Baichuan Yuan

According to our database, Baichuan Yuan authored at least 11 papers between 2017 and 2025.

Collaborative distances:

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

2025

Learning Graph Quantized Tokenizers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Graph Quantized Tokenizers for Transformers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

CoRR, 2024

2023

Do We Really Need Complicated Model Architectures For Temporal Networks?

Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits.

Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization.

Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi

J. Imaging, 2021

2020

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities.

Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction.

Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter

SIAM J. Math. Data Sci., 2019

SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes.

Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data.

Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham

CoRR, 2018

Automatic valve segmentation in cardiac ultrasound time series data.

Yoni Dukler, Yurun Ge, Yizhou Qian, Shintaro Yamamoto, Baichuan Yuan, Long Zhao, Andrea L. Bertozzi, Blake Hunter, Rafael Llerena, Jesse T. Yen

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Machine learning for cardiac ultrasound time series data.

Baichuan Yuan, Sathya R. Chitturi, Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Rafael Llerena, Jesse T. Yen, Andrea L. Bertozzi

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017