| Catboost-based framework with additional user information for social media popularity prediction P Kang, Z Lin, S Teng, G Zhang, L Guo, W Zhang Proceedings of the 27th ACM international conference on multimedia, 2677-2681, 2019 | 48 | 2019 |
| Regional maximum activations of convolutions with attention for cross-domain beauty and personal care product retrieval Z Lin, Z Yang, F Huang, J Chen Proceedings of the 26th ACM international conference on Multimedia, 2073-2077, 2018 | 29 | 2018 |
| Learning shared semantic space with correlation alignment for cross-modal event retrieval Z Yang, Z Lin, P Kang, J Lv, Q Li, W Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 27 | 2020 |
| Random forest exploiting post-related and user-related features for social media popularity prediction F Huang, J Chen, Z Lin, P Kang, Z Yang Proceedings of the 26th ACM international conference on Multimedia, 2013-2017, 2018 | 25 | 2018 |
| Depthgrasp: Depth completion of transparent objects using self-attentive adversarial network with spectral residual for grasping Y Tang, J Chen, Z Yang, Z Lin, Q Li, W Liu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 24 | 2021 |
| A layer-wise deep stacking model for social image popularity prediction Z Lin, F Huang, Y Li, Z Yang, W Liu World Wide Web 22, 1639-1655, 2019 | 16 | 2019 |
| Deep semantic space with intra-class low-rank constraint for cross-modal retrieval P Kang, Z Lin, Z Yang, X Fang, Q Li, W Liu Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019 | 12 | 2019 |
| MMED: a multi-domain and multi-modality event dataset Z Yang, Z Lin, L Guo, Q Li, W Liu Information Processing & Management 57 (6), 102315, 2020 | 10 | 2020 |
| Cross-domain beauty item retrieval via unsupervised embedding learning Z Lin, H Xie, P Kang, Z Yang, W Liu, Q Li Proceedings of the 27th ACM International Conference on Multimedia, 2543-2547, 2019 | 9 | 2019 |
| Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval P Kang, Z Lin, Z Yang, X Fang, AM Bronstein, Q Li, W Liu Applied Intelligence 52 (1), 33-54, 2022 | 8 | 2022 |
| Temporal graph convolutional network for multimodal sentiment analysis J Huang, Z Lin, Z Yang, W Liu Proceedings of the 2021 International Conference on Multimodal Interaction …, 2021 | 7 | 2021 |
| Cross-domain and cross-modality transfer learning for multi-domain and multi-modality event detection Z Yang, M Cheng, Q Li, Y Li, Z Lin, W Liu Web Information Systems Engineering–WISE 2017: 18th International Conference …, 2017 | 6 | 2017 |
| Learning semantic alignment from image for text-guided image inpainting Y Xie, Z Lin, Z Yang, H Deng, X Wu, X Mao, Q Li, W Liu The Visual Computer 38 (9), 3149-3161, 2022 | 4 | 2022 |
| A double phases generation network for yes or no question generation (student abstract) J Xie, F Chen, Y Cai, Z Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15931 …, 2021 | 3 | 2021 |
| Improving maximum classifier discrepancy by considering joint distribution for domain adaptation Z Lin, Z Yang, R Situ, F Huang, J Lv, Q Li, W Liu Web Information Systems Engineering–WISE 2018: 19th International Conference …, 2018 | 3 | 2018 |
| Multi-modal news event detection with external knowledge Z Lin, J Xie, Q Li Information Processing & Management 61 (3), 103697, 2024 | 2 | 2024 |
| Towards temporal event detection: A dataset, benchmarks and challenges Z Yang, Z Yang, Z Guo, Z Lin, H Zhu, Q Li, W Liu IEEE Transactions on Multimedia 26, 1102-1113, 2023 | 2 | 2023 |
| Towards temporal event detection: A dataset and benchmarks Z Yang, H Zhu, Z Guo, H Lin, Z Lin, Q Li, W Liu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 2 | 2022 |
| Comparison question generation based on potential compared attributes extraction J Xie, W Fang, Y Cai, Z Lin Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 2 | 2021 |
| Suicide ideation detection on social media during COVID-19 via adversarial and multi-task Learning J Li, Z Yan, Z Lin, X Liu, HV Leong, NX Yu, Q Li Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 2 | 2021 |
LIU WenyinGuangdong University of Technology, City University of Hong Kong, Microsoft Research China, Tsinghua在 cityu.edu.hk 的电子邮件经过验证
