Следене
Yu Cheng
Yu Cheng
Principal Researcher, Microsoft Research Redmond
Потвърден имейл адрес: microsoft.com - Начална страница
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Позовавания
Година
UNITER: UNiversal Image-TExt Representation Learning
YC Chen, L Li, L Yu, A El Kholy, F Ahmed, Z Gan, Y Cheng, J Liu
ECCV 2020, 2020
859*2020
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
8142017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
CL Li, WC Chang, Y Cheng, Y Yang, B Póczos
NeurIPS 2017, 2017
5842017
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) 30, 2340-2349, 2021
4682021
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
4352016
Patient Knowledge Distillation for BERT Model Compression
S Sun, Y Cheng, Z Gan, J Liu
EMNLP 2019, 2019
4002019
Deep Structured Energy Based Models for Anomaly Detection
S Zhai, Y Cheng, W Lu, Z Zhang
ICML 2016, 2016
3652016
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
3422018
Risk Prediction with Electronic Health Records: A Deep Learning Approach
Y Cheng, F Wang, P Zhang, J Hu
SDM 2016, 2016
3402016
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
CVPR 2017, 2017
3322017
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang
ICCV 2015, 2015
3132015
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification
S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou
ICCV 2017, 2017
2842017
Freelb: Enhanced Adversarial Training for Language Understanding
C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu
ICLR 2020, 2020
228*2020
Relation-Aware Graph Attention Network for Visual Question Answering
L Li, Z Gan, Y Cheng, J Liu
ICCV 2019, 2019
2132019
Disguised Faces in The Wild
V Kushwaha, M Singh, R Singh, Y Cheng, N Ratha, R Chellappa
CVPR 2018, 2018
209*2018
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu
NeurIPS 2020, 2020
1932020
Image Super-Resolution via Dual-State Recurrent Networks
W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang
CVPR 2018, 2018
1852018
Towards Pose Invariant Face Recognition in the Wild
J Zhao, Y Cheng, Y Xu, L Xiong, J Li, F Zhao, K Jayashree, S Pranata, ...
CVPR 2018, 2018
1812018
Diverse Few-Shot Text Classification with Multiple Metrics
M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ...
NAACL 2018, 2018
1692018
HERO: Hierarchical Encoder for Video+ Language Omni-representation Pre-training
L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu
EMNLP 2020, 2020
1682020
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