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Tian Han

Assistant Professor

School of Engineering and Science
Stevens Institute of Technology




I’m currently a tenure-track Assistant Professor in the Department of Computer Science from Stevens Institute of Technology. Prior to joining the Stevens faculty, I obtained my Ph.D from the Department of Statistics at UCLA, where I worked closely with Dr. Ying Nian Wu and Dr. Song-Chun Zhu. From 2010-2013, I obtained a Master of Philosophy (M.Phil.) in computer science at HKUST, working with Dr. Chiew-lan Tai and Dr. Long Quan.


Research interest: generative modeling, un-/semi-supervised learning, representation learning, and relevant applications in computer vision and natural language. Interested in collaboration? Contact me.

news

Oct 21, 2023 One paper has been accepted by WACV 2024.
Sep 22, 2023 One paper has been accepted by NeurIPS 2023.
Jul 15, 2023 One paper has been accepted by ICCV 2023.
Jun 9, 2023 One paper has been accepted by UAI 2023.
Mar 30, 2023 One paper has been accepted by CVPR 2023.

selected publications

2023

  1. CVPR
    Learning Joint Latent Space EBM Prior Model for Multi-layer Generator
    Jiali Cui, Ying Nian Wu, and Tian Han
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

2022

  1. NeurIPS
    Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
    Zhisheng Xiao, and Tian Han
    In Advances in Neural Information Processing Systems (NeurIPS) , 2022

2020

  1. NeurIPS
    Learning Latent Space Energy-Based Prior Model
    Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, and Ying Nian Wu
    In Advances in Neural Information Processing Systems (NeurIPS) , 2020
  2. CVPR
    Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
    Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, and Ying Nian Wu
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2020

2019

  1. CVPR
    Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
    Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, and Ying Nian Wu
    In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

2017

  1. AAAI
    Alternating Back-Propagation for Generator Network
    Tian Han, Yang Lu, Song-Chun Zhu, and Ying Nian Wu
    In the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017