| A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search M Wang, X Xu, Q Yue, Y Wang arXiv preprint arXiv:2101.12631, 2021 | 120 | 2021 |
| An FPGA implementation of deep spiking neural networks for low-power and fast classification X Ju, B Fang, R Yan, X Xu, H Tang Neural computation 32 (1), 182-204, 2020 | 70 | 2020 |
| Event temporal relation extraction with attention mechanism and graph neural network X Xu, T Gao, Y Wang, X Xuan Tsinghua Science and Technology 27 (1), 79-90, 2021 | 33 | 2021 |
| Spike-based encoding and learning of spectrum features for robust sound recognition R Xiao, H Tang, P Gu, X Xu Neurocomputing 313, 65-73, 2018 | 18 | 2018 |
| Aggregate queries on knowledge graphs: Fast approximation with semantic-aware sampling Y Wang, A Khan, X Xu, J Jin, Q Hong, T Fu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2914-2927, 2022 | 15 | 2022 |
| Two-stage routing with optimized guided search and greedy algorithm on proximity graph X Xu, M Wang, Y Wang, D Ma Knowledge-Based Systems 229, 107305, 2021 | 14 | 2021 |
| Navigable proximity graph-driven native hybrid queries with structured and unstructured constraints M Wang, L Lv, X Xu, Y Wang, Q Yue, J Ni arXiv preprint arXiv:2203.13601, 2022 | 11 | 2022 |
| Top-k star queries on knowledge graphs through semantic-aware bounding match scores Y Wang, X Xu, Q Hong, J Jin, T Wu Knowledge-Based Systems 213, 106655, 2021 | 9 | 2021 |
| Visual pattern recognition using enhanced visual features and PSD-based learning rule X Xu, X Jin, R Yan, Q Fang, W Lu IEEE Transactions on Cognitive and Developmental Systems 10 (2), 205-212, 2017 | 7 | 2017 |
| AQP++: a hybrid approximate query processing framework for generalized aggregation queries Y Wang, Y Xia, Q Fang, X Xu Journal of computational science 26, 419-431, 2018 | 6 | 2018 |
| Micro-EKF fusion algorithm for multi-sensor systems with correlated noise X Xu, H Zhang, X Tang Journal of Tsinghua University Science and Technology 52 (9), 1199-1204, 2012 | 6 | 2012 |
| Academic Expert Finding via (k,P)-Core based Embedding over Heterogeneous Graphs. X Xu, J Liu, Y Wang, X Ke ICDE, 338-351, 2022 | 5 | 2022 |
| Multiattribute approximate nearest neighbor search based on navigable small world graph X Xu, C Li, Y Wang, Y Xia Concurrency and Computation: Practice and Experience 32 (24), e5970, 2020 | 5 | 2020 |
| Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, 𝒫)-Core based Embedding Y Wang, J Liu, X Xu, X Ke, T Wu, X Gou ACM Transactions on Knowledge Discovery from Data 17 (6), 1-35, 2023 | 4 | 2023 |
| Approximate and interactive processing of aggregate queries on knowledge graphs: a demonstration Y Wang, A Khan, X Xu, S Ye, S Pan, Y Zhou Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Networked strong tracking filters with noise correlations and bits quantization X Xu, Q Ge Artificial Intelligence and Computational Intelligence: Third International …, 2011 | 4 | 2011 |
| Energy Efficient Cluster-Head Selection for Heterogeneous Wireless Sensor Networks XU Xiao-liang, Q Junna Chinese Journal of Sensors and Actuators 3, 2009 | 4 | 2009 |
| A study on local sensor fusion of wireless sensor networks based on the neural network XL Xu, JN Qiu, C Chen 2008 International Conference on Machine Learning and Cybernetics 7, 4045-4050, 2008 | 4 | 2008 |
| An efficient and robust framework for approximate nearest neighbor search with attribute constraint M Wang, L Lv, X Xu, Y Wang, Q Yue, J Ni Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Semantic locality‐based approximate knowledge graph query Y Wang, Z Ge, H Yan, X Xu, Y Xia Concurrency and Computation: Practice and Experience 31 (24), e5345, 2019 | 3 | 2019 |
Yuxiang WangHangzhou Dianzi UniversityVerified email at hdu.edu.cn
