Events

ISTD PhD Oral Defence Seminar by Perry Lam – Neural networks are known to be over-parametrised and sparse models have been shown to perform as well as dense models over a range of image and language processing tasks. However, while compact representations and model compression methods have been applied to speech tasks, sparsification techniques have rarely been used on text-to-speech (TTS) models. We seek to characterise the impact of selected sparse techniques on the performance and model complexity.

ISTD COIL Seminar by Adriel Kuek – This talk will provide an insightful glimpse into the world of defence R&D, shedding light into an often secretive industry and hopefully inspire aspiring graduates to consider a career in the Defence Technology Community.

ISTD PhD Oral Defense Seminar by Gong Jia – 3D digital human has been widely used in fields like virtual reality, fashion, and film/game production. Traditionally, creating and animating digital humans requires skilled engineers and expensive equipment, typically accessible only to large companies. Thus, developing deep learning tools to democratize the creation and animation of digital humans is urgently needed.

ISTD COIL Seminar by Mark Sin – Are you curious about how your school experiences can help shape your career? Join us for an insightful seminar by Mark Sin, an overseas Singaporean based in California, who is an accomplished engineering architect at Apple Inc. In this seminar, Mark will share how the completion of industry projects, internships and acquisition of essential soft skills during his school days could help to land him into an engineering role in one of the world’s leading tech companies.

ISTD PhD Oral Defense Seminar by Haoran Li – Language models are critical to the advancement of natural language processing and general artificial intelligence. In this thesis, we aim to address the limitations of language models, particularly focusing on the exposure bias in Autoregressive (AR) models and the label bias in Non-Autoregressive (NAR) models.

ISTD COIL Seminar by Fan Liu & Felix Tong – This session will give you an overview of how technology, especially cybersecurity, is being adapted at Morgan Stanley. Speakers will then deep dive into the topic of digital signatures – the origin, history, and more importantly its current application in the banking industry and latest developments.

ISTD PhD Oral Defense Seminar by Li Xu – In the ever-evolving field of artificial intelligence (AI), deep learning has emerged as a pivotal technique driving remarkable advancements across various domains. Among its many branches, multi-modal learning stands out as a particularly significant approach, which involves integrating and processing information from multiple modalities of data, such as visual content and language information, to enhance the capabilities of AI systems.

ISTD PhD Oral Defense Seminar by Rulin Chen – An assembly comprises parts joined together to achieve a specific form or functionality. Compared to monolithic objects, assemblies have many benefits in terms of fabrication, transportation, and adaptability. Parts of assemblies are always geometrically simple to fabricate with digital techniques, can be efficiently packed for transportation, and offer adaptability through flexible replacement or modification. Hence, assemblies are widely used in our daily lives that most of our consumer products, industry machines, and architectural structures are assemblies.

ISTD PhD Oral Defense Seminar by Menglin Li – Social media has become an integral part of daily life, leading to an explosion of social data. Geographical information within social media is essential for applications such as location-based analysis, recommendations, and targeted advertising. However, such information is sparse, prompting the exploration of mining it from social media data.

ISTD Seminar by Sumit J. Darak – The talk will present the recommendation to enable the IEEE 802.11ad framework to support for radar-based localisation of mobile users while maintaining compatibility with the existing communication protocol requirements; signal processing and online learning-based algorithms for supporting radar-based detection and localisation of mobile users as well as estimation of channel conditions in both static and quasi-static scenarios.