News
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2025.07: Our paper entitled “Scalable Random Feature Latent Variable Models” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence.
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2025.07: Relocating to HKU
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2025.06: Contributed talk/poster @ Bayes Comp 2025 ,
Ensemble filtering in nonlinear dynamical systems -
2025.06: Contributed talk @ Bayesian Methods for Distributional and Semiparametric Regression, Bayes Comp 2025
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models -
2025.04: Our paper entitled “Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction” has been accepted by IEEE Transactions on Mobile Computing.
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2025.03: Gave a talk @ Huawei (Shanghai)
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models -
2025.01: Our paper entitled “Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel” has been accepted by IEEE Transactions on Neural Networks and Learning Systems.
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2024.09: Invited to serve as Reviewer for ICLR 2025, AISTATS 2025, ICASSP 2025.
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2024.08: Our paper entitled “Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference” has been accepted by IEEE Transactions on Signal Processing.
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2024.06: I joined NUS as a Research Fellow
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2024.06.13: I successfully defended my PhD
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2024.05: One paper was accepted by ICML 2024, and one paper was accepted by IEEE FUSION 2024
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2023.02: Paper entitled “Output-Dependent Gaussian Process State-Space Model” has been accepted by IEEE ICASSP 2023.
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2022.05: Paper entitled “Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data” has been accepted by IEEE FUSION 2022.
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2022.01.05: I pass the Ph.D. Qualifying Examination and become a Ph.D. candidate.
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2021.02: Paper entitled “Graph Neural Network for Large-Scale Network Localization” has been accepted by IEEE ICASSP 2021.
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2020.11.06: Review paper (29-page) entitled “FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing” has been published in IEEE Open Journal of Signal Processing.
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2020.05: Paper entitled “An Interpretable and Sample Efficient Deep Kernel for Gaussian Process” has been accepted by UAI 2020.