Chaojie Wang

11

Papers

0

Total Citations

Papers (11)

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network

Bidirectional Convolutional Poisson Gamma Dynamical Systems

TopicNet: Semantic Graph-Guided Topic Discovery

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE

A Variational Edge Partition Model for Supervised Graph Representation Learning

Knowledge-Aware Bayesian Deep Topic Model

Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory

Convolutional Poisson Gamma Belief Network