Sparse Gaussian process regression in real-time myoelectric control. - Myong Chol Jung; Rifai Chai; Jinchuan Zheng; Hung Tan Nguyen 001 (Int. J. Model. Identif. Control., 2021)

Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (NeurIPS, 2022)

Enhanced myoelectric control against arm position change with weighted recursive Gaussian process. - Myong Chol Jung; Rifai Chai; Jinchuan Zheng; Hung T. Nguyen 001 (Neural Comput. Appl., 2022)

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Lan Du 002 (NeurIPS, 2023)

Multimodal Neural Processes for Uncertainty Estimation. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (CoRR, 2023)

Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking. - Tianyu Zhu; Myong Chol Jung; Jesse Clark (CoRR, 2024)

Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs. - Myong Chol Jung; He Zhao 001; Joanna Dipnall; Belinda Gabbe; Lan Du 002 (CoRR, 2024)

Navigating Conflicting Views: Harnessing Trust for Learning. - Jueqing Lu; Lan Du 002; Wray L. Buntine; Myong Chol Jung; Joanna Dipnall; Belinda Gabbe (CoRR, 2024)

Personalised Outfit Recommendation via History-aware Transformers. - Myong Chol Jung; Julien Monteil; Philip Schulz; Volodymyr Vaskovych (WSDM, 2025)

Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking. - Tianyu Zhu 001; Myong Chol Jung; Jesse Clark (WWW (Companion Volume), 2025)