Seminar

Zoom Link: https://hku.zoom.us/j/98873959228 Abstract Accurate load forecasting is fundamental to the stability and efficiency of modern power grids. While collaborative approaches that leverage multi-party data sharing can significantly enhance forecasting […]

Zoom Link: https://hku.zoom.us/j/94936719507?pwd=ceXhzS1htWuwj8oG0vJGQLS3JMpVwF.1 Abstract The reliable operation and strategic planning of smart grids are critically dependent on high-fidelity time series data. However, the increasing stochasticity of both energy supply and […]

Zoom Link: https://hku.zoom.us/j/92603659701 Abstract In the context of digital transformation of the energy system, how to effectively manage and quantify the uncertainty in forecasting has become a key bottleneck that […]

Zoom Link: https://hku.zoom.us/j/99852061481?pwd=QAsfylVs3cR4U1q4B4fczaBQpbyzKl.1 Abstract With the digitalization of smart grids, data becomes vital for advanced applications like load forecasting, energy management, and demand response. To unlock its full potential, the critical […]

Zoom Link: https://hku.zoom.us/j/99712347936?pwd=P2oHpewBKizDaTJNY9m4YowNQLZfaP.1 Abstract High-throughput dynamic imaging must recover fine spatial structure under rapid motion, yet no conventional sensor can fully overcome the trade-offs between spatial resolution, temporal resolution, and […]

Zoom Link: https://hku.zoom.us/j/96497087839?pwd=5X1msaxhZNiH87SuzGTPgQHZILJmgi.1 Abstract Machine learning has advanced unprecedentedly, exemplified by GPT-4 and SORA. However, they cannot parallel human brains in efficiency and adaptability due to differences in signal representation, […]

Zoom Link: https://hku.zoom.us/j/92646013468?pwd=lkoH511LkjLHtW43awHeBpEVnLfZ7b.1 Abstract Supervised deep learning has revolutionized computational imaging but relies heavily on vast datasets of clean, ground-truth images, which are often challenging to acquire in practice. This […]

Zoom Link: https://hku.zoom.us/j/97481664242 Abstract The rise of wearable and implantable bioelectronics necessitates stretchable electronic devices and systems to seamlessly integrate with soft biological environments. Stretchable organic electrochemical transistors (OECTs), based […]

Zoom Link: https://hku.zoom.us/j/97206601239?pwd=ZZh3WRdq0GpwIlSkVT1UP19HuJD2XQ.1 Abstract Shear wave elasticity imaging (SWEI) is a widely-used technique for quantifying the stiffness of biological tissues. Tissue stiffness varies with pathological processes, for instance, local tissue […]

Zoom Link: https://hku.zoom.us/j/96428082165?pwd=Ra2k3v7nAa8r90G3Ntje8n6uspb3V4.1 Abstract Nitrogen Vacancy (NV) center, an optically addressable defect in diamond, has been explored as a promising sensing platform, due to its exceptional electronic spin properties at […]

Zoom Link: https://hku.zoom.us/j/92852691758?pwd=ApSXYeoYJk3Y5MLcS33duwNe4ZyTnM.1 Abstract The rapid growth of Internet-of-Things (IoT) deployments, combined with increasing adoption of edge computing, has created substantial challenges in energy efficiency, real-time intelligence, and collaborative resource […]

Zoom Link:  https://hku.zoom.us/j/91408893076?pwd=5rgw1jrHuqg5lKfbIba5O5OsJGZbdf.1 Abstract Marine vehicles play an essential role in modern ocean operations, where reliable motion control is critical for safe, precise, and efficient task execution. This talk presents […]

Zoom Link: https://hku.zoom.us/j/8157366378?omn=98994435560 Abstract The poor mechanical durability of perovskite films due to the severe intrinsic strain, and the brittle nature of the flexible ITO electrode hinder foldable perovskite solar […]

Zoom Link:  https://hku.zoom.us/j/97347520963?pwd=ohdjCe9kx6axOTFn2m2M9gsVojb2kG.1 Abstract Federated Learning (FL) has rapidly advanced as a foundational paradigm for realizing privacy-preserving intelligence in edge networks. However, its real-world deployment is fundamentally challenged by two […]

Zoom Link:  https://hku.zoom.us/j/97338207102 Abstract Electrified high-speed railways are emerging as major and spatially distributed electricity consumers in modern power systems, and their traction demand is tightly coupled with train dynamics […]

Zoom Link:  https://hku.zoom.us/j/96462551842?pwd=MFNEYU1qcmZzeE9Rby9aRVZLQ0RZdz09 Abstract To address the computational challenges of AC Unit Commitment (AC-UC), this paper proposes a hybrid iterative framework that decomposes the MINLP model into a linearized MILP […]

Zoom Link: https://hku.zoom.us/j/97793742616?pwd=YIyYlokhzOsap3IvbsbwmfaHVHFoin.1 Abstract As Generative AI shifts toward handling massive context windows, the quadratic complexity of Transformer architecture has become a significant bottleneck. State Space Models (SSMs), particularly Mamba, […]