Chaojie Wang
21 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (9)
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Conference Polyglot
(9)
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Academic Marathon
(6)
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Cross-Pollinator
(13)
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Grand Slam
π₯
Mega-Team
(28)
π€
Dynamic Duo
(15)
π¬
Deep Specialist
(10)
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Keyword Champion
(4)
ποΈ
Keyword Collector
(78)
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Prolific Year
(5)
π₯
Unstoppable
(7)
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Century Club
(21)
Conferences
NIPS (8)
ICML (5)
ACL (2)
AAAI (1)
AISTATS (1)
CVPR (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
topic model
(7)
variational inference
(6)
variational autoencoder
(4)
document representation
(4)
topic modeling
(3)
representation learning
(3)
latent representation
(3)
reinforcement learning
(2)
ensemble learning
(2)
topic embedding
(2)
document classification
(2)
gamma belief network
(2)
semantic clustering
(2)
policy gradient
(2)
language model
(2)
posterior collapse
(2)
community detection
(1)
text representation
(1)
supervised learning
(1)
document understanding
(1)
Papers
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
ACL 2025
Cradle: Empowering Foundation Agents towards General Computer Control
ICML 2025
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
ICLR 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
ICML 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning
CVPR 2024
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
NIPS 2023
Knowledge-Aware Bayesian Deep Topic Model
NIPS 2022
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning
NIPS 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE
NIPS 2022
Bayesian Deep Embedding Topic Meta-Learner
ICML 2022
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
IJCNLP 2021
TopicNet: Semantic Graph-Guided Topic Discovery
NIPS 2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
AAAI 2021
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
ACL 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
ICML 2021
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
NIPS 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
Bidirectional Convolutional Poisson Gamma Dynamical Systems
NIPS 2020
Convolutional Poisson Gamma Belief Network
ICML 2019