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Wee Peng Tay
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2020 – today
- 2024
[j74]Qiyu Kang
, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng:
Multi-armed linear bandits with latent biases. Inf. Sci. 660: 120103 (2024)- [j73]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber:
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j72]Xiaohong Ran, Wee Peng Tay, Christopher H. T. Lee:
Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems. IEEE Trans. Ind. Informatics 20(8): 10405-10418 (2024) - [j71]Xingchao Jian, Wee Peng Tay, Yonina C. Eldar:
Kernel Based Reconstruction for Generalized Graph Signal Processing. IEEE Trans. Signal Process. 72: 2308-2322 (2024) - [j70]Xinyu Liu, Ye Yuan, Tianxian Zhang, Guolong Cui, Wee Peng Tay:
Integrated Transmit Waveform and RIS Phase Shift Design for LPI Detection and Communication. IEEE Trans. Wirel. Commun. 23(6): 5663-5679 (2024) - [c107]Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. AAAI 2024: 231-239 - [c106]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI 2024: 10377-10385 - [c105]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. AAAI 2024: 13049-13058 - [c104]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. ICLR 2024 - [c103]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. ICML 2024 - [c102]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI. ISCAS 2024: 1-5 - [i69]Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR abs/2401.03167 (2024) - [i68]Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR abs/2401.04331 (2024) - [i67]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber:
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. CoRR abs/2404.14034 (2024) - [i66]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. CoRR abs/2404.17099 (2024) - [i65]Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay:
FedSheafHN: Personalized Federated Learning on Graph-structured Data. CoRR abs/2405.16056 (2024) - 2023
- [j69]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures. Found. Trends Signal Process. 17(3): 209-290 (2023) - [j68]Xinyu Liu, Ye Yuan, Tianxian Zhang, Guolong Cui, Wee Peng Tay:
LPI Radar Signal Design Resistant to Identification by ESM Systems. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9233-9246 (2023) - [j67]Pengfeng Lin, Chao Deng, Yongheng Yang, Christopher H. T. Lee, Wee Peng Tay:
Resilience-Oriented Control for Cyber-Physical Hybrid Energy Storage Systems Using a Semiconsensus Scheme: Design and Practice. IEEE Trans. Ind. Electron. 70(3): 2508-2519 (2023) - [j66]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber:
Image Patch-Matching With Graph-Based Learning in Street Scenes. IEEE Trans. Image Process. 32: 3465-3480 (2023) - [j65]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32: 5550-5563 (2023) - [j64]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Graph Neural Networks With Triple Attention for Few-Shot Learning. IEEE Trans. Multim. 25: 8225-8239 (2023) - [j63]Feng Ji, Wee Peng Tay, Antonio Ortega:
Graph Signal Processing Over a Probability Space of Shift Operators. IEEE Trans. Signal Process. 71: 1159-1174 (2023) - [j62]Wei Zhang, Zhenni Wang, Wee Peng Tay:
Approximate Maximum-Likelihood RIS-Aided Positioning. IEEE Trans. Wirel. Commun. 22(12): 8859-8875 (2023) - [c101]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. AAAI 2023: 6209-6216 - [c100]Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR 2023: 5176-5185 - [c99]Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay:
Modulo EEG Signal Recovery Using Transformer. ICASSP 2023: 1-5 - [c98]Xingchao Jian, Wee Peng Tay:
Kernel Ridge Regression for Generalized Graph Signal Processing. ICASSP 2023: 1-5 - [c97]Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Robust Graph Neural Diffusion for Image Matching. ICIP 2023: 311-315 - [c96]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. ICML 2023: 14869-14885 - [c95]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML 2023: 15786-15808 - [c94]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. IJCAI 2023: 4656-4664 - [c93]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. ISCAS 2023: 1-5 - [c92]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS 2023 - [c91]Chengming Jin, Wee Peng Tay, Kai Zhao, Keck Voon Ling, Jun Lu, Yue Wang:
A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements. PLANS 2023: 1176-1183 - [i64]Chong Xiao Wang, Wee Peng Tay:
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy. CoRR abs/2301.08401 (2023) - [i63]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR abs/2303.01030 (2023) - [i62]See Hian Lee, Feng Ji, Wee Peng Tay:
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks. CoRR abs/2303.01724 (2023) - [i61]Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay:
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR abs/2304.00932 (2023) - [i60]Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang:
