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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

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 (Image Processing, 2018)

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. - Bao Wang 001; Xiyang Luo; Fangbo Zhang; Baichuan Yuan; Andrea L. Bertozzi; P. Jeffrey Brantingham (CoRR, 2018)

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 001; Andrea L. Bertozzi; Jeremy G. Carter; Brad Ray; George O. Mohler (PKDD/ECML Workshops (1), 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)

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. - Baichuan Yuan; Xiaowei Wang; Jianxin Ma; Chang Zhou; Andrea L. Bertozzi; Hongxia Yang (ICLR, 2020)

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. - Hannah Dröge; Baichuan Yuan; Rafael Llerena; Jesse T. Yen; Michael Möller 001; Andrea L. Bertozzi (J. Imaging, 2021)

Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. - Yan Li 074; Dhruv Choudhary; Xiaohan Wei; Baichuan Yuan; Bhargav Bhushanam; Tuo Zhao; Guanghui Lan (ICLR, 2022)

Do We Really Need Complicated Model Architectures For Temporal Networks? - Weilin Cong; Si Zhang; Jian Kang 008; Baichuan Yuan; Hao Wu; Xin Zhou; Hanghang Tong; Mehrdad Mahdavi (ICLR, 2023)

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)

Learning Graph Quantized Tokenizers. - Limei Wang; Kaveh Hassani; Si Zhang; Dongqi Fu; Baichuan Yuan; Weilin Cong; Zhigang Hua; Hao Wu; Ning Yao; Bo Long (ICLR, 2025)