Meihua Dang
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23)
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Deep Learning
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Models
(5)
Application Areas
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types Β· Machine Learning
(3)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Core AI
(1)
Generation
(1)
Keywords
probabilistic circuit
(5)
generative modeling
(2)
direct preference optimization
(2)
text-to-image generation
(2)
diffusion model
(2)
probabilistic inference
(1)
structure learning
(1)
variational inference
(1)
autoregressive generation
(1)
personalized generation
(1)
language modeling
(1)
preference optimization
(1)
density estimation
(1)
reinforcement learning from human feedback
(1)
likelihood estimation
(1)
model pruning
(1)
model alignment
(1)
tractable inference
(1)
parameter learning
(1)
text-to-image synthesis
(1)
Papers
Personalized Preference Fine-tuning of Diffusion Models
CVPR 2025
Scaling Probabilistic Circuits via Monarch Matrices
ICML 2025
Diffusion Model Alignment Using Direct Preference Optimization
CVPR 2024
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
ICLR 2023
Tractable Control for Autoregressive Language Generation
ICML 2023
Sparse Probabilistic Circuits via Pruning and Growing
NeurIPS 2022
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
AAAI 2021
Juice: A Julia Package for Logic and Probabilistic Circuits
AAAI 2021
Strudel: Learning Structured-Decomposable Probabilistic Circuits
PGM 2020