Ge Li

According to our database, Ge Li authored at least 114 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Poison Attack and Poison Detection on Deep Source Code Processing Models.

Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia

ACM Trans. Softw. Eng. Methodol., March, 2024

Improving domain-specific neural code generation with few-shot meta-learning.

Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li

Inf. Softw. Technol., February, 2024

Evaluating Large Language Models with Runtime Behavior of Program Execution.

Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia

CoRR, 2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

CodeEditor: Learning to Edit Source Code with Pre-trained Models.

Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu

ACM Trans. Softw. Eng. Methodol., November, 2023

Large Language Model-Aware In-Context Learning for Code Generation.

Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

CoRR, 2023

Improving Code Generation by Dynamic Temperature Sampling.

Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei

CoRR, 2023

ZC3: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

CoRR, 2023

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model.

Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li

CoRR, 2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning.

Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li

CoRR, 2023

ToolCoder: Teach Code Generation Models to use API search tools.

Kechi Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin

CoRR, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

CoRR, 2023

Self-collaboration Code Generation via ChatGPT.

Yihong Dong, Xue Jiang, Zhi Jin, Ge Li

CoRR, 2023

Towards Enhancing In-Context Learning for Code Generation.

Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin

CoRR, 2023

Self-planning Code Generation with Large Language Model.

Xue Jiang, Yihong Dong, Lecheng Wang, Qiwei Shang, Ge Li

CoRR, 2023

CodeScore: Evaluating Code Generation by Learning Code Execution.

Yihong Dong, Jiazheng Ding, Xue Jiang, Zhuo Li, Ge Li, Zhi Jin

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu

Proceedings of the IEEE International Conference on Software Analysis, 2023

ZC³: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models.

Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.

Yihong Dong, Ge Li, Zhi Jin

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning.

Yunfei Zhao, Yihong Dong, Ge Li

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

SkCoder: A Sketch-based Approach for Automatic Code Generation.

Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Deep Learning Based Program Generation From Requirements Text: Are We There Yet?

Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang

IEEE Trans. Software Eng., 2022

Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement.

Huangzhao Zhang, Zhiyi Fu, Ge Li, Lei Ma, Zhehao Zhao, Hua'an Yang, Yizhe Sun, Yang Liu, Zhi Jin

ACM Trans. Softw. Eng. Methodol., 2022

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.

Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie

ACM Trans. Softw. Eng. Methodol., 2022

Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks.

Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin

J. Syst. Softw., 2022

A unified multi-task learning model for AST-level and token-level code completion.

Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin

Empir. Softw. Eng., 2022

Poison Attack and Defense on Deep Source Code Processing Models.

Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia

CoRR, 2022

Antecedent Predictions Are Dominant for Tree-Based Code Generation.

Yihong Dong, Ge Li, Zhi Jin

CoRR, 2022

A Tree-structured Transformer for Program Representation Learning.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu

CoRR, 2022

What does Transformer learn about source code?

Kechi Zhang, Ge Li, Zhi Jin

CoRR, 2022

AixBench: A Code Generation Benchmark Dataset.

Yiyang Hao, Ge Li, Yongqiang Liu, Xiaowei Miao, He Zong, Siyuan Jiang, Yang Liu, He Wei

CoRR, 2022

Non-autoregressive Model for Full-line Code Completion.

Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao

CoRR, 2022

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation.

Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively.

Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to represent programs with heterogeneous graphs.

Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.

Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Learning to Recommend Method Names with Global Context.

Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Rethinking Positional Encoding in Tree Transformer for Code Representation.

Han Peng, Ge Li, Yunfei Zhao, Zhi Jin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.

Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

DeepDir: a deep learning approach for API directive detection.

Jingxuan Zhang, He Jiang, Shuai Lu, Ge Li, Xin Chen

Sci. China Inf. Sci., 2021

Integrating Tree Path in Transformer for Code Representation.

Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization.

Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Modular Tree Network for Source Code Representation Learning.

Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin

ACM Trans. Softw. Eng. Methodol., 2020

Deep code comment generation with hybrid lexical and syntactical information.

Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin

Empir. Softw. Eng., 2020

Learning to Represent Programs with Heterogeneous Graphs.

Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin

CoRR, 2020

Towards Full-line Code Completion with Neural Language Models.

Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin

CoRR, 2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree.

Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin

CoRR, 2020

LSTM-based argument recommendation for non-API methods.

Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang

Sci. China Inf. Sci., 2020

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.

Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information.

Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Retrieve and Refine: Exemplar-based Neural Comment Generation.

Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Multi-task Learning based Pre-trained Language Model for Code Completion.

Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.

Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

NLocalSAT: Boosting Local Search with Solution Prediction.

Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models.

Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Code Generation as a Dual Task of Code Summarization.

Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural detection of semantic code clones via tree-based convolution.

Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang

Proceedings of the 27th International Conference on Program Comprehension, 2019

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation.

Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens.

Xing Hu, Rui Men, Ge Li, Zhi Jin

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

A Grammar-Based Structural CNN Decoder for Code Generation.

Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Preface.

Tao Xie, He Jiang, Ge Li, Tianyu Wo, Rahul Pandita, Chang Xu, Lihua Xu

J. Comput. Sci. Technol., 2018

Deep Learning in Software Engineering.

Xiaochen Li, He Jiang, Zhilei Ren, Ge Li, Jingxuan Zhang

CoRR, 2018

Unsupervised deep bug report summarization.

