Dengbao Wang

Orcid: 0000-0002-6130-7220

According to our database1, Dengbao Wang authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning From Noisy Labels via Dynamic Loss Thresholding.
IEEE Trans. Knowl. Data Eng., November, 2024

Student Loss: Towards the Probability Assumption in Inaccurate Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Multiple-instance Learning from Triplet Comparison Bags.
ACM Trans. Knowl. Discov. Data, May, 2024

Partial label learning with emerging new labels.
Mach. Learn., April, 2024

Calibration Bottleneck: Over-compressed Representations are Less Calibratable.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
On the Pitfall of Mixup for Uncertainty Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Partial-Label Regression.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Graph Guided Disambiguation for Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Partial Label Learning with Gradually Induced Error-Correction Output Codes.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Revisiting Consistency Regularization for Deep Partial Label Learning.
Proceedings of the International Conference on Machine Learning, 2022

2021
Learning from Noisy Labels via Dynamic Loss Thresholding.
CoRR, 2021

Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning from Complementary Labels via Partial-Output Consistency Regularization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning from Noisy Labels with Complementary Loss Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Multi-View Multi-Label Learning with View-Specific Information Extraction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Deep Prediction Model of Traffic Flow Considering Precipitation Impact.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Extracting Label Importance Information for Multi-label Classification.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
ProductRec: Product Bundle Recommendation Based on User's Sequential Patterns in Social Networking Service Environment.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Exploiting Label Correlations Using DBN Chains for Multi-Label Classification.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Learning Intermediary Category Labels for Personal Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017


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