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Tao Yu
Tao Yu
PhD student, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Simplifying graph convolutional networks
F Wu, T Zhang, AH Souza Jr, C Fifty, T Yu, KQ Weinberger
Proceedings of the 36th International Conference on Machine Learning (ICML 2019), 2019
30512019
Salvaging federated learning by local adaptation
T Yu, E Bagdasaryan, V Shmatikov
arXiv preprint arXiv:2002.04758, 2020
2712020
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
T Yu, S Hu, C Guo, WL Chao, KQ Weinberger
Advances in Neural Information Processing Systems, 2019
1262019
Numerically accurate hyperbolic embeddings using tiling-based models
T Yu, CM De Sa
Advances in Neural Information Processing Systems 32, 2019
402019
Understanding hyperdimensional computing for parallel single-pass learning
T Yu, Y Zhang, Z Zhang, CM De Sa
Advances in Neural Information Processing Systems 35, 1157-1169, 2022
202022
Simplifying graph convolutional networks. arXiv 2019
F Wu, T Zhang, AHD Souza Jr, C Fifty, T Yu, KQ Weinberger
arXiv preprint arXiv:1902.07153, 1902
141902
Curvature-based Comparison of Two Neural Networks
T Yu, H Long, J Hopcroft
Proceedings of the 24th International Conference on Pattern Recognition …, 2018
132018
Random Laplacian Features for Learning with Hyperbolic Space
T Yu, C De Sa
Eleventh International Conference on Learning Representations (ICLR 2023), 2022
12*2022
Representing hyperbolic space accurately using multi-component floats
T Yu, CM De Sa
Advances in Neural Information Processing Systems 34, 15570-15581, 2021
112021
The Local Dimension of Deep Manifold
M Zhang, W Wu, Y Zhang, K He, T Yu, H Long, JE Hopcroft
arXiv preprint arXiv:1711.01573, 2017
32017
Shadow Cones: Unveiling Partial Orders in Hyperbolic Space
T Yu, TJB Liu, A Tseng, C De Sa
Twelfth International Conference on Learning Representations (ICLR 2024), 2023
22023
Mctensor: A high-precision deep learning library with multi-component floating-point
T Yu, W Guo, JC Li, T Yuan, C De Sa
arXiv preprint arXiv:2207.08867, 2022
22022
Coneheads: Hierarchy Aware Attention
A Tseng, T Yu, T Liu, CM De Sa
Advances in Neural Information Processing Systems 36, 2024
12024
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images
T Yu, Y Qiao, L Huan
arXiv preprint arXiv:1805.08492, 2018
12018
Simplifying Graph Convolutional Networks (Supplementary Material)
F Wu, T Zhang, AH de Souza Jr, C Fifty, T Yu, KQ Weinberger
Proceedings of the 36th International Conference on Machine Learning (ICML 2019), 0
1
Collage: Light-Weight Low-Precision Strategy for LLM Training
T Yu, G Gupta, K Gopalswamy, A Mamidala, H Zhou, J Huynh, Y Park, ...
arXiv preprint arXiv:2405.03637, 2024
2024
Momentum Approximation in Asynchronous Private Federated Learning
T Yu, C Song, J Wang, M Chitnis
arXiv preprint arXiv:2402.09247, 2024
2024
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