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Hao Liang
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Cited by
Year
Tackling the objective inconsistency problem in heterogeneous federated optimization
J Wang, Q Liu, H Liang, G Joshi, HV Poor
NeurIPS 2020, 2020
9602020
A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning
J Wang, Q Liu, H Liang, G Joshi, HV Poor
IEEE Transactions on Signal Processing, 2021
602021
Overlap local-SGD: An algorithmic approach to hide communication delays in distributed SGD
J Wang, H Liang, G Joshi
ICASSP 2020, 2020
372020
RareGAN: Generating Samples for Rare Classes
Z Lin, H Liang, G Fanti, V Sekar
AAAI 2022, 2022
92022
Controlled AutoEncoders to Generate Faces from Voices
H Liang, L Yu, G Xu, B Raj, R Singh
ISVC 2020, 2020
72020
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
H Liang, P Perona, G Balakrishnan
ICCV 2023, 2023
22023
Study on the Properties of ZnO-TFT Prepared by Magnetron Sputtering
H Liang
Solid State Phenomena, 2018
22018
Visualizing chest X-ray dataset biases using GANs
H Liang, K Ni, G Balakrishnan
MIDL 2023, 2023
12023
Towards causally linking architectural parametrizations to algorithmic bias in neural networks
H Liang, JO Caro, V Maheshri, AB Patel, G Balakrishnan
WACV 2024, 2023
12023
Linking convolutional kernel size to generalization bias in face analysis CNNs
H Liang, JO Caro, V Maheshri, AB Patel, G Balakrishnan
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
X-ray Recognition: Patient identification from X-rays using a contrastive objective
H Liang, K Ni, G Balakrishnan
arXiv preprint arXiv:2305.00149, 2023
2023
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Articles 1–11