Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. - Okan Köpüklü; Yao Rong 001; Gerhard Rigoll (ICCV Workshops, 2019)

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Okan Köpüklü; Thomas Ledwon; Yao Rong 001; Neslihan Kose; Gerhard Rigoll (FG, 2020)

Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. - Wolfgang Fuhl; Yao Rong 001; Enkelejda Kasneci (ICPR, 2020)

Explainable Online Validation of Machine Learning Models for Practical Applications. - Wolfgang Fuhl; Yao Rong 001; Thomas Motz; Michael Scheidt; Andreas Hartel; Andreas Koch; Enkelejda Kasneci (ICPR, 2020)

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. - Yao Rong 001; Zeynep Akata; Enkelejda Kasneci (ITSC, 2020)

Human Attention in Fine-grained Classification. - Yao Rong 001; Wenjia Xu; Zeynep Akata; Enkelejda Kasneci (BMVC, 2021)

A Consistent and Efficient Evaluation Strategy for Attribution Methods. - Yao Rong 001; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (ICML, 2022)

Evaluating Feature Attribution: An Information-Theoretic Perspective. - Yao Rong 001; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

User Trust on an Explainable AI-based Medical Diagnosis Support System. - Yao Rong 001; Nora Castner; Efe Bozkir; Enkelejda Kasneci (CoRR, 2022)

Disentangling Embedding Spaces with Minimal Distributional Assumptions. - Tobias Leemann; Michael Kirchhof 002; Yao Rong 001; Enkelejda Kasneci; Gjergji Kasneci (CoRR, 2022)

Towards Human-centered Explainable AI: User Studies for Model Explanations. - Yao Rong 001; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. - Yao Rong 001; Chao Han; Christian Hellert; Antje Loyal; Enkelejda Kasneci (IEEE Intell. Transp. Syst. Mag., 2022)

Where and What: Driver Attention-based Object Detection. - Yao Rong 001; Naemi-Rebecca Kassautzki; Wolfgang Fuhl; Enkelejda Kasneci (Proc. ACM Hum. Comput. Interact., 2022)

DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. - Yao Rong 001; Xiangyu Wei; Tianwei Lin; Yueyu Wang; Enkelejda Kasneci (CVPR Workshops, 2023)

When are post-hoc conceptual explanations identifiable? - Tobias Leemann; Michael Kirchhof 002; Yao Rong 001; Enkelejda Kasneci; Gjergji Kasneci (UAI, 2023)

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. - Yao Rong 001; Peizhu Qian; Vaibhav V. Unhelkar; Enkelejda Kasneci (AAAI, 2024)

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. - Shuo Yang; Chenchen Yuan; Yao Rong 001; Felix Steinbauer; Gjergji Kasneci (ACL (Findings), 2024)

A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. - Süleyman Özdel; Yao Rong 001; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. - Süleyman Özdel; Yao Rong 001; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features. - Yao Rong 001; David Scheerer; Enkelejda Kasneci (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. - Zilong Zhao; Yao Rong 001; Dongyang Guo; Emek Gözlüklü; Emir Gülboy; Enkelejda Kasneci (CoRR, 2024)

Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. - Enkelejda Kasneci; Hong Gao 008; Süleyman Özdel; Virmarie Maquiling; Enkeleda Thaqi; Ka Hei Carrie Lau; Yao Rong 001; Gjergji Kasneci; Efe Bozkir (CoRR, 2024)

Benchmarking Large Language Models for Math Reasoning Tasks. - Kathrin Seßler; Yao Rong 001; Emek Gözlüklü; Enkelejda Kasneci (CoRR, 2024)

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. - Yao Rong 001; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Peizhu Qian; Vaibhav V. Unhelkar; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models. - Yao Rong 001; Vaibhav V. Unhelkar (AAAI Spring Symposia, 2025)

Benchmarking In-Context Learning Strategies of Large Language Models for Math Reasoning Tasks. - Yao Rong 001; Kathrin Seßler; Emek Gözlüklü; Enkelejda Kasneci (IEEE Trans. Learn. Technol., 2025)

Efficient GNN Explanation via Learning Removal-based Attribution. - Yao Rong 001; Guanchu Wang; Qizhang Feng; Ninghao Liu 001; Zirui Liu 001; Enkelejda Kasneci; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)