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 | 207 | 2022 |
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 | 199 | 2014 |
A survey of mobile cloud computing for rich media applications Y Xu, S Mao IEEE Wireless Communications 20 (3), 46-53, 2013 | 142 | 2013 |
User association in massive MIMO HetNets Y Xu, S Mao IEEE Systems Journal, 2015 | 100 | 2015 |
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 | 46 | 2022 |
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 | 40 | 2013 |
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 | 38 | 2010 |
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 | 32 | 2021 |
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 | 26 | 2014 |
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 | 26 | 2010 |
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 | 21 | 2021 |
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 | 15 | 2022 |
Interference alignment improves the capacity of OFDM systems Y Xu, S Mao, X Su IEEE Transactions on Vehicular Technology 65 (2), 756-767, 2015 | 12 | 2015 |
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 | 10 | 2023 |
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 | 10 | 2022 |
On interference alignment in multi-user OFDM systems Y Xu, S Mao 2012 IEEE Global Communications Conference (GLOBECOM), 5339-5344, 2012 | 10 | 2012 |
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 | 9 | 2021 |
Distributed interference alignment in cognitive radio networks Y Xu, S Mao 2013 22nd International Conference on Computer Communication and Networks …, 2013 | 9 | 2013 |
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 | 9 | 2010 |