[AAAI, 2024]
I-CEE: Tailoring Explanations of Image Classifications Models to User ExpertiseYao Rong, Peizhu Qian, Vaibhav Unhelkar, Enkelejda Kasneci
[Paper] [Code]
Publications
Yao Rong, Peizhu Qian, Vaibhav Unhelkar, Enkelejda Kasneci
[Paper] [Code]
[ACL-Findings, 2024]
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language ModelsShuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci
[Paper]
[TKDD, 2024]
Efficient GNN Explanation via Learning Removal-based AttributionYao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
[Paper] [Code]
[TPAMI, 2023]
Towards Human-centered Explainable AI: User Studies for Model ExplanationsYao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
[Paper] [Code]
[End-to-End Autonomous Driving @ CVPR 2023]
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object DetectionYao Rong*, Xiangyu Wei*, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci
[Paper] [Code]
[UAI, 2023]
When are Post-hoc Conceptual Explanations Identifiable?Tobias Leemann*, Michael Kirchhof*, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
[Paper] [Code]
[ICML, 2022]
Evaluating Feature Attribution: An Information-Theoretic PerspectiveYao Rong*, Tobias Leemann*, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
[Paper] [Code]
[PACMHCI, 2022]
Where and What: Driver Attention-based Object DetectionYao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci
[Paper] [Code]
[TRAIT @ CHI, 2022]
User Trust on an Explainable AI-based Medical Diagnosis Support SystemYao Rong, Nora Castner, Efe Bozkir, Enkelejda Kasneci
[Paper]
[BMVC, 2021]
Human Attention in Fine-grained ClassificationYao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci
[Paper] [Code]
[ITSM, 2021]
Artificial Intelligence Methods in In-Cabin Use Cases: A SurveyYao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci
[Paper]
[ITSC, 2021]
Driver Intention Anticipation Based on In-Cabin and Driving Scene MonitoringYao Rong, Zeynep Akata, Enkelejda Kasneci
[Paper] [Code]
[FG, 2020]
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition FrameworkOkan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll
[Paper] [Dataset]