Set-sequence-graph: A multi-view approach towards exploiting reviews for recommendation J Gao, Y Lin, Y Wang, X Wang, Z Yang, Y He, X Chu Proceedings of the 29th ACM International Conference on Information …, 2020 | 46 | 2020 |
MLRDA: A multi-task semi-supervised learning framework for drug-drug interaction prediction X Chu, Y Lin, Y Wang, L Wang, J Wang, J Gao Proceedings of the 28th international joint conference on artificial …, 2019 | 39 | 2019 |
M3care: Learning with missing modalities in multimodal healthcare data C Zhang, X Chu, L Ma, Y Zhu, Y Wang, J Wang, J Zhao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 33 | 2022 |
Dna: Domain generalization with diversified neural averaging X Chu, Y Jin, W Zhu, Y Wang, X Wang, S Zhang, H Mei International Conference on Machine Learning, 4010-4034, 2022 | 31 | 2022 |
Star: Spatio-temporal taxonomy-aware tag recommendation for citizen complaints J Gao, Y He, Y Wang, X Wang, J Wang, G Peng, X Chu Proceedings of the 28th ACM International Conference on Information and …, 2019 | 13 | 2019 |
Neighbor profile: Bagging nearest neighbors for unsupervised time series mining Y He, X Chu, Y Wang 2020 IEEE 36th International Conference on Data Engineering (ICDE), 373-384, 2020 | 11 | 2020 |
Patient health representation learning via correlational sparse prior of medical features X Ma, Y Wang, X Chu, L Ma, W Tang, J Zhao, Y Yuan, G Wang IEEE Transactions on Knowledge and Data Engineering, 2022 | 10 | 2022 |
Distance Metric Learning with Joint Representation Diversification X Chu, Y Lin, Y Wang, X Wang, H Yu, X Gao, Q Tong Proceedings of the Thirty-seventh International Conference on Machine …, 2020 | 9 | 2020 |
Improving generalization of meta-learning with inverted regularization at inner-level L Wang, S Zhou, S Zhang, X Chu, H Chang, W Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
Towards sustainable compressive population health: a GAN-based year-by-year imputation method Y Feng, J Wang, Y Wang, X Chu ACM Transactions on Computing for Healthcare 4 (1), 1-18, 2023 | 7 | 2023 |
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications X Ma, X Chu, Y Wang, Y Lin, J Zhao, L Ma, W Zhu Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
Seqcare: Sequential training with external medical knowledge graph for diagnosis prediction in healthcare data Y Xu, X Chu, K Yang, Z Wang, P Zou, H Ding, J Zhao, Y Wang, B Xie Proceedings of the ACM Web Conference 2023, 2819-2830, 2023 | 5 | 2023 |
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models X Jiang, R Zhang, Y Xu, R Qiu, Y Fang, Z Wang, J Tang, H Ding, X Chu, ... arXiv preprint arXiv:2312.15883, 2023 | 4 | 2023 |
Characteristic subspace learning for time series classification Y He, J Pei, X Chu, Y Wang, Z Jin, G Peng 2018 IEEE International Conference on Data Mining (ICDM), 1019-1024, 2018 | 4 | 2018 |
Multi-label robust factorization autoencoder and its application in predicting drug-drug interactions X Chu, Y Lin, J Gao, J Wang, Y Wang, L Wang arXiv preprint arXiv:1811.00208, 2018 | 4 | 2018 |
Enhancing neural topic model with multi-level supervisions from seed words Y Lin, X Gao, X Chu, Y Wang, J Zhao, C Chen Findings of the Association for Computational Linguistics: ACL 2023, 13361-13377, 2023 | 2 | 2023 |
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation X Ma, X Chu, Z Yang, Y Lin, X Gao, J Zhao arXiv preprint arXiv:2404.04316, 2024 | 1 | 2024 |
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation R Zhang, X Jiang, Y Fang, J Luo, Y Xu, Y Zhu, X Chu, J Zhao, Y Zhao arXiv preprint arXiv:2401.09943, 2024 | 1 | 2024 |
Graph Interpolation via Fast Fused-Gromovization X Ma, X Chu, Y Wang, Y Lin, J Zhao, L Ma, W Zhu arXiv preprint arXiv:2306.15963, 2023 | 1 | 2023 |
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks X Chu, Y Jin, X Wang, S Zhang, Y Wang, W Zhu, H Mei Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 1 | 2023 |