Zichao Yang (杨子超) 
    zichaoy[AT]cs.cmu.edu
     
    
      I'm a Ph.D. student in the Computer Science Department
      at CMU, where I work with Prof. Alex Smola.
      I am interested in machine learning, deep learning and their applications
      in computer vision, natural language processing. Before coming to CMU, I
      obtained my master degree from
      The Chinese University of Hong Kong, advised by
      Prof. John C.S. Lui and my bachelor degree from
      Shanghai Jiao Tong University.
    
    
      I previously interned in Google DeepMind
      working with Chris Dyer and Phil Blunsom, and MSR
      working with Xiaodong He, Jianfeng Gao and Li Deng.
    
    
       Google scholar
    
    Publications
    
    
      - 
        Unsupervised Text Style Transfer using Language Models as Discriminators.
        Zichao Yang, Zhiting Hu, Chris Dyer, Eric Xing, Taylor Berg-Kirkpatrick. 
        NIPS 2018.
          PDF 
- 
        Deep Generative Models with Learnable Knowledge Constraints.
        Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing.
        NIPS 2018.
          PDF 
- 
        On Unifying Deep Generative Models.
        Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing.
        ICLR 2018.
          PDF 
- 
        Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
        Zichao Yang, Zhiting Hu,
        Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick.
        ICML 2017.
          PDF 
- 
        Controllable Text Generation 
         Zhiting Hu, Zichao Yang,
          Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing.
         ICML 2017.
          PDF  
- 
        Reference-Aware Language Models
        Zichao Yang, Phil
        Blunsom, Chris Dyer, Wang Ling.
        EMNLP 2017.
          PDF  
- 
        Neural Machine Translation with Recurrent Attention Modeling
        Zichao Yang, Zhiting
        Hu, Yuntian Deng, Chris Dyer, Alex Smola. 
         EACL 2017, Oral.
          PDF 
- 
        Deep neural networks with massive learned knowledge
        Zhiting Hu, Zichao Yang,
        Ruslan Salakhutdinov, Eric P Xing. 
        EMNLP, 2016.
          PDF 
- 
        Hierarchical attention networks for document classification
        Zichao Yang, Diyi Yang,
        Chris Dyer, Xiaodong He, Alex Smola, Eduard Hovy. 
          NAACL 2016, Oral.
          PDF  
- 
        Stacked attention networks for image question answering
        Zichao Yang, Xiaodong
        He, Jianfeng Gao, Li Deng, Alex Smola. 
          CVPR 2016, Oral.
          PDF  
- 
        Deep fried convnets
        Zichao Yang, Marcin
        Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu
        Wang. 
          ICCV 2015, Oral.
          PDF  
- 
        A la carte-learning fast kernels
        Zichao Yang, Alexander
        J Smola, Le Song, Andrew Gordon Wilson. 
          AISTATS 2015, Oral.
          PDF 
Teaching
    
    
      - TA: 10-701 Machine Learning, Autumn 2014, CMU
- TA: 10-601 Machine Learning, Spring 2016, CMU