default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGe Li 0001
Person information
- affiliation: Peking University, Key Laboratory of High Confidence Software Technologies, Bejing, China
Other persons with the same name
- Ge Li — disambiguation page
- Ge Li 0002
![[0000-0003-0140-0949]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0140-0949")
— Peking University Shenzhen Graduate School, School of Electronic and Computer Engineering, Shenzhen, China - Ge Li 0003 — National University of Defense Technology, College of Information System and Management, School of Mechatronics Engineering and Automation, Changsha, China
- Ge Li 0004 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Ge Li 0005 — University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j26]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: 107365 (2024)- [j25]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): 182-203 (2024) - [j24]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): 1585-1608 (2024) - [j23]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) - [j22]Huangzhao Zhang, Zhuo Li, Jia Li, Zhi Jin, Ge Li:
WELL: Applying bug detectors to bug localization via weakly supervised learning. J. Softw. Evol. Process. 36(9) (2024) - [j21]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): 62:1-62:31 (2024) - [j20]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): 120:1-120:34 (2024) - [j19]Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, Wenpin Jiao:
Self-Planning Code Generation with Large Language Models. ACM Trans. Softw. Eng. Methodol. 33(7): 182:1-182:30 (2024) - [j18]Yihong Dong, Xue Jiang, Zhi Jin, Ge Li:
Self-Collaboration Code Generation via ChatGPT. ACM Trans. Softw. Eng. Methodol. 33(7): 189:1-189:38 (2024) - [j17]Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin:
AceCoder: An Effective Prompting Technique Specialized in Code Generation. ACM Trans. Softw. Eng. Methodol. 33(8): 204:1-204:26 (2024) - [j16]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): 1325-1339 (2024) - [c84]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: 437-445 - [c83]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: 3603-3614 - [c82]Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li:
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. ACL (Findings) 2024: 7304-7323 - [c81]Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li:
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. ACL (Findings) 2024: 12039-12050 - [c80]Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin:
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. ACL (1) 2024: 13615-13627 - [c79]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: 13643-13658 - [c78]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: 5878-5895 - [c77]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: 39:1-39:13 - [c76]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
KareCoder: A New Knowledge-Enriched Code Generation System. ICSE Companion 2024: 270-271 - [c75]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
Knowledge-Aware Code Generation with Large Language Models. ICPC 2024: 52-63 - [c74]Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu:
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. ASE 2024: 229-241 - [c73]Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Zian Sun, Ge Li, Zhongqi Li, Yuchi Ma:
FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. ASE 2024: 669-680 - [c72]Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin:
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. ASE 2024: 1258-1268 - [i91]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. CoRR abs/2401.07339 (2024) - [i90]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
Knowledge-Aware Code Generation with Large Language Models. CoRR abs/2401.15940 (2024) - [i89]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. CoRR abs/2401.16637 (2024) - [i88]Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li:
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. CoRR abs/2402.15938 (2024) - [i87]Xue Jiang, Yihong Dong, Zhi Jin, Ge Li:
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. CoRR abs/2403.00046 (2024) - [i86]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 abs/2403.13271 (2024) - [i85]Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR abs/2403.16437 (2024) - [i84]Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin:
HiRoPE: Length Extrapolation for Code Models. CoRR abs/2403.19115 (2024) - [i83]Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin:
