Wenpin Tang - RankMe

38 papers A* 6Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule. CoRR Yilie Huang, Wenpin Tang, Xun Yu Zhou
2026	J	`jnl`	Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach. CoRR Zhengyi Guo, Wenpin Tang, Renyuan Xu
2025	J	`jnl`	DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning. CoRR Hanyang Zhao, Dawen Liang, Wenpin Tang, David D. Yao, Nathan Kallus
2025	J	`jnl`	Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance. CoRR Zhengyi Guo, Jiatu Li, Wenpin Tang, David D. Yao
2025	J	`jnl`	Fine-Tuning Diffusion Generative Models via Rich Preference Optimization. CoRR Hanyang Zhao, Haoxian Chen, Yucheng Guo, Genta Indra Winata, Tingting Ou, Ziyu Huang, David D. Yao, Wenpin Tang
2025	A*	`conf`	MallowsPO: Fine-Tune Your LLM with Preference Dispersions. ICLR Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang
2025	J	`jnl`	Policy Iteration for the Deterministic Control Problems - A Viscosity Approach. SIAM J. Control. Optim. Wenpin Tang, Hung V. Tran, Yuming Paul Zhang
2025	J	`jnl`	Polynomial Voting Rules. Math. Oper. Res. Wenpin Tang, David D. Yao
2025	J	`jnl`	Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey. J. Artif. Intell. Res. Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu
2025	A*	`conf`	RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. ICLR Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu
2025	J	`jnl`	SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations. CoRR Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David D. Yao, Zeyu Zheng
2025	A*	`conf`	Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. ICML Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang
2025	J	`jnl`	Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning. CoRR Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang
2025	J	`jnl`	The Convergence Rate of Vanishing Viscosity Approximations for Mean Field Games. SIAM J. Math. Anal. Wenpin Tang, Yuming Paul Zhang
2025	J	`jnl`	Understanding Sampler Stochasticity in Training Diffusion Models for RLHF. CoRR Jiayuan Sheng, Hanyang Zhao, Haoxian Chen, David D. Yao, Wenpin Tang
2024	J	`jnl`	Contractive Diffusion Probabilistic Models. CoRR Wenpin Tang, Hanyang Zhao
2024	J	`jnl`	Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond. CoRR Wenpin Tang
2024	J	`jnl`	Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions. CoRR Haoxian Chen, Hanyang Zhao, Henry Lam, David D. Yao, Wenpin Tang
2024	J	`jnl`	Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey. CoRR Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. Yao, Shi-Xiong Zhang, Sambit Sahu
2024	J	`jnl`	RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. CoRR Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu
2024	J	`jnl`	Regret of exploratory policy improvement and CoRR Wenpin Tang, Xun Yu Zhou
2024	J	`jnl`	Score-based Diffusion Models via Stochastic Differential Equations - a Technical Tutorial. CoRR Wenpin Tang, Hanyang Zhao
2024	J	`jnl`	Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning. CoRR Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang
2023	J	`jnl`	Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds. J. Mach. Learn. Res. Didong Li, Wenpin Tang, Sudipto Banerjee
2023	A*	`conf`	Policy Optimization for Continuous Reinforcement Learning. NeurIPS Hanyang Zhao, Wenpin Tang, David D. Yao
2023	J	`jnl`	Policy Optimization for Continuous Reinforcement Learning. CoRR Hanyang Zhao, Wenpin Tang, David D. Yao
2023	J	`jnl`	Policy iteration for the deterministic control problems - a viscosity approach. CoRR Wenpin Tang, Hung Vinh Tran, Yuming Paul Zhang
2023	J	`jnl`	Transaction fee mechanism for Proof-of-Stake protocol. CoRR Wenpin Tang, David D. Yao
2022	J	`jnl`	A Class of Stochastic Games and Moving Free Boundary Problems. SIAM J. Control. Optim. Xin Guo, Wenpin Tang, Renyuan Xu
2022	J	`jnl`	Asset selection via correlation blockmodel clustering. Expert Syst. Appl. Wenpin Tang, Xiao Xu, Xun Yu Zhou
2022	J	`jnl`	Exploratory HJB Equations and Their Convergence. SIAM J. Control. Optim. Wenpin Tang, Yuming Paul Zhang, Xun Yu Zhou
2021	J	`jnl`	Arcsine laws for random walks generated from random permutations with applications to genomics. J. Appl. Probab. Xiao Fang, Han L. Gan, Susan P. Holmes, Haiyan Huang, Erol Peköz, Adrian Röllin, Wenpin Tang
2020	J	`jnl`	Learning an arbitrary mixture of two multinomial logits. CoRR Wenpin Tang
2020	J	`jnl`	Perturbed gradient descent with occupation time. CoRR Xin Guo, Jiequn Han, Wenpin Tang
2020	A*	`conf`	The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application. ICML Wenpin Tang, Xin Guo, Fengmin Tang
2019	J	`jnl`	Consistency of the Buckley-Osthus model and the hierarchical preferential attachment model. CoRR Xin Guo, Fengmin Tang, Wenpin Tang
2019	J	`jnl`	Exponential ergodicity and convergence for generalized reflected Brownian motion. Queueing Syst. Theory Appl. Wenpin Tang
2019	A*	`conf`	Mallows ranking models: maximum likelihood estimate and regeneration. ICML Wenpin Tang