Yang Song

According to our database, Yang Song authored at least 49 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer.

Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber

IEEE Trans. Geosci. Remote. Sens., 2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations.

Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

CoRR, 2024

2023

Parameter Estimation Using a Triad of Electrically Long Dipole Despite Data Model Mismatch.

Wenye Zhong, Yang Song, Guofa Cai

IEEE Trans. Aerosp. Electron. Syst., April, 2023

RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments.

Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay

IEEE Trans. Image Process., 2023

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition.

Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay

CoRR, 2023

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

CoRR, 2023

Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks.

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay

CoRR, 2023

Graph Neural Convection-Diffusion with Heterophily.

Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks.

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay

Proceedings of the International Conference on Machine Learning, 2023

Robust Graph Neural Diffusion for Image Matching.

Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Proceedings of the IEEE International Conference on Image Processing, 2023

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.

Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A New Reconfigurable Intelligent-Surface-Assisted LoRa System.

Xiaoyu Zhang, Wenyang Xu, Guofa Cai, Yang Song, Guanrong Chen

IEEE Trans. Veh. Technol., 2022

On the Robustness of Graph Neural Diffusion to Topology Perturbations.

Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Preserving Trajectory Privacy in Driving Data Release.

Yi Xu, Chong Xiao Wang, Yang Song, Wee Peng Tay

Proceedings of the IEEE International Conference on Acoustics, 2022

Robust UWB Localization for Indoor Pedestrian Tracking Using EKF and Adaptive Power-Driven Parallel IMM.

Wenzhao Chi, Guofa Cai, Zhiping Xu, Yang Song

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems.

Chong Xiao Wang, Yang Song, Wee Peng Tay

IEEE Trans. Inf. Forensics Secur., 2021

Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT.

Guofa Cai, Yi Fang, Pingping Chen, Guojun Han, Guoen Cai, Yang Song

IEEE J. Sel. Areas Commun., 2021

Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks.

Yang Song, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks.

Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks.

Yang Song, Qiyu Kang, Wee Peng Tay

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Compressive Privacy for a Linear Dynamical System.

Yang Song, Chong Xiao Wang, Wee Peng Tay

IEEE Trans. Inf. Forensics Secur., 2020

Closed-Form BER Expressions of M-Ary DCSK Systems Over Multipath Rayleigh Fading Channels.

Guofa Cai, Yang Song

IEEE Commun. Lett., 2020

Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation.

Chong Xiao Wang, Yang Song, Wee Peng Tay

CoRR, 2020

Maximum Privacy under Perfect Utility in Sensor Networks.

Chong Xiao Wang, Wee Peng Tay, Yang Song

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019

Multi-Carrier <i>M</i>-ary DCSK System With Code Index Modulation: An Efficient Solution for Chaotic Communications.

Guofa Cai, Yi Fang, Jinming Wen, Shahid Mumtaz, Yang Song, Valerio Frascolla

IEEE J. Sel. Top. Signal Process., 2019

Error-Correcting Neural Network.

Yang Song, Qiyu Kang, Wee Peng Tay

CoRR, 2019

UWB/LiDAR Fusion For Cooperative Range-Only SLAM.

Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Privacy-Aware Kalman Filtering.

Yang Song, Chong Xiao Wang, Wee Peng Tay

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Preserving Parameter Privacy in Sensor Networks.

Chong Xiao Wang, Yang Song, Wee Peng Tay

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Grid-based belief propagation.

Yang Song, Chong Xiao Wang, Wee Peng Tay, Choi Look Law

Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

Robust decentralized localization in impulsive noise.

Yang Song, Wee Peng Tay, Choi Look Law

Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

2016

Canonical correlation analysis of high-dimensional data with very small sample support.

Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija

Signal Process., 2016

Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data.

Yuri Levin-Schwartz, Yang Song, Peter J. Schreier, Vince D. Calhoun, Tülay Adali

NeuroImage, 2016

Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime.

Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Determining the number of signals correlated across multiple data sets for small sample support.

Yang Song, Tanuj Hasija, Peter J. Schreier, David Ramírez

Proceedings of the 24th European Signal Processing Conference, 2016

Bootstrap-based detection of the number of signals correlated across multiple data sets.

Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Acoustic direction finding using a spatially spread tri-axial velocity sensor.

Yang Song, Kainam Thomas Wong

IEEE Trans. Aerosp. Electron. Syst., 2015

Acoustic direction finding using a pressure sensor and a uniaxial particle velocity sensor.

Yang Song, Yiu Lung Li, Kainam Thomas Wong

IEEE Trans. Aerosp. Electron. Syst., 2015

Multilinear direction finding for sensor-array with multiple scales of invariance.

Sebastian Miron, Yang Song, David Brie, Kainam Thomas Wong

IEEE Trans. Aerosp. Electron. Syst., 2015

Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small.

Yang Song, Peter J. Schreier, Nicholas J. Roseveare

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

An Hybrid Cramér-Rao Bound in Closed Form for Direction-of-Arrival Estimation by an "Acoustic Vector Sensor" With Gain-Phase Uncertainties.

Ping Kwan Tam, Kainam Thomas Wong, Yang Song

IEEE Trans. Signal Process., 2014

Corrections to "Vector Cross-Product Direction-Finding' With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops".

Yang Song, Xin Yuan, Kainam Thomas Wong

IEEE Trans. Signal Process., 2014

"Quasi-Blind" Calibration of an Array of Acoustic Vector-Sensors That Are Subject to Gain Errors/Mis-Location/Mis-Orientation.

Yang Song, Kainam Thomas Wong, Fangjiong Chen

IEEE Trans. Signal Process., 2014

A single-input multiple-output transceiver architecture to 'Blindly' null unknown interference for block-based single-carrier transmission with an insufficient guard interval.

Yang Song, Kainam Thomas Wong, Yung-Fang Chen

IET Signal Process., 2014

2013

Three-Dimensional Localization of a Near-Field Emitter of Unknown Spectrum, using an Acoustic Vector Sensor Corrupted by Additive Noise of Unknown Spectrum.

Yang Song, Kainam Thomas Wong

IEEE Trans. Aerosp. Electron. Syst., 2013

Decoupled 2D Direction-of-Arrival Estimation using Partly Calibrated Vector Hydrophones.

Yang Song

IEEE Trans. Aerosp. Electron. Syst., 2013

Linear minimum-mean-squared error estimation of phase noise, which has a symmetric levy distribution and a possibly large magnitude, from observables at irregular instants.

Yeong-Tzay Su, Yang Song, Kainam Thomas Wong

IET Commun., 2013

CANDECOMP/PARAFAC (CP) direction finding with multi-scale array.

Sebastian Miron, Yang Song, David Brie, Kainam Thomas Wong

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

A Lower Bound of Direction-of-Arrival Estimation for an Acoustic Vector Sensor Subject to Sensor Breakdown.

Yang Song, Kainam Thomas Wong

IEEE Trans. Aerosp. Electron. Syst., 2012