World's Best Scientists 2026 revealed!
Qionghai Dai

Qionghai Dai

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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
96
Citations
31520
World Ranking
447
National Ranking
58

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Qionghai Dai is affiliated with Tsinghua University in China and has contributed extensively to fields spanning computer science, engineering, and biochemistry, genetics, and molecular biology. Their scholarly efforts encompass specialized domains such as computer vision and pattern recognition, biophysics, biomedical engineering, artificial intelligence, and electrical and electronic engineering.

Their research topics cover a range of advanced techniques and applications in imaging and computational methods, including:

  • Advanced Fluorescence Microscopy Techniques
  • Cell Image Analysis Techniques
  • Optical Coherence Tomography Applications
  • Photoacoustic and Ultrasonic Imaging
  • Neural Networks and Reservoir Computing
  • Advanced Vision and Imaging
  • Photonic and Optical Devices

Dai has published a variety of influential papers, such as:

  • Evaluation and development of deep neural networks for image super-resolution in optical microscopy, 2021, Nature Methods
  • PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale, 2021, Cell
  • In situ optical backpropagation training of diffractive optical neural networks, 2020, Photonics Research
  • All-analog photoelectronic chip for high-speed vision tasks, 2023, Nature

The scientist frequently collaborates with several coauthors, including Jiamin Wu, Jinli Suo, Lu Fang, Hui Qiao, and Yuanlong Zhang, reflecting established partnerships over numerous joint publications.

Dai's work appears across multiple publication venues, with a strong presence in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Nature Communications
  • Nature Methods

In addition to articles, Dai has released books with prominent publishers. These include "Hypergraph Computation" published by Springer International Publishing in 2023 and "Brain Informatics" published by Springer Science+Business Media in 2021.

Best Publications

  • Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

    Tiankuang Zhou;Xing Lin;Jiamin Wu;Yitong Chen

  • Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

    Yue Deng;Feng Bao;Youyong Kong;Zhiquan Ren

  • 3-D Object Retrieval and Recognition With Hypergraph Analysis

    Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji

  • Light Field Image Processing: An Overview

    Gaochang Wu;Belen Masia;Adrian Jarabo;Yuchen Zhang

  • Covariance discriminative learning: A natural and efficient approach to image set classification

    Ruiping Wang;Huimin Guo;Larry S. Davis;Qionghai Dai

  • Rank Minimization for Snapshot Compressive Imaging

    Yang Liu;Xin Yuan;Jinli Suo;David J. Brady

  • Evaluation and development of deep neural networks for image super-resolution in optical microscopy

    Chang Qiao;Di Li;Yuting Guo;Chong Liu

  • Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors

    Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification

    Yue Deng;Zhiquan Ren;Youyong Kong;Feng Bao

  • WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu Hong You

  • STAT: Spatial-Temporal Attention Mechanism for Video Captioning

    Chenggang Yan;Yunbin Tu;Xingzheng Wang;Yongbing Zhang

  • Fourier-space Diffractive Deep Neural Network.

    Tao Yan;Jiamin Wu;Tiankuang Zhou;Hao Xie

  • DeepHuman: 3D Human Reconstruction From a Single Image

    Zerong Zheng;Tao Yu;Yixuan Wei;Qionghai Dai

  • A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

    Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • Spatial-spectral encoded compressive hyperspectral imaging

    Xing Lin;Yebin Liu;Jiamin Wu;Qionghai Dai

  • Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors

    Tao Yu;Zerong Zheng;Kaiwen Guo;Pengpeng Liu

  • DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

    Tao Yu;Zerong Zheng;Kaiwen Guo;Jianhui Zhao

  • PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction.

    Zerong Zheng;Tao Yu;Yebin Liu;Qionghai Dai

  • Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

    Xun Cao;Tao Yue;Xing Lin;Stephen Lin

  • A novel approach to fuzzy rough sets based on a fuzzy covering

    Tingquan Deng;Yanmei Chen;Wenli Xu;Qionghai Dai

  • Supervised Hash Coding With Deep Neural Network for Environment Perception of Intelligent Vehicles

    Chenggang Yan;Hongtao Xie;Dongbao Yang;Jian Yin

  • Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity

    Xing Chen;Chenggang Clarence Yan;Cai Luo;Wen Ji

  • Camera Constraint-Free View-Based 3-D Object Retrieval

    Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan

Frequent Co-Authors

Jinli Suo
Jinli Suo Tsinghua University
Yebin Liu
Yebin Liu Tsinghua University
Xiangyang Ji
Xiangyang Ji Tsinghua University
Yue Gao
Yue Gao Tsinghua University
Yongdong Zhang
Yongdong Zhang University of Science and Technology of China
Jingyu Yang
Jingyu Yang Tianjin University
Rongrong Ji
Rongrong Ji Xiamen University
Gordon Wetzstein
Gordon Wetzstein Stanford University
Weisi Lin
Weisi Lin Nanyang Technological University
Yao Wang
Yao Wang New York University

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