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2016	B	`conf`	Improved relation classification by deep recurrent neural networks with data augmentation. COLING Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2016	C	`conf`	Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing. KSEM Yangyang Lu, Ge Li, Rui Miao, Zhi Jin
2016	J	`jnl`	Lightweight semantic service modelling for IoT: an environment-based approach. Int. J. Embed. Syst. Qiang Wei, Zhi Jin, Lixing Li, Ge Li
2016	—	`conf`	Natural Language Inference by Tree-Based Convolution and Heuristic Matching. ACL (2) Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin
2016	B	`conf`	Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. COLING Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2016	J	`jnl`	Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. CoRR Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2015	A*	`conf`	A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. EMNLP Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2015	J	`jnl`	A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. CoRR Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin
2015	J	`jnl`	Backbone Language Modeling for Constrained Natural Language Generation. CoRR Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin
2015	C	`conf`	Building Program Vector Representations for Deep Learning. KSEM Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin
2015	J	`jnl`	Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. CoRR Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin
2015	A*	`conf`	Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. EMNLP Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin
2015	A*	`conf`	Discriminative Neural Sentence Modeling by Tree-Based Convolution. EMNLP Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2015	J	`jnl`	Distilling Word Embeddings: An Encoding Approach. CoRR Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2015	J	`jnl`	On End-to-End Program Generation from User Intention by Deep Neural Networks. CoRR Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin
2015	J	`jnl`	Recognizing Entailment and Contradiction by Tree-based Convolution. CoRR Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin
2015	J	`jnl`	Tree-based Convolution: A New Neural Architecture for Sentence Modeling. CoRR Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin
2014	J	`jnl`	Building Program Vector Representations for Deep Learning. CoRR Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang
2014	J	`jnl`	Learning Non-Taxonomic Relations on Demand for Ontology Extension. Int. J. Softw. Eng. Knowl. Eng. Yan Xu, Ge Li, Lili Mou, Yangyang Lu
2014	J	`jnl`	TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. CoRR Lili Mou, Ge Li, Zhi Jin, Lu Zhang, Tao Wang
2014	C	`conf`	Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. KSEM Lili Mou, Ge Li, Zhi Jin, Lu Zhang
2013	B	`conf`	A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces. ICSR Yangyang Lu, Ge Li, Zhi Jin, Xueyuan Xing, Yiyang Hao
2013	B	`conf`	Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. COMPSAC Lili Mou, Ge Li, Zhi Jin
2013	A*	`conf`	MCT: a tool for commenting programs by multimedia comments. ICSE Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin
2012	C	`conf`	Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. APSEC Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao
2012	A	`conf`	Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach. ICWS Lixing Li, Zhi Jin, Ge Li, Liwei Zheng, Qiang Wei
2011	—	`conf`	A process algebra for environment-based specification of web services. SOSE Lixing Li, Zhi Jin, Ge Li
2011	A*	`conf`	APIExample: An effective web search based usage example recommendation system for java APIs. ASE Lijie Wang, Lu Fang, Leye Wang, Ge Li, Bing Xie, Fuqing Yang
2011	C	`conf`	An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain. KSEM Ge Li, Zhi Jin, Yan Xu, Yangyang Lu
2011	C	`conf`	An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing. SEKE Ge Li, Zhi Jin
2010	C	`conf`	Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships. SEKE Lijie Wang, Leye Wang, Ge Li, Bing Xie
2010	—	`conf`	Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet. SOSE Lijie Wang, Fei Liu, Liangjie Zhang, Ge Li, Bing Xie
2009	—	`conf`	Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites. ICSOC/ServiceWave Lijie Wang, Fei Liu, Ge Li, Liang Gu, Liangjie Zhang, Bing Xie
2008	B	`conf`	Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories. ICSR Yan Li, Liangjie Zhang, Ge Li, Bing Xie, Jiasu Sun
2007	—	`conf`	A metamodel for the notation of graphical modeling languages. COMPSAC (1) Xiao He, Zhiyi Ma, Weizhong Shao, Ge Li
2007	A	`conf`	An Exploratory Study of Web Services on the Internet. ICWS Yan Li, Yao Liu, Liang-Jie Zhang, Ge Li, Bing Xie, Jiasu Sun
2007	C	`conf`	Ontology Based Classification Generating Method for Browsing-Based Component Retrieval. SEKE Ge Li, Lu Zhang, Bing Xie, Weizhong Shao
2007	—	`conf`	Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management. IEEE SCC Yanzhen Zou, Liang Gu, Ge Li, Bing Xie, Hong Mei
2007	A*	`conf`	Scheduling of conflicting refactorings to promote quality improvement. ASE Hui Liu, Ge Li, Zhiyi Ma, Weizhong Shao
2006	J	`jnl`	Shortening retrieval sequences in browsing-based component retrieval using information entropy. J. Syst. Softw. Ge Li, Lu Zhang, Yan Li, Bing Xie, Weizhong Shao
2004	B	`conf`	Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval. ICSR Ge Li, Ying Pan, Lu Zhang, Bing Xie, Weizhong Shao