Time weight collaborative filtering Y Ding, X Li Proceedings of the 14th ACM international conference on Information and …, 2005 | 692 | 2005 |
A survey of sentiment analysis in social media L Yue, W Chen, X Li, W Zuo, M Yin Knowledge and Information Systems 60, 617-663, 2019 | 537 | 2019 |
Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection T Chen, X Li, H Yin, J Zhang Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018 | 380 | 2018 |
RFID data management: challenges and opportunities R Derakhshan, ME Orlowska, X Li 2007 IEEE International conference on RFID, 175-182, 2007 | 309 | 2007 |
PME: projected metric embedding on heterogeneous networks for link prediction H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 250 | 2018 |
Deep attention-based spatially recursive networks for fine-grained visual recognition L Wu, Y Wang, X Li, J Gao IEEE transactions on cybernetics 49 (5), 1791-1802, 2018 | 246 | 2018 |
Where-and-when to look: Deep siamese attention networks for video-based person re-identification L Wu, Y Wang, J Gao, X Li IEEE Transactions on Multimedia 21 (6), 1412-1424, 2018 | 234 | 2018 |
Enabling next-generation RFID applications: Solutions and challenges QZ Sheng, X Li, S Zeadally Computer 41 (9), 21-28, 2008 | 222 | 2008 |
Suicidal ideation detection: A review of machine learning methods and applications S Ji, S Pan, X Li, E Cambria, G Long, Z Huang IEEE Transactions on Computational Social Systems 8 (1), 214-226, 2021 | 216 | 2021 |
Electricity market price spike forecast with data mining techniques X Lu, ZY Dong, X Li Electric power systems research 73 (1), 19-29, 2005 | 201 | 2005 |
A framework for electricity price spike analysis with advanced data mining methods JH Zhao, ZY Dong, X Li, KP Wong IEEE Transactions on Power Systems 22 (1), 376-385, 2007 | 197 | 2007 |
Deep adaptive feature embedding with local sample distributions for person re-identification L Wu, Y Wang, J Gao, X Li Pattern Recognition 73, 275-288, 2018 | 168 | 2018 |
An effective approach for cyberbullying detection V Nahar, X Li, C Pang Communications in information science and management engineering 3 (5), 238, 2013 | 163 | 2013 |
Learning private neural language modeling with attentive aggregation S Ji, S Pan, G Long, X Li, J Jiang, Z Huang 2019 International joint conference on neural networks (IJCNN), 1-8, 2019 | 158 | 2019 |
Cyber physical power systems: architecture, implementation techniques and challenges J Zhao, F Wen, Y Xue, X Li, Z Dong Dianli Xitong Zidonghua/Automation of Electric Power Systems 34 (16), 1-7, 2010 | 154 | 2010 |
Emerging event detection in social networks with location sensitivity S Unankard, X Li, MA Sharaf World Wide Web 18, 1393-1417, 2015 | 128 | 2015 |
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification L Wu, Y Wang, X Li, J Gao Pattern Recognition 76, 727-738, 2018 | 124 | 2018 |
Semi-supervised learning for cyberbullying detection in social networks V Nahar, S Al-Maskari, X Li, C Pang Databases Theory and Applications: 25th Australasian Database Conference …, 2014 | 123 | 2014 |
Compressive representation for device-free activity recognition with passive RFID signal strength L Yao, QZ Sheng, X Li, T Gu, M Tan, X Wang, S Wang, W Ruan IEEE Transactions on Mobile Computing 17 (2), 293-306, 2017 | 118 | 2017 |
Recency-based collaborative filtering Y Ding, X Li, ME Orlowska Proceedings of the 17th Australasian Database Conference-Volume 49, 99-107, 2006 | 117 | 2006 |