Min-Ling Zhang

About Min-Ling Zhang

Min-Ling Zhang, With an exceptional h-index of 43 and a recent h-index of 37 (since 2020), a distinguished researcher at Southeast University, specializes in the field of Artificial Intelligence, Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Binary classification with confidence difference

Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning

Multiple-instance Learning from Triplet Comparison Bags

Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach

Student Loss: Towards the Probability Assumption in Inaccurate Supervision

The Appendix for Disentangled Partial Label Learning

Long-tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

Disentangled Partial Label Learning

Min-Ling Zhang Information

University

Position

Professor School of Computer Science and Engineering

Citations(all)

17283

Citations(since 2020)

9751

Cited By

11435

hIndex(all)

43

hIndex(since 2020)

37

i10Index(all)

79

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Min-Ling Zhang Skills & Research Interests

Artificial Intelligence

Machine Learning

Data Mining

Top articles of Min-Ling Zhang

Binary classification with confidence difference

Advances in Neural Information Processing Systems

2024/2/13

Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning

NeurIPS 2023 - Advances in Neural Information Processing Systems 36

2023/5/26

Multiple-instance Learning from Triplet Comparison Bags

ACM Transactions on Knowledge Discovery from Data (TKDD)

2024

Dimensionality Reduction for Partial Label Learning: A Unified and Adaptive Approach

IEEE TKDE

2024/2/1

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Student Loss: Towards the Probability Assumption in Inaccurate Supervision

IEEE TPAMI

2024/1/23

The Appendix for Disentangled Partial Label Learning

2024

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Long-tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

2024

Ran Wang
Ran Wang

H-Index: 3

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Disentangled Partial Label Learning

2024

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Distilling Reliable Knowledge for Instance-dependent Partial Label Learning

2024

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

EAT: Towards Long-Tailed Out-of-Distribution Detection

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Tong Wei
Tong Wei

H-Index: 4

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis

International Journal of Machine Learning and Cybernetics

2024/3/18

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Multi-instance partial-label learning: Towards exploiting dual inexact supervision

Science China Information Sciences

2024

Partial Multi-Label Learning with Probabilistic Graphical Disambiguation

Advances in Neural Information Processing Systems

2024/2/13

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Identifying generalizable equilibrium pricing strategies for charging service providers in coupled power and transportation networks

Advances in Applied Energy

2023/12/1

Learning label-specific features for decomposition-based multi-class classification

Frontiers of Computer Science

2023/12

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Multi-label classification with high-rank and high-order label correlations

IEEE Transactions on Knowledge and Data Engineering

2023/11/6

Instance-Dependent Partial Label Learning with Identifiable Causal Representations

2023/10/27

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning

arXiv preprint arXiv:2309.11930

2023/9/21

Bo Ye
Bo Ye

H-Index: 1

Tong Wei
Tong Wei

H-Index: 4

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Learning from noisy labels via dynamic loss thresholding

IEEE Transactions on Knowledge and Data Engineering

2023/9/11

Robust Representation Learning for Unreliable Partial Label Learning

arXiv preprint arXiv:2308.16718

2023/8/31

Yu Shi
Yu Shi

H-Index: 17

Xin Geng
Xin Geng

H-Index: 28

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

See List of Professors in Min-Ling Zhang University(Southeast University)

Co-Authors

academic-engine