| A data-driven path planning model for crowd capacity analysis SK Tan, N Hu, W Cai Journal of computational science 34, 66-79, 2019 | 9 | 2019 |
| 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 |
| Discrete Markov Random Field Relaxation SK Tan https://vixra.org/abs/2112.0151, 2021 | 3 | 2021 |
| Design Autoencoder using BSnet (BSautonet) SK Tan https://vixra.org/abs/2212.0208, 2022 | 2 | 2022 |
| Boolean Structured Deep Learning Network (BSnet) SK Tan https://vixra.org/abs/2212.0193, 2022 | 2 | 2022 |
| Prove Np not equal P using Markov Random Field and Boolean Algebra Simplification SK Tan https://vixra.org/abs/2105.0181, 2021 | 2 | 2021 |
| Steerable second order intensity features for pedestrian detection SK Tan, TJ Cham, J Wu 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 311-315, 2015 | 2 | 2015 |
| Boolean Structured Convolutional Deep Learning Network (BSconvnet) SK Tan https://vixra.org/abs/2305.0166, 2023 | 1 | 2023 |
| Boolean Structured Autoencoder Convolutional Deep Learning Network (BSautoconvnet) SK Tan | | 2023 |
| Gradient Descent using Fixed Point Theorem SK Tan https://vixra.org/abs/2302.0031, 2023 | | 2023 |
| Algebraic Programming Language SK Tan https://vixra.org/abs/2211.0097, 2022 | | 2022 |
| Linear Formulation of Square Peg Problem Test Function SK Tan https://vixra.org/abs/2207.0068, 2022 | | 2022 |