Distributional Signals for Node Classification in Graph Neural Networks. CoRR abs/2304.03507 (2023) - [i59]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. CoRR abs/2305.00139 (2023) - [i58]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalized signals on simplicial complexes. CoRR abs/2305.06899 (2023) - [i57]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. CoRR abs/2305.16780 (2023) - [i56]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR abs/2305.18965 (2023) - [i55]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance. CoRR abs/2309.05260 (2023) - [i54]Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen:
Frequency Convergence of Complexon Shift Operators (Extended Version). CoRR abs/2309.07169 (2023) - [i53]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR abs/2310.06396 (2023) - [i52]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR abs/2310.16401 (2023) - [i51]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR abs/2311.03904 (2023) - [i50]Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber:
Image Patch-Matching with Graph-Based Learning in Street Scenes. CoRR abs/2311.04617 (2023) - [i49]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR abs/2312.10616 (2023) - 2022
- [j61]Feng Ji, Giacomo Kahn, Wee Peng Tay:
Signal Processing on Simplicial Complexes With Vertex Signals. IEEE Access 10: 41889-41901 (2022) - [j60]Adil Bin Bhutto, Xuan-Son Vu, Erik Elmroth, Wee Peng Tay, Monowar H. Bhuyan:
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds. IEEE Access 10: 94677-94690 (2022) - [j59]Feng Ji, Pratibha, Wee Peng Tay:
Unlimited dynamic range signal recovery for folded graph signals. Signal Process. 198: 108574 (2022) - [j58]Yongsheng Yan, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay:
A Tightly Coupled Integration Approach for Cooperative Positioning Enhancement in DSRC Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23(12): 23278-23294 (2022) - [j57]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks. IEEE Trans. Knowl. Data Eng. 34(11): 5182-5195 (2022) - [j56]Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. IEEE Trans. Serv. Comput. 15(4): 1785-1798 (2022) - [j55]Xingchao Jian, Wee Peng Tay:
Wide-Sense Stationarity in Generalized Graph Signal Processing. IEEE Trans. Signal Process. 70: 3414-3428 (2022) - [c90]Yi Xu, Chong Xiao Wang, Yang Song, Wee Peng Tay:
Preserving Trajectory Privacy in Driving Data Release. ICASSP 2022: 3099-3103 - [c89]Xingchao Jian, Wee Peng Tay:
Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal. ICASSP 2022: 5827-5831 - [c88]See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. IJCAI 2022: 3192-3200 - [c87]Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. ITSC 2022: 3032-3037 - [c86]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. MIPR 2022: 152-157 - [c85]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS 2022 - [i48]Chong Xiao Wang, Wee Peng Tay:
Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy. CoRR abs/2204.02031 (2022) - [i47]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Building Facade Parsing R-CNN. CoRR abs/2205.05912 (2022) - [i46]Feng Ji, Yiqi Lu, Wee Peng Tay, Edwin K. P. Chong:
Abstract message passing and distributed graph signal processing. CoRR abs/2206.04498 (2022) - [i45]See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. CoRR abs/2207.11761 (2022) - [i44]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR abs/2209.07754 (2022) - [i43]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR abs/2211.11238 (2022) - 2021
- [j54]Chong Xiao Wang, Yang Song, Wee Peng Tay:
Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems. IEEE Trans. Inf. Forensics Secur. 16: 671-684 (2021) - [j53]Tze Siong Lau, Wee Peng Tay:
Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost. IEEE Trans. Signal Process. 69: 1332-1346 (2021) - [j52]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. IEEE Trans. Signal Process. 69: 6530-6545 (2021) - [j51]Wei Zhang, Wee Peng Tay:
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. IEEE Wirel. Commun. Lett. 10(11): 2562-2566 (2021) - [c84]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. AAAI 2021: 9722-9729 - [c83]Feng Ji, Giacomo Kahn, Wee Peng Tay:
Traitement du signal sur les complexes simpliciaux. EGC 2021: 145-156 - [c82]See Hian Lee, Feng Ji, Wee Peng Tay:
Learning On Heterogeneous Graphs Using High-Order Relations. ICASSP 2021: 3175-3179 - [c81]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. NeurIPS 2021: 14925-14937 - [c80]Feng Ji, Wee Peng Tay:
Signal Processing with a Distribution of Graph Operators. SSP 2021: 551-555 - [c79]Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling:
5G Positioning Using Code-Phase Timing Recovery. WCNC 2021: 1-7 - [c78]Yang Song, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay:
Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks. WCNC 2021: 1-6 - [i42]See Hian Lee, Feng Ji, Wee Peng Tay:
Learning on heterogeneous graphs using high-order relations. CoRR abs/2103.15532 (2021) - [i41]Wei Zhang, Wee Peng Tay:
