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)

• A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

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.

• 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

• 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