Yufan Zhou

Ph.D. student

Department of Computer Science and Engineering
University at Buffalo
Davis Hall, Buffalo, NY, 14260

Email: yufanzho AT buffalo DOT edu

Bio

I am a Ph.D. student (Fall 2018 - present) co-advised by Prof. Jinhui Xu and Prof. Changyou Chen. I received my B.E. degree from Zhejiang University.
I'm broadly interested in machine learning and deep learning.
I worked as a Research Intern with Chunyuan Li (Microsoft Research, Summer 2020), Ruiyi Zhang (Adobe Research, Summer 2021).

Publications

  1. LAFITE: Towards Language-Free Training for Text-to-Image Generation (code)
    Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  2. Interactive Image Generation with Natural-Language Feedback
    Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun.
    AAAI conference on Artificial Intelligence (AAAI), 2022.

  3. Meta-Learning with Neural Tangent Kernels
    Yufan Zhou*, Zhenyi Wang*, Jiayi Xian, Changyou Chen, Jinhui Xu.
    International Conference on Learning Representations (ICLR), 2021.

  4. MixKD: Towards Efficient Distillation of Large-scale Language Models
    Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin.
    International Conference on Learning Representations (ICLR), 2021.

  5. Learning Manifold Implicitly via Explicit Heat Kernel Learning
    Yufan Zhou, Changyou Chen, Jinhui Xu.
    Conference on Neural Information Processing Systems (NeurIPS), 2020.

  6. Weakly-supervised Brain Tumor Classification with Global Diagnosis Label (Oral)
    Yufan Zhou, Zheshuo Li, Chunwei Ma, Mingchen Gao, Changyou Chen, Hong Zhu, Jinhui Xu.
    IEEE International Symposium on Biomedical Imaging (ISBI), 2020.

  7. Variational Adversarial Kernel Learned Imitation Learning (Spotlight)
    Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong.
    AAAI conference on Artificial Intelligence (AAAI), 2020.

  8. Learning Diverse Stochastic Action-Generators by Learning Smooth Latent Transitions (Spotlight)
    Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen.
    AAAI conference on Artificial Intelligence (AAAI), 2020.

  9. Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network
    Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu.
    International Conference on Medical Image Computing and Computer Assisted Intervention, Brain Lesion Workshop (BrainLes, MICCAI), 2018.

Manuscripts/Preprints

  1. A Generic Approach for Enhancing GANs by Regularized Latent Optimization
    Yufan Zhou, Chunyuan Li, Changyou Chen, Jinhui Xu.

  2. Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
    Yufan Zhou, Changyou Chen, Jinhui Xu.

  3. KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
    Yufan Zhou, Changyou Chen, Jinhui Xu.

  4. Graph Neural Networks with Composite Kernels
    Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu.

Professional Service