Yu Cheng
Yu Cheng
Principal Researcher at Microsoft
Verified email at microsoft.com - Homepage
Cited by
Cited by
A Survey of Model Compression and Acceleration for Deep Neural Networks
Y Cheng, D Wang, P Zhou, T Zhang
arXiv preprint arXiv:1710.09282, 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
CL Li, WC Chang, Y Cheng, Y Yang, B Póczos
Advances in Neural Information Processing Systems (NIPS), 2203-2213, 2017
Deep Model Based Domain Adaptation for Fault Diagnosis
W Lu, B Liang, Y Cheng, D Meng, J Yang, T Zhang
IEEE Transactions on Industrial Electronics (TIE) 64 (3), 2296-2305, 2016
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang
IEEE International Conference on Computer Vision (ICCV), 2857-2865, 2015
Risk Prediction with Electronic Health Records: A Deep Learning Approach
Y Cheng, F Wang, P Zhang, J Hu
SIAM International Conference on Data Mining (SDM), 432-440, 2016
Deep Structured Energy Based Models for Anomaly Detection
S Zhai, Y Cheng, W Lu, Z Zhang
International Conference on Machine Learning (ICML), 2016
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y Lu, A Kumar, S Zhai, Y Cheng, T Javidi, R Feris
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5334-5343, 2017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification
S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou
IEEE International Conference on Computer Vision (ICCV), 4733-4742, 2017
UNITER: UNiversal Image-TExt Representation Learning
YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu
European Conference on Computer Vision (ECCV), 2020
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
Y Cheng, D Wang, P Zhou, T Zhang
IEEE Signal Processing Magazine (SPM) 35 (1), 126-136, 2018
Patient Knowledge Distillation for BERT Model Compression
S Sun, Y Cheng, Z Gan, J Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Disguised Faces in The Wild
V Kushwaha, M Singh, R Singh, Y Cheng, N Ratha, R Chellappa
CVPR 2018 Workshop, 1-9, 2018
Image Super-Resolution via Dual-State Recurrent Networks
W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1654-1663, 2018
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
J Wang, Y Cheng, R Schmidt Feris
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2295-2304, 2016
Towards Pose Invariant Face Recognition in the Wild
J Zhao, Y Cheng, Y Xu, L Xiong, J Li, F Zhao, K Jayashree, S Pranata, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2207-2216, 2018
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ...
IEEE Transactions on Image Processing (TIP), 2019
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks
G Goswami, N Ratha, Y Cheng, R Singh, M Vatsa
AAAI Conference on Artificial Intelligence (AAAI), 2018
Detection and Tracking of Moving Objects
A Hampapur, Y Cheng, S Pankanti, CA Otto
US Patent 9,147,260, 2015
Diverse Few-Shot Text Classification with Multiple Metrics
M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ...
North American Chapter of the Association for Computational Linguistics (NAACL), 2018
Robust Discrete Code Modeling for Supervised Hashing
Y Luo, Y Yang, F Shen, Y Cheng, P Zhou, HT Shen
Pattern Recognition 75, 128-135, 2018
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