| Benchmarking deep learning models on large healthcare datasets S Purushotham, C Meng, Z Che, Y Liu Journal of biomedical informatics 83, 112-134, 2018 | 531 | 2018 |
| Coronavirus on social media: Analyzing misinformation in Twitter conversations K Sharma, S Seo, C Meng, S Rambhatla, A Dua, Y Liu | 257* | 2020 |
| Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset C Meng, L Trinh, N Xu, J Enouen, Y Liu Scientific Reports 12 (1), 7166, 2022 | 175* | 2022 |
| Cross-node federated graph neural network for spatio-temporal data modeling C Meng, S Rambhatla, Y Liu Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 128 | 2021 |
| When physics meets machine learning: A survey of physics-informed machine learning C Meng, S Seo, D Cao, S Griesemer, Y Liu arXiv preprint arXiv:2203.16797, 2022 | 92 | 2022 |
| Physics-aware difference graph networks for sparsely-observed dynamics S Seo, C Meng, Y Liu International Conference on Learning Representations, 2019 | 73 | 2019 |
| Trust relationship prediction in alibaba E-commerce platform Y Cen, J Zhang, G Wang, Y Qian, C Meng, Z Dai, H Yang, J Tang IEEE Transactions on Knowledge and Data Engineering 32 (5), 1024-1035, 2019 | 45 | 2019 |
| Structure-informed graph auto-encoder for relational inference and simulation Y Li, C Meng, C Shahabi, Y Liu ICML Workshop on Learning and Reasoning with Graph-Structured Data 8, 2, 2019 | 24 | 2019 |
| 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 | 20 | 2023 |
| Mu2rest: Multi-resolution recursive spatio-temporal transformer for long-term prediction H Niu, C Meng, D Cao, G Habault, R Legaspi, S Wada, C Ono, Y Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 68-80, 2022 | 12 | 2022 |
| Physics-aware spatiotemporal modules with auxiliary tasks for meta-learning S Seo, C Meng, S Rambhatla, Y Liu arXiv preprint arXiv:2006.08831, 2020 | 9 | 2020 |
| PolSIRD: modeling epidemic spread under intervention policies: analyzing the first wave of COVID-19 in the USA N Kamra, Y Zhang, S Rambhatla, C Meng, Y Liu Journal of Healthcare Informatics Research 5 (3), 231-248, 2021 | 8* | 2021 |
| Time-delayed Multivariate Time Series Predictions H Niu, G Habault, R Legaspi, C Meng, D Cao, S Wada, C Ono, Y Liu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 7 | 2023 |
| Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data C Meng, H Niu, G Habault, R Legaspi, S Wada, C Ono, Y Liu IJCAI, 2022 | 7 | 2022 |
| COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning C Meng, Y Dong, SÖ Arık, Y Liu, T Pfister arXiv preprint arXiv:2311.00886, 2023 | 2 | 2023 |
| An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Q Huang, C Meng, D Cao, B Huang, Y Chang, Y Liu Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
