Highlights

Abstract Redox-based resistive switching random access memory (ReRAM) which is frequently discussed as a promising non-volatile memory as well as a central element in novel neuromorphic computing applications, is typically integrated in 1-transistor-1-resistor (1T1R) structures. While the access transistor is required as a selective device and acts as an effective current compliance during SET, it […]

Abstract Reactive power compensation plays a critical role in improving power quality, enhancing voltage stability, and optimizing the efficiency of electrical power systems. This presentation will first highlight the main applications of shunt reactive power compensators and provide an overview of key technologies, including Static Var Compensators (SVC), and Static Synchronous Compensators (StatComs). Then the […]

Abstract In this presentation, the speaker will cover how MRI technologies have evolved from the early pioneering days till today. The presentation will discuss the technological challenges to be met in our current pursuit of broader MRI applications in healthcare and basic biomedical research. The speaker will also discuss different application scenarios for the huge […]

Click HERE to view the event poster. Time & Venue 09:00 – 12:00: Room CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong (HKU); 14:00 – 15:30: Room EH-101, 1/F, Eliot Hall, HKU. Schedule & Speakers Time & Venue*: Programme: 09:00 – 09:20 CB-603 Registration 09:20 – 09:30 CB-603 Opening Remarks - Prof. Yi […]

Abstract Optimised power system planning and operation are core to delivering a low-cost and high-reliability transition path to net-zero carbon emissions. However, power system optimisation problems are now posing challenges for even the largest exa-scale supercomputers. A new avenue for progress has been opened by recent breakthroughs in quantum computing. Quantum computing offers a fundamentally […]

Mode: Online via Zoom Zoom Link: https://hku.zoom.us/j/93338747328 Meeting ID: 933 3874 7328 Abstract Drones are among the most disruptive innovations in the past few years, spawning many novel applications including aerial imaging, instant delivery, sky networking, and industrial inspection. Building system supports for drone-based autonomous applications is critical to simultaneously enhance accuracy, efficiency, and minimize […]

You are cordially invited to join us for the upcoming workshop on “Frontiers of Image Science and Visual Computing 2025” on April 15, 2025. For the most updated details of the workshop and registration, please visit the event website: https://hku.welight.fun/events/workshop_25Apr Date: April 15, 2025 (TUE) Time: 10:00 – 17:30 Venue: Multi-purpose Zone Room, 3/F, Main Library, The University […]

Abstract GaAs/InP and related alloys, and III-nitrides are used for most high-performance device applications except CMOS logic. Optoeletronics, high frequency (RF to THz) and power electronics are dominated by III-V compound semiconductors. We will discuss various factors of nature, nurture, and culture leading to today’s landscape. Photonic integrated circuits made with compound semiconductors on native […]

Zoom Link: https://hku.zoom.us/j/96308127770?pwd=EPYwEx3OHCPhiFDRaY9mNKFvbrtYMA.1 Meeting ID: 963 0812 7770 Password: 254774 Abstract Computational optics is emerging as a transformative field to overcome challenges in achieving high-fidelity imaging across wide fields of view (FoV). However, existing methods struggle with computational inefficiency for simulating off-axis diffraction and maintaining imaging quality at wide-FoV due to limited wavefront control. In […]

Zoom Link: https://hku.zoom.us/j/99573774863?pwd=rkA2rKib5AXIzhfMD5grx9darAa05B.1 Meeting ID: 995 7377 4863 Password: 437351 Abstract Understanding the microscopic thermal effects of the hydrogel is important for its application in diverse fields, including thermal-related studies in tissue engineering and thermal management for flexible electronic devices. In recent decades, localized thermal properties, such as thermal conductivity, have often been overlooked due […]

