| An embedding approach to anomaly detection R Hu, CC Aggarwal, S Ma, J Huai 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 385-396, 2016 | 87 | 2016 |
| Joint Representation Learning for Multi-Modal Transportation Recommendation H Liu, T Li, R Hu, Y Fu, J Gu, H Xiong The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019 | 74 | 2019 |
| Fast Computation of Dense Temporal Subgraphs S Ma, R Hu, L Wang, X Lin, J Huai 2017 IEEE 33nd International Conference on Data Engineering (ICDE), 2017 | 55 | 2017 |
| A Collaborative Learning Framework to Tag Refinement for Points of Interest J Zhou, S Gou, R Hu, D Zhang, J Xu, X Wu, A Jiang, H Xiong SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 | 37 | 2019 |
| Scaling up link prediction with ensembles L Duan, C Aggarwal, S Ma, R Hu, J Huai Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 26 | 2016 |
| Robust training of graph neural networks via noise governance S Qian, H Ying, R Hu, J Zhou, J Chen, DZ Chen, J Wu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 17 | 2023 |
| Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching Z Yuan, H Liu, J Liu, Y Liu, Y Yang, R Hu, H Xiong The 30th Web Conference (WWW), 2021 | 14 | 2021 |
| An efficient approach to finding dense temporal subgraphs S Ma, R Hu, L Wang, X Lin, J Huai IEEE Transactions on Knowledge and Data Engineering 32 (4), 645-658, 2019 | 14 | 2019 |
| Query Independent Scholarly Article Ranking S Ma, C Gong, R Hu, D Luo, C Hu, J Huai IEEE International Conference on Data Engineering (ICDE), 2018 | 14 | 2018 |
| Ensemble enabled weighted PageRank D Luo, C Gong, R Hu, L Duan, S Ma arXiv preprint arXiv:1604.05462, 2016 | 12 | 2016 |
| Competitive relationship prediction for points of interest: A neural graphlet based approach J Zhou, T Huang, S Li, R Hu, Y Liu, Y Fu, H Xiong IEEE Transactions on Knowledge and Data Engineering 34 (12), 5681-5692, 2021 | 10 | 2021 |
| : A Neural Context Fusion Approach to Raw Mobility Annotation R Hu, J Zhou, X Lu, H Zhu, S Ma, H Xiong IEEE Transactions on Mobile Computing 21 (1), 226-238, 2020 | 7 | 2020 |
| Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling Z Yuan, H Liu, R Hu, D Zhang, H Xiong The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 5 | 2021 |
| Why We Go Where We Go: Profiling User Decisions on Choosing POIs R Hu, X Lu, C Liu, Y Li, H Liu, J Gu, S Ma, H Xiong Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2020 | 5 | 2020 |
| Exploiting user preference and mobile peer influence for human mobility annotation R Hu, Y Liu, Y Li, J Zhou, S Ma, H Xiong ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-18, 2020 | 4 | 2020 |
| Athena: A Ranking Enabled Scholarly Search System J Liu, S Ma, R Hu, C Hu, J Huai WSDM, The 13th ACM International Conference on Web Search and Data Mining, 2020 | 3 | 2020 |
| Robust Image Ordinal Regression with Controllable Image Generation Y Cheng, H Ying, R Hu, J Wang, W Zheng, X Zhang, D Chen, J Wu Thirty-Second International Joint Conference on Artificial Intelligence …, 2023 | 1 | 2023 |
| Method and apparatus for optimizing tag of point of interest, electronic device and computer readable medium Z Jingbo, HU Renjun, A Jiang, J Duan, H Xiong US Patent App. 17/037,144, 2021 | 1 | 2021 |
| Method for Building User Visit Inference Model, Apparatus and Storage Medium YY Li, HU Renjun, J Duan, A Jiang, H Xiong US Patent App. 16/654,343, 2020 | 1 | 2020 |
| PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations J Li, R Hu, K Huang, Y Zhuang, Q Liu, M Zhu, X Shi, W Lin arXiv preprint arXiv:2405.19740, 2024 | | 2024 |
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUST在 ust.hk 的电子邮件经过验证
