Meihua Dang

According to our database, Meihua Dang authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling.

Meihua Dang, Jiaqi Han, Minkai Xu, Kai Xu, Akash Srivastava, Stefano Ermon

CoRR, July, 2025

Divergence Minimization Preference Optimization for Diffusion Model Alignment.

Binxu Li, Minkai Xu, Meihua Dang, Stefano Ermon

CoRR, July, 2025

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition.

Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon

CoRR, July, 2025

Scaling Probabilistic Circuits via Monarch Matrices.

Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck

CoRR, June, 2025

Personalized Preference Fine-tuning of Diffusion Models.

Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Diffusion Model Alignment Using Direct Preference Optimization.

Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Tractable Control for Autoregressive Language Generation.

Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck

Proceedings of the International Conference on Machine Learning, 2023

Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL.

Baiting Zhu, Meihua Dang, Aditya Grover

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits.

Meihua Dang, Antonio Vergari, Guy Van den Broeck

Int. J. Approx. Reason., 2022

Tractable and Expressive Generative Models of Genetic Variation Data.

Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck

Proceedings of the Research in Computational Molecular Biology, 2022

Sparse Probabilistic Circuits via Pruning and Growing.

Meihua Dang, Anji Liu, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Juice: A Julia Package for Logic and Probabilistic Circuits.

Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Group Fairness by Probabilistic Modeling with Latent Fair Decisions.

YooJung Choi, Meihua Dang, Guy Van den Broeck

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Strudel: Learning Structured-Decomposable Probabilistic Circuits.

Meihua Dang, Antonio Vergari, Guy Van den Broeck

Proceedings of the International Conference on Probabilistic Graphical Models, 2020