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Han Yu

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LEAVES: Learning Views for Time-Series Data in Contrastive Learning

Oct 13, 2022
Han Yu, Huiyuan Yang, Akane Sano

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Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning

Oct 13, 2022
Huiyuan Yang, Han Yu, Akane Sano

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Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

Oct 06, 2022
Xu Guo, Boyang Li, Han Yu

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FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning

Aug 10, 2022
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu

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Bias Reducing Multitask Learning on Mental Health Prediction

Aug 07, 2022
Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano

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NICO++: Towards Better Benchmarking for Domain Generalization

Apr 21, 2022
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

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Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild

Feb 22, 2022
Han Yu, Akane Sano

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More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

Feb 16, 2022
Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano

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Towards Verifiable Federated Learning

Feb 15, 2022
Yanci Zhang, Han Yu

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Federated Graph Neural Networks: Overview, Techniques and Challenges

Feb 15, 2022
Rui Liu, Han Yu

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