| Impacts of land use and amenities on public transport use, urban planning and design N Hu, EF Legara, KK Lee, GG Hung, C Monterola Land use policy 57, 356-367, 2016 | 101 | 2016 |
| Density-based evolutionary framework for crowd model calibration J Zhong, N Hu, W Cai, M Lees, L Luo Journal of Computational Science 6, 11-22, 2015 | 45 | 2015 |
| Simulation-based optimization of StarCraft tactical AI through evolutionary computation N Othman, J Decraene, W Cai, N Hu, MYH Low, A Gouaillard 2012 IEEE conference on computational intelligence and games (CIG), 394-401, 2012 | 39 | 2012 |
| A computational model of situation awareness for MOUT simulations SP Ting, S Zhou, N Hu 2010 International Conference on Cyberworlds, 142-149, 2010 | 19 | 2010 |
| Data-driven microscopic traffic modelling and simulation using dynamic lstm H Naing, W Cai, N Hu, T Wu, L Yu Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced …, 2021 | 16 | 2021 |
| Guide them through: An automatic crowd control framework using multi-objective genetic programming N Hu, J Zhong, JT Zhou, S Zhou, W Cai, C Monterola Applied Soft Computing 66, 90-103, 2018 | 16 | 2018 |
| A pattern-based modeling framework for simulating human-like pedestrian steering behaviors N Hu, MH Lees, S Zhou Proceedings of the 19th ACM Symposium on Virtual Reality Software and …, 2013 | 13 | 2013 |
| A data-driven path planning model for crowd capacity analysis SK Tan, N Hu, W Cai Journal of computational science 34, 66-79, 2019 | 10 | 2019 |
| Spatial‐temporal patterns and pedestrian simulation N Hu, S Zhou, Z Wu, M Zhou, BEK Cho Computer Animation and Virtual Worlds 21 (3‐4), 387-399, 2010 | 8 | 2010 |
| Modeling trajectories with multi-task learning K Liu, S Ruan, Q Xu, C Long, N Xiao, N Hu, L Yu, SJ Pan 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 208-213, 2022 | 7 | 2022 |
| Surrogate assisted calibration framework for crowd model calibration W Yi, J Zhong, S Tan, W Cai, N Hu 2017 Winter Simulation Conference (WSC), 1216-1227, 2017 | 7 | 2017 |
| Data-driven agent-based simulation for pedestrian capacity analysis SK Tan, N Hu, W Cai Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 5 | 2018 |
| Entropy based modelling for estimating demographic trends G Li, D Zhao, Y Xu, SH Kuo, HY Xu, N Hu, G Zhao, C Monterola Plos one 10 (9), e0137324, 2015 | 5 | 2015 |
| Spatio-temporal patterns and pedestrian simulation N Hu | 4 | 2014 |
| Effective crowd control through adaptive evolution of agent-based simulation models N Hu, J Decraene, W Cai Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 4 | 2012 |
| Pattern based motion for crowd simulation N Hu, M Lees, S Zhou, V Viswanathan T Transactions on edutainment VI, 99-110, 2011 | 4 | 2011 |
| Generating full spatiotemporal vehicular paths: A data fusion approach N Xiao, N Hu, L Yu, C Long Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |
| Generating situation awareness for time critical decision making SP Ting, S Zhou, N Hu Transactions on computational science XII, 183-205, 2011 | 2 | 2011 |
| Entropy Based Modelling for Estimating Demographic Trends C Monterola, G Li, D Zhao, Y Xu, SH Kuo, HY Xu, N Hu, G Zhao | | 2015 |
