Coffee Break and Posters Session 2

Start: 15:05 UTC

Finish: 16:05 UTC

Location: Dhani Prem/Mary Sturge Room, Catering Lounge

A chance to drink coffee and see the posters being presented by the conference’s participants.

Posters format: A0 or A1 with portrait orientation.

Board Poster Author Institution
1 Beyond Skin Deep: Augmenting Co-Design for Aesthetic Prosthetics with Dance Data and AI Feng Zhou University of Nottingham
1 Domestic Renewable Energy Utilisation Via Hybrid Battery Systems Jan Buermann University of Southampton
2 Improving CNN Efficiency: Passive Filter Pruning via Centrality Measures for Audio Applications James King University of Surrey
2 Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring Jiazheng Li King’s College London
2 DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning Qingjie Meng University of Birmingham
3 Learning Confidence Bounds for Classification with Imbalanced Data Matt Clifford University of Bristol
3 AI Skills for Business: Developing the UK’s Competency Framework for a Resilient Data Science and AI Profession Matthew Forshaw The Alan Turing Institute and Newcastle University
4 Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck University of Warwick
4 Less is more: Optimizing Selective Adapter Insertion for Federated Fine-tuning of Vision-Language Models Pramit Saha University of Oxford
4 PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games Qinglin Zhu King’s College London
5 Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives Runcong Zhao King’s College London
5 Supporting Nontraditional High Performance Compute Users to Benchmark and Run Deep Learning and Large Language Models on Tier 2 Systems Simon Hartley Birmingham University
6 Somabotics: Creatively Embodying AI Steve Benford University of Nottingham
6 The London Air Quality Digital Twin Sueda Ciftci University of Warwick
6 No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation Shishen Lin University of Birmingham
7 Relatively Rational: Learning of Utilities and Rationalities Jointly from Pairwise Preferences Taku Yamagata University of Bristol
7 Enhancing Word Complexity Prediction Through Contextual Analysis Muhammad Uzzam Aston University
7 Learning to Cooperate under Private Rewards Yue Jin University of Warwick
8 Towards Citizen-Centric Multiagent Systems Based on Large Language Models Zhaoxing Li University of Southampton
8 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis Yuxiang Zhou King’s College London