Guohao Shen

According to our database, Guohao Shen authored at least 19 papers between 2021 and 2026.

Collaborative distances:

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

2026

DDoS attack detection using deep transfer learning and FFT-based data transformation.

Guohao Shen, Yuejin Zhang, Guoqing Zhong, Zhongyuan Gong

J. Supercomput., February, 2026

Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence.

Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang

J. Mach. Learn. Res., 2026

Learning Guarantee of Reward Modeling Using Deep Neural Networks.

Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection.

Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep Distributional Learning with Non-crossing Quantile Network.

Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu

CoRR, April, 2025

Conformal Set-based Human-AI Complementarity with Multiple Experts.

Helbert Paat, Guohao Shen

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

AS-Mamba: Multimodal Semantic Segmentation via Mamba with Asymmetric Cross and Spatial Perception.

Guohao Shen, Hongzhao Li, Hao Yang, Xianglong Shen, Jingya Dong, Shupan Li

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2024

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

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

J. Mach. Learn. Res., 2024

Exploring the Complexity of Deep Neural Networks through Functional Equivalence.

Guohao Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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