Segui
Feng Hong
Titolo
Citata da
Citata da
Anno
Long-Tailed Partial Label Learning via Dynamic Rebalancing
F Hong, J Yao, Z Zhou, Y Zhang, Y Wang
International Conference on Learning Representations (ICLR), 2023
332023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
G Holste, Y Zhou, S Wang, A Jaiswal, M Lin, S Zhuge, Y Yang, D Kim, ...
Medical Image Analysis (MedIA), 2024
19*2024
Combating Representation Learning Disparity with Geometric Harmonization
Z Zhou, J Yao, F Hong, Y Zhang, B Han, Y Wang
Conference on Neural Information Processing Systems (NeurIPS) Spotlight, 2023
112023
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
T Dai, R Zhang, F Hong, J Yao, Y Zhang, Y Wang
IEEE Transactions on Medical Imaging (TMI), 2024
72024
On Harmonizing Implicit Subpopulations
F Hong, J Yao, Y Lyu, Z Zhou, I Tsang, Y Zhang, Y Wang
International Conference on Learning Representations (ICLR), 2024
62024
Diversified Batch Selection for Training Acceleration
F Hong, Y Lyu, J Yao, Y Zhang, IW Tsang, Y Wang
International Conference on Machine Learning (ICML), 2024
32024
Balanced destruction-reconstruction dynamics for memory-replay class incremental learning
Y Zhou, J Yao, F Hong, Y Zhang, Y Wang
IEEE Transactions on Image Processing (TIP), 2024
22024
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
F Hong*, T Dai*, J Yao, Y Zhang, Y Wang
ICCVW 2023 CVAMD, 2023
12023
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
J Luo*, F Hong*, J Yao, B Han, Y Zhang, Y Wang
Conference on Neural Information Processing Systems (NeurIPS), 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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