Improved smoothing Newton methods for P0 nonlinear complementarity problems. - Liping Zhang; Soon-Yi Wu; Tingran Gao (Appl. Math. Comput., 2009)

Regularization on Image Patches: a linear reconstruction from manifold embedding. - Rujie Yin; Tingran Gao; Yue Lu; Ingrid Daubechies (CoRR, 2016)

A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets. - Rujie Yin; Tingran Gao; Yue Lu; Ingrid Daubechies (SIAM J. Imaging Sci., 2017)

Curvature of Hypergraphs via Multi-Marginal Optimal Transport. - Shahab Asoodeh; Tingran Gao; James Evans (CDC, 2018)

SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. - Chandrajit Bajaj; Tingran Gao; Zihang He; Qixing Huang; Zhenxiao Liang (ICML, 2018)

Gaussian Process Landmarking on Manifolds. - Tingran Gao; Shahar Z. Kovalsky; Doug M. Boyer; Ingrid Daubechies (CoRR, 2018)

Semi-Riemannian Manifold Optimization. - Tingran Gao; Lek-Heng Lim; Ke Ye (CoRR, 2018)

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. - Tingran Gao; Shahab Asoodeh; Yi Huang; James Evans (AAAI, 2019)

Multi-Frequency Phase Synchronization. - Tingran Gao; Zhizhen Zhao 001 (ICML, 2019)

Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. - Yifeng Fan; Tingran Gao; Zhizhen Zhao 001 (NeurIPS, 2019)

Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation. - Yuanyuan Feng; Tingran Gao; Lei Li 006; Jian-Guo Liu 006; Yulong Lu (CoRR, 2019)

Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. - Tingran Gao; Yifeng Fan; Zhizhen Zhao 001 (CoRR, 2019)

Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. - Tingran Gao; Shahar Z. Kovalsky; Doug M. Boyer; Ingrid Daubechies (SIAM J. Math. Data Sci., 2019)

Gaussian Process Landmarking on Manifolds. - Tingran Gao; Shahar Z. Kovalsky; Ingrid Daubechies (SIAM J. Math. Data Sci., 2019)

SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. - Yunru Liu; Tingran Gao; Haizhao Yang (MSML, 2020)

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. - Naganand Yadati; Tingran Gao; Shahab Asoodeh; Partha P. Talukdar; Anand Louis (PAKDD (1), 2021)

The Geometry of Synchronization Problems and Learning Group Actions. - Tingran Gao; Jacek Brodzki; Sayan Mukherjee 001 (Discret. Comput. Geom., 2021)