Richard Kwok Kit Yuen

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A deep-learning-based approach for simulating pedestrian turning flow.
Expert Syst. Appl.
Nan Jiang, Eric Wai Ming Lee, Lizhong Yang, Richard Kwok Kit Yuen, Chunjie Zhai
2025 J jnl
FAM-LSTM: Predicting Macroscopic Pedestrian Dynamics Through Data-Driven Method.
IEEE Trans. Intell. Transp. Syst.
Nan Jiang, Eric Wai Ming Lee, Xintong Li, Hanchen Yu, Wei Xie, Lizhong Yang, Richard Kwok Kit Yuen, Guan Heng Yeoh
2025 J jnl
Machine learning methods in microscopic pedestrian and evacuation dynamics simulation: a comparative study.
Simul. Model. Pract. Theory
Nan Jiang, Hanchen Yu, Eric Wai Ming Lee, Hongyun Yang, Lizhong Yang, Richard Kwok Kit Yuen
2023 J jnl
Modeling the Pedestrian Flow Before Bottleneck Through Learning-Based Method.
IEEE Trans. Intell. Transp. Syst.
Nan Jiang, Lizhong Yang, Richard Kwok Kit Yuen, Chunjie Zhai
2019 J jnl
An Intelligence-Based Approach for Prediction of Microscopic Pedestrian Walking Behavior.
IEEE Trans. Intell. Transp. Syst.
Yi Ma, Eric Wai Ming Lee, Zuo-An Hu, Meng Shi, Richard Kwok Kit Yuen
2016 J jnl
An Artificial Intelligence-Based Approach for Simulating Pedestrian Movement.
IEEE Trans. Intell. Transp. Syst.
Yi Ma, Eric Wai Ming Lee, Richard Kwok Kit Yuen
2013 J jnl
An Intelligence-Based Optimization Model of Passenger Flow in a Transportation Station.
IEEE Trans. Intell. Transp. Syst.
J. K. K. Yuen, Eric Wai Ming Lee, S. M. Lo, Richard Kwok Kit Yuen
2008 J jnl
Graph theory-based approach for automatic recognition of CAD data.
Eng. Appl. Artif. Intell.
H. C. Huang, S. M. Lo, G. S. Zhi, Richard Kwok Kit Yuen
2004 J jnl
A hybrid neural network model for noisy data regression.
IEEE Trans. Syst. Man Cybern. Part B
Eric Wai Ming Lee, Chee Peng Lim, Richard Kwok Kit Yuen, S. M. Lo
2004 J jnl
Fusion of GRNN and FA for Online Noisy Data Regression.
Neural Process. Lett.
Richard Kwok Kit Yuen, Eric Wai Ming Lee, Chee Peng Lim, Grace W. Y. Cheng
2002 J jnl
Probabilistic inference with maximum entropy for prediction of flashover in single compartment fire.
Adv. Eng. Informatics
Eric Wai Ming Lee, Richard Kwok Kit Yuen, S. M. Lo, K. C. Lam