1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
Jun Zhuang, Mohammad Al Hasan
In recent years, plentiful evidence illustrates that Graph Convolutional Networks (GCNs) achieve extraordinary accomplishments on the node classification task. However, GCNs may be…
cs.LG2021★ 1 cited
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Jun Zhuang, Mohammad Al Hasan
Supervised learning, while deployed in real-life scenarios, often encounters instances of unknown classes. Conventional algorithms for training a supervised learning model do not p…
eess.IV2020
Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Networks
Jun Zhuang, Dali Wang
Microscopic images from multiple modalities can produce plentiful experimental information. In practice, biological or physical constraints under a given observation period may pre…