Jintao HUANG

News

• [Accept] 12/2024, one paper accepted by AAAI2025 (First Author, CCF-A).
• [Accept] 06/2024, one paper accepted by IEEE Trans. on Neural Networks and Learning Systems (First Author).
• [Accept] 03/2024, one cooperated paper accepted by IEEE Trans. on Knowledge and Data Engineering (Congratulations to Yihui and Qianzhi).
• [Accept] 01/2024, one cooperated paper accepted by IEEE Trans. on Neural Networks and Learning Systems (Congratulations to Yanqiang).
• [Accept] 07/2023, one survey paper accepted by Information Fusion (Corresponding Author)
• [Oral Defense] 06/2023, I have passed the Oral Defense of Thesis. The presentation topic is "Large-scale High-dimensional Multi-label Learning with Label Ambiguity"
• [TPA] 03/2023, I have passed the Thesis Proposal Assessment (TPA). The presentation topic is "Joint Label Enhancement and Label Distribution Learning for High-dimensional Label Ambiguity Problem via Fuzzy Broad Learning System"
• [Award] 03/2023, the Excellent Master's Degree Thesis of Jiangxi Province in 2021. 荣获江西省优秀硕士学位论文！(2021年参评).
• [Accept] 02/2023, one paper accepted by IEEE Trans. on Fuzzy Systems (First Author).
• [Activity] 12/2022, participate in ACCV2022 in Macao, China, as a delegate.
• [Accept] 11/2022, two papers accepted by IEEE Trans. on Emerging Topics in Computational Intelligence (First Author).
• [QE] 06/2022, I have passed the Qualifying Exam (QE). The presentation topic is "Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System"
• [Accept] 04/2022, one paper accepted by IEEE Trans. on Neural Networks and Learning Systems (First Author).
• [Activity] 11/2021, participate in the CCF-YOCSEF (China Computer Association Youth Computer Science and Technology Forum) Deep Technology Forum: Will Broad Learning Lead the Development of Artificial Intelligence?

Publications

Selected Papers

1. GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning,
   J.T. Huang, Y.M. Cheung, C.M. Vong, W.B.Qian
   Conference of Association for the Advancement of Artificial Intelligence (AAAI), Accepted,2025.
   DOI: https://doi.org/10.48550/arXiv.2412.14561
   

2. Broad Multitask Learning System With Group Sparse Regularization,
   J.T. Huang, C.Q. Chen, C.M. Vong, Y.M. Cheung
   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), In Press,2024.
   DOI: 10.1109/TNNLS.2024.3416191
   

3. Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity,
   W.B. Qian, Y.H. Li, Q.Z. Ye, S.Y. Xia, J.T. Huang, W.P. Ding
   IEEE Transactions on Knowledge and Data Engineering (TKDE), In Press,2024.
   DOI: 10.1109/TKDE.2024.3405489
   

4. Partial multi-label learning via robust feature selection and relevance fusion optimization,
   W.B. Qian, Y.Q. Tu, J.T. Huang*, W.P. Ding
   Knowledge-based Systems (KBS), 2024.
   DOI: j.knosys.2023.111365
   

5. Partial Multi-Label Learning Using Noise-tolerant Broad Learning System with Label Enhancement and Dimensionality Reduction,
   W.B. Qian, Y.Q.Tu, J.T. Huang*, W.H. Shu, Y.M. Cheung
   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, In Press.
   DOI: 10.1109/TNNLS.2024.3352285
   

6. Label correlations-based multi-label feature selection with label enhancement,
   W.B. Qian, Y.S.Xiong, W.P. Ding, J.T. Huang*, C.M. Vong
   Engineering Applications of Artificial Intelligence (EAAI), 2024, In Press.
   DOI: j.engappai.2023.107310
   

7. A survey on multi-label feature selection from perspectives of label fusion,
   W.B. Qian, J.T. Huang*, F.K. Xu, W.P. Ding
   Information Fusion (INFUS), 2023.
   DOI: https://doi.org/10.1016/j.inffus.2023.101948
   

8. A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning,
   W.B. Qian, F.K. Xu, J.T. Huang*, J. Qian
   Knowledge-based Systems (KBS), 2023.
   DOI: 10.1016/j.knosys.2023.110898
   

9. Granular ball-based label enhancement for dimensionality reduction in multi-label data,
   W.B. Qian, W.Y. Ruan, Y.H. Li, J.T. Huang*
   Applied Intelligence , 2023.
   DOI: https://link.springer.com/article/10.1007/s10489-023-04771-6
   

10. Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-based Polynomial Fuzzy Broad Learning System,
    J.T. Huang, C.M. Vong*, G.T. Wang, W.B. Qian, Y.M. Zhou*, C.L.P. Chen
    IEEE Transactions on Fuzzy Systems (TFS), 2023.
    DOI: 10.1109/TFUZZ.2023.3249192
    

11. Multi-label Feature Selection via Label Enhancement and Analytic Hierarchy Process,
    J.T. Huang, W.B. Qian*, C.M. Vong, W.P. Ding, W.H. Shu, Q. Huang
    IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023.
    DOI: 10.1109/TETCI.2022.3231655
    

