Xiao Shou

According to our database1, Xiao Shou authored at least 11 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.
CoRR, 2024

2023
Pairwise Causality Guided Transformers for Event Sequences.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Probabilistic Attention-to-Influence Neural Models for Event Sequences.
Proceedings of the International Conference on Machine Learning, 2023

Influence-Aware Attention for Multivariate Temporal Point Processes.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

Concurrent Multi-Label Prediction in Event Streams.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Causal Inference for Event Pairs in Multivariate Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predictive Modeling for Complex Care Management.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2019
Supervised Mixture Models for Population Health.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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