I earned my Bachelor’s degree in Intelligent Science and Technology in 2019 from the School of Artificial Intelligence (formerly the School of Electronic Engineering) at Xidian University. I subsequently pursued a Master’s degree in Biomedical Engineering at the School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC). During the second year of my Master’s studies, I transitioned to the Ph.D. track under the supervision of Professor Daqing Guo. I am currently a member of the Brain-Machine Interaction Lab, which is affiliated with the Key Laboratory of Neuroinformatics of the Ministry of Education, the Sichuan Brain Science and Brain-Inspired Intelligence Research Institute, and the Clinical Hospital of the Chengdu Brain Science Research Institute. Our group focuses on cutting-edge research in brain science and brain-inspired intelligence, including brain data analysis and large-scale whole-brain simulation, and has made significant contributions in these areas. My research primarily explores the application of brain-inspired intelligence in computer vision, affective computing, and time-series signal analysis, with particular emphasis on neuromorphic computing, spiking neural networks, and multimodal fusion. To date, I have published 10+ academic papers (including 5 as the first author) and have filed 2 patent applications.

My research area ： Spiking neural networks; Brain-inspired intellgence; Computer vision; Intelligent application.

🎓 Education

• 2021.08 - -, University of Electronic Science And Technology of China, School of Life Science and Technology, Chengdu, Ph.D student
• 2019.08 - 2021.07, University of Electronic Science And Technology of China, School of Life Science and Technology, Chengdu, Master
• 2015.08 - 2019.07, Xidian University, School of Artificial Intelligence, Xi’an, Bachelor

📝 Publications

Arxiv 2025

Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation

Hongze Sun, Wuque Cai, Duo Chen, Quan Tang, Shifeng Mao, Jiayi He, Zhenxing Wang, Yan Cui, Dezhong Yao, Daqing Guo

Paper Code

MICCAI 2025

Regression-assisted Classification for CT-based PHT Diagnosis

Wuque Cai, Jiayi He, Xu Guo, Hongze Sun, Huan Tong, Bo Wei, Hao Wu, Dezhong Yao, Daqing Guo.

Paper Code

Arxiv 2025

A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders

Qianqian Liao, Wuque Cai, Hongze Sun, Dongze Liu, Duo Chen, Dezhong Yao, Daqing Guo.

Paper Code

IEEE TMM 2025

Manifold Embedding for Fast and Accurate 3D Reconstruction

Duo Chen, Zixin Tang, Ke Song, Xingyu Peng, Wuque Cai, Hongze Sun, Dezhong Yao, Daqing Guo.

Paper Code

IEEE TNNLS 2025

Robust Spatiotemporal Prototype Learning for Spiking Neural Networks

Wuque Cai, Hongze Sun, Qianqian Liao, Jiayi He, Duo Chen, Dezhong Yao, Daqing Guo.

Paper Code

Neural Networks 2025

ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation

Hongze Sun, Jun Wang, Wuque Cai, Duo Chen, Qianqian Liao, Jiayi He, Yan Cui, Dezhong Yao, Daqing Guo.

Paper Code

Cognitive Neurodynamics 2025

BISNN: Bio-Information-Fused Spiking Neural Networks for Enhanced EEG-based Emotion Recognition

Hongze Sun, Shifeng Mao, Wuque Cai, Yan Cui, Duo Chen, Dezhong Yao, Daqing Guo.

Paper Code

Brain-Apparatus Communication: A Journal of Bacomics 2025

TR-SNN: a lightweight spiking neural network based on tensor ring decomposition

Shifeng Mao, Baoxin Yang, Hongze Sun, Wuque Cai, Daqing Guo.

Paper Code

Neural Networks 2024

Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion

Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo.

Paper Code

IEEE TNNLS 2023

A Spatial–Channel–Temporal-Fused Attention for Spiking Neural Networks.

Wuque Cai, Hongze Sun, Rui Liu, Yan Cui, Jun Wang, Yang Xia, Dezhong Yao, Daqing Guo.

Paper Code

IEEE TCDS 2023

A synapse-threshold synergistic learning approach for spiking neural networks

Hongze Sun, Wuque Cai, Baoxin Yang, Yan Cui, Yang Xia, Dezhong Yao, Daqing Guo.

Paper Code

💬 Invited Talks and Posters

• 2024.01, Symposium on Neural Computation and Beyond (SYNCB 2024), Chengdu, Topic：Brain-Inspired Multimodal Hybrid Model for Reliable Object Tracking.
• 2024.01, 第三届神经计算青年论坛, 四川･成都, 题目：基于脑启发的多模异构目标跟踪模型研究.
• 2024.08, Human brain and artificial intelligence (IJCAI2024 Workshop), JEJU-Korea, Poster：Bio-Information-Fused Spiking Neural Networks for Enhanced EEG-based Emotion Recognition.
• 2024.12, 脑启社区首届类脑智能创新大赛-技术组创新奖(第一名), 浙江･杭州, 题目：基于空间-通道-时间融合注意力的脉冲神经网络项目.
• 2025.01, Symposium on Neural Computation and Beyond (SYNCB 2025), Shanghai, Poster.
• 2025.09, The Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), DAEJEON-Korea, Poster.
• 2025.10, International Conference on Machine Intelligence and Nature-Inspired Computing (MIND 2025), Xiamen, Poster.