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR abs/2404.00599 (2024) - [i82]Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li:
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments. CoRR abs/2404.01754 (2024) - [i81]Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang:
LLM-Powered Test Case Generation for Detecting Tricky Bugs. CoRR abs/2404.10304 (2024) - [i80]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 abs/2404.14646 (2024) - [i79]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 abs/2405.19856 (2024) - [i78]Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin:
M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. CoRR abs/2406.05940 (2024) - [i77]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 abs/2407.18877 (2024) - [i76]Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin:
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. CoRR abs/2408.11324 (2024) - [i75]Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu:
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. CoRR abs/2408.13976 (2024) - [i74]Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma:
Python Symbolic Execution with LLM-powered Code Generation. CoRR abs/2409.09271 (2024) - [i73]Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu:
FAN: Fourier Analysis Networks. CoRR abs/2410.02675 (2024) - [i72]Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin:
Showing LLM-Generated Code Selectively Based on Confidence of LLMs. CoRR abs/2410.03234 (2024) - [i71]Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin:
Generating Equivalent Representations of Code By A Self-Reflection Approach. CoRR abs/2410.03351 (2024) - [i70]Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin:
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. CoRR abs/2410.05605 (2024) - [i69]Pengyu Xue, Linhao Wu, Zhen Yang, Xinyi Li, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Jingwen Wu:
Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. CoRR abs/2410.07516 (2024) - [i68]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:
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion. CoRR abs/2410.13187 (2024) - [i67]Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma:
FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments. CoRR abs/2410.21285 (2024) - [i66]Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li:
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. CoRR abs/2410.22821 (2024) - [i65]Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Wenpin Jiao, Ge Li:
ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. CoRR abs/2411.07112 (2024) - [i64]Lecheng Wang, Xianjie Shi, Ge Li, Jia Li, Yihong Dong, Xuanming Zhang, Wenpin Jiao, Hong Mei:
Why language models collapse when trained on recursively generated text. CoRR abs/2412.14872 (2024) - 2023
- [j15]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): 143:1-143:22 (2023) - [c71]Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin:
Self-Edit: Fault-Aware Code Editor for Code Generation. ACL (1) 2023: 769-787 - [c70]Yihong Dong, Ge Li, Xue Jiang, Zhi Jin:
Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. ECAI 2023: 565-574 - [c69]Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu:
SkCoder: A Sketch-based Approach for Automatic Code Generation. ICSE 2023: 2124-2135 - [c68]Yunfei Zhao, Yihong Dong, Ge Li:
Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. Internetware 2023: 238-248 - [c67]Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin:
MCodeSearcher: Multi-View Contrastive Learning for Code Search. Internetware 2023: 270-280 - [c66]Yihong Dong, Ge Li, Zhi Jin:
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. ISSTA 2023: 188-198 - [c65]Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li:
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. ICPC 2023: 157-168 - [c64]Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li:
ZC3: Zero-Shot Cross-Language Code Clone Detection. ASE 2023: 875-887 - [c63]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu:
Learning Program Representations with a Tree-Structured Transformer. SANER 2023: 248-259 - [i63]Yihong Dong, Jiazheng Ding, Xue Jiang, Zhuo Li, Ge Li, Zhi Jin:
CodeScore: Evaluating Code Generation by Learning Code Execution. CoRR abs/2301.09043 (2023) - [i62]Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu:
SkCoder: A Sketch-based Approach for Automatic Code Generation. CoRR abs/2302.06144 (2023) - [i61]Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, Rongcong Lv:
