Deng-Bao WANG

Ph.D. Student

School of Computer Science and Engineering

Southeast University

🏢 Computer Building, Jiulonghu Campus of Southeast University, Nanjing, China
📨 wangdb[at]seu.edu.cn  OR  wangdb.seu[at]gmail.com

Google Scholar | Github 

I am now a second year Ph.D. student (supervised by Prof. Min-Ling Zhang) of School of Computer Science and Engineering in Southeast University and a member of PALM group. You can also see me in this link.

Research

• Weakly-Supervised Learning

• Uncertainty Quantification in Classification and Regression

• Deep Learning Phenomena

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 (ICML), 2022.


• Adaptive Graph Guided Disambiguation for Partial Label Learning.
  D.-B. Wang, M.-L. Zhang, L. Li.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.


• 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 (NeurIPS), 2021.


• 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 (IJCAI), 2021.


• Learning from Noisy Labels with Complementary Loss Functions. [Paper] [Code]
  D.-B. Wang, Y. Wen, L. Pan, M.-L. Zhang.
  In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.


• 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 (IJCAI), 2019.


• Adaptive Graph Guided Disambiguation for Partial Label Learning. [Paper] [Code]
  D.-B. Wang, L. Li, M.-L. Zhang.
  In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019.

Honors

• National Scholarship for New PhD Students   2019

• Outstanding Graduate Award of Southwest University   2019

• National Scholarship   2018

• First Class Academic Scholarship of 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.