Ming Li
Orcid: 0000-0001-7977-5500Affiliations:
- Nanjing University, National Key Laboratory for Novel Software Technology, China
According to our database1,
Ming Li
authored at least 80 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Mach. Learn., June, 2024
IEEE Trans. Medical Imaging, January, 2024
IEEE Trans. Pattern Anal. Mach. Intell., 2024
A Joint Learning Model with Variational Interaction for Multilingual Program Translation.
CoRR, 2024
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.
CoRR, 2024
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Enhancing unsupervised domain adaptation by exploiting the conceptual consistency of multiple self-supervised tasks.
Sci. China Inf. Sci., April, 2023
IEEE Trans. Software Eng., March, 2023
APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation.
CoRR, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation.
CoRR, 2023
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
The flowing nature matters: feature learning from the control flow graph of source code for bug localization.
Mach. Learn., 2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
CoRR, 2022
Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization.
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Nat. Mach. Intell., 2020
Knowl. Inf. Syst., 2020
Automatic fetal brain extraction from 2D in utero fetal MRI slices using deep neural network.
Neurocomputing, 2020
CoRR, 2020
Proceedings of The 12th Asian Conference on Machine Learning, 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol., 2019
Neurocomputing, 2019
CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci., 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Detectability and reproducibility of the olfactory fMRI signal under the influence of magnetic susceptibility artifacts in the primary olfactory cortex.
NeuroImage, 2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
ACONA: active online model adaptation for predicting continuous integration build failures.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
The best answer prediction by exploiting heterogeneous data on software development Q&A forum.
Neurocomputing, 2017
CoRR, 2017
Proceedings of the 14th International Conference on Mining Software Repositories, 2017
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013].
ACM SIGSOFT Softw. Eng. Notes, 2015
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015
2013
Proceedings of the Intelligence Science and Big Data Engineering, 2013
2012
Autom. Softw. Eng., 2012
2011
2010
Sci. China Inf. Sci., 2010
2009
Softw. Pract. Exp., 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
2007
Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples.
IEEE Trans. Syst. Man Cybern. Part A, 2007
IEEE Trans. Knowl. Data Eng., 2007
Int. J. Data Warehous. Min., 2007
2006
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005