Deep Learning Based Code Generation Methods: A Literature Review. CoRR abs/2303.01056 (2023) - [i60]Xue Jiang, Yihong Dong, Lecheng Wang, Qiwei Shang, Ge Li:
Self-planning Code Generation with Large Language Model. CoRR abs/2303.06689 (2023) - [i59]Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li:
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models. CoRR abs/2303.07826 (2023) - [i58]Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin:
Towards Enhancing In-Context Learning for Code Generation. CoRR abs/2303.17780 (2023) - [i57]Yihong Dong, Xue Jiang, Zhi Jin, Ge Li:
Self-collaboration Code Generation via ChatGPT. CoRR abs/2304.07590 (2023) - [i56]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 abs/2304.11384 (2023) - [i55]Kechi Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin:
ToolCoder: Teach Code Generation Models to use API search tools. CoRR abs/2305.04032 (2023) - [i54]Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin:
Self-Edit: Fault-Aware Code Editor for Code Generation. CoRR abs/2305.04087 (2023) - [i53]Jia Li, Ge Li, Yongmin Li, Zhi Jin:
Enabling Programming Thinking in Large Language Models Toward Code Generation. CoRR abs/2305.06599 (2023) - [i52]Yuwei Zhang, Ge Li, Zhi Jin, Ying Xing:
Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism. CoRR abs/2305.09315 (2023) - [i51]Yuwei Zhang, Zhi Jin, Zejun Wang, Ying Xing, Ge Li:
SAGA: Summarization-Guided Assert Statement Generation. CoRR abs/2305.14808 (2023) - [i50]Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li:
WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning. CoRR abs/2305.17384 (2023) - [i49]Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao:
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. CoRR abs/2306.06935 (2023) - [i48]Yuwei Zhang, Ying Xing, Ge Li, Zhi Jin:
Automated Static Warning Identification via Path-based Semantic Representation. CoRR abs/2306.15568 (2023) - [i47]Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li:
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. CoRR abs/2308.10088 (2023) - [i46]Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li:
ZC3: Zero-Shot Cross-Language Code Clone Detection. CoRR abs/2308.13754 (2023) - [i45]Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR abs/2308.13775 (2023) - [i44]Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li:
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing. CoRR abs/2308.14460 (2023) - [i43]Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei:
Improving Code Generation by Dynamic Temperature Sampling. CoRR abs/2309.02772 (2023) - [i42]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 abs/2310.09748 (2023) - [i41]Zejun Wang, Jia Li, Ge Li, Zhi Jin:
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation. CoRR abs/2311.00272 (2023) - [i40]Rongao Li, Jie Fu, Bo-Wen Zhang, Tao Huang, Zhihong Sun, Chen Lyu, Guang Liu, Zhi Jin, Ge Li:
TACO: Topics in Algorithmic COde generation dataset. CoRR abs/2312.14852 (2023) - 2022
- [j14]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): 91 (2022) - [j13]Tao Xie, Shengchao Qin, Wenhui Zhang, Jun Sun, Lei Bu, Ge Li:
Preface. J. Comput. Sci. Technol. 37(1): 1-3 (2022) - [j12]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: 111108 (2022) - [j11]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): 50:1-50:40 (2022) - [j10]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): 62:1-62:25 (2022) - [j9]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): 1268-1289 (2022) - [c62]Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao:
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. CIKM 2022: 1114-1123 - [c61]Han Peng, Ge Li, Yunfei Zhao, Zhi Jin:
Rethinking Positional Encoding in Tree Transformer for Code Representation. EMNLP 2022: 3204-3214 - [c60]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: 163-174 - [c59]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. ICSE 2022: 1294-1306 - [c58]Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin:
Learning to represent programs with heterogeneous graphs. ICPC 2022: 378-389 - [c57]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 - [c56]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119 - [c55]Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li:
Incorporating domain knowledge through task augmentation for front-end JavaScript code generation. ESEC/SIGSOFT FSE 2022: 1533-1543 - [i39]Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. CoRR abs/2201.10705 (2022) - [i38]Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao:
