Improving the efficiency of thermal covert channels in multi-/many-core systems. - Zijun Long; Xiaohang Wang 001; Yingtao Jiang; Guofeng Cui; Li Zhang; Terrence S. T. Mak (DATE, 2018)

Automated Crisis Content Categorization for COVID-19 Tweet Streams. - Zijun Long; Richard McCreadie (ISCRAM, 2021)

Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? - Zijun Long; Richard McCreadie (ISCRAM, 2022)

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. - Zijun Long; Zaiqiao Meng; Gerardo Aragon-Camarasa; Richard McCreadie (CoRR, 2023)

When hard negative sampling meets supervised contrastive learning. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (CoRR, 2023)

MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (CoRR, 2023)

Large Multi-modal Encoders for Recommendation. - Zixuan Yi; Zijun Long; Iadh Ounis; Craig Macdonald; Richard McCreadie (CoRR, 2023)

Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. - Zijun Long; George Killick; Lipeng Zhuang; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (CoRR, 2023)

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. - Zijun Long; Lipeng Zhuang; George Killick; Zaiqiao Meng; Richard McCreadie; Gerardo Aragon-Camarasa (ECAI, 2024)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. - Zijun Long; Lipeng Zhuang; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (ECCV (54), 2024)

Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICASSP, 2024)

LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. - Zijun Long; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (ICASSP, 2024)

RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICRA, 2024)

CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora. - Zijun Long; Xuri Ge; Richard McCreadie; Joemon M. Jose (SIGIR, 2024)

CrisisViT: A Robust Vision Transformer for Crisis Image Classification. - Zijun Long; Richard McCreadie; Muhammad Imran 002 (CoRR, 2024)

Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. - Zijun Long; Xuri Ge; Richard McCreadie; Joemon M. Jose (CoRR, 2024)

Report on the Collab-a-Thon at ECIR 2024. - Sean MacAvaney; Adam Roegiest; Aldo Lipani; Andrew Parry; Björn Engelmann 002; Christin Katharina Kreutz; Chuan Meng; Erlend Frayling; Eugene Yang; Ferdinand Schlatt; Guglielmo Faggioli; Harrisen Scells; et al. (SIGIR Forum, 2024)

Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (SIGIR, 2025)

Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (CoRR, 2025)

Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders. - Zixuan Yi; Zijun Long; Iadh Ounis; Craig Macdonald; Richard McCreadie (Trans. Recomm. Syst., 2025)