| Understanding of internal clustering validation measures Y Liu, Z Li, H Xiong, X Gao, J Wu 2010 IEEE international conference on data mining, 911-916, 2010 | 1511 | 2010 |
| Graph Contextualized Self-Attention Network for Session-based Recommendation C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou IJCAI, 2019 | 830 | 2019 |
| Urban computing with taxicabs Y Zheng, Y Liu, J Yuan, X Xie Proceedings of the 13th international conference on Ubiquitous computing, 89-98, 2011 | 708 | 2011 |
| Where to go next: A spatio-temporal gated network for next poi recommendation P Zhao, A Luo, Y Liu, F Zhuang, J Xu, Z Li, VS Sheng, X Zhou IEEE Transactions on Knowledge and Data Engineering, 2020 | 670 | 2020 |
| Sequential recommender system based on hierarchical attention network H Ying, F Zhuang, F Zhang, Y Liu, G Xu, X Xie, H Xiong, J Wu IJCAI international joint conference on artificial intelligence, 2018 | 494 | 2018 |
| Feature-level Deeper Self-Attention Network for Sequential Recommendation T Zhang, P Zhao, Y Liu, VS Sheng, J Xu, D Wang, G Liu, X Zhou IJCAI, 2019 | 482 | 2019 |
| Understanding and enhancement of internal clustering validation measures Y Liu, Z Li, H Xiong, X Gao, J Wu, S Wu IEEE transactions on cybernetics 43 (3), 982-994, 2013 | 406 | 2013 |
| Diagnosing New York city's noises with ubiquitous data Y Zheng, T Liu, Y Wang, Y Zhu, Y Liu, E Chang Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014 | 306 | 2014 |
| Domain specialization as the key to make large language models disruptive: A comprehensive survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... ACM Computing Surveys 58 (3), 1-39, 2025 | 258 | 2025 |
| Recurrent Convolutional Neural Network for Sequential Recommendation C Xu, P Zhao, Y Liu, J Xu, V Sheng, Z Cui, X Zhou, H Xiong World Wide Web conference, 2019 | 197 | 2019 |
| Unified Point-of-Interest Recommendation with Temporal Interval Assessment Y Liu, C Liu, B Liu, M Qu, H Xiong The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016 | 147 | 2016 |
| Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction W Zhang, H Liu, Y Liu, J Zhou, H Xiong Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1186-1193, 2020 | 131 | 2020 |
| Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 120 | 2023 |
| POI Recommendation: A Temporal Matching between POI Popularity and User Regularity Z Yao, Y Fu, B Liu, Y Liu, H Xiong IEEE International Conference on Data Mining, 2016 | 120 | 2016 |
| Long-and short-term self-attention network for sequential recommendation C Xu, J Feng, P Zhao, F Zhuang, D Wang, Y Liu, VS Sheng Neurocomputing 423, 580-589, 2021 | 117 | 2021 |
| Sparse real estate ranking with online user reviews and offline moving behaviors Y Fu, Y Ge, Y Zheng, Z Yao, Y Liu, H Xiong, J Yuan 2014 IEEE International Conference on Data Mining, 120-129, 2014 | 113 | 2014 |
| Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion J Liu, L Sun, Q Li, J Ming, Y Liu, H Xiong The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2017 | 95 | 2017 |
| Intelligent bus routing with heterogeneous human mobility patterns Y Liu, C Liu, NJ Yuan, L Duan, Y Fu, H Xiong, S Xu, J Wu Knowledge and Information Systems 50 (2), 383-415, 2017 | 91 | 2017 |
| Where to go next: A spatio-temporal lstm model for next poi recommendation P Zhao, H Zhu, Y Liu, Z Li, J Xu, VS Sheng arXiv preprint arXiv:1806.06671, 2018 | 88 | 2018 |
| Point of Interest Demand Modeling with Human Mobility Patterns Y Liu, C Liu, X Lu, M Teng, H Zhu, H Xiong The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2017 | 86 | 2017 |
Dr. Hui Xiong, Fellow of AAAS, AAAI a...Rutgers University/Baidu/HKUSTVerified email at ust.hk
