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2020 – today
- 2026
[j4]Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang:
Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence. J. Mach. Learn. Res. 27: 15:1-15:60 (2026)- [j3]Guohao Shen, Yuejin Zhang, Guoqing Zhong, Zhongyuan Gong:
DDoS attack detection using deep transfer learning and FFT-based data transformation. J. Supercomput. 82(3): 143 (2026) - 2025
- [c5]Guohao Shen, Hongzhao Li, Hao Yang, Xianglong Shen, Jingya Dong, Shupan Li:
AS-Mamba: Multimodal Semantic Segmentation via Mamba with Asymmetric Cross and Spatial Perception. ICPADS 2025: 1-8 - [c4]Helbert Paat, Guohao Shen:
Conformal Set-based Human-AI Complementarity with Multiple Experts. AAMAS 2025: 1576-1585 - [i10]Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu:
Deep Distributional Learning with Non-crossing Quantile Network. CoRR abs/2504.08215 (2025) - [i9]Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen:
Learning Guarantee of Reward Modeling Using Deep Neural Networks. CoRR abs/2505.06601 (2025) - [i8]Helbert Paat, Guohao Shen:
Conformal Set-based Human-AI Complementarity with Multiple Experts. CoRR abs/2508.06997 (2025) - 2024
- [j2]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. 25: 88:1-88:75 (2024) - [c3]Guohao Shen:
Exploring the Complexity of Deep Neural Networks through Functional Equivalence. ICML 2024: 44643-44664 - 2023
- [j1]Meiling Hao
, Yuanyuan Lin, Guohao Shen, Wen Su:
Nonparametric inference on smoothed quantile regression process. Comput. Stat. Data Anal. 179: 107645 (2023) - [c2]Lebin Liang, Haotian Rao, Guohao Shen, Can Wang, Xinyu Wu:
A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU. RCAR 2023: 280-285 - [i7]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR abs/2305.00608 (2023) - [i6]Guohao Shen:
Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence. CoRR abs/2305.11417 (2023) - [i5]Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Wasserstein Generative Regression. CoRR abs/2306.15163 (2023) - [i4]Ding Huang, Jian Huang, Ting Li, Guohao Shen:
Conditional Stochastic Interpolation for Generative Learning. CoRR abs/2312.05579 (2023) - 2022
- [c1]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS 2022 - [i3]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR abs/2207.10442 (2022) - [i2]Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR abs/2210.10161 (2022) - 2021
- [i1]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR abs/2105.00292 (2021)
Coauthor Index
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