| Norm-ranging lsh for maximum inner product search X Yan, J Li, X Dai, H Chen, J Cheng Advances in Neural Information Processing Systems 31, 2018 | 60 | 2018 |
| Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning X Dai, X Yan, K Zhou, H Yang, KKW Ng, J Cheng, Y Fan arXiv preprint arXiv:1911.04655, 2019 | 49 | 2019 |
| Self-enhanced gnn: Improving graph neural networks using model outputs H Yang, X Yan, X Dai, Y Chen, J Cheng 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 35 | 2021 |
| Understanding and Improving Proximity Graph Based Maximum Inner Product Search J Liu, X Yan, X Dai, Z Li, J Cheng, MC Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 139-146, 2020 | 29 | 2020 |
| Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search X Dai, X Yan, KKW Ng, J Liu, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 51-58, 2020 | 28 | 2020 |
| Convolutional Embedding for Edit Distance X Dai, X Yan, K Zhou, Y Wang, H Yang, J Cheng Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 24* | 2020 |
| Pmd: An optimal transportation-based user distance for recommender systems Y Meng, X Dai, X Yan, J Cheng, W Liu, J Guo, B Liao, G Chen Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 8* | 2020 |
| Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS) X Yan, X Dai, J Liu, K Zhou, J Cheng arXiv preprint arXiv:1810.09104, 2018 | 1 | 2018 |
Xiao YanSouthern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
