Ruijie Jiang

According to our database, Ruijie Jiang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On Neural Collapse in Contrastive Learning with Imbalanced Datasets.

Thuan Nguyen, Ruijie Jiang, Shuchin Aeron, Prakash Ishwar, D. Richard Brown

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Supervised Contrastive Learning with Hard Negative Samples.

Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron

Proceedings of the International Joint Conference on Neural Networks, 2024

Systematic comparison of semi-supervised and self-supervised learning for medical image classification.

Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

On neural and dimensional collapse in supervised and unsupervised contrastive learning with hard negative sampling.

Ruijie Jiang, Thuan Nguyen, Shuchin Aeron, Prakash Ishwar

CoRR, 2023

Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images.

Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes

CoRR, 2023

Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning.

Ruijie Jiang, Prakash Ishwar, Shuchin Aeron

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia.

Yishan Li, Hui Lu, Dara Entekhabi, Daniel J. Short Gianotti, Kun Yang, Caihong Luo, Andrew F. Feldman, Wei Wang, Ruijie Jiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Measure Estimation in the Barycentric Coding Model.

Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy

Proceedings of the International Conference on Machine Learning, 2022

2021

Interpretable contrastive word mover's embedding.

Ruijie Jiang, Julia Gouvea, Eric L. Miller, David Hammer, Shuchin Aeron

CoRR, 2021

2020

Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space.

Ruijie Jiang, Julia Gouvea, David Hammer, Shuchin Aeron

CoRR, 2020