Min-Ling Zhang
Southeast University
H-index: 43
Asia-China
Top articles of Min-Ling Zhang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach | IEEE TKDE | Xiang-Ru Yu Deng-Bao Wang Min-Ling Zhang | 2024/2/1 |
Multi-instance partial-label learning: Towards exploiting dual inexact supervision | Science China Information Sciences | Wei Tang Weijia Zhang Min-Ling Zhang | 2024 |
Student Loss: Towards the Probability Assumption in Inaccurate Supervision | IEEE TPAMI | Shuo Zhang Jian-Qing Li Hamido Fujita Yu-Wen Li Deng-Bao Wang | 2024/1/23 |
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation | Advances in Neural Information Processing Systems | Jun-Yi Hang Min-Ling Zhang | 2024/2/13 |
The Appendix for Disentangled Partial Label Learning | Wei-Xuan Bao Yong Rui Min-Ling Zhang | 2024 | |
Binary classification with confidence difference | Advances in Neural Information Processing Systems | Wei Wang Lei Feng Yuchen Jiang Gang Niu Min-Ling Zhang | 2024/2/13 |
Long-tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation | Yuheng Jia Xiaorui Peng Ran Wang Min-Ling Zhang | 2024 | |
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning | NeurIPS 2023 - Advances in Neural Information Processing Systems 36 | Wei Tang Weijia Zhang Min-Ling Zhang | 2023/5/26 |
EAT: Towards Long-Tailed Out-of-Distribution Detection | Proceedings of the AAAI Conference on Artificial Intelligence | Tong Wei Bo-Lin Wang Min-Ling Zhang | 2024/3/24 |
Disentangled Partial Label Learning | Wei-Xuan Bao Yong Rui Min-Ling Zhang | 2024 | |
Multiple-instance Learning from Triplet Comparison Bags | ACM Transactions on Knowledge Discovery from Data (TKDD) | Senlin Shu Deng-Bao Wang Suqin Yuan Hongxin Wei Jiuchuan Jiang | 2024 |
Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis | International Journal of Machine Learning and Cybernetics | Bin-Bin Jia Jun-Ying Liu Min-Ling Zhang | 2024/3/18 |
Distilling Reliable Knowledge for Instance-dependent Partial Label Learning | Dong-Dong Wu Deng-Bao Wang Min-Ling Zhang | 2024 | |
Partial-label regression | Xin Cheng Dengbao Wang Lei Feng Minling Zhang Bo An | 2023 | |
Stochastic feature averaging for learning with long-tailed noisy labels | Hao-Tian Li Tong Wei Hao Yang Kun Hu Chong Peng | 2023/8/19 | |
Learning from noisy labels via dynamic loss thresholding | IEEE Transactions on Knowledge and Data Engineering | Hao Yang You-Zhi Jin Zi-Yin Li Deng-Bao Wang Xin Geng | 2023/9/11 |
Identifying generalizable equilibrium pricing strategies for charging service providers in coupled power and transportation networks | Advances in Applied Energy | Yujian Ye Hongru Wang Tianxiang Cui Xiaoying Yang Shaofu Yang | 2023/12/1 |
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations | Pattern Recognition | Bin-Bin Jia Min-Ling Zhang | 2023/6/1 |
Complementary Classifier Induced Partial Label Learning | Yuheng Jia Chongjie Si Min-Ling Zhang | 2023/8/6 | |
Robust Representation Learning for Unreliable Partial Label Learning | arXiv preprint arXiv:2308.16718 | Yu Shi Dong-Dong Wu Xin Geng Min-Ling Zhang | 2023/8/31 |
Co-Authors
