| Generalizing from a Few Examples: A Survey on Few-Shot Learning Y Wang, Q Yao, J Kwok, LM Ni ACM Computing Surveys 53 (3), 1-34, 2020 | 3168 | 2020 |
| Property-Aware Relation Networks for Few-shot Molecular Property Prediction Y Wang, A Abuduweili, Q Yao, D Dou Advances in Neural Information Processing Systems (NeurIPS) 34, 17441-17454, 2021 | 65 | 2021 |
| Generative time series forecasting with diffusion, denoise, and disentanglement Y Li, X Lu, Y Wang, D Dou Advances in Neural Information Processing Systems (NeurIPS) 35, 23009-23022, 2022 | 63 | 2022 |
| Scalable Online Convolutional Sparse Coding Y Wang, Q Yao, JT Kwok, LM Ni IEEE Transactions on Image Processing (TIP), 2018 | 57* | 2018 |
| Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification Y Wang, S Wang, Q Yao, D Dou Conference on Empirical Methods in Natural Language Processing (EMNLP) 1 …, 2021 | 40 | 2021 |
| Recognizing Medical Search Query Intent by Few-shot Learning Y Wang, S Wang, Y Li, D Dou International ACM SIGIR Conference on Research and Development in …, 2022 | 14 | 2022 |
| A Novel Tensor Learning Model for Joint Relational Triplet Extraction Z Wang, H Nie, W Zheng, Y Wang, X Li IEEE Transactions on Cybernetics (TCYB), 2023 | 10 | 2023 |
| Online Convolutional Sparse Coding with Sample-Dependent Dictionary Y Wang, Q Yao, JT Kwok, LM Ni The 35th International Conference on Machine Learning (ICML), 2018 | 9 | 2018 |
| A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning Y Wang, Q Yao, JT Kwok The Web Conference (WWW), 1798–1808, 2021 | 8 | 2021 |
| Generalized Convolutional Sparse Coding with Unknown Noise Y Wang, JT Kwok, LM Ni IEEE Transactions on Image Processing (TIP), 2020 | 8 | 2020 |
| Simplified Graph Learning for Inductive Short Text Classification K Zheng, Y Wang, Q Yao, D Dou Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2022 | 6 | 2022 |
| Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models X Li, H Xiong, Y Liu, D Zhou, Z Chen, Y Wang, D Dou Machine Learning (MLJ), 1-33, 2022 | 6 | 2022 |
| Zero-shot learning with a partial set of observed attributes Y Wang, JT Kwok, Q Yao, LM Ni International Joint Conference on Neural Networks (IJCNN), 3777-3784, 2017 | 6 | 2017 |
| Feynman: Federated Learning-based Advertising for Ecosystems-Oriented Mobile Apps Recommendation J Bian, J Huang, S Ji, Y Liao, X Li, Q Wang, J Zhou, D Dou, Y Wang, ... IEEE Transactions on Services Computing (TSC), 2023 | 4 | 2023 |
| ColdNAS: Search to Modulate for User Cold-Start Recommendation S Wu, Y Wang, Q Jing, D Dong, D Dou, Q Yao The Web Conference (WWW), 1021-1031, 2023 | 4 | 2023 |
| Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning Y Wang, Z Yang, Q Yao Communications Medicine 4 (1), 59, 2024 | 3 | 2024 |
| Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering Y Wen, C Gao, L Yi, L Qiu, Y Wang, Y Li ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023 | 3 | 2023 |
| PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction S Wu, Y Wang, Q Yao International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 2* | 2024 |
| Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Q Yao, Z Shen, Y Wang, D Dou IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 2 | 2024 |
| RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning Y Wang, X Tian, H Xiong, Y Li, Z Chen, S Guo, D Dou Findings of ACL: NAACL, 2022 | 2 | 2022 |
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