Non-autoregressive Model for Full-line Code Completion. CoRR abs/2204.09877 (2022) - [i37]Yiyang Hao, Ge Li, Yongqiang Liu, Xiaowei Miao, He Zong, Siyuan Jiang, Yang Liu, Wei He:
AixBench: A Code Generation Benchmark Dataset. CoRR abs/2206.13179 (2022) - [i36]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022) - [i35]Kechi Zhang, Ge Li, Zhi Jin:
What does Transformer learn about source code? CoRR abs/2207.08466 (2022) - [i34]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu:
A Tree-structured Transformer for Program Representation Learning. CoRR abs/2208.08643 (2022) - [i33]Yihong Dong, Ge Li, Zhi Jin:
Antecedent Predictions Are Dominant for Tree-Based Code Generation. CoRR abs/2208.09998 (2022) - [i32]Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li:
Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation. CoRR abs/2208.10091 (2022) - [i31]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Defense on Deep Source Code Processing Models. CoRR abs/2210.17029 (2022) - [i30]Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu:
CodeEditor: Learning to Edit Source Code with Pre-trained Models. CoRR abs/2210.17040 (2022) - [i29]Yihong Dong, Ge Li, Zhi Jin:
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. CoRR abs/2211.00818 (2022) - [i28]Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin:
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. CoRR abs/2211.01642 (2022) - 2021
- [j8]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) - [c54]Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE 2021: 155-166 - [c53]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 - [c52]Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin:
Integrating Tree Path in Transformer for Code Representation. NeurIPS 2021: 9343-9354 - [i27]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. CoRR abs/2102.04664 (2021) - [i26]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. CoRR abs/2104.00196 (2021) - [i25]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 abs/2111.11435 (2021) - 2020
- [j7]Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang:
LSTM-based argument recommendation for non-API methods. Sci. China Inf. Sci. 63(9): 1-22 (2020) - [j6]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): 2179-2217 (2020) - [j5]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): 31:1-31:23 (2020) - [c51]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: 1169-1176 - [c50]Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI 2020: 1177-1183 - [c49]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: 37-47 - [c48]Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin:
Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE 2020: 349-360 - [c47]Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin:
Multi-task Learning based Pre-trained Language Model for Code Completion. ASE 2020: 473-485 - [c46]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: 1571-1575 - [c45]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: 261-271 - [i24]Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. CoRR abs/2001.09398 (2020) - [i23]Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR abs/2002.08653 (2020) - [i22]Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin:
Towards Full-line Code Completion with Neural Language Models. CoRR abs/2009.08603 (2020) - [i21]Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin:
Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR abs/2010.04459 (2020) - [i20]Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin:
Learning to Represent Programs with Heterogeneous Graphs. CoRR abs/2012.04188 (2020) - [i19]Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin:
Multi-task Learning based Pre-trained Language Model for Code Completion. CoRR abs/2012.14631 (2020)
2010 – 2019
- 2019
- [c44]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. AAAI 2019: 7055-7062 - [c43]Xing Hu, Rui Men, Ge Li, Zhi Jin:
Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. COMPSAC (1) 2019: 159-168 - [c42]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: 7290-7294 - [c41]Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang:
Neural detection of semantic code clones via tree-based convolution. ICPC 2019: 70-80 - [c40]Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. NeurIPS 2019: 6559-6569 - [i18]Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin:
Code Generation as a Dual Task of Code Summarization. CoRR abs/1910.05923 (2019) - 2018
- [j4]Tao Xie, He Jiang, Ge Li, Tianyu Wo, Rahul Pandita, Chang Xu, Lihua Xu:
