Deep-Learning-Based Diagnosis of Cassava Leaf Diseases Using Vision Transformer. - Lipeng Zhuang (AICCC, 2021)

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)

Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation. - Lipeng Zhuang; Shiyu Fan; Yingdong Ru; Florent P. Audonnet; Paul Henderson; Gerardo Aragon-Camarasa (CoRR, 2024)

Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation? - Yingdong Ru; Lipeng Zhuang; Zhuo He; Florent P. Audonnet; Gerardo Aragon-Camarasa (CoRR, 2025)