Tingran Gao

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 22

Top Topics

Label Propagation

Hyperparameters

Gaussian Process

Top Venues

SIAM J. Math. Data Sci.

Discret. Comput. Geom.

Publications

Tingran Gao, Jacek Brodzki, Sayan Mukherjee
The Geometry of Synchronization Problems and Learning Group Actions. Discret. Comput. Geom. 65 (1) (2021)
Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) (2021)
Yunru Liu, Tingran Gao, Haizhao Yang
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. MSML (2020)
Yifeng Fan, Tingran Gao, Zhizhen Zhao
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. CoRR (2019)
Tingran Gao, Zhizhen Zhao
Multi-Frequency Phase Synchronization. ICML (2019)
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies
Gaussian Process Landmarking on Manifolds. SIAM J. Math. Data Sci. 1 (1) (2019)
Tingran Gao, Zhizhen Zhao
Multi-Frequency Phase Synchronization. CoRR (2019)
Yunru Liu, Tingran Gao, Haizhao Yang
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. CoRR (2019)
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. AAAI (2019)
Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies
Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. SIAM J. Math. Data Sci. 1 (1) (2019)
Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, Yulong Lu
Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation. CoRR (2019)
Yifeng Fan, Tingran Gao, Zhizhen Zhao
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. NeurIPS (2019)
Tingran Gao, Yifeng Fan, Zhizhen Zhao
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. CoRR (2019)
Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. ICML (2018)
Shahab Asoodeh, Tingran Gao, James Evans
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CoRR (2018)
Shahab Asoodeh, Tingran Gao, James Evans
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CDC (2018)
Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies
Gaussian Process Landmarking on Manifolds. CoRR (2018)
Tingran Gao, Lek-Heng Lim, Ke Ye
Semi-Riemannian Manifold Optimization. CoRR (2018)
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. CoRR (2018)
Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets. SIAM J. Imaging Sci. 10 (2) (2017)
Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies
Regularization on Image Patches: a linear reconstruction from manifold embedding. CoRR (2016)
Tingran Gao, Jacek Brodzki, Sayan Mukherjee
The Geometry of Synchronization Problems and Learning Group Actions. CoRR (2016)
Liping Zhang, Soon-Yi Wu, Tingran Gao
nonlinear complementarity problems. Appl. Math. Comput. 215 (1) (2009)