Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. - Yaxuan Zhu; Ruiqi Gao; Siyuan Huang 001; Song-Chun Zhu; Ying Nian Wu (CVPR, 2021)

A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. - Jianwen Xie; Yaxuan Zhu; Jun Li 098; Ping Li 001 (ICLR, 2022)

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. - Khoa D. Doan; Jianwen Xie; Yaxuan Zhu; Yang Zhao; Ping Li 001 (CoRR, 2022)

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. - Jianwen Xie; Yaxuan Zhu; Yifei Xu; Dingcheng Li; Ping Li 001 (AAAI, 2023)

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. - Yaxuan Zhu; Jianwen Xie; Ping Li 001 (AISTATS, 2023)

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. - Peiyu Yu; Yaxuan Zhu; Sirui Xie; Xiaojian Ma 001; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2023)

Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation. - Weinan Song; Yaxuan Zhu; Lei He 001; Yingnian Wu; Jianwen Xie (CoRR, 2023)

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. - Yaxuan Zhu; Jianwen Xie; Ying Nian Wu; Ruiqi Gao (ICLR, 2024)

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. - Yasi Zhang; Peiyu Yu; Yaxuan Zhu; Yingshan Chang; Feng Gao 013; Ying Nian Wu; Oscar Leong (NeurIPS, 2024)

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC. - Yaxuan Zhu; Zehao Dou; Haoxin Zheng; Yasi Zhang; Ying Nian Wu; Ruiqi Gao (CoRR, 2024)

Energy-Based Model and its Applications - Yaxuan Zhu (2024)