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Qiying Yu
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Emu series: Generative Multimodal Models are Scalable In-Context Learners
Q Sun*, Q Yu*, Y Cui*, F Zhang*, X Zhang*, Z Luo, Y Wang, H Gao, ...
ICLR 2024 & CVPR 2024, 2023
111*2023
Multimodal Federated Learning via Contrastive Representation Ensemble
Q Yu, Y Liu, Y Wang, K Xu, J Liu
International Conference on Learning Representations (ICLR), 2023, 2023
432023
Adversarial Contrastive Learning via Asymmetric InfoNCE
Q Yu, J Lou, X Zhan, Q Li, W Zuo, Y Liu, J Liu
European Conference on Computer Vision (ECCV), 2022, 2022
162022
Capsfusion: Rethinking image-text data at scale
Q Yu*, Q Sun*, X Zhang, Y Cui, F Zhang, X Wang, J Liu
Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2023
72023
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Q Sun*, J Wang*, Q Yu*, Y Cui, F Zhang, X Zhang, X Wang
arXiv preprint arXiv:2402.04252, 2024
52024
Multimodal Molecular Pretraining via Modality Blending
Q Yu*, Y Zhang*, Y Ni, S Feng, Y Lan, H Zhou, J Liu
International Conference on Learning Representations (ICLR), 2024, 2023
3*2023
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