Preface. J. Comput. Sci. Technol. 33(5): 873-875 (2018) - [c39]Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin:
Summarizing Source Code with Transferred API Knowledge. IJCAI 2018: 2269-2275 - [c38]Xiaochen Li, He Jiang, Dong Liu, Zhilei Ren, Ge Li:
Unsupervised deep bug report summarization. ICPC 2018: 144-155 - [c37]Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin:
Deep code comment generation. ICPC 2018: 200-210 - [i17]Xiaochen Li, He Jiang, Zhilei Ren, Ge Li, Jingxuan Zhang:
Deep Learning in Software Engineering. CoRR abs/1805.04825 (2018) - [i16]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. CoRR abs/1811.06837 (2018) - 2017
- [c36]Yunchuan Chen, Ge Li, Zhi Jin:
Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations. KSEM 2017: 3-15 - [c35]Wenhao Huang, Ge Li, Zhi Jin:
Improved Knowledge Base Completion by the Path-Augmented TransR Model. KSEM 2017: 149-159 - [c34]Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin:
Learning to Infer API Mappings from API Documents. KSEM 2017: 237-248 - [i15]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 abs/1712.02250 (2017) - 2016
- [j3]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): 164-173 (2016) - [c33]Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin:
Convolutional Neural Networks over Tree Structures for Programming Language Processing. AAAI 2016: 1287-1293 - [c32]Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin:
Compressing Neural Language Models by Sparse Word Representations. ACL (1) 2016 - [c31]Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin:
Natural Language Inference by Tree-Based Convolution and Heuristic Matching. ACL (2) 2016 - [c30]Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin:
Distilling Word Embeddings: An Encoding Approach. CIKM 2016: 1977-1980 - [c29]Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
Improved relation classification by deep recurrent neural networks with data augmentation. COLING 2016: 1461-1470 - [c28]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: 3349-3358 - [c27]Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
How Transferable are Neural Networks in NLP Applications? EMNLP 2016: 479-489 - [c26]Zhao Meng, Lili Mou, Ge Li, Zhi Jin:
Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. KSEM 2016: 515-526 - [c25]Yangyang Lu, Ge Li, Rui Miao, Zhi Jin:
Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing. KSEM 2016: 527-539 - [i14]Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation. CoRR abs/1601.03651 (2016) - [i13]Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
How Transferable are Neural Networks in NLP Applications? CoRR abs/1603.06111 (2016) - [i12]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 abs/1607.00970 (2016) - [i11]Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin:
Compressing Neural Language Models by Sparse Word Representations. CoRR abs/1610.03950 (2016) - [i10]Wenhao Huang, Ge Li, Zhi Jin:
Improved Knowledge Base Completion by Path-Augmented TransR Model. CoRR abs/1610.04073 (2016) - 2015
- [c24]Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin:
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. EMNLP 2015: 1785-1794 - [c23]Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. EMNLP 2015: 2106-2111 - [c22]Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Discriminative Neural Sentence Modeling by Tree-Based Convolution. EMNLP 2015: 2315-2325 - [c21]Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin:
Building Program Vector Representations for Deep Learning. KSEM 2015: 547-553 - [i9]Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Tree-based Convolution: A New Neural Architecture for Sentence Modeling. CoRR abs/1504.01106 (2015) - [i8]Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin:
Distilling Word Embeddings: An Encoding Approach. CoRR abs/1506.04488 (2015) - [i7]Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin:
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path. CoRR abs/1508.03720 (2015) - [i6]Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin:
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. CoRR abs/1508.03721 (2015) - [i5]Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin:
On End-to-End Program Generation from User Intention by Deep Neural Networks. CoRR abs/1510.07211 (2015) - [i4]Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin:
Backbone Language Modeling for Constrained Natural Language Generation. CoRR abs/1512.06612 (2015) - [i3]Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin:
