Xiaoyong Ni

PhD student, Campus Biotech Geneva, EPFL - EPF Lausanne

Joined

May 2024

Names

Xiaoyong Ni (Preferred)

Emails

****@gmail.com (Confirmed)

****@epfl.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

PhD student

Campus Biotech Geneva, EPFL - EPF Lausanne (epfl.ch)

2024 – Present

MS student

D-ITET, ETHZ - ETH Zurich (ethz.ch)

2020 – 2024

Undergrad student

Glasgow college, University of Electronic Science and Technology of China (uestc.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Mahsa Shoaran

2024 – Present

Expertise

Neural signal processing

Present

adaptive movement decode from brain

Present

Publications

BrainDistill: Implantable ECoG-based Motor Decoding with Task-Specific Knowledge Distillation
Yuhan Xie, Jinhan Liu, Xiaoyong Ni, Fei Tan, Icare Sakr, Thibault Collin, Shiqi Sun, Alejandro Rodriguez Guajardo, Demon Fanny, Charles-francois vincent latchoumane, Henri Lorach, Gregoire Courtine, Mahsa Shoaran
- SD4H ICML 2026
- Readers: Everyone
BrainDistill: Implantable Motor Decoding with Task-Specific Knowledge Distillation
Yuhan Xie, Jinhan Liu, Xiaoyong Ni, Fei Tan, Icare Sakr, Thibault Collin, Shiqi Sun, Alejandro Rodriguez Guajardo, Demon Fanny, Charles-francois vincent latchoumane, Gregoire Courtine, Mahsa Shoaran
- Submitted to ICLR 2026
- Readers: Everyone
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
Luis Hernan Cubillos, Guy Revach, Matthew Mender, Joseph T Costello, Hisham Temmar, Aren Hite, Diksha Anoop Kumar Zutshi, Dylan Michael Wallace, Xiaoyong Ni, Madison M. Kelberman, Matt Willsey, Ruud Van Sloun, Nir Shlezinger, Parag Ganapati Patil, Anne Draelos, Cynthia Chestek
- NeurIPS 2024 poster
- Readers: Everyone
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation
Xiaoyong Ni, Guy Revach, Nir Shlezinger
- ICASSP 2024
- Readers: Everyone
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
Luis Cubillos, Guy Revach, Matthew Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Anoop Kumar Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matt S. Willsey, Ruud van Sloun, Nir Shlezinger, Parag G. Patil, Anne Draelos, Cynthia A. Chestek
- NeurIPS 2024
- Readers: Everyone
RTSNet: Learning to Smooth in Partially Known State-Space Models
Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
- IEEE Trans. Signal Process. 2023
- Readers: Everyone
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
- 2022 (modified: 10 Nov 2022)
- IEEE Trans. Signal Process. 2022
- Readers: Everyone
Unsupervised Learned Kalman Filtering
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
- 2022 (modified: 10 Nov 2022)
- EUSIPCO 2022
- Readers: Everyone
RTSNet: Deep Learning Aided Kalman Smoothing
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
- 2022 (modified: 10 Nov 2022)
- ICASSP 2022
- Readers: Everyone
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
- 2021 (modified: 10 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 12 publications

Co-Authors

View all 40 co-authors