Sequential Pattern Mining with Constraints on Large Protein Databases. - Joshua Ho; Lior Lukov; Sanjay Chawla (COMAD (b), 2005)

User-Centric and Real-Time Activity Recognition Using Smart Glasses. - Joshua Ho; Chien-Min Wang (GPC, 2016)

Explainable and Adaptable Augmentation in Knowledge Attention Network for Multi-Agent Deep Reinforcement Learning Systems. - Joshua Ho; Chien-Min Wang (AIKE, 2020)

Human-Centered AI using Ethical Causality and Learning Representation for Multi-Agent Deep Reinforcement Learning. - Joshua Ho; Chien-Min Wang (ICHMS, 2021)

Learning Adaptation and Generalization from Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Analysis. - Joshua Ho; Chien-Min Wang; Chung-Ta King; Yi-Hsin You; Chi-Wei Feng; Yen-Min Chen; Bo-Yi Kuo (AIKE, 2023)

TEAM: Task-Clustering and Enhanced Adaptability for Meta-Reinforcement Learning on Robotics Through Multi-Task Diffusion and Optimization. - Joshua Ho; Chien-Min Wang; Chung-Ta King; Chi-Wei Feng; Shih-Yun Sunkuan (IRC, 2024)

Pretrained Event Classification Model for High Energy Physics Analysis. - Joshua Ho; Benjamin Ryan Roberts; Shuo Han; Haichen Wang (CoRR, 2024)

Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Enhanced Deep Q-Network. - Joshua Ho; Chien-Min Wang; Chung-Ta King; Yi-Hsin You; Chi-Wei Feng (Int. J. Semantic Comput., 2024)