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Deng-Bao Wang

About Deng-Bao Wang

Deng-Bao Wang, With an exceptional h-index of 6 and a recent h-index of 6 (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:

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

Student Loss: Towards the Probability Assumption in Inaccurate Supervision

Multiple-Instance Learning from Triplet Comparison Bags

Distilling Reliable Knowledge for Instance-dependent Partial Label Learning

On the Pitfall of Mixup for Uncertainty Calibration

Partial-Label Regression

Learning from Noisy Labels via Dynamic Loss Thresholding

Partial Label Learning with Emerging New Labels

Deng-Bao Wang Information

University

Position

Ph.D. Student .

Citations(all)

304

Citations(since 2020)

304

Cited By

27

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Deng-Bao Wang Skills & Research Interests

Artificial Intelligence

Machine Learning

Data Mining

Top articles of Deng-Bao Wang

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

Shuo Zhang
Shuo Zhang

H-Index: 2

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Multiple-Instance Learning from Triplet Comparison Bags

ACM Transactions on Knowledge Discovery from Data (TKDD)

2024

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Hongxin Wei
Hongxin Wei

H-Index: 1

Lei Feng
Lei Feng

H-Index: 9

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

On the Pitfall of Mixup for Uncertainty Calibration

2023

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Partial-Label Regression

2023

Xin Cheng
Xin Cheng

H-Index: 24

Lei Feng
Lei Feng

H-Index: 9

Bo An
Bo An

H-Index: 31

Learning from Noisy Labels via Dynamic Loss Thresholding

IEEE Transactions on Knowledge and Data Engineering

2023/9/11

Hao Yang
Hao Yang

H-Index: 1

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Xin Geng
Xin Geng

H-Index: 28

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Partial Label Learning with Emerging New Labels

Machine Learning

2022/10/17

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Revisiting Consistency Regularization for Deep Partial Label Learning

2022

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Adaptive graph guided disambiguation for partial label learning

IEEE TPAMI

2022

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Li Li
Li Li

H-Index: 15

Rethinking Calibration of Deep Neural Networks: Don't Be Afraid of Overconfidence

2021

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Lei Feng
Lei Feng

H-Index: 9

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Learning from Complementary Labels via Partial-Output Consistency Regularization

2021

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Lei Feng
Lei Feng

H-Index: 9

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

Learning from Noisy Labels with Complementary Loss Functions

2021

Deng-Bao Wang
Deng-Bao Wang

H-Index: 2

Min-Ling Zhang
Min-Ling Zhang

H-Index: 31

See List of Professors in Deng-Bao Wang University(Southeast University)