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Yi Xu
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Cited by
Year
User grouping for massive MIMO in FDD systems: New design methods and analysis
Y Xu, G Yue, S Mao
IEEE Access 2, 947-959, 2014
1982014
Vision-language pre-training with triple contrastive learning
J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1892022
A survey of mobile cloud computing for rich media applications
Y Xu, S Mao
IEEE Wireless Communications 20 (3), 46-53, 2013
1422013
User association in massive MIMO HetNets
Y Xu, S Mao
IEEE Systems Journal, 2015
1002015
User grouping and scheduling for large scale MIMO systems with two-stage precoding
Y Xu, G Yue, N Prasad, S Rangarajan, S Mao
IEEE ICC 2014, 0
66*
Multi-modal alignment using representation codebook
J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, T Chilimbi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
432022
Stackelberg game for cognitive radio networks with MIMO and distributed interference alignment
Y Xu, S Mao
IEEE transactions on vehicular technology 63 (2), 879-892, 2013
402013
Cooperative spectrum sensing in cognitive radio under noise uncertainty
H Wang, Y Xu, X Su, J Wang
2010 IEEE 71st Vehicular Technology Conference, 1-5, 2010
382010
CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models
A Muhamed, I Keivanloo, S Perera, J Mracek, Y Xu, Q Cui, S Rajagopalan, ...
NeurIPS Efficient Natural Language and Speech Processing Workshop, 2021
292021
Relay-assisted multiuser video streaming in cognitive radio networks
Y Xu, D Hu, S Mao
IEEE Transactions on Circuits and Systems for Video Technology 24 (10), 1758 …, 2014
262014
Cooperative spectrum sensing with wavelet denoising in cognitive radio
H Wang, Y Xu, X Su, J Wang
2010 IEEE 71st vehicular technology conference, 1-5, 2010
252010
Simpler, faster, stronger: Breaking the log-k curse on contrastive learners with flatnce
J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, ...
arXiv preprint arXiv:2107.01152, 2021
212021
Why do we need large batchsizes in contrastive learning? a gradient-bias perspective
C Chen, J Zhang, Y Xu, L Chen, J Duan, Y Chen, S Tran, B Zeng, ...
Advances in Neural Information Processing Systems 35, 33860-33875, 2022
132022
Interference alignment improves the capacity of OFDM systems
Y Xu, S Mao, X Su
IEEE Transactions on Vehicular Technology 65 (2), 756-767, 2015
122015
Efficient and effective training of language and graph neural network models
VN Ioannidis, X Song, D Zheng, H Zhang, J Ma, Y Xu, B Zeng, T Chilimbi, ...
arXiv preprint arXiv:2206.10781, 2022
102022
On interference alignment in multi-user OFDM systems
Y Xu, S Mao
2012 IEEE Global Communications Conference (GLOBECOM), 5339-5344, 2012
102012
Distributed interference alignment in cognitive radio networks
Y Xu, S Mao
2013 22nd International Conference on Computer Communication and Networks …, 2013
92013
SNR wall and cooperative spectrum sensing in cognitive radio under noise uncertainty
H Wang, X Su, Y Xu, X Chen, J Wang
Journal of Electronics (China) 27, 611-617, 2010
92010
Understanding and constructing latent modality structures in multi-modal representation learning
Q Jiang, C Chen, H Zhao, L Chen, Q Ping, SD Tran, Y Xu, B Zeng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Magic pyramid: Accelerating inference with early exiting and token pruning
X He, I Keivanloo, Y Xu, X He, B Zeng, S Rajagopalan, T Chilimbi
arXiv preprint arXiv:2111.00230, 2021
82021
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