IPOD: Corpus of 190, 000 Industrial Occupations. - Junhua Liu; Chu Guo; Yung Chuen Ng; Kristin L. Wood; Kwan Hui Lim 001 (CoRR, 2019)

IPOD: A Large-scale Industrial and Professional Occupation Dataset. - Junhua Liu; Yung Chuen Ng; Kristin L. Wood; Kwan Hui Lim 001 (CSCW Companion, 2020)

A Large-scale Industrial and Professional Occupation Dataset. - Junhua Liu; Yung Chuen Ng; Kwan Hui Lim 001 (CoRR, 2020)

Real-time Digital Double Framework to Predict Collapsible Terrains for Legged Robots. - Garen Haddeler; Hari P. Palanivelu; Yung Chuen Ng; Fabien Colonnier; Albertus H. Adiwahono; Zhibin Li 001; Chee-Meng Chew; Meng Yee Chuah (IROS, 2022)

Title2Vec: a contextual job title embedding for occupational named entity recognition and other applications. - Junhua Liu; Yung Chuen Ng; Zitong Gui; Trisha Singhal; Luciënne T. M. Blessing; Kristin L. Wood; Kwan Hui Lim 001 (J. Big Data, 2022)

Real-time terrain anomaly perception for safe robot locomotion using a digital double framework. - Garen Haddeler; Hari P. Palanivelu; Fabien Colonnier; Yung Chuen Ng; Albertus H. Adiwahono; Zhibin Li 001; Chee-Meng Chew; Meng Yee Michael Chuah (Robotics Auton. Syst., 2023)

Tactile Aware Dynamic Obstacle Avoidance in Crowded Environment with Deep Reinforcement Learning. - Yung Chuen Ng; Qi Wen Lim; Chun Ye Tan; Zhen Hao Gan; Meng Yee Chuah (CoRR, 2024)