Learning graph structures with transformer for multivariate time-series anomaly detection in IoT Z Chen, D Chen, X Zhang, Z Yuan, X Cheng IEEE Internet of Things Journal 9 (12), 9179-9189, 2021 | 262 | 2021 |
AttnSense: Multi-level attention mechanism for multimodal human activity recognition. H Ma, W Li, X Zhang, S Gao, S Lu IJCAI, 3109-3115, 2019 | 218 | 2019 |
Moodexplorer: Towards compound emotion detection via smartphone sensing X Zhang, W Li, X Chen, S Lu Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 111 | 2018 |
Time-aware metric embedding with asymmetric projection for successive POI recommendation H Ying, J Wu, G Xu, Y Liu, T Liang, X Zhang, H Xiong World Wide Web 22, 2209-2224, 2019 | 60 | 2019 |
An integrated model for crime prediction using temporal and spatial factors F Yi, Z Yu, F Zhuang, X Zhang, H Xiong 2018 IEEE International Conference on Data Mining (ICDM), 1386-1391, 2018 | 58 | 2018 |
Fedhar: Semi-supervised online learning for personalized federated human activity recognition H Yu, Z Chen, X Zhang, X Chen, F Zhuang, H Xiong, X Cheng IEEE transactions on mobile computing 22 (6), 3318-3332, 2021 | 52 | 2021 |
Cascaded SE-ResUnet for segmentation of thoracic organs at risk Z Cao, B Yu, B Lei, H Ying, X Zhang, DZ Chen, J Wu Neurocomputing 453, 357-368, 2021 | 41 | 2021 |
Emotion detection in online social networks: a multilabel learning approach X Zhang, W Li, H Ying, F Li, S Tang, S Lu IEEE Internet of Things Journal 7 (9), 8133-8143, 2020 | 41 | 2020 |
Supervised representation learning for multi-label classification M Huang, F Zhuang, X Zhang, X Ao, Z Niu, ML Zhang, Q He Machine Learning 108, 747-763, 2019 | 27 | 2019 |
Multi-task time series forecasting with shared attention Z Chen, E Jiaze, X Zhang, H Sheng, X Cheng 2020 International Conference on Data Mining Workshops (ICDMW), 917-925, 2020 | 26 | 2020 |
Inferring mood instability via smartphone sensing: A multi-view learning approach X Zhang, F Zhuang, W Li, H Ying, H Xiong, S Lu Proceedings of the 27th ACM International Conference on Multimedia, 1401-1409, 2019 | 23 | 2019 |
Academic paper recommendation based on community detection in citation-collaboration networks Q Wang, W Li, X Zhang, S Lu Web Technologies and Applications: 18th Asia-Pacific Web Conference, APWeb …, 2016 | 22 | 2016 |
Modeling heterogeneous relations across multiple modes for potential crowd flow prediction Q Zhou, J Gu, X Lu, F Zhuang, Y Zhao, Q Wang, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4723-4731, 2021 | 19 | 2021 |
Time-aware context-gated graph attention network for clinical risk prediction Y Xu, H Ying, S Qian, F Zhuang, X Zhang, D Wang, J Wu, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2022 | 14 | 2022 |
PersonalitySensing: A multi-view multi-task learning approach for personality detection based on smartphone usage S Gao, W Li, LJ Song, X Zhang, M Lin, S Lu Proceedings of the 28th ACM International Conference on Multimedia, 2862-2870, 2020 | 13 | 2020 |
Predicting smartphone app usage with recurrent neural networks S Xu, W Li, X Zhang, S Gao, T Zhan, Y Zhao, W Zhu, T Sun Wireless Algorithms, Systems, and Applications: 13th International …, 2018 | 13 | 2018 |
Federated representation learning with data heterogeneity for human mobility prediction X Zhang, Q Wang, Z Ye, H Ying, D Yu IEEE Transactions on Intelligent Transportation Systems, 2023 | 11 | 2023 |
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition Z Chen, X Zhang, X Cheng 36th AAAI Conference on Artificial Intelligence (AAAI 2022), 2022 | 10* | 2022 |
Predicting and recommending the next smartphone apps based on recurrent neural network S Xu, W Li, X Zhang, S Gao, T Zhan, S Lu CCF Transactions on Pervasive Computing and Interaction 2 (4), 314-328, 2020 | 10 | 2020 |
Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements JH Duan, W Li, X Zhang, S Lu Computer Networks 214, 109156, 2022 | 9 | 2022 |