Guohao Shen

According to our database, Guohao Shen authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Nonparametric inference on smoothed quantile regression process.

Meiling Hao, Yuanyuan Lin, Guohao Shen, Wen Su

Comput. Stat. Data Anal., 2023

Conditional Stochastic Interpolation for Generative Learning.

Ding Huang, Jian Huang, Ting Li, Guohao Shen

CoRR, 2023

Wasserstein Generative Regression.

Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang

CoRR, 2023

Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence.

Guohao Shen

CoRR, 2023

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

CoRR, 2023

A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU.

Lebin Liang, Haotian Rao, Guohao Shen, Can Wang, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022

Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction.

Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang

CoRR, 2022

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang

CoRR, 2022

Approximation with CNNs in Sobolev Space: with Applications to Classification.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks.

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

CoRR, 2021