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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). I am now a Research Scientist at Weixin Group, Tencent, focusing on Information Retrieval and Content Understanding. Before that, I was at Machine Learning Center of Tencent's AI Lab for Recommender Systems Techniques, AutoML(Neural Architecture Search), etc. My research interest is Deep Learning, Machine Learning, Computer Vision, specifically, AutoML and Recommender Systems. I like tennis, and I‘m a big fan of Roger Federer. Our tennis team won the first prize of tennis (马约翰杯) in Tsinghua at April 2015, and I am the vice president of Tencent Tennis Club where I organized the Tencent Tennis Championship of 2018. I graduated from Tsinghua University in 2015. Before joining Tencent, I was a researcher at Hulu for recommender system.

Publications Projects Activities Awards


1 paper accepted by TPAMI

1 paper accepted by ECCV 2020!

1 paper accepted by ICML 2020!

1 paper accepted by ICLR 2020!

1 paper accepted by NeurIPS 2019, see you in Vancouver!

1 paper accepted by IEEE Transaction on Image Processing!

1 paper accepted by ICML 2019, see you in Long Beach!

1 paper accepted by IEEE Transaction on Knowledge and Data Engineering

1 paper accepted by CVPR 2019!


  • Towards Accurate and Compact Architectures via Neural Architecture Transformer

Yong Guo*, Yin Zheng*, Mingkui Tan*, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Xuefei Ning*, Yin Zheng*, Tianchen Zhao, Yu Wang, Huazhong Yang


  • Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Yong Guo*, Yaofo Chen*, Yin Zheng*, Peilin Zhao*, Jian Chen, Junzhou Huang

The International Conference on Machine Learning (ICML), 2020

  • Towards Fast Adaptation of Neural Architectures with Meta Learning

Dongze Lian*, Yin Zheng*(Equal Contribution), Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao

The International Conference on Learning Representations (ICLR), 2020

  • NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Yong Guo*(Equal Contribution), Yin Zheng*(Equal Contribution), Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019

  • 50 FPS Object-Level Saliency Detection via Maximally Stable Region

Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang

IEEE Transactions on Image Processing

  • RaFM: Rank-Aware Factorization Machines

Xiaoshuang Chen, Yin Zheng (Corresponding Author), Jiaxing Wang, Wenye Ma and Junzhou Huang

The Thirty-sixth International Conference on Machine Learning (ICML), 2019, Long Beach, USA.

  • A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding [pdf]

Xiaoshuang Chen, Yin Zheng (Corresponding Author), Peilin Zhao, Zhuxi Jiang, Wenye Ma and Junzhou Huang


  • Fast Single Image Reflection Suppression via Convex Optimization

Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019

  • Document Neural Autoregressive Distribution Estimation [pdf]

Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle

Journal of Machine Learning Research, Volume 18, number 113, page 1-24, 2017

  • Collaborative Filtering with User-Item Co-Autoregressive Models

Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018

  • 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.

  • A Neural Autoregressive Approach to Collaborative Filtering [pdf] [code] [slides]

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

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


  • 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