Ming Li

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 42

Top Topics

Weakly Supervised

Bug Localization

Top Venues

Publications

Hao-Yuan He, Wang-Zhou Dai, Ming Li
Reduced implication-bias logic loss for neuro-symbolic learning. Mach. Learn. 113 (6) (2024)
Zheng Xie, Yu Liu, Ming Li
AUC Optimization from Multiple Unlabeled Datasets. AAAI (2024)
Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Wei Zhao, Weidao Chen, Ge Li, Du Lei, Jiancheng Yang, Yanjing Chen, Yingjia Jiang, Jiangfen Wu, Bingbing Ni, Yeqi Sun, Shaokang Wang, Yingli Sun, Ming Li, Jun Liu
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Xin-Ye Li, Jiang-Tian Xue, Zheng Xie, Ming Li
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation. CoRR (2023)
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. ICSE (2023)
Yi-Fan Ma, Yali Du, Ming Li
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization. IJCAI (2023)
Hui Sun, Zheng Xie, Xin-Ye Li, Ming Li
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation. AAAI (2023)
Fan Yan, Ming Li
Towards Generating Summaries for Lexically Confusing Code through Code Erosion. IJCAI (2021)
Xuan Huo, Ferdian Thung, Ming Li, David Lo, Shu-Ting Shi
Deep Transfer Bug Localization. IEEE Trans. Software Eng. 47 (7) (2021)
Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI (2021)
Xuan Huo, Ming Li, Zhi-Hua Zhou
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization. AAAI (2020)
Jia-Wei Mi, Shu-Ting Shi, Ming Li
Learning Code Changes by Exploiting Bidirectional Converting Deviation. ACML (2020)
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution. AAAI (2020)
Fei Wu, Cewu Lu, Mingjie Zhu, Hao Chen, Jun Zhu, Kai Yu, Lei Li, Ming Li, Qianfeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan
Towards a new generation of artificial intelligence in China. Nat. Mach. Intell. 2 (6) (2020)
Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62 (6) (2020)
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution. CoRR (2020)
Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo
DeepReview: Automatic Code Review Using Deep Multi-instance Learning. PAKDD (2) (2019)
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo
Automatic Code Review by Learning the Revision of Source Code. AAAI (2019)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
CodeAttention: translating source code to comments by exploiting the code constructs. Frontiers Comput. Sci. 13 (3) (2019)
Xuan Huo, Ming Li
On cost-effective software defect prediction: Classification or ranking? Neurocomputing 363 (2019)
Bin-Bin Yang, Wei Gao, Ming Li
On the Robust Splitting Criterion of Random Forest. ICDM (2019)
Yan-Ya Zhang, Ming Li
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector. AAAI (2019)
Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR (2019)
Heng-Yi Li, Ming Li, Zhi-Hua Zhou
Towards One Reusable Model for Various Software Defect Mining Tasks. PAKDD (3) (2019)
Yudong Zhang, Wenhao Zheng, Ming Li
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially. AAAI (2019)
Zheng Xie, Ming Li
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization. IJCAI (2018)
Zhi-Yu Shen, Ming Li
T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model Reuse. ICDM (2018)
Huihui Wei, Ming Li
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training. IJCAI (2018)
Ansong Ni, Ming Li
ACONA: active online model adaptation for predicting continuous integration build failures. ICSE (Companion Volume) (2018)
Zheng Xie, Ming Li
Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data. AAAI (2018)
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR (2018)
Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. ICDM (2018)
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
Code Attention: Translating Code to Comments by Exploiting Domain Features. CoRR (2017)
Wenhao Zheng, Ming Li
The best answer prediction by exploiting heterogeneous data on software development Q&A forum. Neurocomputing 269 (2017)
Xuan Huo, Ming Li
Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code. IJCAI (2017)
Ansong Ni, Ming Li
Cost-effective build outcome prediction using cascaded classifiers. MSR (2017)
Huihui Wei, Ming Li
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code. IJCAI (2017)
Xuan Huo, Ming Li, Zhi-Hua Zhou
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code. IJCAI (2016)
Ming Li, Hongyu Zhang, David Lo, Lucia
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]. ACM SIGSOFT Softw. Eng. Notes 40 (1) (2015)
Tien-Duy B. Le, David Lo, Ming Li
Constrained feature selection for localizing faults. ICSME (2015)
Tao Li, Ming Li
PerGrab: Adapting Grabbing Gesture Recognition for Personalized Non-contact HCI. IScIDE (2013)
Ming Li, Hongyu Zhang, Rongxin Wu, Zhi-Hua Zhou
Sample-based software defect prediction with active and semi-supervised learning. Autom. Softw. Eng. 19 (2) (2012)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Software Defect Detection with Rocus. J. Comput. Sci. Technol. 26 (2) (2011)
Ming Li, Wei Wang, Zhi-Hua Zhou
Exploiting remote learners in Internet environment with agents. Sci. China Inf. Sci. 53 (1) (2010)
Zhi-Hua Zhou, Ming Li
Semi-supervised learning by disagreement. Knowl. Inf. Syst. 24 (3) (2010)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Mining extremely small data sets with application to software reuse. Softw. Pract. Exp. 39 (4) (2009)
Ming Li, Hang Li, Zhi-Hua Zhou
Semi-supervised document retrieval. Inf. Process. Manag. 45 (3) (2009)
Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou
Exploiting Multi-Modal Interactions: A Unified Framework. IJCAI (2009)
De-Chuan Zhan, Ming Li, Yu-Feng Li, Zhi-Hua Zhou
Learning instance specific distances using metric propagation. ICML (2009)
Andrew B. Goldberg, Ming Li, Xiaojin Zhu
Online Manifold Regularization: A New Learning Setting and Empirical Study. ECML/PKDD (1) (2008)
Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou
Mining Bulletin Board Systems Using Community Generation. PAKDD (2008)
Zhi-Hua Zhou, Ming Li
Semisupervised Regression with Cotraining-Style Algorithms. IEEE Trans. Knowl. Data Eng. 19 (11) (2007)
Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
Predicting Future Customers via Ensembling Gradually Expanded Trees. Int. J. Data Warehous. Min. 3 (2) (2007)
Ming Li, Zhi-Hua Zhou
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples. IEEE Trans. Syst. Man Cybern. Part A 37 (6) (2007)
Fei Chen, Lin Shang, Ming Li, Zhaoqian Chen, Shifu Chen
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation. GrC (2006)
Yuan Jiang, Ming Li, Zhi-Hua Zhou
Generation of Comprehensible Hypotheses from Gene Expression Data. BioDM (2006)
Zhi-Hua Zhou, Kai Jiang, Ming Li
Multi-Instance Learning Based Web Mining. Appl. Intell. 22 (2) (2005)
Ming Li, Zhi-Hua Zhou
SETRED: Self-training with Editing. PAKDD (2005)
Zhi-Hua Zhou, Ming Li
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers. IEEE Trans. Knowl. Data Eng. 17 (11) (2005)
Zhi-Hua Zhou, Ming Li
Semi-Supervised Regression with Co-Training. IJCAI (2005)