Wei-Wei Tu
Wei-Wei Tu
Nanjing University, ChaLearn
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Cited by
Cited by
Automated machine learning: methods, systems, challenges
F Hutter, L Kotthoff, J Vanschoren
Springer Nature, 2019
Taking Human out of Learning Applications: A Survey on Automated Machine Learning
YY Quanming Yao, Mengshuo Wang, Yuqiang Chen, Wenyuan Dai, Yu-Feng Li, Wei ..., 2018
Analysis of the automl challenge series
I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ...
Automated Machine Learning 177, 177-219, 2019
Efficient neural architecture search via proximal iterations
Q Yao, J Xu, WW Tu, Z Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6664-6671, 2020
Autocross: Automatic feature crossing for tabular data in real-world applications
Y Luo, M Wang, H Zhou, Q Yao, WW Tu, Y Chen, W Dai, Q Yang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Search to aggregate neighborhood for graph neural network
Z Huan, YAO Quanming, TU Weiwei
2021 IEEE 37th International Conference on Data Engineering (ICDE), 552-563, 2021
Robust long-tailed learning under label noise
T Wei, JX Shi, WW Tu, YF Li
arXiv preprint arXiv:2108.11569, 2021
Sadam: A variant of adam for strongly convex functions
G Wang, S Lu, W Tu, L Zhang
arXiv preprint arXiv:1905.02957, 2019
Towards automated semi-supervised learning
YF Li, H Wang, T Wei, WW Tu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4237-4244, 2019
Multi-fidelity automatic hyper-parameter tuning via transfer series expansion
YQ Hu, Y Yu, WW Tu, Q Yang, Y Chen, W Dai
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3846-3853, 2019
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform
Z Xu, S Escalera, A Pavao, M Richard, WW Tu, Q Yao, H Zhao, I Guyon
Patterns 3 (7), 2022
Towards AutoML in the presence of Drift: first results
JG Madrid, HJ Escalante, EF Morales, WW Tu, Y Yu, L Sun-Hosoya, ...
arXiv preprint arXiv:1907.10772, 2019
Projection-free Distributed Online Convex Optimization with $ O (\sqrtT) $ Communication Complexity
Y Wan, WW Tu, L Zhang
International conference on machine learning, 9818-9828, 2020
Network on network for tabular data classification in real-world applications
Y Luo, H Zhou, WW Tu, Y Chen, W Dai, Q Yang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
C Palmero, G Barquero, JCSJ Junior, A Clapés, J Núnez, D Curto, ...
Understanding Social Behavior in Dyadic and Small Group Interactions, 4-52, 2022
COVID-19 asymptomatic infection estimation
Y Yu, YR Liu, FM Luo, WW Tu, DC Zhan, G Yu, ZH Zhou
medRxiv, 2020.04. 19.20068072, 2020
Didn’t see that coming: a survey on non-verbal social human behavior forecasting
G Barquero, J Núnez, S Escalera, Z Xu, WW Tu, I Guyon, C Palmero
Understanding Social Behavior in Dyadic and Small Group Interactions, 139-178, 2022
Towards automated deep learning: Analysis of the autodl challenge series 2019
Z Liu, Z Xu, S Rajaa, M Madadi, JCSJ Junior, S Escalera, A Pavao, ...
NeurIPS 2019 Competition and Demonstration Track, 242-252, 2020
Taking human out of learning applications: a survey on automated machine learning (2018)
Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu
arXiv preprint arXiv:1810.13306, 1810
Dual adaptivity: A universal algorithm for minimizing the adaptive regret of convex functions
L Zhang, G Wang, WW Tu, W Jiang, ZH Zhou
Advances in Neural Information Processing Systems 34, 24968-24980, 2021
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