Zijun Long

According to our database, Zijun Long authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Report on the Collab-a-Thon at ECIR 2024.

Sean MacAvaney, Adam Roegiest, Aldo Lipani, Andrew Parry, Björn Engelmann, Christin Katharina Kreutz, Chuan Meng, Erlend Frayling, Eugene Yang, Ferdinand Schlatt, Guglielmo Faggioli, Harrisen Scells, Iana Atanassova, Jana Friese, Janek Bevendorff, Javier Sanz-Cruzado, Johanne Trippas, Kanaad Pathak, Kaustubh D. Dhole, Leif Azzopardi, Maik Fröbe, Marc Bertin, Nishchal Prasad, Saber Zerhoudi, Shuai Wang, Shubham Chatterjee, Thomas Jänich, Udo Kruschwitz, Xi Wang, Zijun Long

SIGIR Forum, June, 2024

Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries.

Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose

CoRR, 2024

CrisisViT: A Robust Vision Transformer for Crisis Image Classification.

Zijun Long, Richard McCreadie, Muhammad Imran

CoRR, 2024

<i>CFIR: </i> Fast and Effective Long-Text To Image Retrieval for Large Corpora.

Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models.

Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers.

Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng

Proceedings of the IEEE International Conference on Acoustics, 2024

Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval.

Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa

Proceedings of the IEEE International Conference on Acoustics, 2024

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning.

Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

Large Multi-modal Encoders for Recommendation.

Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie

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

When hard negative sampling meets supervised contrastive learning.

Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng

CoRR, 2023

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers.

Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie

CoRR, 2023

2022

Is Multi-Modal Data Key for Crisis Content Categorization on Social Media?

Zijun Long, Richard McCreadie

Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 2022

2021

Automated Crisis Content Categorization for COVID-19 Tweet Streams.

Zijun Long, Richard McCreadie

Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

2018

Improving the efficiency of thermal covert channels in multi-/many-core systems.

Zijun Long, Xiaohang Wang, Yingtao Jiang, Guofeng Cui, Li Zhang, Terrence S. T. Mak

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018