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ISTD PhD Oral Defence Seminar by Wei Han – This thesis, aims to provide practical solutions towards basic issues such as high computational costs of multimodal learning, and giving practical solutions to each of them.

ISTD PhD Oral Defence Seminar by Qi Zhang – Analog-to-digital converters (ADCs) are crucial in signal processing but face challenges when handling high-dynamic-range signals. In radar systems, the coexistence of strong and weak targets can lead to significant information loss due to ADC limitations.

Congratulations to Associate Professor Liu Xiaogang’s PhD Student in Winning the Merit Award in the “Visual Science” Cover Contest

ISTD PhD Oral Defence Seminar by Ng Xun Long – The thesis presents Chaotic World, a large-scale multi-modal dataset with fine-grained annotations of human actions, interactions, and sounds in chaotic situations.

ISTD PhD Oral Defence Seminar by Pamela Wang – The thesis will study various degrees of centralisation in cooperation mechanisms, spanning from fully centralised planning-based approaches to fully decentralised communicating agents.

ISTD PhD Oral Defence Seminar by Dongrui Li – The dissertation investigates four AI accelerator design directions, each validated through tapeout prototypes. Spiking Neural Network (SNN) accelerators are explored with in network computing.

ISTD PhD Oral Defence Seminar by Ho Ngai Lam – Planning a tour Itinerary poses a significant challenge for tourists, especially when navigating unfamiliar territories. The computational complexity of tour recommendation further compounds this challenge due to its inherent intricacies.

ISTD PhD Oral Defence Seminar by Tomomasa Yamasaki – This dissertation proposes an integrated research framework that spans algorithm-level network evaluation, hardware-aware optimisation, and cycle-accurate performance simulation.

ISTD PhD Oral Defence Seminar by Hee Ming Shan – The proliferation of hateful multimodal content, particularly in the form of hateful memes, poses significant threats to online safety and social cohesion. Although deep learning systems, especially vision-language models, are essential to automated multimodal content moderation, they operate as black boxes, offering limited explainability into their decision-making processes.

The award is the highest government award granted by the Chinese government to Chinese doctoral students who study overseas as well as postdoctoral researchers who conduct research and have received doctorates overseas.