Seminar

Zoom Link: https://hku.zoom.us/j/93628966280 Abstract Recent advances in artificial intelligence have brought new momentum to healthcare driven by neural signal decoding. This seminar presents three lines of our research on AI-based neural signal analysis across diverse application domains, including wearable EEG-based epileptic seizure detection, emotion recognition in SSVEP-based brain–computer interfaces (BCIs), and multimodal neuroimaging-based tinnitus diagnosis. […]

Zoom Link: https://us05web.zoom.us/j/83514440427?pwd=4Lao2gGnkpLnw510JJXc0mXIaXCmJ5.1 Abstract Existing motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this limitation, we propose integrating motion planners with Doppler LiDARs which provide not only ranging measurements but also instantaneous point velocities. However, this integration is nontrivial due to the dual requirements of […]

Abstract Low Earth orbit (LEO) satellite constellations offer global communication capabilities, yet fundamental system challenges restrict their full utility. Specifically, under increasing user demands, these networks face difficulties in optimizing internal traffic distribution and efficiently delivering advanced content services. Furthermore, seamlessly integrating space-based infrastructure with terrestrial systems to ensure resilient operations remains an unresolved issue. […]

Zoom Link: https://us05web.zoom.us/j/89432980495?pwd=LSDClCuSVwd9fL5oZaI532byF2aC1a.1 Abstract Miniature fluorescence microscope, or miniscope, is a compact fluorescence imaging system that integrates the excitation source, optical filters, imaging optics, and image sensor into a small platform.  Among various technical approaches, one-photon widefield miniscopes are especially attractive because of their relatively simple architecture, strong engineering feasibility, and compatibility with two-dimensional superficial […]

Zoom Link: https://hku.zoom.us/j/99219579381?pwd=IjEXStaAdwdBhtSyoZ0aYbLavr0zhX.1 Abstract Deep learning (DL)-based methods have achieved remarkable success in continuous wireless resource allocation, yet its application to problems involving discrete variables remains hindered by the zero-gradient issue, complex constraint enforcement, and the lack of non-same-parameter-same-decision (non-SPSD) guarantees. To address these challenges, this seminar presents a novel DL framework that leverages probabilistic […]

Zoom Link: https://hku.zoom.us/j/91528535994?pwd=pagmffbltruagBNPmFkEWo5sxaFJrN.1 Abstract Deterministic control of nitrogen–vacancy (NV) centers in nanodiamonds (NDs) is critical for emerging applications in quantum photonics and high-density optical data storage. Conventional approaches based on random irradiation and thermal annealing often lead to nondeterministic NV formation and lattice damage, making it difficult to precisely control the optical properties of the […]

Zoom Link: https://hku.zoom.us/j/99658715385?pwd=NaDaq5EIkqa3RYU4pDDYxbz5stbh45.1 Abstract High-frame-rate ultrasound imaging is a cornerstone of modern medical diagnostics and structural monitoring, yet it remains bound by the classical trade-off between spatial resolution and acquisition speed. While conventional delay-and-sum (DAS) beamforming is the industry standard, its resolution is fundamentally limited by the transducer's diffraction pattern. This seminar introduces Null Subtraction […]

Zoom Link: https://hku.zoom.us/j/92581464035?pwd=APBvw8rHe96aZfdqA9bhiKatjwmjXe.1 Abstract Additive manufacturing enables the bottom-up fabrication of tailored and functional optoelectronic devices. However, realizing printed (opto)electronics with micro- and nanoscale features and multi-dimensional structures remains challenging. Here, we developed electrohydrodynamic (EHD) printing as the platform for the in-situ deposition of sub-micron-resolution colloidal quantum dot (QD) inks from quasi-2D monolayers to 2D […]

Zoom Link: https://us05web.zoom.us/j/82211644170?pwd=MUs6qBHh0EZskKbZOsacWOHAGHK4rQ.1 Abstract The rapid proliferation of aggregated flexible resources in active distribution systems (ADSs) calls for accurate estimation of the flexibility area (FA) at the transmission system operator–distribution system operator (TSO–DSO) interface to improve operational coordination. Meanwhile, voltage control plays a critical role in maintaining both economic and secure grid operation. However, the […]

Zoom Link: https://hku.zoom.us/j/94349548162?pwd=rk4r0ND8iT1JzXjGsg293RmHKPGrjg.1 Abstract Modern network intrusion detection systems face critical challenges in open and dynamic environments, including concept drift as threat patterns evolve, label noise as annotations are inherently unreliable, and limited interpretability as detection decisions are difficult to understand and trust. This seminar presents our recent progress toward a trustworthy intrusion detection paradigm. […]

Zoom Link: https://hku.zoom.us/j/6589092185?pwd=19EpQ4AqzgRRwQzym8vF0aaKui1J2b.1 Abstract Inference-time scaling has emerged as an effective approach for enhancing the capabilities of Large Language Models (LLMs), addressing the growing demand for stronger reasoning without increasing model size. This novel form of LLM scaling comprises two representative approaches: explicit reasoning, which generates intermediate chain-of-thought tokens during an explicit thinking phase, and […]

  Abstract Intrinsic wavelength tuning in InGaN/GaN multiple quantum wells (MQWs) is a critical aspect of optimizing their performance for various applications, including display technologies and visible light communication. This project investigates the underlying mechanisms of wavelength tuning in InGaN/GaN MQWs and explores strategies to achieve precise control over the emission wavelength. Through a combination […]

  Abstract With the evolution of 6G mobile communications, achieving 99.999% seamless global coverage has become a key requirement. Traditional terrestrial networks still suffer from coverage blind spots in scenarios such as emergency rescue and vast ocean areas. Therefore, building a space–air–ground integrated network by combining satellite, aerial, and terrestrial systems has become an important […]

Zoom Link  https://hku.zoom.us/j/92285676627?pwd=oaba8ue6daTbmrDBhxaIhYsykCedbR.1 Abstract During the period of the Internet of Things (IoT) and big data, data capacity is growing exponentially, the delay and loss caused by data transmission make the traditional von Neumann computing architecture urgently need to be overturned and restructured. This has led to a growing demand for emerging memory devices, posing […]

Zoom Link  https://hku.zoom.us/j/95263844640 Abstract Wind power forecasting remains highly challenging due to the strong nonlinearity of atmospheric dynamics,pronounced diurnal regime differences, and substantial uncertainties in multi-source meteorological data. Conventional black-box machine-learning models mainly rely on observational correlations, often neglecting physical constraints and causal mechanisms, which leads to limited interpretability and poor robustness under distribution shifts. […]