Xiaochen Li, He Jiang, Dong Liu, Zhilei Ren, Ge Li

Proceedings of the 26th Conference on Program Comprehension, 2018

Deep code comment generation.

Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin

Proceedings of the 26th Conference on Program Comprehension, 2018

Summarizing Source Code with Transferred API Knowledge.

Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Learning to Infer API Mappings from API Documents.

Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2017

Improved Knowledge Base Completion by the Path-Augmented TransR Model.

Wenhao Huang, Ge Li, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2017

Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations.

Yunchuan Chen, Ge Li, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2017

2016

Lightweight semantic service modelling for IoT: an environment-based approach.

Qiang Wei, Zhi Jin, Lixing Li, Ge Li

Int. J. Embed. Syst., 2016

Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference.

Zhao Meng, Lili Mou, Ge Li, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2016

Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing.

Yangyang Lu, Ge Li, Rui Miao, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2016

How Transferable are Neural Networks in NLP Applications?

Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improved relation classification by deep recurrent neural networks with data augmentation.

Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

Proceedings of the COLING 2016, 2016

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation.

Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin

Proceedings of the COLING 2016, 2016

Distilling Word Embeddings: An Encoding Approach.

Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching.

Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Compressing Neural Language Models by Sparse Word Representations.

Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Convolutional Neural Networks over Tree Structures for Programming Language Processing.

Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path.

Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin

CoRR, 2015

Backbone Language Modeling for Constrained Natural Language Generation.

Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin

CoRR, 2015

Tree-based Convolution: A New Neural Architecture for Sentence Modeling.

Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

CoRR, 2015

On End-to-End Program Generation from User Intention by Deep Neural Networks.

Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin

CoRR, 2015

Recognizing Entailment and Contradiction by Tree-based Convolution.

Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin

CoRR, 2015

Distilling Word Embeddings: An Encoding Approach.

Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

CoRR, 2015

Building Program Vector Representations for Deep Learning.

Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin

Proceedings of the Knowledge Science, Engineering and Management, 2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths.

Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks.

Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative Neural Sentence Modeling by Tree-Based Convolution.

Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Learning Non-Taxonomic Relations on Demand for Ontology Extension.

Yan Xu, Ge Li, Lili Mou, Yangyang Lu

Int. J. Softw. Eng. Knowl. Eng., 2014

Building Program Vector Representations for Deep Learning.

Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang

CoRR, 2014

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing.

Lili Mou, Ge Li, Zhi Jin, Lu Zhang, Tao Wang

CoRR, 2014

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery.

Lili Mou, Ge Li, Zhi Jin, Lu Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2014

2013

A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces.

Yangyang Lu, Ge Li, Zhi Jin, Xueyuan Xing, Yiyang Hao

Proceedings of the Safe and Secure Software Reuse, 2013

MCT: a tool for commenting programs by multimedia comments.

Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin

Proceedings of the 35th International Conference on Software Engineering, 2013

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting.

Lili Mou, Ge Li, Zhi Jin

Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2012

Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach.

Lixing Li, Zhi Jin, Ge Li, Liwei Zheng, Qiang Wei

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching.

Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao

Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2011

A process algebra for environment-based specification of web services.

Lixing Li, Zhi Jin, Ge Li

Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011

An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing.

Ge Li, Zhi Jin

Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain.

Ge Li, Zhi Jin, Yan Xu, Yangyang Lu

Proceedings of the Knowledge Science, Engineering and Management, 2011

APIExample: An effective web search based usage example recommendation system for java APIs.

Lijie Wang, Lu Fang, Leye Wang, Ge Li, Bing Xie, Fuqing Yang

Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

2010

Enriching Descriptions for Public Web Services Using Information Captured from Related Web Pages on the Internet.

Lijie Wang, Fei Liu, Liangjie Zhang, Ge Li, Bing Xie

Proceedings of the Fifth IEEE International Symposium on Service-Oriented System Engineering, 2010

Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships.

Lijie Wang, Leye Wang, Ge Li, Bing Xie

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

2009

Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites.

Lijie Wang, Fei Liu, Ge Li, Liang Gu, Liangjie Zhang, Bing Xie

Proceedings of the Service-Oriented Computing, 7th International Joint Conference, 2009

2008

Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories.

Yan Li, Liangjie Zhang, Ge Li, Bing Xie, Jiasu Sun

Proceedings of the High Confidence Software Reuse in Large Systems, 2008

2007

Ontology Based Classification Generating Method for Browsing-Based Component Retrieval.

Ge Li, Lu Zhang, Bing Xie, Weizhong Shao

Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Scheduling of conflicting refactorings to promote quality improvement.

Hui Liu, Ge Li, Zhiyi Ma, Weizhong Shao

Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), 2007

An Exploratory Study of Web Services on the Internet.

Yan Li, Yao Liu, Liang-Jie Zhang, Ge Li, Bing Xie, Jiasu Sun

Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

A metamodel for the notation of graphical modeling languages.

Xiao He, Zhiyi Ma, Weizhong Shao, Ge Li

Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management.

Yanzhen Zou, Liang Gu, Ge Li, Bing Xie, Hong Mei

Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006

Shortening retrieval sequences in browsing-based component retrieval using information entropy.

Ge Li, Lu Zhang, Yan Li, Bing Xie, Weizhong Shao

J. Syst. Softw., 2006

2004

Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval.

Ge Li, Ying Pan, Lu Zhang, Bing Xie, Weizhong Shao

Proceedings of the Software Reuse: Methods, 2004