| COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation J Pustejovsky, Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, ... The 2021 Conference of the North American Chapter of the Association for …, 0 | 141* | |
| Prompt learning with optimal transport for vision-language models G Chen, W Yao, X Song, X Li, Y Rao, K Zhang The Eleventh International Conference on Learning Representations, 2023 | 87* | 2023 |
| Comprehensive named entity recognition on cord-19 with distant or weak supervision X Wang, X Song, B Li, Y Guan, J Han 2020 Intelligent Systems for Molecular Biology (ISMB’20), Abstracts, 2020 | 67 | 2020 |
| Attentive knowledge-aware graph convolutional networks with collaborative guidance for personalized recommendation Y Chen, Y Yang, Y Wang, J Bai, X Song, I King 2022 IEEE 38th International Conference on Data Engineering (ICDE), 299-311, 2022 | 46 | 2022 |
| Learning multi-granularity consecutive user intent unit for session-based recommendation J Guo, Y Yang, X Song, Y Zhang, Y Wang, J Bai, Y Zhang Proceedings of the fifteenth ACM International conference on web search and …, 2022 | 43 | 2022 |
| Taxonomy completion via triplet matching network J Zhang, X Song, Y Zeng, J Chen, J Shen, Y Mao, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4662-4670, 2021 | 30 | 2021 |
| ChemNER: Fine-grained chemistry named entity recognition with ontology-guided distant supervision X Wang, V Hu, X Song, S Garg, J Xiao, J Han Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 29 | 2021 |
| Taxoenrich: Self-supervised taxonomy completion via structure-semantic representations M Jiang, X Song, J Zhang, J Han Proceedings of the ACM Web Conference 2022, 925-934, 2022 | 22 | 2022 |
| Bite-gcn: A new GCN architecture via bidirectional convolution of topology and features on text-rich networks D Jin, X Song, Z Yu, Z Liu, H Zhang, Z Cheng, J Han Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 16 | 2021 |
| Creating training sets via weak indirect supervision J Zhang, B Wang, X Song, Y Wang, Y Yang, J Bai, A Ratner International Conference on Learning Representations, 2022 | 15 | 2022 |
| Fine-grained named entity recognition with distant supervision in COVID-19 literature X Wang, X Song, B Li, K Zhou, Q Li, J Han 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 15 | 2020 |
| Learning task-aware effective brain connectivity for fmri analysis with graph neural networks Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ... 2022 IEEE International Conference on Big Data (Big Data), 4995-4996, 2022 | 12 | 2022 |
| Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders D Cao, J Enouen, Y Wang, X Song, C Meng, H Niu, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6897-6905, 2023 | 10 | 2023 |
| Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion X Song, J Shen, J Zhang, J Han The Workshop on Self-Supervised Learning for the Web (SSL@WWW), 2021, 2021 | 9 | 2021 |
| A versatile causal discovery framework to allow causally-related hidden variables X Dong, B Huang, I Ng, X Song, Y Zheng, S Jin, R Legaspi, P Spirtes, ... arXiv preprint arXiv:2312.11001, 2023 | 3 | 2023 |
| Deep dag learning of effective brain connectivity for fmri analysis Y Yu, X Kan, H Cui, R Xu, Y Zheng, X Song, Y Zhu, K Zhang, R Nabi, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| Temporally Disentangled Representation Learning under Unknown Nonstationarity X Song, W Yao, Y Fan, X Dong, G Chen, JC Niebles, E Xing, K Zhang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting Z Li, R Cai, Z Yang, H Huang, G Chen, Y Shen, Z Chen, X Song, Z Hao, ... arXiv preprint arXiv:2402.12767, 2024 | | 2024 |
| Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models Y Fan, N Si, X Song, K Zhang arXiv preprint arXiv:2401.16692, 2024 | | 2024 |
| CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process G Chen, Y Shen, Z Chen, X Song, Y Sun, W Yao, X Liu, K Zhang arXiv preprint arXiv:2401.14535, 2024 | | 2024 |
