| Cross-modal graph matching network for image-text retrieval Y Cheng, X Zhu, J Qian, F Wen, P Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 64 | 2022 |
| Learning appearance-motion normality for video anomaly detection Y Liu, J Liu, M Zhao, D Yang, X Zhu, L Song 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 42 | 2022 |
| Learning task-specific representation for video anomaly detection with spatial-temporal attention Y Liu, J Liu, X Zhu, D Wei, X Huang, L Song ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 33 | 2022 |
| Action recognition based on 3d skeleton and rgb frame fusion G Liu, J Qian, F Wen, X Zhu, R Ying, P Liu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 32 | 2019 |
| Look, listen and pay more attention: Fusing multi-modal information for video violence detection DL Wei, CG Liu, Y Liu, J Liu, XG Zhu, XH Zeng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 20 | 2022 |
| Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition X Zhu, Y Zhu, H Wang, H Wen, Y Yan, P Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 20 | 2022 |
| MSAF: Multimodal supervise-attention enhanced fusion for video anomaly detection D Wei, Y Liu, X Zhu, J Liu, X Zeng IEEE Signal Processing Letters 29, 2178-2182, 2022 | 18 | 2022 |
| Distributional and spatial-temporal robust representation learning for transportation activity recognition J Liu, Y Liu, W Zhu, X Zhu, L Song Pattern Recognition 140, 109568, 2023 | 16 | 2023 |
| Curriculum enhanced supervised attention network for person re-identification X Zhu, J Qian, H Wang, P Liu IEEE Signal Processing Letters 27, 1665-1669, 2020 | 12 | 2020 |
| Dark-aware network for fine-grained sketch-based image retrieval Z Yang, X Zhu, J Qian, P Liu IEEE Signal Processing Letters 28, 264-268, 2020 | 10 | 2020 |
| Graph-based reasoning attention pooling with curriculum design for content-based image retrieval X Zhu, H Wang, P Liu, Z Yang, J Qian Image and Vision Computing 115, 104289, 2021 | 7 | 2021 |
| Mutual match for semi-supervised online evolutive learning D Li, X Zhu, L Song Applied Intelligence 53 (3), 3336-3350, 2023 | 6 | 2023 |
| MRNet: a keypoint guided multi-scale reasoning network for vehicle re-identification M Pan, X Zhu, Y Li, J Qian, P Liu Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 5 | 2020 |
| Silent EEG classification using cross-fusion adaptive graph convolution network for multilingual neurolinguistic signal decoding C Li, H Wang, Y Liu, X Zhu, L Song Biomedical Signal Processing and Control 87, 105524, 2024 | 2 | 2024 |
| SDAN: stacked diverse attention network for video action recognition X Zhu, S Huang, W Fan, Y Cheng, H Shao, P Liu 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 2 | 2021 |
| Supplementing Missing Visions via Dialog for Scene Graph Generations Z Zhao, Y Zhu, X Zhu, Y Shang, Y Yan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Rethinking Saliency Map: A Context-Aware Perturbation Method to Explain EEG-Based Deep Learning Model H Wang, X Zhu, T Chen, C Li, L Song IEEE Transactions on Biomedical Engineering 70 (5), 1462-1472, 2022 | 1 | 2022 |
| Generating adaptive targeted adversarial examples for content-based image retrieval J Pan, X Zhu, P Liu 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 1 | 2022 |
| A System Integrating Speech Interaction and Vision Sensing Applying in Smart Home Scenario J Dai, J Qian, Z Tao, J Chen, X Zhu, H Shao, Z Gong, P Liu 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 1 | 2019 |
| Environment Recognition Based on Temporal Filtering SVM Y Wang, P Liu, X Zhu, X Jin, Q Liu, J Qian China Satellite Navigation Conference (CSNC) 2018 Proceedings: Volume I, 403-414, 2018 | 1 | 2018 |
Liang SongFudan University, University of Toronto (Adjunct)在 ieee.org 的电子邮件经过验证
