Ming Li

113 papers A* 32A 5B 2C 1Misc 1Journal 62Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls.
AAAI
Renbiao Liu, Chao-Zeng Ma, Anqi Li, Hui Sun, Xin-Ye Li, Ming Li
2026 J jnl
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng.
Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Hanqi Jiang, Yifan Zhou, Xiaoyan Kui, Youlan Shang, Lin Zhao, Li Yang, Yaonai Wei, Zhuoyi Li, Jiadong Zhang, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Wei Liu, Xiang Li, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
2026 J jnl
Design-Specification Tiling for ICL-based CAD Code Generation.
CoRR
Yali Du, San-Zhuo Xi, Hui Sun, Ming Li
2026 A* conf
Dynamic-Static Synergistic Selection Method for Candidate Code Solutions with Generated Test Cases.
AAAI
Renbiao Liu, Jiang-Tian Xue, Chao-Zeng Ma, Hui Sun, Xin-Ye Li, Ming Li
2026 J jnl
Learning-augmented smooth integer programs with PAC-learnable oracles.
CoRR
Hao-Yuan He, Ming Li
2025 J jnl
A Learnability Analysis on Neuro-Symbolic Learning.
CoRR
Hao-Yuan He, Ming Li
2025 A conf
APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation.
ICSME
Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2025 J jnl
Capturing the context-aware code change via dynamic control flow graph for commit message generation.
Mach. Learn.
Yali Du, Ying Li, Yi-Fan Ma, Ming Li
2025 J jnl
Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge.
IEEE Trans. Medical Imaging
Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni
2025 J jnl
Enhancing LLMs in Long Code Translation through Instrumentation and Program State Alignment.
CoRR
Xin-Ye Li, Ya-Li Du, Ming Li
2025 J jnl
From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare.
Medical Image Anal.
Ming Li, Pengcheng Xu, Junjie Hu, Zeyu Tang, Guang Yang
2025 J jnl
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs.
CoRR
Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li
2025 J jnl
Mitigating Negative Transfer via Reducing Environmental Disagreement.
CoRR
Hui Sun, Zheng Xie, Hao-Yuan He, Ming Li
2025 J jnl
Post-Incorporating Code Structural Knowledge Into Pretrained Models via ICL for Code Translation.
IEEE Trans. Software Eng.
Yali Du, Hui Sun, Ming Li
2025 J jnl
Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation.
CoRR
Yali Du, Hui Sun, Ming Li
2025 J jnl
Probabilistic instance dependent label refinement for noisy label learning.
Mach. Learn.
Hao-Yuan He, Yu Liu, Renbiao Liu, Zheng Xie, Ming Li
2025 A* conf
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
ICML
Renbiao Liu, Anqi Li, Chaoding Yang, Hui Sun, Ming Li
2024 J jnl
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
IEEE Trans. Medical Imaging
Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li
2024 A* conf
A Joint Learning Model with Variational Interaction for Multilingual Program Translation.
ASE
Yali Du, Hui Sun, Ming Li
2024 J jnl
A Joint Learning Model with Variational Interaction for Multilingual Program Translation.
CoRR
Yali Du, Hui Sun, Ming Li
2024 A* conf
AUC Optimization from Multiple Unlabeled Datasets.
AAAI
Zheng Xie, Yu Liu, Ming Li
2024 A* conf
Ambiguity-Aware Abductive Learning.
ICML
Hao-Yuan He, Hui Sun, Zheng Xie, Ming Li
2024 J jnl
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.
CoRR
Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni
2024 A* conf
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization.
IJCAI
Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li
2024 J jnl
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare.
CoRR
Ming Li, Pengcheng Xu, Junjie Hu, Zeyu Tang, Guang Yang
2024 J jnl
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.
IEEE Trans. Neural Networks Learn. Syst.
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
2024 A conf
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
RecSys
Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li
2024 J jnl
Reduced implication-bias logic loss for neuro-symbolic learning.
Mach. Learn.
Hao-Yuan He, Wang-Zhou Dai, Ming Li
2024 J jnl
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
2024 — conf
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation.
ISBI
Ming Li, Guang Yang
2023 J jnl
APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation.
CoRR
Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2023 J jnl
AUC Optimization from Multiple Unlabeled Datasets.
CoRR
Zheng Xie, Yu Liu, Ming Li
2023 A* conf
Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation.
ICDM
Yali Du, Yi-Fan Ma, Zheng Xie, Ming Li
2023 A* conf
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
ICSE
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023 J jnl
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
CoRR
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023 A* conf
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization.
IJCAI
Yi-Fan Ma, Yali Du, Ming Li
2023 J jnl
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR
Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
2023 A* conf
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation.
AAAI
Hui Sun, Zheng Xie, Xin-Ye Li, Ming Li
2023 J jnl
Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks.
Sci. China Inf. Sci.
Hui Sun, Ming Li
2023 J jnl
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
IEEE Trans. Emerg. Top. Comput. Intell.
Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang
2023 J jnl
Machine/Deep Learning for Software Engineering: A Systematic Literature Review.
IEEE Trans. Software Eng.
Simin Wang, Liguo Huang, Amiao Gao, Jidong Ge, Tengfei Zhang, Haitao Feng, Ishna Satyarth, Ming Li, He Zhang, Vincent Ng
2023 A* conf
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training.
AAAI
Zheng Xie, Hui Sun, Ming Li
2023 J jnl
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation.
CoRR
Xin-Ye Li, Jiang-Tian Xue, Zheng Xie, Ming Li
2023 J jnl
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach.
CoRR
Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
2022 J jnl
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
CoRR
Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang
2022 A* conf
Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization.
ICDM
Yi-Fan Ma, Ming Li
2022 J jnl
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning.
CoRR
Haoyuan He, Wang-Zhou Dai, Ming Li, Yu Liu, Yongchang Ma
2022 J jnl
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
CoRR
Liang Jin, Shixuan Gu, Donglai Wei, Kaiming Kuang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li
2022 J jnl
The flowing nature matters: feature learning from the control flow graph of source code for bug localization.
Mach. Learn.
Yi-Fan Ma, Ming Li
2021 J jnl
Deep Transfer Bug Localization.
IEEE Trans. Software Eng.
Xuan Huo, Ferdian Thung, Ming Li, David Lo, Shu-Ting Shi
2021 A* conf
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).
AAAI
Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
2021 A* conf
Towards Generating Summaries for Lexically Confusing Code through Code Erosion.
IJCAI
Fan Yan, Ming Li
2020 J jnl
Automatic fetal brain extraction from 2D in utero fetal MRI slices using deep neural network.
Neurocomputing
Jinpeng Li, Yishan Luo, Lin Shi, Xin Zhang, Ming Li, Bing Zhang, Defeng Wang
2020 A* conf
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization.
AAAI
Xuan Huo, Ming Li, Zhi-Hua Zhou
2020 J jnl
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution.
CoRR
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
2020 A* conf
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution.
AAAI
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
2020 J jnl
Enhancing supervised bug localization with metadata and stack-trace.
Knowl. Inf. Syst.
Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu
2020 C conf
Learning Code Changes by Exploiting Bidirectional Converting Deviation.
ACML
Jia-Wei Mi, Shu-Ting Shi, Ming Li
2020 J jnl
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis.
Comput. Biol. Medicine
Ming Li, Chengjia Wang, Heye Zhang, Guang Yang
2020 J jnl
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
CoRR
Simin Wang, Liguo Huang, Jidong Ge, Tengfei Zhang, Haitao Feng, Ming Li, He Zhang, Vincent Ng
2020 J jnl
Towards a new generation of artificial intelligence in China.
Nat. Mach. Intell.
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
2020 J jnl
Unified model for interpreting multi-view echocardiographic sequences without temporal information.
Appl. Soft Comput.
Ming Li, Shizhou Dong, Zhifan Gao, Cheng Feng, Huahua Xiong, Wei Zheng, Dhanjoo N. Ghista, Heye Zhang, Victor Hugo C. de Albuquerque
2019 A* conf
Automatic Code Review by Learning the Revision of Source Code.
AAAI
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo
2019 J jnl
CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci.
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2019 — conf
DeepReview: Automatic Code Review Using Deep Multi-instance Learning.
PAKDD (2)
Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo
2019 J jnl
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol.
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
2019 A* conf
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector.
AAAI
Yan-Ya Zhang, Ming Li
2019 A* conf
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially.
AAAI
Yudong Zhang, Wenhao Zheng, Ming Li
2019 J jnl
On cost-effective software defect prediction: Classification or ranking?
Neurocomputing
Xuan Huo, Ming Li
2019 A* conf
On the Robust Splitting Criterion of Random Forest.
ICDM
Bin-Bin Yang, Wei Gao, Ming Li
2019 J jnl
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation.
CoRR
Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
2019 — conf
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.
MICCAI (2)
Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
2019 J jnl
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness.
CoRR
Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
2019 — conf
Towards One Reusable Model for Various Software Defect Mining Tasks.
PAKDD (3)
Heng-Yi Li, Ming Li, Zhi-Hua Zhou
2018 — conf
ACONA: active online model adaptation for predicting continuous integration build failures.
ICSE (Companion Volume)
Ansong Ni, Ming Li
2018 A* conf
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization.
IJCAI
Zheng Xie, Ming Li
2018 J jnl
Detectability and reproducibility of the olfactory fMRI signal under the influence of magnetic susceptibility artifacts in the primary olfactory cortex.
NeuroImage
Jiaming Lu, Xin Wang, Zhao Qing, Zhu Li, Wen Zhang, Ying Liu, Lihua Yuan, Le Cheng, Ming Li, Bin Zhu, Xin Zhang, Qing X. Yang, Bing Zhang
2018 J jnl
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2018 A conf
Holistic and Deep Feature Pyramids for Saliency Detection.
