Xiao Shou

According to our database, Xiao Shou authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ODE-free Neural Flow Matching for One-Step Generative Modeling.

Xiao Shou

CoRR, April, 2026

Self-supervised contrastive pre-training for multivariate event streams.

Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett

Neurocomputing, 2026

2025

Unified Flow Matching for Long Horizon Event Forecasting.

Xiao Shou

CoRR, August, 2025

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training.

Xiao Shou, Yanna Ding, Jianxi Gao

CoRR, May, 2025

SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models.

Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Less Is More: Efficient Weight "Farcasting" with 1-Layer Neural Network.

Xiao Shou, Debarun Bhattacharjya, Yanna Ding, Chen Zhao, Rui Li, Jianxi Gao

Proceedings of the Database Systems for Advanced Applications, 2025

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation.

Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.

Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett

CoRR, 2024

2023

Pairwise Causality Guided Transformers for Event Sequences.

Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett

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.

Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett

Proceedings of the International Conference on Machine Learning, 2023

Influence-Aware Attention for Multivariate Temporal Point Processes.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Concurrent Multi-Label Prediction in Event Streams.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.

Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

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.

Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

Causal Inference for Event Pairs in Multivariate Point Processes.

Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett

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.

Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2019

Supervised Mixture Models for Population Health.

Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Nicholas Kuruzovich, Malik Magdon-Ismail, Kristin P. Bennett

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019