nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles. - Holger Caesar; Juraj Kabzan; Kok Seang Tan; Whye Kit Fong; Eric M. Wolff; Alex H. Lang; Luke Fletcher; Oscar Beijbom; Sammy Omari (CoRR, 2021)

Bidirectional Long Short-Term Memory with Temporal Dense Sampling for human action recognition. - Kok Seang Tan; Kian-Ming Lim; Chin-Poo Lee; Lee Chung Kwek (Expert Syst. Appl., 2022)

Fine-Tuned Temporal Dense Sampling with 1D Convolutional Neural Network for Human Action Recognition. - Kian-Ming Lim; Chin-Poo Lee; Kok Seang Tan; Ali Alqahtani 001; Mohammed Ali (Sensors, 2023)

Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving. - Napat Karnchanachari; Dimitris Geromichalos; Kok Seang Tan; Nanxiang Li; Christopher Eriksen; Shakiba Yaghoubi; Noushin Mehdipour; Gianmarco Bernasconi; Whye Kit Fong; Yiluan Guo; Holger Caesar (ICRA, 2024)

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software. - Satoshi Tanaka; Samrat Thapa; Kok Seang Tan; Amadeusz Szymko; Lobos Kenzo; Koji Minoda; Shintaro Tomie; Kotaro Uetake; Guolong Zhang; Isamu Yamashita; Takamasa Horibe (CoRR, 2025)