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Yifan Xu
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Cited by
Year
Co-scale conv-attentional image transformers
W Xu, Y Xu, T Chang, Z Tu
ICCV 2021 (Oral), 2021
4052021
Pose Recognition with Cascade Transformers
K Li, S Wang, X Zhang, Y Xu, W Xu, Z Tu
CVPR 2021, 2021
2632021
Guided variational autoencoder for disentanglement learning
Z Ding, Y Xu, W Xu, G Parmar, Y Yang, M Welling, Z Tu
CVPR 2020, 2020
1332020
Line Segment Detection Using Transformers without Edges
Y Xu, W Xu, D Cheung, Z Tu
CVPR 2021 (Oral), 2021
1292021
Attentional Constellation Nets for Few-Shot Learning
W Xu, Y Xu, H Wang, Z Tu
ICLR 2021, 2020
1172020
Bliva: A simple multimodal llm for better handling of text-rich visual questions
W Hu, Y Xu, Y Li, W Li, Z Chen, Z Tu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2256-2264, 2024
1092024
Mixed-phase TiO 2 nanorods assembled microsphere: crystal phase control and photovoltaic application
P Ruan, J Qian, Y Xu, H Xie, C Shao, X Zhou
CrystEngComm 15 (25), 5093-5099, 2013
302013
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models
TA Chang, Y Xu, W Xu, Z Tu
ACL 2021, 2021
152021
On the feasibility of cross-task transfer with model-based reinforcement learning
Y Xu, N Hansen, Z Wang, YC Chan, H Su, Z Tu
ICLR 2023, 2022
132022
Rethinking exposure bias in language modeling
Y Xu, K Zhang, H Dong, Y Sun, W Zhao, Z Tu
arXiv preprint arXiv:1910.11235, 2019
72019
Neural program synthesis by self-learning
Y Xu, L Dai, U Singh, K Zhang, Z Tu
arXiv preprint arXiv:1910.05865, 2019
42019
Exploring Visual Perception with Transformers and World Model Representation
Y Xu
University of California, San Diego, 2023
2023
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Articles 1–12