Zhibin Duan
15 papers · 2020–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(15)
π
Trend Setter
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(72)
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(10)
Natural Language Processing
(8)
Deep Learning
(7)
Artificial Intelligence
(6)
Applications
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Architectures
(3)
Core AI
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Optimization & Theory
(2)
Keywords
variational inference
(8)
topic model
(7)
topic modeling
(4)
document representation
(3)
latent representation
(3)
bayesian inference
(2)
graph convolutional network
(2)
generative model
(2)
topic embedding
(2)
variational autoencoder
(2)
anomaly detection
(1)
language modeling
(1)
document understanding
(1)
bayesian learning
(1)
few-shot learning
(1)
memory recall
(1)
hierarchical topic modeling
(1)
policy gradient
(1)
document classification
(1)
semantic memory
(1)
Papers
Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer
ICLR 2025
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
UAI 2024
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
ICML 2023
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
NeurIPS 2023
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
NeurIPS 2023
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
NeurIPS 2022
Bayesian Deep Embedding Topic Meta-Learner
ICML 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
ICML 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
NeurIPS 2022
Knowledge-Aware Bayesian Deep Topic Model
NeurIPS 2022
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
ACL 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
ICML 2021
TopicNet: Semantic Graph-Guided Topic Discovery
NeurIPS 2021
Friendly Topic Assistant for Transformer Based Abstractive Summarization
EMNLP 2020
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification
AISTATS 2020