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Congratulations to ISTD PhD student Thilini Cooray and Associate Professor Cheung Ngai-Man for their AAAI-2022 paper selected for Oral Presentation

Congratulations to ISTD PhD student Thilini Cooray and Associate Professor Cheung Ngai-Man for their AAAI-2022 paper selected for Oral Presentation – Information Systems Technology and Design (ISTD)

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ISTD PhD Oral Defence Seminar by Ho Ngai Lam – Utilising large language models for tour itinerary recommendation

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
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ISTD PhD Oral Defence Seminar by Gionnieve Lim – Human-centred design of automated labelling interventions to mitigate misinformation on social media

ISTD PhD Oral Defence Seminar by Gionnieve Lim – The thesis investigates the use of various labelling interventions that incorporate automated fact-checking elements for humans, examining people’s perceptions of the labels and their attitudes to the labelled content.

ISTD
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ISTD PhD Oral Defense Seminar by Menglin Li – Leveraging pre-trained language models for social geolocation

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.

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Congratulations to Assistant Professor Liu Jun and his PhD Student Qu Haoxuan for winning PREMIA Best Student Paper Award

Congratulations to Assistant Professor Liu Jun and his PhD Student Qu Haoxuan for winning PREMIA Best Student Paper Award

ISTD
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ISTD PhD Oral Defence Seminar by Joel Ong – Modern portfolio construction with advanced deep learning models

ISTD PhD Oral Defence Seminar by Joel Ong – We explore the modern application of deep learning techniques in portfolio construction, presenting innovative methodologies that significantly enhance traditional investment strategies. Central to this research are three advanced frameworks that leverage deep learning to optimize financial portfolios.

ISTD
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Congratulations to Professor Zhou Jianying and his visiting PhD Student for receiving the Distinguished Paper Award at ACSAC 2023

Congratulations to Professor Zhou Jianying and his visiting PhD Student for receiving the Distinguished Paper Award at ACSAC 2023

ISTD
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ISTD PhD Oral Defence Seminar by Wei Lin – Domain-aware stealthy attack and digital-twin-based defence for critical information infrastructures

ISTD PhD Oral Defence Seminar by Wei Lin – Critical Information Infrastructures (CII) encompass the fundamental computer systems that ensure the continuous delivery of essential services, including sectors such as energy, water, and infocomm. Safeguarding these systems against both physical and cyber threats is crucial to maintaining the continuity and resilience of the services they support.

ISTD
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ISTD PhD Oral Defence Seminar by Ong Kian Eng – Towards intelligent analytics for smarter animal behavioural analysis

ISTD PhD Oral Defence Seminar by Ong Kian Eng – Understanding and analysing animal behaviours is crucial for gaining profound insights into the health, needs, and overall well-being of the animal. This involves measuring and monitoring factors such as size, growth, poses, and actions. The analysis of animal behaviour holds significant importance in a wide range of domains and industries, such as livestock farming, veterinary sciences, scientific research, ecological and conservation studies.

ISTD
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ISTD PhD Oral Defense Seminar by Gong Jia – Towards data efficient, reliable and flexible 3D digital human modelling

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.

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