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. CoRR abs/2108.08457 (2021) - [i40]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. CoRR abs/2110.12976 (2021) - 2020
- [j50]Xinghua Liu, Wee Peng Tay, Zhi-Wei Liu, Gaoxi Xiao:
Quasi-Synchronization of Heterogeneous Networks With a Generalized Markovian Topology and Event-Triggered Communication. IEEE Trans. Cybern. 50(10): 4200-4213 (2020) - [j49]Meng Sun, Wee Peng Tay:
Decentralized Detection With Robust Information Privacy Protection. IEEE Trans. Inf. Forensics Secur. 15: 85-99 (2020) - [j48]Meng Sun, Wee Peng Tay:
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks. IEEE Trans. Inf. Forensics Secur. 15: 852-866 (2020) - [j47]Yang Song, Chong Xiao Wang, Wee Peng Tay:
Compressive Privacy for a Linear Dynamical System. IEEE Trans. Inf. Forensics Secur. 15: 895-910 (2020) - [c77]Chong Xiao Wang, Wee Peng Tay:
Data-driven Privacy With Domain Regularization. GLOBECOM 2020: 1-6 - [c76]Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay:
GFCN: A New Graph Convolutional Network Based on Parallel Flows. ICASSP 2020: 3332-3336 - [c75]Tze Siong Lau, Wee Peng Tay:
Privacy-Aware Quickest Change Detection. ICASSP 2020: 5999-6003 - [c74]Chong Xiao Wang, Wee Peng Tay, Yang Song:
Maximum Privacy under Perfect Utility in Sensor Networks. SAM 2020: 1-5 - [c73]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges. SAM 2020: 1-5 - [i39]Chong Xiao Wang, Yang Song, Wee Peng Tay:
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation. CoRR abs/2001.05618 (2020) - [i38]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. CoRR abs/2007.06878 (2020) - [i37]Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection with Privacy Constraint. CoRR abs/2009.08963 (2020) - [i36]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. CoRR abs/2010.05527 (2020) - [i35]Chong Xiao Wang, Wee Peng Tay:
Data-driven Regularized Inference Privacy. CoRR abs/2010.12346 (2020)
2010 – 2019
- 2019
- [j46]Gang Yang, Wee Peng Tay, Yong Liang Guan, Ying-Chang Liang:
Optimal Power Allocation for Diffusion-Type Sensor Networks With Wireless Information and Power Transfer. IEEE Access 7: 32408-32422 (2019) - [j45]Fuxi Wen, Henk Wymeersch, Bile Peng, Wee Peng Tay, Hing Cheung So, Diange Yang:
A survey on 5G massive MIMO localization. Digit. Signal Process. 94: 21-28 (2019) - [j44]Xin He, Wee Peng Tay, Lei Huang, Meng Sun, Yi Gong:
Privacy-Aware Sensor Network Via Multilayer Nonlinear Processing. IEEE Internet Things J. 6(6): 10834-10845 (2019) - [j43]Lijia Ma, Wee Peng Tay, Gaoxi Xiao:
Iterative expectation maximization for reliable social sensing with information flows. Inf. Sci. 501: 621-634 (2019) - [j42]Ramtin Rabiee, Xionghu Zhong, Yong-Sheng Yan, Wee Peng Tay:
LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments. IEEE Trans. Intell. Transp. Syst. 20(8): 2944-2961 (2019) - [j41]Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 31(11): 2190-2199 (2019) - [j40]Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Community-Based Bayesian Truth Discovery. IEEE Trans. Signal Inf. Process. over Networks 5(3): 525-537 (2019) - [j39]Tze Siong Lau, Wee Peng Tay, Venugopal V. Veeravalli:
A Binning Approach to Quickest Change Detection With Unknown Postchange Distribution. IEEE Trans. Signal Process. 67(3): 609-621 (2019) - [j38]Feng Ji, Wenchang Tang, Wee Peng Tay:
On the Properties of Gromov Matrices and Their Applications in Network Inference. IEEE Trans. Signal Process. 67(10): 2624-2638 (2019) - [j37]Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection in the Presence of a Nuisance Change. IEEE Trans. Signal Process. 67(20): 5281-5296 (2019) - [j36]Feng Ji, Wee Peng Tay:
A Hilbert Space Theory of Generalized Graph Signal Processing. IEEE Trans. Signal Process. 67(24): 6188-6203 (2019) - [c72]Feng Ji, Pratibha, Wee Peng Tay:
On Folded Graph Signals. GlobalSIP 2019: 1-5 - [c71]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. GlobalSIP 2019: 1-5 - [c70]Tze Siong Lau, Wee Peng Tay:
Asymptotically Optimal Quickest Change Detection under a Nuisance Change. ICASSP 2019: 5307-5311 - [c69]Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei:
A Privacy-preserving Diffusion Strategy over Multitask Networks. ICASSP 2019: 7600-7604 - [c68]Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen:
UWB/LiDAR Fusion For Cooperative Range-Only SLAM. ICRA 2019: 6568-6574 - [i34]Feng Ji, Jielong Yang, Wee Peng Tay:
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows. CoRR abs/1902.09173 (2019) - [i33]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery. CoRR abs/1906.10470 (2019) - [i32]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. CoRR abs/1906.10981 (2019) - [i31]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Neural Network. CoRR abs/1912.00181 (2019) - 2018
- [j35]Jielong Yang, Xionghu Zhong, Wee Peng Tay:
A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks. IEEE Internet Things J. 5(5): 3942-3953 (2018) - [j34]