Dr. Wei Hu

Time：2024-11-06Views：10


Dr. Wei Hu


Associate Professor, Master Supervisor

member of Information Science and Technology

Email: huwei@mail.buct.edu.cn


Background                                                                  

Wei Hu, Associate Professor, Master Supervisor, Teacher of Department of Computer Science and Technology, Beijing University of Chemical Technology (BUCT), graduated from Tsinghua University in 2006 with a Ph.D. degree in Computer Science and Technology, and joined BUCT in 2008. Presided over more than 10 research projects and published more than 50 academic papers, including several conference papers in top journals, which have been cited more than 2500 times.

Areas of Research of Expertise

  • Artificial intelligence and media computing, specifically related to image analysis, face recognition, deep learning training strategies, intelligent music analysis and real-time 3D graphic drawing methods and other research issues.

Teaching                                             

  • Principles of Compilation,

  • Digital Media Technology, and so on.

Research                                                

Funded Research Projects

  • Research on Real-time Drawing Technology of Mirror Correlation Effect Based on Image Space (National Natural Science Youth Foundation of China)

  • Research on Rapid Visualization and Diagnostic Analysis Technology of Massive Data of Earth System Model (Sub-theme of National 863 Key Project)

  • Theory and Methods of Telemetry Early Warning System for Hazardous Chemical Accidents (Sub-theme of National 973 Program)

  • Intelligent Analysis System of Love Play Music (Self-research Project)

  • Automatic Splicing System for Dome Curtain (Self-research Project)

Five Representative Publications                                           

  1. Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, and Jun Liu. “MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer”, International Conference on Learning Representation( ICLR’ 23), 2023.

  2. Wei Hu, Fangnian Wang, Qiang Yin, and Fan Zhang. “SGT: A Generalized Processing Model for 1-D Remote Sensing Signal Classification”, IEEE Geoscience and Remote Sensing Letters, 19, 1-5, 2022.

  3. Qihao Zhao, Wei Hu, Yangyu Huang, Fan Zhang. P-DIFF+: Improving Learning Classifier with Noisy Negative Learning Loss, Neural Networks, 144, 1-10, 2021.

  4. Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li, Hengchao Li.  SeqFace: Learning discriminative features by using face sequences, IET Image Processing, 2021.

  5. Wei Hu, Yangyu Huang, Fan Zhang, and Ruirui Li. Noise-Tolerant Paradigm for Training Face Recognition CNNs, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'19), Long Beach, CA, 2019. (CCF A)

  6. Wei Hu, Yangyu Huang, Wei Li, Fan Zhang, and Hengchao Li. Deep Convolutional Neural Networks for Hyperspectral Image Classification, Journal of Sensors, article ID. 258619, vol. 2015, 15 pages, 2015.

  7. Wei Hu, Yangyu Huang, Fan Zhang, Guodong Yuan, and Wei Li. “Ray Tracing via GPU Rasterization”, The Visual Computer, 30, 697-706, 2014.

  8. Wei Hu, Zhao Dong, Ivo Ihrke, Thoster Grosch, Guodong Yuan and Hans-Peter Seidel, Interactive Volume Caustics in Single-Scattering Media, Proceedings of ACM SI3D, pp.109-117, 2010 (Result image is selected for Back Cover of the conference proceedings and Informatik Spektrum, 33(3), 2010.(CCF B)

  9. Wei Hu, Kaihuai Qin. Interactive Approximate Rendering of Reflections, Refractions, and Caustics. IEEE Transactions on Visualization and Computer Graphics, 13(1), 26-57, 2006.(CCF A)