Fan, Jiaojiao

13 publications

TMLR 2025 Client-Only Distributed Markov Chain Monte Carlo Sampling over a Network Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

ICML 2025 One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng

AISTATS 2025 Proximal Sampler with Adaptive Step Size Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen

NeurIPS 2024 RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen

UAI 2023 Generating Synthetic Datasets by Interpolating Along Generalized Geodesics Jiaojiao Fan, David Alvarez-Melis

COLT 2023 Improved Dimension Dependence of a Proximal Algorithm for Sampling Jiaojiao Fan, Bo Yuan, Yongxin Chen

TMLR 2023 Neural Monge mAP Estimation and Its Applications Jiaojiao Fan, Shu Liu, Shaojun Ma, Hao-Min Zhou, Yongxin Chen

COLT 2023 On a Class of Gibbs Sampling over Networks Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen

AISTATS 2022 On the Complexity of the Optimal Transport Problem with Graph-Structured Cost Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen

NeurIPSW 2022 Generating Synthetic Datasets by Interpolating Along Generalized Geodesics Jiaojiao Fan, David Alvarez-Melis

ICLRW 2022 Scalable Computation of Monge Maps with General Costs Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Hao-Min Zhou

ICML 2022 Variational Wasserstein Gradient Flow Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen

ICML 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen