| An attention enhanced bidirectional LSTM for early forest fire smoke recognition Y Cao, F Yang, Q Tang, X Lu IEEE Access 7, 154732-154742, 2019 | 132 | 2019 |
| EFFNet: Enhanced feature foreground network for video smoke source prediction and detection Y Cao, Q Tang, X Wu, X Lu IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 1820-1833, 2021 | 23 | 2021 |
| Patchwise dictionary learning for video forest fire smoke detection in wavelet domain X Wu, Y Cao, X Lu, H Leung Neural Computing and Applications 33, 7965-7977, 2021 | 20 | 2021 |
| Global2Salient: Self-adaptive feature aggregation for remote sensing smoke detection S Chen, Y Cao, X Feng, X Lu Neurocomputing 466, 202-220, 2021 | 18 | 2021 |
| Distributed continuous-time algorithm for economic dispatch problem over switching communication topology J Yan, J Cao, Y Cao IEEE Transactions on Circuits and Systems II: Express Briefs 68 (6), 2002-2006, 2020 | 18 | 2020 |
| STCNet: spatiotemporal cross network for industrial smoke detection Y Cao, Q Tang, X Lu Multimedia Tools and Applications 81 (7), 10261-10277, 2022 | 17 | 2022 |
| Learning spatial-temporal representation for smoke vehicle detection Y Cao, X Lu Multimedia Tools and Applications 78, 27871-27889, 2019 | 17 | 2019 |
| Re-mine, learn and reason: Exploring the cross-modal semantic correlations for language-guided hoi detection Y Cao, Q Tang, F Yang, X Su, S You, X Lu, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| A spatial pyramid pooling convolutional neural network for smoky vehicle detection Y Cao, C Lu, X Lu, X Xia 2018 37th Chinese Control Conference (CCC), 9170-9175, 2018 | 10 | 2018 |
| CNN-Transformer Hybrid Architecture for Early Fire Detection C Yang, Y Pan, Y Cao, X Lu International Conference on Artificial Neural Networks, 570-581, 2022 | 9 | 2022 |
| An attention convolutional neural network for forest fire smoke recognition D Zhang, Y Cao, G Zhang, X Lu 2019 6th International Conference on Systems and Informatics (ICSAI), 1207-1211, 2019 | 9 | 2019 |
| Combining the Convolution and Transformer for Classification of Smoke-Like Scenes in Remote Sensing Images S Chen, W Li, Y Cao, X Lu IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 6 | 2022 |
| QuasiVSD: efficient dual-frame smoke detection Y Cao, Q Tang, S Xu, F Li, X Lu Neural Computing and Applications 34 (11), 8539-8550, 2022 | 6 | 2022 |
| An effective method for forest fire smoke detection L Qin, X Wu, Y Cao, X Lu Journal of Physics: Conference Series 1187 (5), 052045, 2019 | 6 | 2019 |
| Smoky vehicle detection algorithm based on improved transfer learning G Zhang, D Zhang, X Lu, Y Cao 2019 6th International Conference on Systems and Informatics (ICSAI), 155-159, 2019 | 5 | 2019 |
| Moving vehicle detection with shadow elimination based on improved ViBe algorithm X Xia, X Lu, Y Cao, S Xia, C Fu Journal of Physics: Conference Series 1302 (2), 022080, 2019 | 5 | 2019 |
| Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models Y Cao, Q Tang, X Su, S Chen, S You, X Lu, C Xu Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Contrastive embedding distribution refinement and entropy-aware attention for 3D point cloud classification F Yang, Y Cao, Q Xue, S Jin, X Li, W Zhang arXiv preprint arXiv:2201.11388, 2022 | 4 | 2022 |
| Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition CX Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu Advances in Neural Information Processing Systems, 2022 | 4 | 2022 |
| Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval X Lu, S Chen, Y Cao, X Zhou, X Lu Proceedings of the 31st ACM International Conference on Multimedia, 6558-6566, 2023 | 3 | 2023 |
