2026 Yu Cheng: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	61	3018	2929	1479	1423	331	19602

Overview

Yu Cheng is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields.

The scientist has published a total of 55 papers, primarily in the following main and subfields of study:

Computer Science
Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Psychiatry and Mental Health
Economics and Econometrics

Their research covers a range of topics including:

Topic Modeling
Natural Language Processing Techniques
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Image and Signal Denoising Methods

Yu Cheng has frequently published in several venues, most notably:

arXiv (Cornell University)
IEEE Transactions on Image Processing
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Neural Networks and Learning Systems
Displays

Some representative recent papers authored or co-authored by Yu Cheng include:

EnlightenGAN: Deep Light Enhancement Without Paired Supervision, 2021, IEEE Transactions on Image Processing
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models, 2023, arXiv (Cornell University)
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning, 2020, arXiv (Cornell University)
Efficient Robust Training via Backward Smoothing, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling, 2020, IEEE Transactions on Neural Networks and Learning Systems

Yu Cheng has collaborated frequently with several co-authors, including:

Zhe Gan
Zhangyang Wang
Shuohang Wang
Tianlong Chen
Jingjing Liu

Best Publications

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Yifan Jiang;Xinyu Gong;Ding Liu;Yu Cheng

2269
Citations
UNITER: UNiversal Image-TExt Representation Learning

Yen-Chun Chen;Linjie Li;Licheng Yu;Ahmed El Kholy

1903
Citations
A Survey of Model Compression and Acceleration for Deep Neural Networks

Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

1158
Citations
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

723
Citations
Deep Model Based Domain Adaptation for Fault Diagnosis

Weining Lu;Bin Liang;Yu Cheng;Deshan Meng

717
Citations
Patient Knowledge Distillation for BERT Model Compression

Siqi Sun;Yu Cheng;Zhe Gan;Jingjing Liu

634
Citations
MMD GAN: Towards Deeper Understanding of Moment Matching Network

Chun-Liang Li;Wei-Cheng Chang;Yu Cheng;Yiming Yang

539
Citations
Risk Prediction with Electronic Health Records: A Deep Learning Approach.

Yu Cheng;Fei Wang;Ping Zhang;Jianying Hu

433
Citations
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Linjie Li;Yen-Chun Chen;Yu Cheng;Zhe Gan

423
Citations
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Yongxi Lu;Abhishek Kumar;Shuangfei Zhai;Yu Cheng

404
Citations
Relation-Aware Graph Attention Network for Visual Question Answering

Linjie Li;Zhe Gan;Yu Cheng;Jingjing Liu

391
Citations
UNITER: Learning UNiversal Image-TExt Representations

Yen-Chun Chen;Linjie Li;Licheng Yu;Ahmed El Kholy

368
Citations
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

Shuangjie Xu;Yu Cheng;Kang Gu;Yang Yang

362
Citations
Deep structured energy based models for anomaly detection

Shuangfei Zhai;Yu Cheng;Weining Lu;Zhongfei Zhang

349
Citations
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

Yu Cheng;Yu Cheng;Felix X. Yu;Rogerio S. Feris;Sanjiv Kumar

343
Citations
Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Zhe Gan;Yen-Chun Chen;Linjie Li;Chen Zhu

323
Citations
Towards Pose Invariant Face Recognition in the Wild

Jian Zhao;Yu Cheng;Yan Xu;Lin Xiong

272
Citations
Discourse-Aware Neural Extractive Text Summarization

Jiacheng Xu;Zhe Gan;Yu Cheng;Jingjing Liu

270
Citations
Diverse Few-Shot Text Classification with Multiple Metrics

Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

248
Citations
Occlusion-Aware Networks for 3D Human Pose Estimation in Video

Yu Cheng;Bo Yang;Bo Wang;Yan Wending

218
Citations
StoryGAN: A Sequential Conditional GAN for Story Visualization

Yitong Li;Zhe Gan;Yelong Shen;Jingjing Liu

214
Citations

Frequent Co-Authors

Zhe Gan Microsoft (United States)

Jingjing Liu MIT

Alok Choudhary Northwestern University

Ankit Agrawal Northwestern University

Rogerio Feris IBM (United States)

Pan Zhou Huazhong University of Science and Technology

Zhangyang Wang The University of Texas at Austin

Lawrence Carin Duke University

Jiashi Feng ByteDance

Wei-keng Liao Northwestern University

External Links

Personal website of Yu Cheng Google Scholar page

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