About me

I am currently a PhD Candidate in the Department of Information Engineering at The Chinese University of Hong Kong, where I am advised by Prof. Raymond Yeung. I received my Bachelor’s degree in Electrical Engineering with First Class Honor from The University of Sydney in 2020. During my undergraduate studies, I worked with Prof. Philip Leong.

My research interests are in the area of artificial intelligence, information theory, and high performance computing.

Publications (* indicates equation contributions)

Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen*, Jiaxin Qing*, Juan Helen Zhou
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 (Oral)

flow chart

We decoded photo-realistic video stimuli from fMRI brain signals.
[paper, website, code]


Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen*, Jiaxin Qing*, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

flow chart

We decoded photo-realistic visual stimuli from fMRI brain signals.
[paper, website, code]


Performance Analysis and Optimal Design of BATS Code: A Hardware Perspective
Jiaxin Qing, Philip HW Leong, and Raymond W. Yeung
IEEE Transactions on Vehicular Technology (TVT), 2023

Design space analysis of BATS code for FPGA implementation.
[paper]


Packet size optimization for batched network coding
Hoover HF Yin, Harry WH Wong, Mehrdad Tahernia, Jiaxin Qing
IEEE International Symposium on Information Theory (ISIT), 2022

Optimizing the packet size for batched network coding.
[paper]


Enhancing the decoding rates of BATS codes by learning with guided information
Jiaxin Qing, Hoover HF Yin, and Raymond W. Yeung
IEEE International Symposium on Information Theory (ISIT), 2022

Explored the graphical structure of Batched Sparse Codes (BATS) with reinforment learning.
[paper]

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