2024.05: Our paper Preventing Model Collapse in Gaussian Process Latent Variable Models has been accepted by ICML-2024. This is a joint work with Ying Li and Prof. Michael Minyi Zhang at The University of Hong Kong (HKU).

2024.05: Our paper Regularization-Based Efficient Continual Learning in Deep State-Space Models has been accepted by FUSION-2024.

2024.01: Our paper Graphical Multioutput Gaussian Process with Attention has been accepted by ICLR-2024.

2023.12: Our paper ProAgent: Building Proactive Cooperative Agents with Large Language Models has been accepted by AAAI-2024. This is a joint work with Prof. Yaodong Yang at Peking University (PKU).

2023.12: Our paper Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models has been accepted by ICASSP-2024.

2023.12: Our paper Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization has been accepted by ICASSP-2024.

2023.12: Our paper Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints has been accepted by ICASSP-2024.

2023.08: Our paper MetaLoc: Learning to Learn Wireless Localization has been accepted by IEEE Journal on Selected Areas in Communications (JSAC).

2023.08: Richard, Ao and Yanbo joined BLSP Group as fresh Ph.D. students.

2023.06: Feng YIN held a half-day Tutorial on "Sparsity-Aware Bayesian Learning" at ICASSP-2023, Rhodes Island, Greece. Click here to download the tutorial slides.

2023.05: Two papers authored by BLSP members have been accepted by ICASSP-2023.

2023.05: Feng YIN served as the leading GE for the special issue: Data-Driven Wireless Positioning towards High-Precision, Robustness, and Intelligence of Elsevier Signal Processing Journal.

2023.04: Our paper "Data-Adaptive M-Estimators for Robust Regression via Bi-Level Optimization" has been accepted by Elsevier Signal Processing Journal.

2023.03: Feng YIN received the Spark Award from Huawei Technology Co.Ltd.

2023.03: Our paper "A Framework for Millimeter-Wave Multi-User SLAM and Its Low-Cost Realization" has been accepted by Elsevier Signal Processing Journal. This is a joint work of Feng YIN with Jiajun HE and Prof. Hing-Cheung SO at City University of Hong Kong.

2023.02: Our paper "Deep Reinforcement Learning Empowers Automated Inverse Design and Optimization of Photonic Crystals for Nanoscale Laser Cavities" has been accepted by Nanophotonics. This is a joint work with Ceyao Zhang, Renjie Li and Prof. Zhaoyu Zhang at CUHK, Shenzhen.