Baichuan Yuan - RankMe

15 papers A* 4A 1B 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Billion-Scale Graph Deep Learning Framework for Ads Recommendation. CIKM Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Li, Sem Park, Bo Long
2025	A*	`conf`	Learning Graph Quantized Tokenizers. ICLR Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2024	J	`jnl`	Learning Graph Quantized Tokenizers for Transformers. CoRR Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2023	A*	`conf`	Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2023	J	`jnl`	Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2022	A*	`conf`	Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. ICLR Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
2021	J	`jnl`	Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. CoRR Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
2021	J	`jnl`	Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi
2020	A*	`conf`	Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. ICLR Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang
2019	J	`jnl`	Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. SIAM J. Math. Data Sci. Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter
2019	—	`conf`	SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes. PKDD/ECML Workshops (1) Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler
2018	B	`conf`	Automatic valve segmentation in cardiac ultrasound time series data. Image Processing Yoni Dukler, Yurun Ge, Yizhou Qian, Shintaro Yamamoto, Baichuan Yuan, Long Zhao, Andrea L. Bertozzi, Blake Hunter, Rafael Llerena, Jesse T. Yen
2018	J	`jnl`	Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham
2018	J	`jnl`	Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction. CoRR Baichuan Yuan, Hao Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, Mason A. Porter
2017	—	`conf`	Machine learning for cardiac ultrasound time series data. Biomedical Applications in Molecular, Structural, and Functional Imaging Baichuan Yuan, Sathya R. Chitturi, Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Rafael Llerena, Jesse T. Yen, Andrea L. Bertozzi