Guohao Shen - RankMe

22 papers A* 3A 1B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Balancing Multimodal Domain Generalization via Gradient Modulation and Projection. AAAI Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan
2026	J	`jnl`	Balancing Multimodal Domain Generalization via Gradient Modulation and Projection. CoRR Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan
2026	J	`jnl`	DDoS attack detection using deep transfer learning and FFT-based data transformation. J. Supercomput. Guohao Shen, Yuejin Zhang, Guoqing Zhong, Zhongyuan Gong
2026	J	`jnl`	Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence. J. Mach. Learn. Res. Siming Zheng, Guohao Shen, Yuanyuan Lin, Jian Huang
2026	—	`conf`	Learning Guarantee of Reward Modeling Using Deep Neural Networks. KDD (1) Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen
2025	B	`conf`	AS-Mamba: Multimodal Semantic Segmentation via Mamba with Asymmetric Cross and Spatial Perception. ICPADS Guohao Shen, Hongzhao Li, Hao Yang, Xianglong Shen, Jingya Dong, Shupan Li
2025	A	`conf`	Conformal Set-based Human-AI Complementarity with Multiple Experts. AAMAS Helbert Paat, Guohao Shen
2025	J	`jnl`	Conformal Set-based Human-AI Complementarity with Multiple Experts. CoRR Helbert Paat, Guohao Shen
2025	J	`jnl`	Deep Distributional Learning with Non-crossing Quantile Network. CoRR Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu
2025	J	`jnl`	Learning Guarantee of Reward Modeling Using Deep Neural Networks. CoRR Yuanhang Luo, Yeheng Ge, Ruijian Han, Guohao Shen
2024	A*	`conf`	Exploring the Complexity of Deep Neural Networks through Functional Equivalence. ICML Guohao Shen
2024	J	`jnl`	Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2023	—	`conf`	A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU. RCAR Lebin Liang, Haotian Rao, Guohao Shen, Can Wang, Xinyu Wu
2023	J	`jnl`	Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence. CoRR Guohao Shen
2023	J	`jnl`	Conditional Stochastic Interpolation for Generative Learning. CoRR Ding Huang, Jian Huang, Ting Li, Guohao Shen
2023	J	`jnl`	Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2023	J	`jnl`	Nonparametric inference on smoothed quantile regression process. Comput. Stat. Data Anal. Meiling Hao, Yuanyuan Lin, Guohao Shen, Wen Su
2023	J	`jnl`	Wasserstein Generative Regression. CoRR Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang
2022	A*	`conf`	Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
2022	J	`jnl`	Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang
2022	J	`jnl`	Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang
2021	J	`jnl`	Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang