| Towards stable test-time adaptation in dynamic wild world S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan arXiv preprint arXiv:2302.12400, 2023 | 124 | 2023 |
| Debiased visual question answering from feature and sample perspectives Z Wen, G Xu, M Tan, Q Wu, Q Wu Advances in Neural Information Processing Systems 34, 3784-3796, 2021 | 48 | 2021 |
| Deep transferring quantization Z Xie, Z Wen, J Liu, Z Liu, X Wu, M Tan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 16 | 2020 |
| Test-time model adaptation for visual question answering with debiased self-supervisions Z Wen, S Niu, G Li, Q Wu, M Tan, Q Wu IEEE Transactions on Multimedia, 2023 | 8 | 2023 |
| Modular graph attention network for complex visual relational reasoning Y Zheng, Z Wen, M Tan, R Zeng, Q Chen, Y Wang, Q Wu Proceedings of the Asian Conference on Computer Vision, 2020 | 6 | 2020 |
| Multi-granularity aggregation transformer for joint video-audio-text representation learning M He, W Du, Z Wen, Q Du, Y Xie, Q Wu IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 5 | 2022 |
| Towards effective deep transfer via attentive feature alignment Z Xie, Z Wen, Y Wang, Q Wu, M Tan Neural Networks 138, 98-109, 2021 | 5 | 2021 |
| Digging out discrimination information from generated samples for robust visual question answering Z Wen, Y Wang, M Tan, Q Wu, Q Wu Findings of the Association for Computational Linguistics: ACL 2023, 6910-6928, 2023 | 3 | 2023 |
| Transformer-based relational inference network for complex visual relational reasoning M Tan, Z Wen, L Fang, Q Wu ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 2 | 2023 |
| Supplementary Material of “Deep Transferring Quantization” Z Xie, Z Wen, J Liu, Z Liu, X Wu, M Tan | | |
