Events
Towards trustworthy deployable LLM-centric AI systems
ISTD Seminar by Wang Dongxia – This talk presents our recent efforts to bridge gaps, ranging from human-aligned LLM safety/over-safety evaluation and enhancement, region-aware AI social value study, mechanism reliability investigation to downstream industrial applications, collectively advancing trustworthy deployable LLM-centric AI.
Docker Fundamentals Series with Dell Technologies
ISTD COIL Seminar – Learn to build, run, and deploy your applications anywhere using containers. Through the 2 guest lectures & online learning course, you will be able to explain the fundamentals of Docker and containerisation.
ISTD Student Merit Award Ceremony 2025
We celebrated our students’ success with our ISTD Student Merit Award Ceremony filled with applause and proud smiles.
Data in the era of algorithms: looking beyond the obvious
ISTD Seminar by Subhajit Datta – We live in an era of algorithms. Our digital footprints let algorithms decide which doors will open for us, both literally and figuratively.
Software engineering in the age of generative artificial intelligence: challenges and opportunities
ISTD Seminar by Subhajit Datta – Software systems are everywhere. Over the past few decades, we have increasingly come to depend on these systems for our needs.
Beyond benchmarks: measuring and strengthening generalisable reasoning in large language models
ISTD PhD Oral Defence Seminar by Hong Pengfei – This thesis addresses critical questions surrounding the evaluation and enhancement of reasoning robustness, generalisability, and comprehensiveness in modern language models, particularly under realistic conditions involving noise, ambiguity, domain shifts, and multimodal inputs.
Towards expressive, robust and generalisable multimodal learning
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.
Multilevel diffusion-based domain adaptation: image, pixel, and category
ISTD PhD Oral Defence Seminar by Duo Peng – In this paper, we investigate Diffusion-Based Domain Adaptation, leveraging emerging
diffusion models to address domain adaptation tasks. The motivation behind our research stems from the powerful distribution transformation capabilities of diffusion models, which we aim to harness to help AI models adapt to new data distributions.
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.
50.047 Mobile Robotics Course – Autonomous Race Car Challenge 2025
Our Autonomous Race Car Challenge is BACK! Do join our students from 50.047 Mobile Robotics Course as they showcase their fundamental algorithm design and programming skills in this challenge!
