💬 About Me

I am currently a research intern in Prof. Hongxin Wei’s research group at the Southern University of Science and Technology.
I am a third year Ph.D. student of Department of Computer Science and Technology in Nanjing University and a member of IIP Group, suprivised by prof. Chongjun Wang. Before that, I received my B.Sc. degree from Nanjing University in June 2022.
My current research interests mainly focus on Conformal Prediction, Uncertainty Quantification, Graph Neural Networks.

🔥 News

2024.12: 🎉🎉 One paper were accepted to AAAI 2025. (CCF-A, Acceptance ratio 23.4%).
2024.09: 🎉🎉 One paper were accepted to NeurIPS Main Track 2024. (CCF-A, Acceptance ratio 25.8%).

(* Corresponding author)

Similarity-Navigated Conformal Prediction for Graph Neural Networks [arXiv]
Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang , Shuangjie Li, Chongjun Wang*
In Proceddings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
Normalize then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang*
In Proceddings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).

Python toolbox for conformal prediction research on deep learning models, using PyTorch. The technical report can give you a quickstart.

2022.09 - Now : Admitted to pursue for a Ph.D. degree in School of Computer Science, Nanjing University without entrance examination.
2018.09 - 2022.06 : Receive my B.Sc. degree from Department of Computer Science and Technology, Nanjing University.

2024.09 - Now : Department of Statistics and Data Science, Southern University of Science and Technology. Supervised by Prof. Hongxin Wei.