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Yichi Zhang

Master Student
MSEE 364
Purdue University
Elmore Family School of Electrical and Computer Engineering
465 Northwestern Avenue
West Lafayette, IN 47907, USA
YichiZhang@Purdue.edu


About Me

I am currently pursuing a Master's degree in Electrical and Computer Engineering at Purdue University, Video and Image Processing Laboratory (VIPER), supervised by Prof. Fengqing Maggie Zhu. I received a Bachelor's degree in Computer Science at Hangzhou Normal University, Intelligent Video Coding Laboratory (IVC), advised by Prof. Dandan Ding. My research interests include computer vision and image/video/point cloud compression. I am also interested in photography, and cycling.

News

Publications

  1. On Efficient Neural Network Architectures for Image Compression
    Yichi Zhang, Zhihao Duan and Fengqing Zhu
    2024 IEEE International Conference on Image Processing (ICIP), 2024.

  2. Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs
    Yichi Zhang, Zhihao Duan, Yuning Huang and Fengqing Zhu
    2024 IEEE International Conference on Multimedia and Expo (ICME), 2024.

  3. A Reconfigurable Framework for Neural Network-based Video In-loop Filtering
    Yichi Zhang, Dandan Ding*, Zhan Ma and Zhu Li
    ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024.

  4. Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
    Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding*, Fengqing Zhu, and Zhan Ma
    The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

  5. On Content-aware Post-processing: Adapting Statistically Learned Models to Dynamic Content
    Yichi Zhang, Gongchun Ding, Dandan Ding*, Zhan Ma and Zhu Li
    ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2023.

  6. A Cross-scale Framework for Low-light Image Enhancement Using Spatial-spectral Information
    Yichi Zhang, Hengyu Liu, and Dandan Ding*
    Computers and Electrical Engineering, 2023.

  7. Low Light RAW Image Enhancement Using Paired Fast Fourier Convolution and Transformer
    Yichi Zhang, Hengyu Liu, Dandan Ding*, and Zhan Ma
    IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022.

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