Full publications (Google Scholar Profile)

Selected Publications

Adversarial Robustness

1. On the robustness of graph neural diffusion to topology perturbations
   Y. Song* , Q. Kang, S. Wang, K. Zhao*, and W. P. Tay
   Advances in Neural Information Processing Systems (NeurIPS), 2022. (*Equal Constribution)

2. Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks
   Q. Kang*, Y. Song*, Q. Ding, and W. P. Tay
   Advances in Neural Information Processing Systems (NeurIPS), Dec. 2021. (*Equal Constribution)

3. Error-correcting output codes with ensemble diversity for robust learning in neural networks
   Y. Song* , Q. Kang*, and W. P. Tay
   Proc. AAAI Conference on Artificial Intelligence, 2021. (*Equal Constribution)

Graph Neural Diffusion

1. Graph neural convection-diffusion with heterophily
   K. Zhao, Q. Kang, Y. Song , R. She, S. Wang, and W. P. Tay
   Proc. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 2023.

2. Node embedding from neural Hamiltonian orbits in graph neural networks
   Q. Kang, K. Zhao, Y. Song , S. Wang, and W. P. Tay
   Proc. International Conference on Machine Learning (ICML), Haiwaii, USA, Jul. 2023.

Privacy-Aware Signal Processing

1. Preserving trajectory privacy in driving data release
   Y. Xu, C. X. Wang, Y. Song, and W. P. Tay
   Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2022.

2. Arbitrarily strong utility-privacy tradeoff in multi-agent systems
   C. X. Wang, Y. Song, and W. P. Tay
   IEEE Transactions on Information Forensics and Security, vol. 16, pp. 671 – 684, 2021.

3. Compressive privacy for a linear dynamical system
   Y. Song, C. X. Wang, and W. P. Tay,
   IEEE Transactions on Information Forensics and Security, vol. 15, pp. 895 – 910, 2020.

Sensor Fusion and SLAM:

1. UWB/LiDAR fusion for cooperative range-only SLAM
   Y. Song* , M. Guan*, W. P. Tay, C. L. Law, and C. Wen
   Int. Conf. on Robotics and Automation (ICRA), Montreal, Canada, May 2019. (*Equal Constribution)

Multi-Modal Data Analysis

1. Canonical Correlation Analysis of High-Dimensional Data with Very Small Sample Suppor
   Y. Song, P. Schreier, D. Ramirez and T. Hasija,
   Signal Processing, vol. 128, pp. 449-458, Nov. 2016.

2. Sample-poor Estimation of Order and Common Signal Subspace with Application to Fusion of Medical Imaging Data
   Y. Levin-Schwartz, Y. Song, P. Schreier, V. D. Calhoun and T. Adali,,
   NeuroImage, vol. 134, pp. 486-493, July 2016.

Acoustic Signal Processing

1. Higher-Order Figure-8 Microphones/Hydrophones Collocated as a Perpendicular Triad – Their “Spatial-Matched-Filter” Beam Steering
   S. Du, K. T. Wong, Y. Song, C. J. NNONYELU and Y. Wu,
   The Journal of the Acoustical Society of America, 2021.

2. A multilinear approach of direction finding using a sensor-array with multiple scales of spatial invariance
   S. Miron, Y. Song, D. Brie and K. T. Wong,
   EEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 3, pp.2057-2070, July 2015.

3. Quasi-Blind” Calibration of an Array of Acoustic Vector-Sensors that are Subject to Gain Errors / Mis-Location / Mis-Orientation
   Y. Song, K. T. Wong and F. J. Chen,
   IEEE Transactions on Signal Processing,, vol. 62, no. 9, pp. 2330-2344, May 2014.