Advancing biosensors with machine learning F Cui, Y Yue, Y Zhang, Z Zhang, HS Zhou ACS sensors 5 (11), 3346-3364, 2020 | 353 | 2020 |
Hyperbolic Chamfer Distance for Point Cloud Completion F Lin, Y Yue, S Hou, X Yu, Y Xu, KD Yamada, Z Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
Hyperbolic Contrastive Learning Y Yue, F Lin, KD Yamada, Z Zhang arXiv preprint arXiv:2302.01409, 2023 | 8 | 2023 |
Deep incremental rnn for learning sequential data: A lyapunov stable dynamical system Z Zhang, G Wu, Y Li, Y Yue, X Zhou 2021 IEEE International Conference on Data Mining (ICDM), 966-975, 2021 | 8 | 2021 |
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization Z Zhang, Y Yue, G Wu, Y Li, H Zhang Advances in Neural Information Processing Systems 34, 25839-25851, 2021 | 4 | 2021 |
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm Y Yue, M Li, V Saligrama, Z Zhang 2020 25th International Conference on Pattern Recognition (ICPR), 10532-10539, 2021 | 3 | 2021 |
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion F Lin*, Y Yue*, Z Zhang, S Hou, K Yamada, VB Kolachalama, V Saligrama Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
Understanding Hyperbolic Metric Learning Through Hard Negative Sampling Y Yue, F Lin, G Mou, Z Zhang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
Robust Variational Autoencoders: Generating Noise-Free Images from Corrupted Images H Ren, Y Yue, C Zhou, RC Paffenroth, Y Li, ML Weiss | | 2018 |