Welcome to Yin Zheng's Homepage



My name is Yin Zheng (郑胤), I received Ph.D from Tsinghua University under the supervision of Prof. Yu-Jin Zhang (Tsinghua University) and Prof. Hugo Larochelle (Google Brain & Université de Sherbrooke, Québec, Canada). My research interest is Deep Learning, Machine Learning, Computer Vision and Artificial Intelligence.  I like tennis, and I‘m a big fan of Roger Federer. Our tennis team got the first prize of tennis (马约翰杯）in Tsinghua at April 2015. I graduated from Tsinghua at 2015.
I have left Hulu LLC., where I served as a researcher for recommendation. I am now a Research Scientist at Tencent's AI Lab.

 Contact Information: yzheng3xg AT gmail DOT com



  Publications        Projects          Activities         Awards  

         
    
 News
         I have one paper accepted by IJCAI2017, which achieves the STOA performance on clustering tasks by combining VAE and GMM!
         I have 2 papers accepted by ICML2016!
         I have one paper accepted by Trans. Pattern Analysis and Machine Intelligence (PAMI), A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data
         I have one paper accepted by International Journal of Computer Vision (IJCV), A Neural Autoregressive Approach to Attention-based Recognition
         I have one paper accepted by CVPR 2014, Topic Modeling of Multimodal Data: an Autoregressive Approach
                                       
 
  • Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering [pdf]
         Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou
           International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017
  • Neural Autoregressive Collaborative Filtering for Implicit Feedback [pdf]
         Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
           Workshop of Deep Learning for Recommender System,  in conjunction with the RecSys 2016, Boston.
         Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou
           International Conference on Machine Learning (ICML), 2016
    • Dynamic Capacity Networks[link]
              Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron Courville
               International Conference on Machine Learning (ICML), 2016
    • A Neural Autoregressive Approach to Attention-based Recognition [pdf]
             Yin Zheng, Richard S. Zemel, Yu-Jin Zhang, Hugo Larochelle
               International Journal of Computer Vision (IJCV), 113(1): 67-79, 2015
    • A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [Project Page]
             Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
               IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted
    • A Locality Preserving Approach for Kernel PCA
             Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang
               Proceedings of the 8th International Conference on Image and Graphics (LNCS 9217), 121-135, 2015
    • Topic Modeling of Multimodal Data: an Autoregressive Approach [pdf] [Dataset and Code]
      • Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
       IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  Columbus, Ohio, USA, 2014
    • A Failure-Aware Explicit Shape Regression Model for Facial Landmark Detection in Video
              Meiqing Zhang, Linmi Tao, Yin Zheng, and Yangzhou Du
              IEEE SIGNAL PROCESSING LETTERS, VOL. 21, NO. 2, FEBRUARY 2014
    • Deep Learning and its New Progress in Object and Behavior Recognition (中文)
              Yin Zheng, Quan-Qi Chen, Yu-Jin Zhang
              Journal of Image and Graphics,  2014,19(2):175~184
    • Discriminant Sparse Coding For Image Classification
              Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng
              IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012.

    • Action recognition in still images using a combination of human pose and context information
             Yin Zheng, Yu-Jin Zhang, Xue Li, Bao-Di Liu
              IEEE International Conference on Image Processing (ICIP), Orlando, Florida, USA, 2012


    • Visual Object Detection and Tracking,  project cooperated with OMRON Co. ltd, 2011
    • Multi-angle Face Detection and Human Segmentation in Images, internship in PicturePlex, Beijing and Munich, 2011
    • Face Landmark Detection in Video,  internship in Intel Lab of China, Beijing, 2012



    • Scholarship of Doctoral Student for short term visiting abroad, Tsinghua University, 2013 
    • First prize of Comprehensive scholarship (2015)
    • National Scholarships (2008)
    • National Scholarships (2007)
    • First Prize in Beijing, China Undergraduate Mathematical Contest in Modeling, 2007
    • Third Prize, Electrical Mathematical Contest in Modeling (EMCM) of China, 2007