| 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 | 313 | 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 | 208 | 2014 |
| A survey of mobile cloud computing for rich media applications Y Xu, S Mao IEEE Wireless Communications 20 (3), 46-53, 2013 | 147 | 2013 |
| User association in massive MIMO HetNets Y Xu, S Mao IEEE Systems Journal, 2015 | 105 | 2015 |
| 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 | 73 | 2022 |
| 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 | 68* | |
| 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 | 47 | 2021 |
| 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 | 44 | 2023 |
| 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 |
| 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 | 34 | 2022 |
| 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 | 29 | 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 |
| Graph-aware language model pre-training on a large graph corpus can help multiple graph applications H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 24 | 2023 |
| Reaugkd: Retrieval-augmented knowledge distillation for pre-trained language models J Zhang, A Muhamed, A Anantharaman, G Wang, C Chen, K Zhong, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 17 | 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 | 17 | 2022 |
| 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 | 16 | 2021 |
| 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 |
| On interference alignment in multi-user OFDM systems Y Xu, S Mao 2012 IEEE Global Communications Conference (GLOBECOM), 5339-5344, 2012 | 10 | 2012 |
Shiwen MaoProfessor and Earle C. Williams Eminent Scholar, Fellow of the IEEE, Dept. ECE, Auburn UniversityVerified email at auburn.edu