| Functional connectivity analysis of mental fatigue reveals different network topological alterations between driving and vigilance tasks GN Dimitrakopoulos, I Kakkos, Z Dai, H Wang, K Sgarbas, N Thakor, ... IEEE transactions on neural systems and rehabilitation engineering 26 (4 …, 2018 | 152 | 2018 |
| Task-independent mental workload classification based upon common multiband EEG cortical connectivity GN Dimitrakopoulos, I Kakkos, Z Dai, J Lim, JJ deSouza, A Bezerianos, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017 | 146 | 2017 |
| Federated Bayesian optimization via Thompson sampling Z Dai, BKH Low, P Jaillet Advances in Neural Information Processing Systems (NeurIPS-20) 33, 2020 | 136 | 2020 |
| EEG cortical connectivity analysis of working memory reveals topological reorganization in theta and alpha bands Z Dai, J De Souza, J Lim, PM Ho, Y Chen, J Li, N Thakor, A Bezerianos, ... Frontiers in human neuroscience 11, 237, 2017 | 122 | 2017 |
| Fault-tolerant federated reinforcement learning with theoretical guarantee X Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low Advances in Neural Information Processing Systems 34, 1007-1021, 2021 | 85 | 2021 |
| Bayesian optimization meets Bayesian optimal stopping Z Dai, H Yu, BKH Low, P Jaillet International Conference on Machine Learning (ICML-19), 1496-1506, 2019 | 69 | 2019 |
| Differentially private federated Bayesian optimization with distributed exploration Z Dai, BKH Low, P Jaillet Advances in Neural Information Processing Systems 34, 9125-9139, 2021 | 57 | 2021 |
| Modular‐level alterations of structure–function coupling in schizophrenia connectome Y Sun, Z Dai, J Li, SL Collinson, K Sim Human brain mapping 38 (4), 2008-2025, 2017 | 57 | 2017 |
| NASI: Label-and data-agnostic neural architecture search at initialization Y Shu, S Cai, Z Dai, BC Ooi, BKH Low arXiv preprint arXiv:2109.00817, 2021 | 50 | 2021 |
| The effects of a mid-task break on the brain connectome in healthy participants: A resting-state functional MRI study Y Sun, J Lim, Z Dai, KF Wong, F Taya, Y Chen, J Li, N Thakor, ... Neuroimage 152, 19-30, 2017 | 49 | 2017 |
| Implicit posterior variational inference for deep Gaussian processes H Yu, Y Chen, Z Dai, KH Low, P Jaillet Advances in Neural Information Processing Systems (NeurIPS-19) 32, 2019 | 45 | 2019 |
| Unifying and boosting gradient-based training-free neural architecture search Y Shu, Z Dai, Z Wu, BKH Low Advances in Neural Information Processing Systems 35, 33001-33015, 2022 | 34 | 2022 |
| Value-at-risk optimization with Gaussian processes QP Nguyen, Z Dai, BKH Low, P Jaillet International Conference on Machine Learning, 8063-8072, 2021 | 34 | 2021 |
| R2-B2: Recursive reasoning-based Bayesian optimization for no-regret learning in games Z Dai, Y Chen, BKH Low, P Jaillet, TH Ho International Conference on Machine Learning (ICML-20), 2291-2301, 2020 | 34 | 2020 |
| Federated neural bandits Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet arXiv preprint arXiv:2205.14309, 2022 | 26 | 2022 |
| Bayesian Optimization with Binary Auxiliary Information Y Zhang, Z Dai, KH Low 35th Conference on Uncertainty in Artificial Intelligence (UAI-19), 2019 | 26 | 2019 |
| Temporal efficiency evaluation and small-worldness characterization in temporal networks Z Dai, Y Chen, J Li, J Fam, A Bezerianos, Y Sun Scientific reports 6 (1), 34291, 2016 | 26 | 2016 |
| Use your instinct: Instruction optimization using neural bandits coupled with transformers X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low arXiv preprint arXiv:2310.02905, 2023 | 24 | 2023 |
| Optimizing conditional value-at-risk of black-box functions QP Nguyen, Z Dai, BKH Low, P Jaillet Advances in Neural Information Processing Systems 34, 4170-4180, 2021 | 24 | 2021 |
| Private outsourced Bayesian optimization D Kharkovskii, Z Dai, BKH Low International Conference on Machine Learning (ICML-20), 5231-5242, 2020 | 23 | 2020 |
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeEmail verificata su comp.nus.edu.sg