Zijun Long

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Top Venues

Publications

Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR (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
Report on the Collab-a-Thon at ECIR 2024. SIGIR Forum 58 (1) (2024)
Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR (2024)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. ICASSP (2024)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. ICRA (2024)
Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP (2024)
Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose
Fast and Effective Long-Text To Image Retrieval for Large Corpora. SIGIR (2024)
Zijun Long, Richard McCreadie, Muhammad Imran
CrisisViT: A Robust Vision Transformer for Crisis Image Classification. CoRR (2024)
Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose
Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. CoRR (2024)
Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR (2023)
Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. CoRR (2023)
Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
Large Multi-modal Encoders for Recommendation. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
When hard negative sampling meets supervised contrastive learning. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. CoRR (2023)
Zijun Long, Richard McCreadie
Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? ISCRAM (2022)
Zijun Long, Richard McCreadie
Automated Crisis Content Categorization for COVID-19 Tweet Streams. ISCRAM (2021)
Zijun Long, Xiaohang Wang, Yingtao Jiang, Guofeng Cui, Li Zhang, Terrence S. T. Mak
Improving the efficiency of thermal covert channels in multi-/many-core systems. DATE (2018)