Publications

Bold = me; * = corresponding author. Full list on Google Scholar.

• Under review, IEEE TBME — Real-time Stimulation Artifact Cancellation via Differential Artifact Subspace Tracking. X. Ni, O. Etesami, D. Alex, M. Shoaran.
• Under review, IEEE TBME — FND: A Meta-Evaluation Framework for Reliable Assessment of Neural Signal Denoising. X. Ni, T. Zhu, M. Shoaran.
• EMBC 2026, Oral — Physics Constraints and Expert Regularization for Unsupervised Stimulation Artifact Removal. T. H. Bui, X. Ni*, M. Shoaran. [code]
• EMBC 2026, Oral — iNeuroTune: Interpretable Neural Data Selection for Unsupervised Decoder Fine-Tuning. A. Wisniewska, X. Ni*, M. Shoaran.
• NeurIPS 2024 — Exploring the Trade-off Between Deep-Learning and Explainable Models for Brain-Machine Interfaces. L. H. Cubillos, G. Revach, M. J. Mender, et al. (incl. X. Ni).
• ICASSP 2024 — Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation. X. Ni, G. Revach, N. Shlezinger. [code]
• IEEE TSP 2023 — RTSNet: Learning to Smooth in Partially Known State-Space Models. G. Revach, X. Ni, N. Shlezinger, R. J. G. van Sloun, Y. C. Eldar. [code]
• ICASSP 2022 — RTSNet: Deep Learning Aided Kalman Smoothing. X. Ni, G. Revach, N. Shlezinger, R. J. G. van Sloun, Y. C. Eldar. [code]
• IEEE TSP 2022 — KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. G. Revach, N. Shlezinger, X. Ni, A. L. Escoriza, R. J. G. van Sloun, Y. C. Eldar. IEEE SPS Best Paper Award nomination; 870+ citations. [code]
• EUSIPCO 2022 — Unsupervised Learned Kalman Filtering. G. Revach, N. Shlezinger, T. Locher, X. Ni, R. J. G. van Sloun, Y. C. Eldar.
• IEEE MASS 2019 — Age of Information for Wireless Energy Harvesting Secondary Users in Cognitive Radio Networks. S. Leng, X. Ni, A. Yener.