About Me
I am Kaizheng Wang (王凯征), a postdoctoral research fellow at the College of Computing and Data Science, Nanyang Technological University, Singapore, working under the supervision of Prof. Siu Lun Chau.I obtained my PhD from the Department of Computer Science at KU Leuven, Belgium, where I was advised by Prof. Hans Hallez and Prof. David Moens. I have also had the privilege of working closely with Prof. Fabio Cuzzolin, from whom I have also received invaluable guidance.
My current research centers on uncertainty representation and quantification in deep learning, aiming to enhance the robustness, reliability, and trustworthiness of machine learning models. If you have any questions about my research or would like to collaborate with me, please feel free to reach me.
News
- 2026.01.12: 🎉🎉 I officially started my journey as a research fellow at NTU.
- 2025.11.08: 🎉🎉 Our Credal Ensemble Distillation paper was accpeted by AAAI 2026.
- 2025.10.31: 🎉🎉 I successfully defended my PhD on Deep Credal Neural Networks for Uncertainty Quantification. I sincerely thank all the amazing people for their years of support, guidance, and encouragement.
- 2025.10.26: 🎉🎉 Our review paper was accpeted by TPAMI.
- 2025.02.11: 🎉🎉 Our Credal Wrapper paper was awarded Spotlight by ICLR 2025 (3.3% acceptance rate).
- 2025.01.22: 🎉🎉 Two papers were accpeted by ICLR 2025.
Selected Publications
- Credal Ensemble Distillation for Uncertainty Quantification
Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez.
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.
- A Review of Uncertainty Representation and Quantification in Neural Networks
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 48, 2476-2495, 2026.
- Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez.
The 13th International Conference on Learning Representations (ICLR), 2025. [Spotlight]
- CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez.
Neural Networks (NN), Volume 185, 107198, 2025.
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Credal Deep Ensembles for Uncertainty Quantification
Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez.
The 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
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Enhancing the Dependability of Autonomous Surface Vehicles through Robustness Benchmarking of Real-time Object Detection Models
Yunjia Wang; Zihao Zhang, Kaizheng Wang, Holger Caesar, Jeroen Boydens, Davy Pissoort, Mathias Verbeke.
Expert Systems with Applications (ESWA), Volume 296, 129151, 2026.
- Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin.
The 13th International Conference on Learning Representations (ICLR), 2025.
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A Unified Evaluation Framework for Epistemic Predictions
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin.
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
- Robust State and Protection-Level Estimation within Tightly Coupled GNSS/INS Navigation System
Shuchen Liu, Kaizheng Wang, Dirk Abel.
GPS Solutions (GPS Solut), Volume 27, 111, 2023.
Educations
KU Leuven, Bruges, Belgium
2021.11 - 2025.10
RWTH Aachen University, Aachen, Germany
2018.04 - 2020.10
Zhejiang University, Hangzhou, China
2013.09 - 2017.06
Academic and Educational Services
- Workshop Organization: Co-organizer of E-pi UAI 2023
- Conference Reviewer: NeurIPS; ICLR; ICML; AAAI; IJCAI; AISTATS
- Journal Reviewer: TMLR; IEEE SPL; IEEE OJCS
- Teaching: Lab session of AI in Embedded Systems [B-KUL-B3076T]
- Master Thesis Supervision: T. Demeulenaere and S. Francq (2022-2023); L. De Jonckheere (2022-2023); A. Beigrezaei (2023-2024)