World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
25736
World Ranking
966
National Ranking
142

Overview

Nenghai Yu is affiliated with the University of Science and Technology of China. Their main field of study is Computer Science, with a substantial focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems, and Atomic and Molecular Physics, and Optics.

Their research work covers a range of topics, notably:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Adversarial Robustness in Machine Learning
  • Face Recognition and Analysis
  • Chaos-based Image/Signal Encryption
  • Advanced Neural Network Applications

Nenghai Yu has contributed to numerous publications, including papers presented at prominent venues such as the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Forensics and Security, and IEEE Transactions on Geoscience and Remote Sensing. Some notable papers authored include:

  • CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Protecting Celebrities from DeepFake with Identity Consistency Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Model Intellectual Property Protection via Deep Watermarking, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • F2Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection, 2023, IEEE Transactions on Information Forensics and Security
  • MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection, 2024, IEEE Transactions on Geoscience and Remote Sensing

Their frequent coauthors include Weiming Zhang, Qi Chu, Dongdong Chen, Kejiang Chen, and Bin Liu.

Nenghai Yu has published extensively in several venues, indicating consistent contributions to the field. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Circuits and Systems for Video Technology

Their work demonstrates an interdisciplinary approach, bridging core computer science disciplines with applied research in digital media security, face analysis, and advanced neural network architectures.

Best Publications

  • Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption

    Kede Ma;Weiming Zhang;Xianfeng Zhao;Nenghai Yu

  • Dual learning for machine translation

    Di He;Yingce Xia;Tao Qin;Liwei Wang

  • Multi-attentional Deepfake Detection

    Hanqing Zhao;Tianyi Wei;Wenbo Zhou;Weiming Zhang

  • StyleBank: An Explicit Representation for Neural Image Style Transfer

    Dongdong Chen;Lu Yuan;Jing Liao;Nenghai Yu

  • Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

    Honggu Liu;Xiaodan Li;Wenbo Zhou;Yuefeng Chen

  • Reversibility improved data hiding in encrypted images

    Weiming Zhang;Kede Ma;Nenghai Yu

  • Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification

    Feng Zhu;Hongsheng Li;Wanli Ouyang;Nenghai Yu

  • Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism

    Qi Chu;Wanli Ouyang;Hongsheng Li;Xiaogang Wang

  • Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer

    Yan Lu;Yue Wu;Bin Liu;Tianzhu Zhang

  • Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data

    Jie Xu;Kaiping Xue;Shaohua Li;Hangyu Tian

  • A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability

    Zhuo Hao;Sheng Zhong;Nenghai Yu

  • Dual Learning for Machine Translation

    Yingce Xia;Di He;Tao Qin;Liwei Wang

  • Non-negative low rank and sparse graph for semi-supervised learning

    Liansheng Zhuang;Haoyuan Gao;Zhouchen Lin;Yi Ma

  • Coherent Online Video Style Transfer

    Dongdong Chen;Jing Liao;Lu Yuan;Nenghai Yu

  • Recursive Histogram Modification: Establishing Equivalency Between Reversible Data Hiding and Lossless Data Compression

    Weiming Zhang;Xiaocheng Hu;Xiaolong Li;Nenghai Yu

  • Learning to tag

    Lei Wu;Linjun Yang;Nenghai Yu;Xian-Sheng Hua

  • Semantics-Preserving Bag-of-Words Models and Applications

    Lei Wu;Steven C H Hoi;Nenghai Yu

  • Passive detection of doctored JPEG image via block artifact grid extraction

    Weihai Li;Yuan Yuan;Nenghai Yu

  • Flickr distance

    Lei Wu;Xian-Sheng Hua;Nenghai Yu;Wei-Ying Ma

  • Semantics Disentangling for Text-To-Image Generation

    Guojun Yin;Bin Liu;Lu Sheng;Nenghai Yu

  • Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

    Yingce Xia;Fei Tian;Lijun Wu;Jianxin Lin

  • Asynchronous Stochastic Gradient Descent with delay compensation

    Shuxin Zheng;Qi Meng;Taifeng Wang;Wei Chen

Frequent Co-Authors

Mingjing Li
Mingjing Li Microsoft (United States)
Weiming Zhang
Weiming Zhang University of Science and Technology of China
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Zhiwei Li
Zhiwei Li Microsoft (United States)
Tao Qin
Tao Qin Microsoft (United States)
Houqiang Li
Houqiang Li University of Science and Technology of China
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Lu Yuan
Lu Yuan Microsoft (United States)
Jianke Zhu
Jianke Zhu Zhejiang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Aspiring computer science students in the USA often explore online learning to fit their busy lives or jumpstart their careers more quickly. One rapidly growing trend is the accelerated computer science degree online, which allows motivated learners to earn their diploma in a shorter time frame without sacrificing curriculum quality.

Computer science education also intersects with other disciplines. For example, those interested in sustainability may consider pursuing an environmental engineering degree online. Meanwhile, prospective engineers often research mechanical engineering degree online cost to find affordable, accredited options.

In addition, a online physics bachelor's degree can provide foundational skills for tech careers or further academic study. Weighing flexibility, costs, and career opportunities are essential when choosing the right online degree pathway to match your interests and goals.

Best Scientists Citing Nenghai Yu

Trending Scientists