Yaxuan Zhu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Top Venues

Publications

Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR (2024)
Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR (2024)
Yaxuan Zhu, Jianwen Xie, Ping Li
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR (2023)
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR (2023)
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS (2023)
Yaxuan Zhu, Jianwen Xie, Ping Li
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS (2023)
Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI (2023)
Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation. CoRR (2023)
Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR (2023)
Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. CoRR (2023)
Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR (2022)
Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR (2022)
Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR (2022)
Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CVPR (2021)
Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CoRR (2021)