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Zhongxiang Dai
Zhongxiang Dai
Assistant Professor, The Chinese University of Hong Kong, Shenzhen
Verifierad e-postadress på cuhk.edu.cn - Startsida
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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
1522018
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
1472017
Federated Bayesian optimization via Thompson sampling
Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems (NeurIPS-20) 33, 2020
1392020
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
1202017
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
882021
Bayesian optimization meets Bayesian optimal stopping
Z Dai, H Yu, BKH Low, P Jaillet
International Conference on Machine Learning (ICML-19), 1496-1506, 2019
662019
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
582017
Differentially private federated Bayesian optimization with distributed exploration
Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 34, 9125-9139, 2021
572021
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
502021
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
502017
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
432019
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
352020
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
342022
Value-at-risk optimization with Gaussian processes
QP Nguyen, Z Dai, BKH Low, P Jaillet
International Conference on Machine Learning, 8063-8072, 2021
342021
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
272023
Bayesian Optimization with Binary Auxiliary Information
Y Zhang, Z Dai, KH Low
35th Conference on Uncertainty in Artificial Intelligence (UAI-19), 2019
272019
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
272016
Federated neural bandits
Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet
arXiv preprint arXiv:2205.14309, 2022
262022
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
242021
Private outsourced Bayesian optimization
D Kharkovskii, Z Dai, BKH Low
International Conference on Machine Learning (ICML-20), 5231-5242, 2020
222020
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Artiklar 1–20