Chuizheng Meng

According to our database1, Chuizheng Meng authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning.
CoRR, 2023

Time-delayed Multivariate Time Series Predictions.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning.
CoRR, 2022

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
PolSIRD: Modeling Epidemic Spread Under Intervention Policies.
J. Heal. Informatics Res., 2021

MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset.
CoRR, 2021

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Trust Relationship Prediction in Alibaba E-Commerce Platform.
IEEE Trans. Knowl. Data Eng., 2020

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations.
CoRR, 2020

Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics.
Proceedings of the 8th International Conference on Learning Representations, 2020

2018
Benchmarking deep learning models on large healthcare datasets.
J. Biomed. Informatics, 2018

2017
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.
CoRR, 2017


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