| Ventral & dorsal stream theory based zero-shot action recognition M Xing, Z Feng, Y Su, W Peng, J Zhang Pattern Recognition 116, 107953, 2021 | 17 | 2021 |
| MemTrust: Find Deep Trust in Your Mind Y Xu, Z Feng, X Xue, S Chen, H Wu, X Zhou, M Xing, H Chen 2021 IEEE International Conference on Web Services (ICWS), 598-607, 2021 | 8 | 2021 |
| Attention-based neural networks for trust evaluation in online social networks Y Xu, Z Feng, X Zhou, M Xing, H Wu, X Xue, S Chen, C Wang, L Qi Information Sciences 630, 507-522, 2023 | 7 | 2023 |
| Vdarn: Video disentangling attentive relation network for few-shot and zero-shot action recognition Y Su, M Xing, S An, W Peng, Z Feng Ad Hoc Networks 113, 102380, 2021 | 7 | 2021 |
| Spatio-temporal large margin nearest neighbor (st-lmnn) based on riemannian features for individual identification Y Su, Z Feng, M Xing 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 6 | 2018 |
| Sequential articulated motion reconstruction from a monocular image sequence Y Su, Z Feng, J Zhang, W Peng, M Xing ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018 | 4 | 2018 |
| Energy-based Temporal Summarized Attentive Network for Zero-Shot Action Recognition C Qi, Z Feng, M Xing, Y Su, J Zheng, Y Zhang IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
| Cross-covariance matrix: Time-shifted correlations for 3D action recognition J Zhang, Z Feng, Y Su, M Xing Signal Processing 171, 107499, 2020 | 3 | 2020 |
| An image cues coding approach for 3D human pose estimation M Xing, Z Feng, Y Su, J Zhang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 3 | 2019 |
| Discriminative saliency-pose-attention covariance for action recognition J Zhang, Z Feng, Y Su, M Xing ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Model selection-knowledge distillation framework for model compression R Chen, S Yuan, S Wang, Z Li, M Xing, Z Feng 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-06, 2021 | 2 | 2021 |
| Riemannian spatio-temporal features of locomotion for individual recognition J Zhang, Z Feng, Y Su, M Xing, W Xue Sensors 19 (1), 56, 2018 | 2 | 2018 |
| Bayesian Covariance Representation with Global Informative Prior for 3D Action Recognition J Zhang, Z Feng, Y Su, M Xing ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 1 | 2021 |
| DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition C Qi, Z Feng, M Xing, Y Su Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 1 | 2021 |
| Spatio-temporal metric learning for individual recognition from locomotion Y Su, S An, Z Feng, M Xing, J Zhang Journal of Visual Communication and Image Representation 67, 102753, 2020 | 1 | 2020 |
| Metapath-Guided Multi-Headed Attention Networks for Trust Predictionin Heterogeneous Social Networks Y Xu, Z Feng, M Xing, H Wu, S Chen, X Xue Available at SSRN 4412751, 0 | 1* | |
| A Convex Relaxation Approach for Learning the Robust Koopman Operator Y Su, J Jin, W Peng, K Tang, A Khan, S An, M Xing Wireless Communications and Mobile Computing 2022, 2022 | | 2022 |
| Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection M Xing, Z Feng, Y Su, C Oh arXiv preprint arXiv:2204.11041, 2022 | | 2022 |
| Attention-Based Video Disentangling and Matching Network for Zero-Shot Action Recognition Y Su, S Zhu, M Xing, H Xu, Z Li Communications, Signal Processing, and Systems: Proceedings of the 10th …, 2022 | | 2022 |
| Spatio-temporal multi-factor model for individual identification from biological motion Y Su, W Peng, M Xing, Z Feng Ad Hoc Networks 112, 102371, 2021 | | 2021 |
