| A location privacy-preserving system based on query range cover-up or location-based services Z Wu, R Wang, Q Li, X Lian, G Xu, E Chen, X Liu IEEE Transactions on Vehicular Technology 69 (5), 5244-5254, 2020 | 128 | 2020 |
| Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings Z Li, Q Li, X Zou, J Ren Neurocomputing 423, 207-219, 2021 | 127 | 2021 |
| Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu Digital Communications and Networks 9 (4), 906-919, 2023 | 51 | 2023 |
| Improving convolutional neural network for text classification by recursive data pruning Q Li, P Li, K Mao, EYM Lo Neurocomputing 414, 143-152, 2020 | 48 | 2020 |
| Improving relation extraction with knowledge-attention P Li, K Mao, X Yang, Q Li arXiv preprint arXiv:1910.02724, 2019 | 43 | 2019 |
| Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review C Ying, W Wang, J Yu, Q Li, D Yu, J Liu Journal of Cleaner Production 384, 135414, 2023 | 42 | 2023 |
| A comprehensive exploration of semantic relation extraction via pre-trained CNNs Q Li, L Li, W Wang, Q Li, J Zhong Knowledge-Based Systems 194, 105488, 2020 | 40 | 2020 |
| A multi-objective adaptive evolutionary algorithm to extract communities in networks Q Li, Z Cao, W Ding, Q Li Swarm and Evolutionary Computation 52, 100629, 2020 | 39 | 2020 |
| Partial video domain adaptation with partial adversarial temporal attentive network Y Xu, J Yang, H Cao, Z Chen, Q Li, K Mao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 32 | 2021 |
| Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base P Li, K Mao, Y Xu, Q Li, J Zhang Knowledge-Based Systems 193, 105436, 2020 | 30 | 2020 |
| Graph representation learning with encoding edges Q Li, Z Cao, J Zhong, Q Li Neurocomputing 361, 29-39, 2019 | 26 | 2019 |
| SR-HGN: Semantic-and relation-aware heterogeneous graph neural network Z Wang, D Yu, Q Li, S Shen, S Yao Expert Systems with Applications 224, 119982, 2023 | 20 | 2023 |
| A neural model for type classification of entities for text Q Li, JQ Dong, J Zhong, Q Li, C Wang Knowledge-Based Systems 176, 122-132, 2019 | 16 | 2019 |
| Heterogeneous graph contrastive multi-view learning Z Wang, Q Li, D Yu, X Han, XZ Gao, S Shen Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 15 | 2023 |
| A semantic collaboration method based on uniform knowledge graph Q Li, Z Cao, M Tanveer, HM Pandey, C Wang IEEE Internet of Things Journal 7 (5), 4473-4484, 2019 | 15 | 2019 |
| An effective reliability evaluation method for power communication network based on community structure Q Li, Z Cao, M Tanveer, HM Pandey, C Wang IEEE Transactions on Industry Applications 56 (4), 4489-4500, 2019 | 11 | 2019 |
| CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks J Yu, H Cheng, J Zhang, Q Li, S Wu, W Zhong, J Ye, W Song, P Ma IEEE internet of things journal 9 (15), 13862-13875, 2022 | 10 | 2022 |
| A community merger of optimization algorithm to extract overlapping communities in networks Q Li, J Zhong, Q Li, C Wang, Z Cao IEEE Access 7, 3994-4005, 2018 | 8 | 2018 |
| Differential privacy protection scheme based on community density aggregation and matrix perturbation H Huang, Z Yan, X Tang, F Xiao, Q Li Information Sciences 615, 167-190, 2022 | 7 | 2022 |
| Enhancing network embedding with implicit clustering Q Li, J Zhong, Q Li, Z Cao, C Wang International Conference on Database Systems for Advanced Applications, 452-467, 2019 | 7 | 2019 |