Zoom Link: https://hku.zoom.us/j/92481644796?pwd=2CJcxbzAimj87HfFHoBMvUr9oCnOUZ.1 Abstract Crowded object detection is a practical yet challenging research field in computer vision. Many research efforts have been made and achieved impressive progress in the last few decades. However, most of them require handcraft components, e.g. anchor settings and post-processing, resulted in sub-optimal performance in handling scenes. In this work, we […]

Zoom Link: https://hku.zoom.us/j/95286760379?pwd=3C7A8QPlmXLJAQZ5IsYbEWdDXXvWk1.1 Meeting ID: 952 8676 0379 Password: 492840 Abstract Contemporary global motor systems predominantly rely on cable-based and battery-powered energy transmission mediums, both of which exhibit fundamental structural limitations. Wired systems face challenges such as installation and maintenance complexity, mobility constraints, and safety vulnerabilities, particularly in confined spaces or high-precision applications. On the […]

Zoom Link: https://hku.zoom.us/j/5098778281?pwd=wMZ3GQvpRdxkCjv8p79h3JN1xdgOJe.1 Meeting ID: 509 877 8281 Password: 670951 Abstract The development of sixth-generation wireless communication systems demands innovative solutions to address challenges in the deployment of a large number of base stations and the detection of multi-band signals. Quantum technology, specifically nitrogen-vacancy centers in diamonds, offers promising potential for the development of compact, […]

Abstract Ultrafast ultrasound blood flow imaging is a state-of-the-art technique for depiction of complex blood flow dynamics in vivo through thousands of full-view image data (or, timestamps) acquired per second. Physics-informed Neural Network (PINN) is one of the most preeminent solvers of the Navier-Stokes equations, widely used as the governing equation of blood flow. However, […]

Zoom Link: https://hku.zoom.us/j/97776760951?pwd=zaNBWC786IgVZjQ7NU8SNDJdEeIorn.1 Abstract Block-term decomposition (BTD), particularly its rank-(L_r,L_r,1) special case, is widely used in signal processing. Traditional methods for computing BTD from fully observed tensors either unrealistically assume the tensor rank and block-term ranks are known or require exhaustive tuning of these parameters. While sparsity-promoting regularization has been introduced to estimate ranks more […]

Abstract Image semantic communication (ISC) has garnered significant attention for its potential to achieve high efficiency in visual content transmission. However, existing ISC systems based on joint source-channel coding face challenges in interpretability, operability, and compatibility. To address these limitations, we propose a novel trustworthy ISC framework. This approach leverages text extraction and segmentation mapping […]

Zoom Link: https://hku.zoom.us/j/3837289217?omn=95617077246 Abstract Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for analog-digital conversion continue to hinder their wide-scale adoption in mainstream systems. To address these issues, this presentation will introduce WireLightning, a novel capacitive-computing accelerator featuring a mixed-signal architecture […]

Zoom Link : https://hku.zoom.us/j/91765972342?pwd=CHXoKEknnfPc6zbhHCADi7A1abVUyI.1 Abstract As deep learning is increasingly applied in medical image analysis, developing efficient and accurate models has become crucial. However, traditional deep learning methods usually require large amounts of annotated data, posing a significant challenge in medical imaging due to complex data collection and high annotation costs. Furthermore, privacy and security […]

Zoom Link: https://hku.zoom.us/j/95300634244 Abstract In the realm of activity detection for massive machine-type communications, intelligent reflecting surfaces (IRS) have shown significant potential in enhancing coverage for devices lacking direct connections to the base station (BS). However, traditional activity detection methods are typically designed for a single type of channel model, which does not reflect the […]

Zoom Link: https://hku.zoom.us/j/91757354553?pwd=tHpInMTglaIVMJLek0ydP0vddHihh8.1  Meeting ID: 917 5735 4553 Passcode: 587193 Abstract Existing Video-to-Audio (V2A) models typically generate sound based solely on visual input, offering limited user control. To address this limitation, we propose a multimodal controllable V2A system that conditions audio generation on a variety of user inputs– such as text, images, or audio– in […]