Interbn: Channel fusion for adversarial unsupervised domain adaptation M Wang, W Wang, B Li, X Zhang, L Lan, H Tan, T Liang, W Yu, Z Luo Proceedings of the 29th ACM international conference on multimedia, 3691-3700, 2021 | 30* | 2021 |
Reducing Bi-level Feature Redundancy for Unsupervised Domain Adaptation M Wang, S Wang, W Wang, L Shen, X Zhang, L Lan, Z Luo Pattern Recognition, 2023 | 27* | 2023 |
Deal: An unsupervised domain adaptive framework for graph-level classification N Yin, L Shen, B Li, M Wang, X Luo, C Chen, Z Luo, XS Hua Proceedings of the 30th ACM International Conference on Multimedia, 3470-3479, 2022 | 27 | 2022 |
Omg: Towards effective graph classification against label noise N Yin, L Shen, M Wang, X Luo, Z Luo, D Tao IEEE Transactions on Knowledge and Data Engineering 35 (12), 12873-12886, 2023 | 25 | 2023 |
Semantic data augmentation based distance metric learning for domain generalization M Wang, J Yuan, Q Qian, Z Wang, H Li Proceedings of the 30th ACM international conference on multimedia, 3214-3223, 2022 | 25 | 2022 |
Confidence regularized label propagation based domain adaptation W Wang, B Li, M Wang, F Nie, Z Wang, H Li IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3319-3333, 2021 | 22 | 2021 |
Informative pairs mining based adaptive metric learning for adversarial domain adaptation M Wang, P Li, L Shen, Y Wang, S Wang, W Wang, X Zhang, J Chen, ... Neural Networks 151, 238-249, 2022 | 19 | 2022 |
Coco: A coupled contrastive framework for unsupervised domain adaptive graph classification N Yin, L Shen, M Wang, L Lan, Z Ma, C Chen, XS Hua, X Luo International Conference on Machine Learning, 40040-40053, 2023 | 18 | 2023 |
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective S Wang,L Zhang,P Wang,M Wang, Z Luo Pattern Recognition, 2022 | 18* | 2022 |
Promptrestorer: A prompting image restoration method with degradation perception C Wang, J Pan, W Wang, J Dong, M Wang, Y Ju, J Chen Advances in Neural Information Processing Systems 36, 8898-8912, 2023 | 13 | 2023 |
Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization M Wang, J Yuan, S Wang, W Wang, L Lan, F Nie IEEE Transactions on Image Processing, 2024 | 10 | 2024 |
Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning W Shao, R Xiao, P Rajapaksha, M Wang, N Crespi, Z Luo, R Minerva Pattern Recognition 143, 109765, 2023 | 10 | 2023 |
A Closer Look at the Joint Training of Object Detection and Re-identification in Multi-Object Tracking T Liang, B Li, M Wang, H Tan, Z Luo IEEE Transactions on Image Processing, 2022 | 9 | 2022 |
An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation W Yu, T Chang, X Guo, M Wang, X Wang Neural Networks 142, 573-582, 2021 | 9 | 2021 |
Spatio-temporal action detector with self-attention X Ma, Z Luo, X Zhang, Q Liao, X Shen, M Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network J Chen, J Wang, Z Dai, H Wu, M Wang, Q Zhang, H Wang ACM Multimedia 2023, 2023 | 7* | 2023 |
Dynamic spiking graph neural networks N Yin, M Wang, Z Chen, G De Masi, H Xiong, B Gu Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16495 …, 2024 | 6 | 2024 |
Disentangled representation learning with causality for unsupervised domain adaptation S Wang, Y Chen, Z He, X Yang, M Wang, Q You, X Zhang Proceedings of the 31st ACM International Conference on Multimedia, 2918-2926, 2023 | 6 | 2023 |
Boosting unsupervised domain adaptation: A Fourier approach M Wang, S Wang, Y Wang, W Wang, T Liang, J Chen, Z Luo Knowledge-Based Systems 264, 110325, 2023 | 6 | 2023 |
Geore: A relation extraction dataset for chinese geometry problems W Yu, M Wang, X Wang, X Zhou, Y Zha, Y Zhang, S Miao, J Liu 35th Conference on Neural Information Processing Systems (NeurIPS 2021 …, 2021 | 6 | 2021 |