Scholar
Mingqing Xiao
Google Scholar ID: Hvj-WrwAAAAJ
Peking University
Machine Learning
Brain-inspired Algorithms
Spiking Neural Networks
Computer Vision
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,148
H-index
14
i10-index
16
Publications
20
Co-authors
12
list available
Contact
Email
mingqing_xiao@pku.edu.cn
GitHub
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Publications
4 items
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
2026
Cited
0
Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model
2026
Cited
0
Language Ranker: A Lightweight Ranking framework for LLM Decoding
2025
Cited
0
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
2025
Cited
0
Resume (English only)
Academic Achievements
Published 'PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks' at NeurIPS 2025
Published 'Language System: A Lightweight Ranking Framework for Language Models' at NeurIPS 2025
Published 'Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning' at ICML 2024
Published 'Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks' at ICLR 2024
Published 'Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks' at ICCV 2023
Published 'Online Training Through Time for Spiking Neural Networks' at NeurIPS 2022 (Spotlight)
Published 'Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation' at CVPR 2022
Published 'Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State' at NeurIPS 2021 (Spotlight, Top 3%)
Published 'Invertible Image Rescaling' at ECCV 2020 (Oral, Top 2%)
Published 'TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification under Partial Occlusion' at ECCVW 2020
Published 'Deep learning-enabled ultra-broadband terahertz high-dimensional photodetector' in Nature Communications 2025
Published 'Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach' in IEEE TPAMI 2024
Co-authors
12 total
Zhouchen Lin
Professor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research
Qingyan Meng
Ph.D. student, The Chinese University of Hong Kong, Shenzhen
Di He
Peking University
Yisen Wang
Assistant Professor, Peking University
Shuxin Zheng
Deputy Director, Zhongguancun Institute of Artificial Intelligence
Chang Liu
Microsoft Research AI for Science
Tie-Yan Liu
President, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA Fellow
Adam Kortylewski
Research Group Leader, University of Freiburg and Max Planck Institute for Informatics
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