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Dr. Gehua Ma obtained his PhD in Artificial Intelligence at State Key Lab of Brain-Machine Intelligence, Zhejiang University.

Previously, he has worked on Credit Assignment, Associative Memory Model, Representation Learning solutions aimed at Computational Neuroscience and Agentic Intelligence.

Selected Honors

• Inaugural TENCENT-‘PROJECT UP’ Talent Initiative （腾讯-“青云计划”）
• CHINA MOBILE-‘PROJECT GOLDEN SEED’ Talent Initiative
• Award of Honor for Graduate of Zhejiang University
• Outstanding Graduate Student of CCNT, Zhejiang University
• Graduate of Merit/Triple A graduate, Zhejiang University

Selected Publications and Preprints

• [2024] [Dissertation] Research on A Spiking Generative Model of Spatiotemporal Memory Construction and Computation. Available at link

  Multi-modal, Associative Memory, Credit Assignment

• [2023] G. Ma, R. J., R. Y., et al. Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes.

  NeurIPS (Thirty-seventh Conference on Neural Information Processing Systems). Available at link.

  Memory-conditioning Computation, Credit Assignment

• [2022] G. Ma, R. Y., and H. T.. Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks.

  Cell Press, Patterns. Available at link.

  Credit Assignment, Gradient Estimator

• [2021] G. Ma, R. J., L. W., et al. Dual memory model for experience-once task-incremental lifelong learning.

  Elsevier, Neural Networks. Available at link.

  Continual Learning, Associative Memory

• [2020] G. Ma, H. W., J. Z., et al. Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation.

  AAAI (Thirty-Eighth AAAI Conference on Artificial Intelligence). Available at link.

  Representation Learning, Spatiotemporal Modeling

• [2020] Y. W., G. Ma (Co-first Author), G. G., et al. Bioimaging of Dissolvable Microneedle Arrays: Challenges and Opportunities.

  Science/AAAS, Research. Available at link.

Service

• Served for top-tier tracks and journals including NeurIPS, ICLR, IJCAI, ICASSP, Proc. of IEEE, IEEE TPAMI, IEEE TNNLS, Neural Networks, etc.

Experience

• ByteDance Inc., Hangzhou, PRC. 2024.7 –. Senior Algorithmic Engineer

• Liangzhu Laboratory, Hangzhou, PRC. 2022.7 – 2024.6. Research Intern（Cognitive Computational Neuroscience）

• Zhejiang Laboratory, Hangzhou, PRC. 2020.7 – 2021.6. Research Intern（Neuromorphic Algorithm）

• Brain-Machine Intelligence State Key Lab, Zhejiang University, Hangzhou, PRC. 2020.9 – 2024.6. PhD candidate

Exchange

• The Chinese University of Hong Kong, HK, PRC. 2016. Visiting Student

• Technische Universität München, München, Germany. 2014. Summer Campus

• New York University, NY, USA. 2012. Summer Campus

Patents

• [2021] H. T., Gehua Ma, and R. Y. Point of Interest Recommendation Method and System based on Brain-inspired Spatiotemporal Perceptual Representation. PCT (International): WO/2023/015658, CN202110930940.0 (granted).

• [2019] S. X., C. T., Gehua Ma, and B. Wang. A deep learning based vein visualization method and device. CN201911365761.6