Jihong Guan
22 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(20)
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Keyword Champion
(3)
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(109)
Top co-authors
Research topics
Keywords
causal discovery
(7)
conditional independence test
(3)
kernel methods
(3)
causal graph
(2)
nonlinear causality
(2)
conditional independence
(2)
hilbert-schmidt independence criterion
(2)
independence test
(2)
linear structural equation model
(2)
graph neural network
(2)
permutation test
(2)
anomaly detection
(1)
image classification
(1)
feature extraction
(1)
image restoration
(1)
domain adaptation
(1)
representation learning
(1)
differential privacy
(1)
transfer learning
(1)
attention mechanism
(1)
Papers
ImmerIris: A Large-Scale Dataset and Benchmark for Off-Axis and Unconstrained Iris Recognition in Immersive Applications
CVPR 2026
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation
AAAI 2026
Community-Aware Graph Transformer for Brain Disorder Identification
IJCAI 2025
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
CVPR 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags
IJCAI 2025
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise
IJCAI 2025
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
IJCAI 2024
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
NeurIPS 2024
Learning Adaptive Kernels for Statistical Independence Tests
AISTATS 2024
Weakly Supervised Few-Shot Object Detection with DETR
AAAI 2024
Differentially Private Nonlinear Causal Discovery from Numerical Data
AAAI 2023
Meta-ZSDETR: Zero-shot DETR with Meta-learning
ICCV 2023
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance
AAAI 2023
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification
NAACL 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
AAAI 2022
Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities
WACV 2022
Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss
CVPR 2021
Testing Independence Between Linear Combinations for Causal Discovery
AAAI 2021
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance
AAAI 2020
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
AAAI 2019
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
AAAI 2019
Versatile Multiple Choice Learning and Its Application to Vision Computing
CVPR 2019