Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging X Zhang, X Xu, Q Tian, B Li, Y Wu, Z Yang, Z Liang, Y Liu, G Cui, H Lu Journal of Magnetic Resonance Imaging 46 (5), 1281-1288, 2017 | 164 | 2017 |
Personalized long-and short-term preference learning for next POI recommendation Y Wu, K Li, G Zhao, X Qian IEEE Transactions on Knowledge and Data Engineering 34 (4), 1944-1957, 2020 | 141 | 2020 |
Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI X Xu, X Zhang, Q Tian, G Zhang, Y Liu, G Cui, J Meng, Y Wu, T Liu, ... International journal of computer assisted radiology and surgery 12, 645-656, 2017 | 81 | 2017 |
Long-and short-term preference learning for next POI recommendation Y Wu, K Li, G Zhao, X Qian Proceedings of the 28th ACM international conference on information and …, 2019 | 78 | 2019 |
Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps X Xu, Y Liu, X Zhang, Q Tian, Y Wu, G Zhang, J Meng, Z Yang, H Lu Abdominal radiology 42, 1896-1905, 2017 | 57 | 2017 |
State graph reasoning for multimodal conversational recommendation Y Wu, L Liao, G Zhang, W Lei, G Zhao, X Qian, TS Chua IEEE Transactions on Multimedia 25, 3113-3124, 2022 | 35 | 2022 |
Multisample-based contrastive loss for top-k recommendation H Tang, G Zhao, Y Wu, X Qian IEEE Transactions on Multimedia 25, 339-351, 2021 | 31 | 2021 |
Annular-graph attention model for personalized sequential recommendation J Hao, Y Dun, G Zhao, Y Wu, X Qian IEEE Transactions on Multimedia 24, 3381-3391, 2021 | 22 | 2021 |
Ranking-based contrastive loss for recommendation systems H Tang, G Zhao, Y He, Y Wu, X Qian Knowledge-Based Systems 261, 110180, 2023 | 13 | 2023 |
LAST: Location-appearance-semantic-temporal clustering based POI summarization X Qian, Y Wu, M Li, Y Ren, S Jiang, Z Li IEEE Transactions on Multimedia 23, 378-390, 2020 | 13 | 2020 |
IDH mutation assessment of glioma using texture features of multimodal MR images X Zhang, Q Tian, YX Wu, XP Xu, BJ Li, YX Liu, Y Liu, HB Lu Medical Imaging 2017: Computer-Aided Diagnosis 10134, 462-469, 2017 | 11 | 2017 |
Semi-supervised new slot discovery with incremental clustering Y Wu, L Liao, X Qian, TS Chua Findings of the Association for Computational Linguistics: EMNLP 2022, 6207-6218, 2022 | 7 | 2022 |
Viewpoint recommendation based on object-oriented 3D scene reconstruction K Li, Y Wu, Y Xue, X Qian IEEE Transactions on Multimedia 23, 257-267, 2020 | 7 | 2020 |
Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression K Zheng, B Li, H Lu, H Wang, J Liu, B Yan, KJ Friston, Y Wu, J Liu, ... European Archives of Psychiatry and Clinical Neuroscience 273 (1), 169-181, 2023 | 5 | 2023 |
Few-shot learning on graphs: from meta-learning to pre-training and prompting X Yu, Y Fang, Z Liu, Y Wu, Z Wen, J Bo, X Zhang, SCH Hoi arXiv preprint arXiv:2402.01440, 2024 | 4 | 2024 |
Multi-contrast MRI registration of carotid arteries based on cross-sectional images and lumen boundaries YX Wu, X Zhang, XP Xu, Y Liu, GP Zhang, BJ Li, HJ Chen, HB Lu Medical Imaging 2017: Image Processing 10133, 584-590, 2017 | 4 | 2017 |
On the Feasibility of Simple Transformer for Dynamic Graph Modeling Y Wu, Y Fang, L Liao Proceedings of the ACM on Web Conference 2024, 870-880, 2024 | 3 | 2024 |
Active discovering new slots for task-oriented conversation Y Wu, T Dai, Z Zheng, L Liao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 2 | 2024 |
Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model Y Wu, G Zhao, M Li, Z Zhang, X Qian IEEE Transactions on Multimedia, 2023 | 1 | 2023 |
Fine-grained semantic textual similarity measurement via a feature separation network Q Chen, G Zhao, Y Wu, X Qian Applied Intelligence 53 (15), 18205-18218, 2023 | 1 | 2023 |