Erdős Number: 3
Einstein Number: 4
- Bruce Wang, Timothy Sudijono, Henry Kirveslahti, Tingran Gao, Doug M. Boyer, Sayan Mukherjee, and Lorin Crawford, "A Statistical Pipeline for Identifying Physical Features that Differentiate Classes of 3D Shapes." in revision (2019), bioRxiv doi:10.1101/701391
- Tingran Gao, Yifeng Fan, and Zhizhen Zhao, "Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy." under review (2019), arxiv:1906.01082
- Yunru Liu, Tingran Gao, and Haizhao Yang, "SelectNet: Learning to Sample from the Wild for Imbalanced Data Training." preprint (2019), arXiv:1905.09872
- Tingran Gao, Lek-Heng Lim, and Ke Ye, "Semi-Riemannian Manifold Optimization." preprint (2018), arXiv:1812.07643
- Courtney P. Orsbon, Nicholas J. Gidmark, Tingran Gao, and Callum F. Ross, "XROMM and diceCT Reveal a Hydraulic Mechanism of Tongue Base Retraction in Swallowing." Scientific Reports, to appear (2020)
- Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, and Yulong Lu, "Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation." Communications in Mathematical Sciences, Vol. 18, No. 1, pp. 163—188 (2020) DOI: https://dx.doi.org/10.4310/CMS.2020.v18.n1.a7
- Katie S. Collins, Stewart M. Edie, Tingran Gao, Rudiger Bieler, David Jablonski, "Spatial Filters of Function and Phylogeny Determine Morphological Disparity with Latitude." PLoS ONE, 14(8): e0221490 (2019) DOI: 10.1371/journal.pone.0221490
- Tingran Gao, "The Diffusion Geometry of Fibre Bundles: Horizontal Diffusion Maps." Applied and Computational Harmonic Analysis, online first, pp.1—69 (2019) DOI: 10.1016/j.acha.2019.08.001
- Tingran Gao, Jacek Brodzki, and Sayan Mukherjee, "The Geometry of Synchronization Problems and Learning Group Actions." Discrete & Computational Geometry, online first, pp.1—62 (2019) DOI: 10.1007/s00454-019-00100-2
- Tingran Gao, Shahar Z. Kovalsky, and Ingrid Daubechies, "Gaussian Process Landmarking on Manifolds." SIAM Journal on Mathematics of Data Science, 1(1), 208—236 (2019) DOI: 10.1137/18M1184035
- Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, and Ingrid Daubechies, "Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics." SIAM Journal on Mathematics of Data Science, 1(1), 237—267 (2019) DOI: 10.1137/18M1203481
- Tingran Gao, Gabriel S. Yapuncich, Ingrid Daubechies, Sayan Mukherjee, and Doug M. Boyer, "Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, with Application to a Biological Comparative Dataset with High Interspecific Variation." The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, Volume 301, Issue 4, 636—658 (2018) DOI: 10.1002/ar.23700
- Rujie Yin, Tingran Gao, Yue M. Lu, and Ingrid Daubechies, "A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets." SIAM Journal on Imaging Sciences, 10(2), 711—750 (2017) DOI: 10.1137/16M1091447
- Natasha S. Vitek, Carly L. Manz, Tingran Gao, Jonathan I. Bloch, Suzanne G. Strait, and Doug M. Boyer, "Semi-Supervised Determination of Pseudocryptic Morphotypes Using Observer-Free Characterizations of Anatomical Alignment and Shape." Ecology and Evolution, Volume 7, Issue 14, 5041—5055 (2017) DOI: 10.1002/ece3.3058
- Liping Zhang, Soon-Yi Wu, and Tingran Gao, "Improved Smoothing Newton Methods for $P_0$ Nonlinear Complementarity Problems." Applied Mathematics and Computation, Volume 215, Issue 1, 324—332 (2009) DOI: 10.1016/j.amc.2009.04.088
- Yifeng Fan, Tingran Gao, and Zhizhen Zhao, "Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations." Advances in Neural Information Processing Systems 32, 9041—9053, 2019
- Tingran Gao and Zhizhen Zhao, "Multi-Frequency Phase Synchronization." Proceedings of the 36th International Conference on Machine Learning, PMLR 97:2132—2141, 2019
- Tingran Gao, Shahab Asoodeh, Yi Huang, and James Evans, "Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds." Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 3630—3637, 2019 DOI: 10.1609/aaai.v33i01.33013630
- Shahab Asoodeh, Tingran Gao, and James Evans, "Curvature of Hypergraphs via Multi-Marginal Optimal Transport." 2018 IEEE Conference on Decision and Control (CDC), FL, USA, 2018, pp.1180—1185 DOI: 10.1109/CDC.2018.8619706
- Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, and Zhenxiao Liang, "SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions." Proceedings of the 35th International Conference on Machine Learning, PMLR 80:324—333, 2018