Selected Awards

  • Meta Research PhD Fellowship Finalist, 2023
  • Nvidia Graduate Fellowship Finalist, 2022, 2023
  • Qualcomm Innovation Fellowship, 2021
  • Stanford School of Engineering (SoE) Fellowship, 2020
  • Chinese National Scholarship, 2016, 2018, 2019


Multi-Object Manipulation via Object-Centric Neural Scattering Functions
Learning Object-centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
Unsupervised Discovery and Composition of Object Light Fields
Rotationally Equivariant 3D Object Detection
Hong-Xing Yu, Jiajun Wu, Li Yi
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
Neural Radiance Flow for 4D View Synthesis and Video Processing
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
Oral Presentation
Letter-level Online Writer Identification
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Weakly Supervised Discriminative Feature Learning with State Information for Person Identification
Hong-Xing Yu, Wei-Shi Zheng
Unsupervised Person Re-identification by Soft Multilabel Learning
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
Oral Presentation
Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
Adversarial Attribute-Image Person Re-identification
Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Xiaowei Guo, Feiyue Huang, Jian-Huang Lai
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
RGB-infrared Cross-modality Person Re-identification
Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jian-Huang Lai