[Google Scholar]

Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang, Mohammad Al Hasan. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022.

Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
Jun Zhuang, Mohammad Al Hasan. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 4405-4413 (2022).

How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Jun Zhuang, Mohammad Al Hasan. Neural Processing Letters, 54, 2997–3018 (2022).

Deperturbation of Online Social Networks via Bayesian Label Transition
Jun Zhuang, Mohammad Al Hasan. Proceedings of the 2022 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2022.

Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Jun Zhuang, Mohammad Al Hasan. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Cham, 2021.

Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks
Jun Zhuang, Dali Wang. International Conference on Medical Imaging and Computer-Aided Diagnosis. Springer, Singapore, 2021.

Into the Reverie: Exploration of the Dream Market
Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George Mohler. 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019.

Lighter U-Net for Segmenting White Matter Hyperintensities in MR Images
Jun Zhuang, Mingchen Gao, Mohammad Al Hasan. Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 2019.