I am currently a postdoc at UC Berkeley working with Prof. Lexin Li. I recieved my PhD in 2025 from the Department of Information Engineering, The Chinese University of Hong Kong, where I am fortunate to be advised by, Shannon Award Laureate, Prof. Raymond Yeung. I received my Bachelor’s degree in Electrical Engineering with First Class Honors from The University of Sydney in 2020. During my undergraduate studies, I worked with Prof. Philip Leong on forward-pass neural network on-chip training.

I have been a reviewer for NeurIPS, CVPR, ECCV, ICCV, ICLR, ICML, Siggraph Asia, ACM MM, AISTATS and AAAI. My research focuses on foundation model, representation learning, brain computer interface and AI for healthcare. I am particularly interested in pushing the artifical intelligence in naturasitc signals beyond language.

You can find me at: jxqing at berkeley.edu

News

• I am selected as an Outstanding Reviwer for ECCV2024. The complete list can be found here.

• [July 16, 2024] The structured BATS code paper is accepted by IEEE Transactions on Communications (TCOM)

• [Sep 22, 2023] The Mind-Video paper was accepted by NeurIPS2023 for Oral Presentation!

• [Aug, 2023] MinD-Vis project was also covered by The Telegraph, Reuters and South China Morning Post

• [May, 2023] MinD-Vis project was featured by NBC News [Youtube,Website]

Publications (* indicates equation contributions)

Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators
Jiaxin Qing, Philip H.W. Leong, Kin Hong Lee and Raymond W. Yeung
under review, 2024

A scalable and high-performant BATS code accelerator based on FPGA with an optimized finite field multiplier.
[paper]

Dependence Analysis and Structured Construction for Batched Sparse Code
Jiaxin Qing, Xiaohong Cai, Yijun Fan, Mingyang Zhu and Raymond W. Yeung
IEEE Transactions on Communications (TCOM), 2024

First step towards hardware-friendly Batched Sparse Codes (BATS).
[paper]

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)

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

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 reinforcement learning.
[paper]