Variational Auto-encoder for Recommender Systems with Exploration-Exploitation. - Yizi Zhang; Hongxia Yang; Meimei Liu (CoRR, 2020)

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. - Yizi Zhang; Tianxiao He; Julien Boussard; Charles Windolf; Olivier Winter; Eric Trautmann; Noam Roth; Hailey Barrell; Mark Churchland; Nicholas A. Steinmetz; Erdem Varol; Cole L. Hurwitz; et al. (NeurIPS, 2023)

Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution. - Yizi Zhang; Yanchen Wang; Donato Jiménez-Benetó; Zixuan Wang; Mehdi Azabou; Blake A. Richards; Renee Tung; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (NeurIPS, 2024)

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. - Yizi Zhang; Yanchen Wang; Donato Jiménez-Benetó; Zixuan Wang; Mehdi Azabou; Blake A. Richards; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (CoRR, 2024)

TimeInf: Time Series Data Contribution via Influence Functions. - Yizi Zhang; Jingyan Shen; Xiaoxue Xiong; Yongchan Kwon (ICLR, 2025)

Neural Encoding and Decoding at Scale. - Yizi Zhang; Yanchen Wang; Mehdi Azabou; Alexandre Andre; Zixuan Wang; Hanrui Lyu; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (CoRR, 2025)

Self-supervised pretraining of vision transformers for animal behavioral analysis and neural encoding. - Yanchen Wang; Han Yu; Ari Blau; Yizi Zhang; International Brain Laboratory; Liam Paninski; Cole L. Hurwitz; Matthew R. Whiteway (CoRR, 2025)