Xuerui Qiu | CASIA

About Me

Hi! This is Xuerui Qiu. I’m currently a first-year Ph.D student at the Institue of Automation, Chinese Academy of Sciences with Prof. Guoqi Li as my supervisor. I obtained my Bachelor’s Degree from the University of Electronic Science and Technology of China in 2024, with Prof. Liang-Jian Deng and Prof. Malu Zhang as my supervisor.

Experiences

July. 2024 - Now, Ph.D. student, Institue of Automation, Chinese Academy of Sciences
Sept. 2020 - July. 2024, Undergradute, University of Electronic Science and Technology of China

Research Interests

AI4S: Neuromorphic computing, Biological explainability.
Computer Vision: Image recognition, Image generation, Self-supervised Learning, Vision-Language Model.
Model compression: Large Language Model Quantization and Sparsity.

News

[Jan. 2025] One paper about model quantization is accepted by ICLR 2025.
[Jan. 2025] One paper about self-supervised learning is accepted by IEEE T-PAMI.
[Dec. 2024] Two papers about 3D computer vision and image recognition are accepted by AAAI 2025.
[May. 2024] One paper about robustness is accepted by ACM-MM 2024.
[May. 2024] One paper about efficient architecture design is accepted by ICML 2024 (Spotlight).
[Dec. 2023] One paper about neuromorphic computing is accepted by AAAI 2024.

Publications

ICLR

Quantized Spike-driven Transformer

Xuerui Qiu, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Malu Zhang, Haizhou Li

The International Conference on Learning Representations (ICLR), 2025.

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TPAMI

Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training

Man Yao*, Xuerui Qiu*, Tianxiang Hu, Jiakui Hu, Yuhong Chou, Keyu Tian, Jianxing Liao, Luziwei Leng, Bo Xu, Guoqi Li (*equal contribution)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

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AAAI

Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li

Association for the Advancement of Artificial Intelligence (AAAI), 2025.

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ICML

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost

JiaKui Hu*, Man Yao*, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li (*equal contribution)

International Conference on Machine Learning (ICML), 2024.

PDF Code BibTex Spotlight

ACM-MM

Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding

Keming Wu, Man Yao, Yuhong Chou, Xuerui Qiu, Rui Yang, Bo Xu, Guoqi Li

ACM International Conference on Multimedia (ACM-MM), 2024.

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AAAI

Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks

Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-jian Deng, Guoqi Li

Association for the Advancement of Artificial Intelligence (AAAI), 2024.

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Services

Conference Reviewers

Journal Reviewers

Honors & Awards

China National Scholarship, 2022
Excellent graduates of Sichuan Province, 2024
Excellent graduates of University of Electronic Science and Technology of China, 2024