BLSP (Bayesian Learning for Signal Processing) Group is a research group led by Prof. Feng Yin of the Chinese University of Hong Kong, Shenzhen. The main research interests include Bayesian learning theory, probabilistic models and methods, causal inference, statistical estimation theory as well as their applications to signal processing and wireless communications applications.
博士后招聘
香港中文大学（深圳）理工学院尹峰教授课题组诚聘博士后，综合待遇不低于 32 万元/年。招聘领域包括：
- 贝叶斯机器学习
- 统计信号处理（与机器学习的结合）
- 大规模动态时空数据建模
- 传感器融合
详情见招聘要求.pdf。请将申请材料打包压缩，邮件主题命名为“博后申请_姓名_毕业院校_毕业年份_专业”（示例：“博后申请_李天明_慕尼黑工业大学_2023_电子信息工程专业”）发送至邮箱 yinfeng@cuhk.edu.cn，谢谢！
Recent News
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2024.08: Our paper Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference has been accepted by IEEE Transactions on Signal Processing (TSP). |
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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). |
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2024.05: Our paper Regularization-Based Efficient Continual Learning in Deep State-Space Models has been accepted by FUSION-2024. |
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2024.01: Our paper Graphical Multioutput Gaussian Process with Attention has been accepted by ICLR-2024. |
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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). |
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2023.12: Our paper Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models has been accepted by ICASSP-2024. |
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2023.12: Our paper Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization has been accepted by ICASSP-2024. |
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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. |
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2023.08: Our paper MetaLoc: Learning to Learn Wireless Localization has been accepted by IEEE Journal on Selected Areas in Communications (JSAC). |
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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. |
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2023.05: Two papers authored by BLSP members have been accepted by ICASSP-2023. |
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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. |
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2023.04: Our paper "Data-Adaptive M-Estimators for Robust Regression via Bi-Level Optimization" has been accepted by Elsevier Signal Processing Journal. |
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2023.03: Feng YIN received the Spark Award from Huawei Technology Co.Ltd. |
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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. |
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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. |