Hi,

Marcus (Gehua) Ma is currently pursuing a Doctorate at the CCNT Lab, College of Computer Science and Technology, Zhejiang University (expected to graduate at 30-June-2024).

His recent research primarily focuses on Recommender Systems, Probabilistic Graphical Models, Time Series, and Spatiotemporal Modeling. Previously, he has devised solutions aimed at Cognitive Computational Neuroscience, NeuroAI, and XAI.

Selected Publications and Preprints

• [2023] Gehua Ma, R. Jiang, R. Yan, 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.

• [2022] Gehua Ma, R. Yan, and H. Tang. Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks.

  Cell Press, Patterns. Available at link.

• [2021] Gehua Ma, R. Jiang, L. Wang, et al. Dual memory model for experience-once task-incremental lifelong learning.

  Elsevier, Neural Networks. Available at link.

• [2020] Gehua Ma, H. Wang, J. Zhao, et al. Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation.

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

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

  Science/AAAS, Research. Available at link.

Patents

• [2021] H. T., Gehua Ma, and R. Yan. 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

Selected Honors and Awards

• Selected for Tencent-‘Qingyun Program’ Talent Initiative
• Selected for China Mobile-‘Golden Seed Program’ 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

Employment and Internship

• ByteDance Inc., Hangzhou, PRC. 2024 –. Senior Algorithmic Engineer

• Liangzhu Laboratory, Hangzhou, PRC. 2022.7 – 2024. Research Intern（Cognitive Computational Neuroscience）

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

Exchange Experience

• 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