Hanrui Lyu PhD student, Northwestern University, Northwestern University. Joined ; May 2024

Sep 14, 2024 · Traditional neural decoders model the relationship between neural activity and behavior within individual trials of a single experimental session, neglecting correlations across trials and sessions.

Nov 5, 2024 · In this work, we develop a multimodal contrastive learning approach for neural data that can be fine-tuned for different downstream tasks, including inference of cell-type and brain location. We utilize this approach to jointly embed the activity autocorrelations and extracellular waveforms of individual neurons.

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Jiaqi Ruan, Qihan Wang, Sicheng Chen, Hanrui Lyu, Gaoqi Liang, Junhua Zhao, Zhao Yang Dong: On Vulnerability of Renewable Energy Forecasting: Adversarial Learning Attacks. IEEE Trans. Ind. Informatics 20 (3): 3650-3663 (2024)

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Hanrui Lyu received the B.S. degree in statistics from The Chinese University of Hong Kong, Shenzhen, China, in 2022. She is currently working toward the M.A. degree with the Department of Statistics, Columbia University, New York, NY, USA.