Chaojie Wang
20 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Keyword Pioneer
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Grand Slam
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Topic Evolution
π€
Dynamic Duo
(14)
β‘
Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(103)
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(12)
Deep Learning
(11)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Models
(7)
Core AI
(5)
Applications
(4)
Architectures
(4)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Bayesian & Probabilistic
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Keywords
variational inference
(7)
topic model
(6)
variational autoencoder
(5)
document representation
(4)
topic modeling
(3)
representation learning
(3)
latent representation
(3)
gamma belief network
(2)
large language model
(2)
topic embedding
(2)
policy gradient
(2)
document classification
(2)
reinforcement learning
(2)
posterior collapse
(2)
supervised learning
(1)
document understanding
(1)
language modeling
(1)
ensemble learning
(1)
graph representation learning
(1)
reinforcement learning from human feedback
(1)
Papers
Cradle: Empowering Foundation Agents towards General Computer Control
ICML 2025
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
ACL 2025
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
ICLR 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning
CVPR 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
ICML 2024
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
NeurIPS 2023
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
NeurIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning
NeurIPS 2022
Bayesian Deep Embedding Topic Meta-Learner
ICML 2022
Knowledge-Aware Bayesian Deep Topic Model
NeurIPS 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE
NeurIPS 2022
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
ACL 2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
AAAI 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
ICML 2021
TopicNet: Semantic Graph-Guided Topic Discovery
NeurIPS 2021
Bidirectional Convolutional Poisson Gamma Dynamical Systems
NeurIPS 2020
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
NeurIPS 2020
Friendly Topic Assistant for Transformer Based Abstractive Summarization
EMNLP 2020
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification
AISTATS 2020
Convolutional Poisson Gamma Belief Network
ICML 2019