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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 DeepMind). 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
News
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!
Publications:
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
16TH EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV), 2020
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
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, DOI 10.1109/TKDE.2019.2903403,
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.
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
Projects:
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
Activatities:
I am a volunteer of the project that translates Prof. Andrew Ng’s Deep Learning Tutorial into Chinese [link], 2013.
I am a volunteer of CVPR 2014.
I am a reviewer of TMM, TNNLS, SPL,ICLR'16~19,ICML'16~19,ECCV'16~18,NIPS'16~19,CVPR'17~19,ICCV'17~19,AISTATS'17~18
Awards:
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
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