Seminar

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 […]

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 […]

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 […]

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 […]

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. […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Zoom Link: https://hku.zoom.us/j/98147018160?pwd=KEuU1XQtISq3HQpWJyF6itZMJ1hYY5.1 Meeting ID: 981 4701 8160 Password: 294231 Abstract Accurately estimating morphological changes of the Posterior Eyeball Shape (PES) is a critical task in ophthalmology, since the PES is a […]

Zoom Link: https://hku.zoom.us/j/93486553339 Abstract The emergence of distributed Mixture-of-Experts (DMoE) systems, which deploy expert models at edge nodes, offers a pathway to achieving connected intelligence in sixth-generation (6G) mobile networks […]

Zoom Link: https://hku.zoom.us/j/92719085356?pwd=09aQ3vjvg9bhXcObBYxjNtj4UVx5V4.1 Abstract Mixed-chloride/bromide perovskite nanocrystals (PeNCs) are known for their advantages in pure blue emission, but often suffer from halogen segregation. This study investigates the ligand exchange process […]

Abstract 3D Dynamic Meshes can deliver engaging experiences in various applications, but the storage and transmission demands associated with these data structures can be prohibitive. We address this challenge with […]

Zoom Link: https://hku.zoom.us/j/95380440070 Abstract Complex-valued convolution neural networks (CVCNNs) have been recently applied for modulation recognition (MR), due to its ability to capture the relationship between the real and imaginary […]