BMVC
Shizhong Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, Shuo Li
2018 A* conf
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding.
ICDM
Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan
2018 A* conf
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training.
IJCAI
Huihui Wei, Ming Li
2018 — ed.
Proceedings of the 7th International Workshop on Software Mining, SoftwareMining@ASE 2018, Montpellier, France, September 3, 2018
SoftwareMining@ASE
Ming Li, Xiaoyin Wang, David Lo
2018 A* conf
Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data.
AAAI
Zheng Xie, Ming Li
2018 A* conf
T2S: Domain Adaptation Via Model-Independent Inverse Mapping and Model Reuse.
ICDM
Zhi-Yu Shen, Ming Li
2017 J jnl
Code Attention: Translating Code to Comments by Exploiting Domain Features.
CoRR
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2017 A conf
Cost-effective build outcome prediction using cascaded classifiers.
MSR
Ansong Ni, Ming Li
2017 A* conf
Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code.
IJCAI
Xuan Huo, Ming Li
2017 A* conf
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code.
IJCAI
Huihui Wei, Ming Li
2017 J jnl
The best answer prediction by exploiting heterogeneous data on software development Q&A forum.
Neurocomputing
Wenhao Zheng, Ming Li
2016 A* conf
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code.
IJCAI
Xuan Huo, Ming Li, Zhi-Hua Zhou
2016 — ed.
Proceedings of the 5th International Workshop on Software Mining, SoftwareMining@ASE 2016, Singapore, Singapore, September 3, 2016
SoftwareMining@ASE
Ming Li, Xiaoyin Wang, Lucia
2015 A conf
Constrained feature selection for localizing faults.
ICSME
Tien-Duy B. Le, David Lo, Ming Li
2015 J jnl
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013].
ACM SIGSOFT Softw. Eng. Notes
Ming Li, Hongyu Zhang, David Lo, Lucia
2013 — conf
PerGrab: Adapting Grabbing Gesture Recognition for Personalized Non-contact HCI.
IScIDE
Tao Li, Ming Li
2012 J jnl
Sample-based software defect prediction with active and semi-supervised learning.
Autom. Softw. Eng.
Ming Li, Hongyu Zhang, Rongxin Wu, Zhi-Hua Zhou
2011 J jnl
Software Defect Detection with Rocus.
J. Comput. Sci. Technol.
Yuan Jiang, Ming Li, Zhi-Hua Zhou
2010 J jnl
Exploiting remote learners in Internet environment with agents.
Sci. China Inf. Sci.
Ming Li, Wei Wang, Zhi-Hua Zhou
2010 J jnl
Semi-supervised learning by disagreement.
Knowl. Inf. Syst.
Zhi-Hua Zhou, Ming Li
2009 A* conf
Exploiting Multi-Modal Interactions: A Unified Framework.
IJCAI
Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou
2009 A* conf
Learning instance specific distances using metric propagation.
ICML
De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou
2009 J jnl
Mining extremely small data sets with application to software reuse.
Softw. Pract. Exp.
Yuan Jiang, Ming Li, Zhi-Hua Zhou
2009 J jnl
Semi-supervised document retrieval.
Inf. Process. Manag.
Ming Li, Hang Li, Zhi-Hua Zhou
2008 B conf
Mining Bulletin Board Systems Using Community Generation.
PAKDD
Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou
2008 — conf
Online Manifold Regularization: A New Learning Setting and Empirical Study.
ECML/PKDD (1)
Andrew B. Goldberg, Ming Li, Xiaojin Zhu
2007 J jnl
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples.
IEEE Trans. Syst. Man Cybern. Part A
Ming Li, Zhi-Hua Zhou
2007 J jnl
Predicting Future Customers via Ensembling Gradually Expanded Trees.
Int. J. Data Warehous. Min.
Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-Hua Zhou
2007 J jnl
Semisupervised Regression with Cotraining-Style Algorithms.
IEEE Trans. Knowl. Data Eng.
Zhi-Hua Zhou, Ming Li
2006 — conf
Generation of Comprehensible Hypotheses from Gene Expression Data.
BioDM
Yuan Jiang, Ming Li, Zhi-Hua Zhou
2006 Misc conf
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation.
GrC
Fei Chen, Lin Shang, Ming Li, Zhaoqian Chen, Shifu Chen
2005 J jnl
Multi-Instance Learning Based Web Mining.
Appl. Intell.
Zhi-Hua Zhou, Kai Jiang, Ming Li
2005 B conf
SETRED: Self-training with Editing.
PAKDD
Ming Li, Zhi-Hua Zhou
2005 A* conf
Semi-Supervised Regression with Co-Training.
IJCAI
Zhi-Hua Zhou, Ming Li
2005 J jnl
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers.
IEEE Trans. Knowl. Data Eng.
Zhi-Hua Zhou, Ming Li