| MMJN: Multi-modal joint networks for 3D shape recognition W Nie, Q Liang, AA Liu, Z Mao, Y Li Proceedings of the 27th ACM international conference on multimedia, 908-916, 2019 | 16 | 2019 |
| Exposing deepfake videos using attention based convolutional lstm network Y Su, H Xia, Q Liang, W Nie Neural Processing Letters 53, 4159-4175, 2021 | 15 | 2021 |
| MVCLN: multi-view convolutional LSTM network for cross-media 3D shape recognition Q Liang, Y Wang, W Nie, Q Li IEEE Access 8, 139792-139802, 2020 | 15 | 2020 |
| MMFN: Multimodal information fusion networks for 3D model classification and retrieval W Nie, Q Liang, Y Wang, X Wei, Y Su ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 13 | 2020 |
| MHFP: Multi-view based hierarchical fusion pooling method for 3D shape recognition Q Liang, Q Li, L Zhang, H Mi, W Nie, X Li Pattern Recognition Letters 150, 214-220, 2021 | 10 | 2021 |
| PAGN: perturbation adaption generation network for point cloud adversarial defense Q Liang, Q Li, W Nie, AA Liu Multimedia Systems 28 (3), 851-859, 2022 | 9 | 2022 |
| Unsupervised cross-media graph convolutional network for 2D image-based 3D model retrieval Q Liang, Q Li, W Nie, AA Liu IEEE Transactions on Multimedia 25, 3443-3455, 2022 | 9 | 2022 |
| Panorama based on multi-channel-attention CNN for 3D model recognition W Nie, K Wang, Q Liang, R He Multimedia Systems 25 (6), 655-662, 2019 | 9 | 2019 |
| Jfln: Joint feature learning network for 2d sketch based 3d shape retrieval Y Zhao, Q Liang, R Ma, W Nie, Y Su Journal of Visual Communication and Image Representation 89, 103668, 2022 | 7 | 2022 |
| LD-GAN: Learning perturbations for adversarial defense based on GAN structure Q Liang, Q Li, W Nie Signal Processing: Image Communication 103, 116659, 2022 | 6 | 2022 |
| LP-GAN: Learning perturbations based on generative adversarial networks for point cloud adversarial attacks Q Liang, Q Li, S Yang Image and Vision Computing 120, 104370, 2022 | 6 | 2022 |
| 3D shape recognition based on multi-modal information fusion Q Liang, M Xiao, D Song Multimedia Tools and Applications 80 (11), 16173-16184, 2021 | 4 | 2021 |
| Two-stream network based on visual saliency sharing for 3D model recognition W Nie, L Qu, M Ren, Q Liang, Y Su, Y Li, H Jin IEEE Access 8, 5979-5989, 2020 | 4 | 2020 |
| Multimodal information fusion based on LSTM for 3D model retrieval Q Liang, N Xu, W Wang, X Long Multimedia Tools and Applications 79, 33943-33956, 2020 | 3 | 2020 |
| LIMAN: Local information-based multiattention network for 3D shape recognition W Nie, Y Ke, Y Zhao, Q Liang, Y Su IEEE MultiMedia 29 (1), 65-73, 2021 | 2 | 2021 |
| Principal views selection based on growing graph convolution network for multi-view 3D model recognition Q Liang, Q Li, W Nie, Y Su Applied Intelligence 53 (5), 5320-5336, 2023 | | 2023 |
| Structure Activity of Pb2+ Adsorbed by Modified Streptomyces erythreus JF Wang, CM Zhong, Q Liang, XB Li, H Zhu Advanced Materials Research 662, 348-351, 2013 | | 2013 |
Weizhi NieTianjin UniversityVerified email at tju.edu.cn
Weizhi NieTianjin UniversityVerified email at tju.edu.cn