| Urban big data fusion based on deep learning: An overview J Liu, T Li, P Xie, S Du, F Teng, X Yang Information Fusion 53, 123-133, 2020 | 225 | 2020 |
| Urban flow prediction from spatiotemporal data using machine learning: A survey P Xie, T Li, J Liu, S Du, X Yang, J Zhang Information Fusion 59, 1-12, 2020 | 223 | 2020 |
| Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions Z Yuan, H Chen, P Xie, P Zhang, J Liu, T Li Applied Soft Computing 107, 107353, 2021 | 70 | 2021 |
| A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data P Zhang, T Li, Z Yuan, C Luo, G Wang, J Liu, S Du Information Fusion 80, 87-103, 2022 | 53 | 2022 |
| Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection Z Yuan, H Chen, T Li, J Liu, S Wang Fuzzy Sets and Systems 421, 1-28, 2021 | 51 | 2021 |
| An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability W Huang, T Li, J Liu, P Xie, S Du, F Teng Information Fusion 75, 28-40, 2021 | 37 | 2021 |
| Interactive and complementary feature selection via fuzzy multigranularity uncertainty measures J Wan, H Chen, T Li, Z Yuan, J Liu, W Huang IEEE Transactions on Cybernetics 53 (2), 1208-1221, 2021 | 35 | 2021 |
| Anomaly detection based on weighted fuzzy-rough density Z Yuan, B Chen, J Liu, H Chen, D Peng, P Li Applied Soft Computing 134, 109995, 2023 | 30 | 2023 |
| A generalized deep learning algorithm based on NMF for multi-view clustering D Wang, T Li, P Deng, J Liu, W Huang, F Zhang IEEE Transactions on Big Data 9 (1), 328-340, 2022 | 24 | 2022 |
| FedDSR: Daily schedule recommendation in a federated deep reinforcement learning framework W Huang, J Liu, T Li, T Huang, S Ji, J Wan IEEE Transactions on Knowledge and Data Engineering 35 (4), 3912-3924, 2021 | 21 | 2021 |
| Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding J Liu, T Li, S Ji, P Xie, S Du, F Teng, J Zhang IEEE Transactions on Knowledge and Data Engineering 35 (2), 2133-2146, 2021 | 19 | 2021 |
| Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation J Liu, W Huang, T Li, S Ji, J Zhang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4621-4633, 2022 | 18 | 2022 |
| A generalized deep learning clustering algorithm based on non-negative matrix factorization D Wang, T Li, P Deng, F Zhang, W Huang, P Zhang, J Liu ACM Transactions on Knowledge Discovery from Data 17 (7), 1-20, 2023 | 13 | 2023 |
| Fedcke: Cross-domain knowledge graph embedding in federated learning W Huang, J Liu, T Li, S Ji, D Wang, T Huang IEEE Transactions on Big Data, 2022 | 10 | 2022 |
| Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection J Liu, T Li, Z Yuan, W Huang, P Xie, Q Huang Information Sciences 609, 626-643, 2022 | 9 | 2022 |
| Social community evolution by combining gravitational relationship with community structure J Liu, YJ Du, Q Li, CL Fu Intelligent Data Analysis 22 (5), 1143-1161, 2018 | 8 | 2018 |
| SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection J Liu, W Huang, H Li, S Ji, Y Du, T Li Information Sciences 640, 119063, 2023 | 4 | 2023 |
| Network energy: a new energy of a graph S Liu, T Li, J Zhu, G Wang, J Liu, P Xie 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge …, 2019 | 4 | 2019 |
| A novel approach of identifying user intents in microblog CX Li, YJ Du, J Liu, H Zheng, SD Wang International Conference on Intelligent Computing, 391-400, 2016 | 4 | 2016 |
| On network energy of oriented graphs S Liu, T Li, X Zhang, J Liu, P Xie, G Wang Developments of Artificial Intelligence Technologies in Computation and …, 2020 | 3 | 2020 |
