| Effects of uncertainty and cognitive load on user trust in predictive decision making J Zhou, SZ Arshad, S Luo, F Chen Human-Computer Interaction–INTERACT 2017: 16th IFIP TC 13 International …, 2017 | 48 | 2017 |
| Effects of personality traits on user trust in human–machine collaborations J Zhou, S Luo, F Chen Journal on Multimodal User Interfaces, 1-14, 2020 | 25 | 2020 |
| Efficient EM-variational inference for nonparametric Hawkes process F Zhou, S Luo, Z Li, X Fan, Y Wang, A Sowmya, F Chen Statistics and Computing 31 (4), 46, 2021 | 14 | 2021 |
| Indexing cognitive load using blood volume pulse features J Zhou, SZ Arshad, S Luo, K Yu, S Berkovsky, F Chen Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017 | 11 | 2017 |
| Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions S Luo, M Sugiyama The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 10 | 2019 |
| A multivariate clustering approach for infrastructure failure predictions S Luo, VW Chu, J Zhou, F Chen, RK Wong, W Huang 2017 IEEE International Congress on Big Data (BigData Congress), 274-281, 2017 | 8 | 2017 |
| BVP feature signal analysis for intelligent user interface S Luo, J Zhou, HBL Duh, F Chen Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017 | 7 | 2017 |
| Development of a Control and Vision Interface for an AR. Drone P Cheema, S Luo, P Gibbens MATEC Web of Conferences 56, 07002, 2016 | 6 | 2016 |
| Semi-supervised learning approach to generate neuroimaging modalities with adversarial training H Nguyen, S Luo, F Ramos Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 5 | 2020 |
| Multitask learning for sparse failure prediction S Luo, VW Chu, Z Li, Y Wang, J Zhou, F Chen, RK Wong Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 5 | 2019 |
| Hierarchical probabilistic model for blind source separation via legendre transformation S Luo, L Azizi, M Sugiyama Uncertainty in Artificial Intelligence, 312-321, 2021 | 3 | 2021 |
| Mandera: Malicious node detection in federated learning via ranking W Zhu, BZH Zhao, S Luo, T Liu, K Deng arXiv preprint arXiv:2110.11736, 2021 | 2 | 2021 |
| Additive poisson process: Learning intensity of higher-order interaction in stochastic processes S Luo, F Zhou, L Azizi, M Sugiyama arXiv preprint arXiv:2006.08982, 2020 | 2 | 2020 |
| On the use of matrix profiles and optimal transport theory for multivariate time series anomaly detection within structural health monitoring P Cheema, MM Alamdari, G Vio, L Azizi, S Luo Mechanical Systems and Signal Processing 204, 110797, 2023 | 1 | 2023 |
| Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds S Luo, F Zhou, L Azizi, M Sugiyama NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020 | 1 | 2020 |
| Effects of Personality Traits on User Trust in Predictive Decision Making J Zhou, S Luo, F Chen Journal on Multimodal User Interfaces, 2020 | 1 | 2020 |
| Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction S Luo, VW Chu, Z Li, Y Wang, J Zhou, F Chen, RK Wong | 1 | 2020 |
| Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence Y Chang, Z Li, L Luo, S Luo, A Sowmya, Y Wang, F Chen International Conference on Neural Information Processing, 432-444, 2019 | 1 | 2019 |
| Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Poisson Processes S Luo, F Zhou, M Sugiyama | | 2021 |
| A Deep Architecture for Log-Linear Models S Luo, S Cripps, M Sugiyama NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020 | | 2020 |
Jianlong ZhouUniversity of Technology Sydney (UTS)Verified email at uts.edu.au
