Thematic Bottleneck Models for Multimodal Analysis of School Attendance
CIKM (Core Ranked A) 2025
Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan Morton, Kane Meissel, Yun Sing Koh
MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata
ACM MM (Core Ranked A*) 2025
Yuzhuo Li, Di Zhao, Tingrui Qiao, Yihao Wu, Bo Pang, Yun Sing Koh
Building Adaptive Knowledge Bases for Evolving Continual Learning Models
NPJ Artificial Intelligence 2025
Jack Julian, Yun Sing Koh, Albert Bifet
GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction
ICCV (Core Ranked A*) 2025
Bowen Chen, Yun Sing Koh, Gillian Dobbie
Longitudinal Surveys are Texts: LLM-enhanced Analysis of School Attendance in New Zealand
ECML-PKDD (Core Ranked A) 2025
Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan Morton, Kane Meissel, Yun Sing Koh
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation
IJCAI (Core Ranked A*) 2025
Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
IJCAI (Core Ranked A*) 2025
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis
WWW (Core Ranked A*) 2025
Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
LIBRA: Measuring Bias of Large Language Model from a Local Context
ECIR (Core Ranked A) 2025
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh
Sketch-Based Replay Projection for Continual Learning
SIGKDD (Core Ranked A*) 2024
Jack Julian, Yun Sing Koh, Albert Bifet
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand
WWW (Core Ranked A*) 2024
Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh
Symmetric Self-Paced Learning for Domain Generalization
AAAI (Core Ranked A*) 2024
Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitationm
AAAI (Core Ranked A*) 2024
Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B Gibson
Learning After Learning: Positive Backward Transfer in Continual Learning
ECAI (Core Ranked A) 2024
Wern Sen Wong, Yun Sing Koh, Gillian Dobbie
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach
IJCAI (Core Ranked A*) 2024
Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz Lehmann
SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks
ACM MM (Core Ranked A*) 2024
Bowen Chen, Yun Sing Koh, Gillian Dobbie