Zhongxiang Dai

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Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporePatvirtintas el. paštas comp.nus.edu.sg
Patrick JailletDugald C. Jackson Professor, EECS, MITPatvirtintas el. paštas mit.edu
Yao SHU (舒瑶)Incoming Assistant Professor, AI Thrust, HKUST (GZ)Patvirtintas el. paštas gml.ac.cn
Yu SUNZhejiang UniversityPatvirtintas el. paštas zju.edu.cn
Xiaoqiang LinNational University of SingaporePatvirtintas el. paštas u.nus.edu
Arun VermaSingapore-MIT Alliance for Research and TechnologyPatvirtintas el. paštas mit.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporePatvirtintas el. paštas nus.edu.sg
Zhaoxuan WuNational University of SingaporePatvirtintas el. paštas u.nus.edu
Flint Xiaofeng FanETH Zurich, NUS, A*STAR International FellowPatvirtintas el. paštas u.nus.edu
Cheston TanInstitute for Infocomm Research; Centre for Frontier AI ResearchPatvirtintas el. paštas i2r.a-star.edu.sg
Haibin YuTikTokPatvirtintas el. paštas tiktok.com
Wenyang HuNational University of SingaporePatvirtintas el. paštas u.nus.edu
Yining MaPostdoctoral Associate, MITPatvirtintas el. paštas mit.edu
Quoc Phong NguyenA2I2 - Deakin UniversityPatvirtintas el. paštas deakin.edu.au
Yuan ZhangStanford UniversityPatvirtintas el. paštas stanford.edu
Teck-Hua HoDistinguished University Professor, Nanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Wei JINGNetEase, Alibaba, A*STAR, CMUPatvirtintas el. paštas alumni.cmu.edu
Gregory Kang Ruey LauNational University of SingaporePatvirtintas el. paštas comp.nus.edu.sg
Xinyang LuNational University of SingaporePatvirtintas el. paštas u.nus.edu
Beng Chin OOINational University of SingaporePatvirtintas el. paštas comp.nus.edu.sg

Stebėti

Zhongxiang Dai

Assistant Professor, The Chinese University of Hong Kong, Shenzhen

Patvirtintas el. paštas cuhk.edu.cn - Pagrindinis puslapis

Machine Learning Data-Centric AI Large Language Models Multi-Armed Bandits Bayesian Optimization


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	147	2017
Federated Bayesian optimization via Thompson sampling Z Dai, BKH Low, P Jaillet Advances in Neural Information Processing Systems (NeurIPS-20) 33, 2020	139	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	120	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	88	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	67	2019
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	59	2017
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
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	51	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	50	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	43	2019
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	35	2020
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
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	28	2023
Federated neural bandits Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet arXiv preprint arXiv:2205.14309, 2022	28	2022
Bayesian Optimization with Binary Auxiliary Information Y Zhang, Z Dai, KH Low 35th Conference on Uncertainty in Artificial Intelligence (UAI-19), 2019	27	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	27	2016
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	22	2020

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