12. Online Label Distribution Learning using Random Vector Functional-link network,
    J.T. Huang, C.M. Vong*, W.B. Qian, Q. Huang, Y.M. Zhou*
    IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023.
    DOI: 10.1109/TETCI.2022.3230400
    

13. Incomplete Label Distribution Feature Selection based on Neighborhood-tolerance Discrimination Index,
    W.B. Qian*, P. Dong, S.M. Dai, J.T. Huang, Y.L. Wang
    Applied Soft Computing (ASOC), 2022.
    DOI: 10.1016/j.asoc.2022.109693
    

14. Relevance-based Label Distribution Feature Selection Via Convex Optimization,
    W.B. Qian*, Q.Z. Ye, Y.H. Li, J.T. Huang, S.M. Dai
    Information Sciences (INS), 2022.
    DOI: 10.1016/j.ins.2022.05.094
    

15. Local Rough Set-based Feature Selection for Label Distribution Learning with Incomplete Labels,
    W.B. Qian*, P. Dong, Y.L. Wang, S.M. Dai, J.T. Huang
    International Journal of Machine Learning and Cybernetics (IJMLC), 2022.
    DOI: 10.1007/s13042-022-01528-4
    

16. Accurate and Efficient Large-Scale Multi-Label Learning with Reduced Feature Broad Learning System Using Label Correlation,
    J.T. Huang, C.M. Vong*, C.L.P. Chen, Y.M. Zhou
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
    DOI: 10.1109/TNNLS.2022.3165299
    

17. Feature Selection based on Label distribution and Fuzzy Mutual Information,
    C.Z. Xiong, W.B. Qian*, Y.L. Wang, J.T. Huang
    Information Sciences (INS), 2021.
    DOI: 10.1016/j.ins.2021.06.005
    

18. Label Distribution Feature Selection for Multi-Label Classification with Rough Set,
    W.B. Qian*, J.T. Huang*, Y.L. Wang, Y.H. Xie
    International Journal of Approximate Reasoning (IJAR), 2021.
    DOI: 10.1016/j.ijar.2020.10.002
    

19. Mutual Information-based Label Distribution Feature Selection for Multi-Label Learning,
    W.B. Qian*, J.T. Huang*, Y.L. Wang, W.H. Shu
    Knowledge-based Systems (KBS), 2020.
    DOI: 10.1016/j.knosys.2020.105684
    

20. Cost-Sensitive Feature Selection Based on Label Significance and Positive Region,
    J.T. Huang*, W.B. Qian*, B.L. Wu, Y.L. Wang
    International Conference on Machine Learning and Cybernetics (ICMLC), 2019.
    DOI: 10.1109/ICMLC48188.2019.8949182
    

Funded / Participated Projects

• Intelligent Diagnosis of Gastric Intestinal Metaplasia by using Gastroscopic images and Incremental Broad Learning Systems
  Role: Participant
  Source: Macao Science and Technology Development Fund (FDCT)-No.0004/2020/AFJ, 2020-2023.
• The Key Technology of Deep Fuzzy Learning for Small Samples of Medical Images and Its Application in COVID-19 images
  Role: Participant
  Source: Macao Science and Technology Development Fund (FDCT)-No.0112/2020/A, 2020-2023.
• Granular Computing Model and Knowledge Discovery for Labeled Distributed Data
  Role: Participant
  Source: National Natural Science Foundation of China - No. 61966016, 2018-2021.
• Feature selection and application of multi-label learning
  Role: PI
  Source: Jiangxi Province Graduate Innovation Special Research Project - No. YC2018-S192, 2018-2020.

Services

Journal Reviewer

• Reviewer for IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
• Reviewer for IEEE Transactions on Cybernetics (IEEE TCYB)
• Reviewer for IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI)
• Reviewer for Knowledge Information System (KIS)
• Reviewer for Information Sciences (INS)
• Reviewer for International Journal of Approximate Reasoning (IJAR)
• Reviewer for International Journal of Machine Learning and Cybernetics (IJMLC)
• Reviewer for Engineering Applications of Artificial Intelligence (EAAI)
• Reviewer for Science Report

Conference

• PC Member of ECAI2024
• PC Member of ICPR2024

Selected Honors

• the Excellent Master's Degree Thesis of Jiangxi Province in 2021 (2023).
• First Prize of National Big Data Skills Competition (China) (2019).
• Second Prize of 2019 Jiangxi Mathematical Modeling Competition (Jiangxi, China) (2019).
• Second Prize of 2018 National University Big Data Application Innovation Competition (Central China Division) (2018).
• Third Prize of 2018 Jiangxi Mathematical Modeling Competition (Jiangxi, China) (2018).
• Excellent papers of the 12th Hunan Provincial Graduate Innovation Forum 'Big Data and Smart Agriculture' (Hunan, China). (2018).
• National Scholarship, National Inspirational Scholarship, Jiangxi Province Graduate Student Scholarship, First Class of Jiangxi Agricultural University Scholarship (2013-2020).