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Zoom Link: https://hku.zoom.us/j/98499142544?pwd=zvVs3BqWzIzCA071Dqq2rYW7vIAqj7.1 Abstract The advent of GPT-4o highlights the immense potential of Multimodal Large Language Models (MLLMs) with native visual generation capabilities. These unified models offer precise control in […]
Zoom Link: https://hku.zoom.us/j/91953486299?pwd=lEW6N6JKhmAHLoS38VohufbEoJyJtw.1 Abstract This seminar examines how modern image generation models can be redesigned to achieve both high fidelity and high efficiency under flexible inference budgets. I will begin […]
Abstract The speaker aims to provide an update on recent progress by his research team on machine learning for communication networks. If time permits, he will also highlight his work […]
Abstract This seminar provides a systematic showcase of our end-to-end energy-efficient solutions in AI accelerator design, spanning from the foundational compute unit to specialized architectures and large model deployment on […]
Zoom Link: https://hku.zoom.us/j/6983793721?pwd=UjwaYARlhjvhUf7DDp3bMjbJnlhVbr.1 Abstract Structured illumination refers to a class of optical imaging methods in which the sample is illuminated with a controlled spatial light pattern rather than uniform illumination. […]
Abstract Brain health is one of the key societal challenges for the 21st century, and much progress has been made in understanding and treating brain health conditions, aided by growing […]
Abstract In this talk, we will introduce SubLoRA, a rank determination method for Low-Rank Adaptation (LoRA) based on submodular function maximisation. In contrast to prior approaches, such as AdaLoRA, that […]
Abstract Split Federated Learning (SFL) combines computational efficiency with privacy preservation, but existing incentive mechanisms assume uniform cut-layer configurations across clients. This seminar presents a novel incentive mechanism that accounts […]
Abstract Colloidal semiconductor quantum dot nanocrystals (QD NCs) have been shown to be promising materials for electronic and optoelectronic device applications because of their unique size dependent properties and solution […]
*After the seminar, you are also welcome to attend in-person discussions with the speakers from 11:30 am to 12:30 pm in Room 601J. Abstract Solid-state lasers mean laser systems using […]
Abstract Due to the evident climate change and environmental pressures the future power/energy systems will have to operate, sooner rather than later, in a net-zero environment. This will manifest in […]
Abstract The ongoing energy transition is challenging centralised power system paradigms by rapidly integrating distributed energy resources (DERs), which introduce significant supply-demand variability. This variability complicates grid management and necessitates […]
Zoom Link: https://hku.zoom.us/j/92120929746?pwd=aL2f7KSR1uAb9rKfYOyaxpOKa9SBQL.1 Abstract We strengthen the theoretical foundation of universal graph prompt tuning by introducing stricter constraints, demonstrating that adding prompts to all nodes is a necessary condition for […]
Zoom Link: https://hku.zoom.us/j/98761635562?pwd=7QQk1kgMNRmNcaNcVr3bsVi0A2LbZs.1#success Abstract This paper tackles long-tailed learning where tail classes suffer from poor feature generalization due to limited sample diversity. It makes a key observation—finer-grained datasets are less […]
Abstract As quantum technologies redefine the landscape of modern electronics and communication networks, the efficient characterisation and monitoring of complex quantum systems have become essential. In this talk, I will […]
Zoom Link: https://hku.zoom.us/j/2597624634?omn=91226274349 Abstract Integrating the wireless electric vehicle energy network with microgrids benefits vehicle owners and grid operators. Yet, economical and reliable operations for such combinations under renewable energy […]
All EEE MSc students are welcome!
Abstract This talk will begin with a brief introduction to Yonsei University and then present an overview of its recent research efforts in 6G and cloud-based wireless prototyping. Since 2011, […]
Abstract Reinforcement learning in humans depends on distributed neural circuits for value updating and behavioural adaptation. Cross-species comparisons, particularly with macaques, greatly facilitate our understanding of these mechanisms in humans […]
Abstract Advanced electron microscopy, characterised by atomic-scale resolution, is a cornerstone for observing material dynamics. The development of these instruments presents complex engineering challenges in electro-optics and system integration. Dr. […]