Strudel: Learning Structured-Decomposable Probabilistic Circuits. - Meihua Dang; Antonio Vergari; Guy Van den Broeck (PGM, 2020)

Group Fairness by Probabilistic Modeling with Latent Fair Decisions. - YooJung Choi 001; Meihua Dang; Guy Van den Broeck (AAAI, 2021)

Juice: A Julia Package for Logic and Probabilistic Circuits. - Meihua Dang; Pasha Khosravi; Yitao Liang; Antonio Vergari; Guy Van den Broeck (AAAI, 2021)

Sparse Probabilistic Circuits via Pruning and Growing. - Meihua Dang; Anji Liu; Guy Van den Broeck (NeurIPS, 2022)

Tractable and Expressive Generative Models of Genetic Variation Data. - Meihua Dang; Anji Liu; Xinzhu Wei; Sriram Sankararaman; Guy Van den Broeck (RECOMB, 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)

Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL. - Baiting Zhu; Meihua Dang; Aditya Grover (ICLR, 2023)

Tractable Control for Autoregressive Language Generation. - Honghua Zhang; Meihua Dang; Nanyun Peng 001; Guy Van den Broeck (ICML, 2023)

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 (CVPR, 2024)

Personalized Preference Fine-tuning of Diffusion Models. - Meihua Dang; Anikait Singh; Linqi Zhou; Stefano Ermon; Jiaming Song (CVPR, 2025)

Scaling Probabilistic Circuits via Monarch Matrices. - Honghua Zhang; Meihua Dang; Benjie Wang 001; Stefano Ermon; Nanyun Peng 001; Guy Van den Broeck (CoRR, 2025)

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition. - Jiaqi Han; Austin Wang; Minkai Xu; Wenda Chu; Meihua Dang; Yisong Yue; Stefano Ermon (CoRR, 2025)

Divergence Minimization Preference Optimization for Diffusion Model Alignment. - Binxu Li; Minkai Xu; Meihua Dang; Stefano Ermon (CoRR, 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, 2025)