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Qingyan Meng

qingyanmeng AT link.cuhk.edu.cn

Ph.D. student

The Chinese University of Hong Kong, Shenzhen

Biography

I am a first-year Ph.D. student in School of Science and Engineering at the Chinese University of Hong Kong, Shenzhen advised by Prof. Zhi-Quan Luo and Prof. Zhouchen Lin. Before joining CUHK(SZ), I completed my bachelor’s and master’s degree in 2016 and 2019 in South China University of Technology, respectively.

Interests

  • Machine Learning
  • Optimization

Education

  • PhD in Computer and Information Engineering, 2019-2023

    The Chinese University of Hong Kong, Shenzhen

  • MSc in Probability and Mathematical Statistics, 2016-2019

    South China University of Technology

  • BSc in Mathematics, 2012-2016

    South China University of Technology

Publications @ZERO Lab

Training Much Deeper Spiking Neural Networks with a Small Number of Time-Steps. Neural Networks, 2022.

Spiking Neural Network (SNN) is a promising energy-efficient neural architecture when implemented on neuromorphic hardware. The …
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Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR, 2022.

Spiking Neural Network (SNN) is a promising energy-efficient AI model when implemented on neuromorphic hardware. However, it is a …
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Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS, 2021.

Spiking neural networks (SNNs) are brain-inspired models that enable energy-efficient implementation on neuromorphic hardware. However, …
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Awards

National Encouragement scholarship

Chinese Ministry of Education Oct 2013

The First Prize of the 5th National College Student Mathematics Competition

Chinese Mathematical Society Oct 2013

National Scholarship

Chinese Ministry of Education Oct 2013

National Encouragement scholarship

Chinese Ministry of Education Oct 2012