Guan, Jihong

21 publications

IJCAI 2025 Community-Aware Graph Transformer for Brain Disorder Identification Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan

CVPR 2025 Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space Yi Liu, Wengen Li, Jihong Guan, Shuigeng Zhou, Yichao Zhang

IJCAI 2025 Efficient Constraint-Based Window Causal Graph Discovery in Time Series with Multiple Time Lags Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou

IJCAI 2025 Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou

IJCAI 2024 All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract) Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

NeurIPS 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

AISTATS 2024 Learning Adaptive Kernels for Statistical Independence Tests Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

AAAI 2024 Weakly Supervised Few-Shot Object Detection with DETR Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

AAAI 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

ICCV 2023 Meta-ZSDETR: Zero-Shot DETR with Meta-Learning Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou

AAAI 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou

AAAI 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

WACV 2022 Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou

CVPR 2021 Accurate Few-Shot Object Detection with Support-Query Mutual Guidance and Hybrid Loss Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

AAAI 2021 Testing Independence Between Linear Combinations for Causal Discovery Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

AAAI 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou

AAAI 2019 Learning Competitive and Discriminative Reconstructions for Anomaly Detection Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan

AAAI 2019 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

AAAI 2018 Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery Hao Zhang, Shuigeng Zhou, Jihong Guan

AAAI 2017 Causal Discovery Using Regression-Based Conditional Independence Tests Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

ECML-PKDD 2017 DeepCluster: A General Clustering Framework Based on Deep Learning Kai Tian, Shuigeng Zhou, Jihong Guan