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Congratulations to Associate Professor Liu Xiaogang’s PhD Student in winning the Royal Society of Chemistry (RSC) Excellent Student Award

He was honored with the “Winner of RSC Excellent Student Award” by the Royal Society of Chemistry (RSC) this September. This award recognizes his academic excellence in leveraging computational chemistry to facilitate interdisciplinary research and his contribution to promoting diversity, equity, inclusion, and respect (DEIR) within the scientific community.

 

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ISTD PhD Oral Defense presented by Ms. Menglin Li – Leveraging Pre-trained Language Models for Social Geolocation

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

ISTD PhD Oral Defense 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.

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

ISTD PhD Oral Defense 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.

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ISTD PhD Oral Defense Seminar by Zhu Lanyun – Towards Data Efficient and Continual Semantic Segmentation

Semantic segmentation is a fundamental and important task in computer vision, which aims to classify each pixel in an image. The rapid development of deep learning has significantly advanced semantic segmentation and improved the accuracy, promoting its application in fields with high accuracy requirements for pixel-level prediction, such as autonomous driving and medical diagnosis. Current works for semantic segmentation are typically based on a standard setup that all data is accessible beforehand and can be learned simultaneously. […]

ISTD
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ISTD PhD Oral Defense Seminar by Dai Siyang – Urban Intelligence: Machine Learning for Human and Environmental

Urbanization has given rise to increasingly complex systems that sustain and manage the lives of urban residents. As populations grow, the challenges of managing traffic, overcrowding, and environmental challenges escalate. These complexities place stress on urban ecosystems, demanding innovative solutions to ensure smooth and sustainable operations.

ISTD
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Congratulations to Assistant Professor Soujanya Poria and his PhD Student Bhardwaj Rishabh for winning Gemma Academic Program GCP credit award

Congratulations to Assistant Professor Soujanya Poria and his PhD Student Bhardwaj Rishabh for winning Gemma Academic Program GCP credit award

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Congratulations to Assistant Professor Simon Perrault and his PhD student Gionnieve Lim for winning the Steve Howard Best Student Paper Award

OzCHI is the annual non-profit conference for the Computer-Human Interaction Special Interest Group (CHISIG) and Australia’s leading forum for the latest in HCI research and practice. OzCHI attracts a broad international community of researchers, industry practitioners, academics and students.

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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 Hu Zhiqiang – Learning text styles: a study on transfer, attribution, and verification

ISTD PhD Oral Defence Seminar by Hu Zhiqiang – This thesis advances the computational understanding and manipulation of text styles
through three interconnected pillars: (1) Text Style Transfer (TST); (2) Authorship Attribution (AA); and (3) Authorship Verification (AV), determining whether two texts share the same authorship.

ISTD
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