Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals
2025Xuelong Mi, Alex Bo-Yuan Chen, Daniela Duarte, Erin Carey, Charlotte R. Taylor, Philipp N. Braaker, Mark Bright, Rafael G. Almeida, Jing-Xuan Lim, Virginia M. S. Ruetten, Yizhi Wang, Mengfan Wang, Weizhan Zhang, Wei Zheng, Michael E. Reitman, Yongkang Huang, Xiaoyu Wang, Lei Li, HanFei Deng, Song-Hai Shi, Kira E. Poskanzer, David A. Lyons, Axel Nimmerjahn, Misha B. Ahrens, and Guoqiang Yu
Cell
View publicationData science and its future in large neuroscience collaborations
2024Manuel Schottdorf, Guoqiang Yu, and Edgar Y. Walker
Neuron
Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework
2020Congchao Wang, Yizhi Wang, and Guoqiang Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence
SynQuant: An Automatic Tool to Quantify Synapses from Microscopy Images
2020Yizhi Wang, Congchao Wang, Petter Ranefall, Gerard Joey Broussard, Yinxue Wang, Guilai Shi, Boyu Lyu, Yue Wang, Lin Tian, and Guoqiang Yu
Bioinformatics
Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology
2019Yizhi Wang, Nicole V. DelRosso, Trisha V. Vaidyanathan, Michelle K. Cahill, Michael E. Reitman, Silvia Pittolo, Xuelong Mi, Guoqiang Yu, and Kira E. Poskanzer
Nature Neuroscience
View publicationmuSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking
2019Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, and Guoqiang Yu
Advances in Neural Information Processing Systems
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
2021Mengfan Wang, Boyu Lyu, and Guoqiang Yu
International Conference on Machine Learning
Graphical Time Warping for Joint Alignment of Multiple Curves
2016Yizhi Wang, David J. Miller, Kira Poskanzer, Yue Wang, Lin Tian, and Guoqiang Yu
Advances in Neural Information Processing Systems