Research Interests
Weakly Supervised Learning
Deep Learning Phenomenology
Uncertainty Quantification in Classification and Regression
Publications (†Equal Contribution)
-
Revisiting Consistency Regularization for Deep Partial Label Learning.
D.-D. Wu†, D.-B. Wang†, M.-L. Zhang.
In: Proceedings of the 39th International Conference on Machine Learning.
-
Adaptive Graph Guided Disambiguation for Partial Label Learning.
D.-B. Wang, M.-L. Zhang, L. Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.
-
Rethinking Calibration of Deep Neural Networks: Don't Be Afraid of Overconfidence.
D.-B. Wang, L. Feng, M.-L. Zhang.
In: Advances in Neural Information Processing Systems, Virtual Conference.
-
Learning from Complementary Labels via Partial-Output Consistency Regularization.
D.-B. Wang, L. Feng, M.-L. Zhang.
In: Proceedings of the 30th International Joint Conference on Artificial Intelligence, Virtual Conference.
- Learning from Noisy Labels with Complementary Loss Functions.
D.-B. Wang, Y. Wen, L. Pan, M.-L. Zhang.
In: Proceedings of the 35th AAAI Conference on Artificial Intelligence, Virtual Conference.
- Adaptive Graph Guided Disambiguation for Partial Label Learning.
D.-B. Wang, L. Li, M.-L. Zhang.
In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Anchorage, AK, USA.
- Multi-View Multi-Label Learning with View-Specific Information Extraction.
X. Wu, Q.-G. Chen, Y. Hu, D.-B. Wang, X. Chang, X. Wang, M.-L. Zhang.
In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macao, China.
Honors
National Scholarship for First-Year PhD Students 2019
Outstanding Graduates, Southwest University 2019
National Scholarship 2018
Merit Student Award, Southwest University 2018
First Class Academic Scholarship, Southwest University 2016, 2017, 2018
Academic Services
PC Member for ICML (2022), IJCAI(2022), AAAI (2022, 2021), ECML/PKDD (2022), ACML (2021), ICMLA (2021), IAAI (2022, 2021).
Invited Journal Reviewer for IEEE TPAMI, ACM TIST, ACM TKDD, IEEE TMM, JCST, Neurocomputing.