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2020 – today
- 2021
[j5]Tingran Gao
, Jacek Brodzki, Sayan Mukherjee:
The Geometry of Synchronization Problems and Learning Group Actions. Discret. Comput. Geom. 65(1): 150-211 (2021)- [c7]Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis:
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) 2021: 447-458 - 2020
- [c6]Yunru Liu, Tingran Gao, Haizhao Yang:
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. MSML 2020: 193-206
2010 – 2019
- 2019
- [j4]Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. SIAM J. Math. Data Sci. 1(1): 208-236 (2019) - [j3]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): 237-267 (2019) - [c5]Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. AAAI 2019: 3630-3637 - [c4]Tingran Gao, Zhizhen Zhao:
Multi-Frequency Phase Synchronization. ICML 2019: 2132-2141 - [c3]Yifeng Fan, Tingran Gao, Zhizhen Zhao:
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. NeurIPS 2019: 9038-9050 - [i11]Tingran Gao, Zhizhen Zhao:
Multi-Frequency Phase Synchronization. CoRR abs/1901.08235 (2019) - [i10]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 abs/1902.00635 (2019) - [i9]Yunru Liu, Tingran Gao, Haizhao Yang:
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. CoRR abs/1905.09872 (2019) - [i8]Tingran Gao, Yifeng Fan, Zhizhen Zhao:
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. CoRR abs/1906.01082 (2019) - [i7]Yifeng Fan, Tingran Gao, Zhizhen Zhao:
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. CoRR abs/1906.02707 (2019) - 2018
- [c2]Shahab Asoodeh, Tingran Gao, James Evans:
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CDC 2018: 1180-1185 - [c1]Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang:
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions. ICML 2018: 334-343 - [i6]Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. CoRR abs/1802.03479 (2018) - [i5]Shahab Asoodeh, Tingran Gao, James Evans:
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CoRR abs/1803.08584 (2018) - [i4]Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans:
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. CoRR abs/1809.01833 (2018) - [i3]Tingran Gao, Lek-Heng Lim, Ke Ye:
Semi-Riemannian Manifold Optimization. CoRR abs/1812.07643 (2018) - 2017
- [j2]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): 711-750 (2017) - 2016
- [i2]Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies:
Regularization on Image Patches: a linear reconstruction from manifold embedding. CoRR abs/1606.01377 (2016) - [i1]Tingran Gao, Jacek Brodzki, Sayan Mukherjee:
The Geometry of Synchronization Problems and Learning Group Actions. CoRR abs/1610.09051 (2016)
2000 – 2009
- 2009
- [j1]Liping Zhang, Soon-Yi Wu, Tingran Gao:
Improved smoothing Newton methods for P0 nonlinear complementarity problems. Appl. Math. Comput. 215(1): 324-332 (2009)
Coauthor Index
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