Recognizing Entailment and Contradiction by Tree-based Convolution. CoRR abs/1512.08422 (2015) - 2014
- [j2]Yan Xu, Ge Li, Lili Mou, Yangyang Lu:
Learning Non-Taxonomic Relations on Demand for Ontology Extension. Int. J. Softw. Eng. Knowl. Eng. 24(8): 1159-1176 (2014) - [c20]Lili Mou, Ge Li, Zhi Jin, Lu Zhang:
Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. KSEM 2014: 81-92 - [i2]Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang:
Building Program Vector Representations for Deep Learning. CoRR abs/1409.3358 (2014) - [i1]Lili Mou, Ge Li, Zhi Jin, Lu Zhang, Tao Wang:
TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. CoRR abs/1409.5718 (2014) - 2013
- [c19]Lili Mou, Ge Li, Zhi Jin:
Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. COMPSAC 2013: 387-392 - [c18]Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin:
MCT: a tool for commenting programs by multimedia comments. ICSE 2013: 1339-1342 - [c17]Yangyang Lu, Ge Li, Zhi Jin, Xueyuan Xing, Yiyang Hao:
A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces. ICSR 2013: 289-294 - 2012
- [c16]Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao:
Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. APSEC 2012: 213-222 - [c15]Lixing Li, Zhi Jin, Ge Li, Liwei Zheng, Qiang Wei:
Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach. ICWS 2012: 584-591 - 2011
- [c14]Lijie Wang, Lu Fang, Leye Wang, Ge Li, Bing Xie, Fuqing Yang:
APIExample: An effective web search based usage example recommendation system for java APIs. ASE 2011: 592-595 - [c13]Ge Li, Zhi Jin, Yan Xu, Yangyang Lu:
An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain. KSEM 2011: 208-220 - [c12]Ge Li, Zhi Jin:
An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing. SEKE 2011: 521-526 - [c11]Lixing Li, Zhi Jin, Ge Li:
A process algebra for environment-based specification of web services. SOSE 2011: 286-296 - 2010
- [c10]Lijie Wang, Leye Wang, Ge Li, Bing Xie:
Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships. SEKE 2010: 367-373 - [c9]Lijie Wang, Fei Liu, Liangjie Zhang, Ge Li, Bing Xie:
Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet. SOSE 2010: 141-150
2000 – 2009
- 2009
- [c8]Lijie Wang, Fei Liu, Ge Li, Liang Gu, Liangjie Zhang, Bing Xie:
Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites. ICSOC/ServiceWave 2009: 429-436 - 2008
- [c7]Yan Li, Liangjie Zhang, Ge Li, Bing Xie, Jiasu Sun:
Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories. ICSR 2008: 76-87 - 2007
- [c6]Yanzhen Zou, Liang Gu, Ge Li, Bing Xie, Hong Mei:
Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management. IEEE SCC 2007: 530-535 - [c5]Xiao He, Zhiyi Ma, Weizhong Shao, Ge Li:
A metamodel for the notation of graphical modeling languages. COMPSAC (1) 2007: 219-224 - [c4]Yan Li, Yao Liu, Liang-Jie Zhang, Ge Li, Bing Xie, Jiasu Sun:
An Exploratory Study of Web Services on the Internet. ICWS 2007: 380-387 - [c3]Hui Liu, Ge Li, Zhiyi Ma, Weizhong Shao:
Scheduling of conflicting refactorings to promote quality improvement. ASE 2007: 489-492 - [c2]Ge Li, Lu Zhang, Bing Xie, Weizhong Shao:
Ontology Based Classification Generating Method for Browsing-Based Component Retrieval. SEKE 2007: 428- - 2006
- [j1]Ge Li, Lu Zhang, Yan Li, Bing Xie, Weizhong Shao:
Shortening retrieval sequences in browsing-based component retrieval using information entropy. J. Syst. Softw. 79(2): 216-230 (2006) - 2004
- [c1]Ge Li, Ying Pan, Lu Zhang, Bing Xie, Weizhong Shao:
Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval. ICSR 2004: 232-241
Coauthor Index
[j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c72] [i91] [i90] [i89] [i88] [i87] [i86] [i84] [i83] [i80] [i79] [i78] [i77] [i76] [i75] [i74] [i72] [i71] [i70] [i69] [i66] [i65] [j15] [c71] [c70] [c69] [c67] [c66] [c65] [c64] [c63] [i63] [i62] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [j14] [j12] [j11] [c62] [c61] [c59] [c58] [c57] [i39] [i38] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [c54] [c52] [i26] [i25] [j6] [j5] [c51] [c49] [c48] [c47] [c45] [i23] [i22] [i21] [i20] [i19] [c43] [c42] [c40] [i18] [c39] [c37] [c36] [c35] [c34] [i15] [j3] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i14] [i13] [i12] [i11] [i10] [c24] [c23] [c22] [c21] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [c20] [i2] [i1] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11]
Jia Li 0011
aka: Jia Allen Li
aka: Jia Allen Li
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-27 21:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
