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Yao Rong 0001
Person information
- affiliation: Rice University, Computer Science Department, Houston, TX, USA
- affiliation (PhD 2024): Technical University of Munich (TUM), Germany
Other persons with the same name
- Yao Rong — disambiguation page
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2020 – today
- 2025
[j5]Yao Rong
, Guanchu Wang
, Qizhang Feng
, Ninghao Liu
, Zirui Liu
, Enkelejda Kasneci
, Xia Hu
:
Efficient GNN Explanation via Learning Removal-based Attribution. ACM Trans. Knowl. Discov. Data 19(2): 42:1-42:23 (2025)
[j4]Yao Rong
, Kathrin Seßler
, Emek Gözlüklü, Enkelejda Kasneci
:
Benchmarking In-Context Learning Strategies of Large Language Models for Math Reasoning Tasks. IEEE Trans. Learn. Technol. 18: 1074-1082 (2025)
[c15]Yao Rong, Vaibhav V. Unhelkar:
The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models. AAAI Spring Symposia 2025: 95-97- 2024
[j3]Yao Rong
, Tobias Leemann
, Thai-trang Nguyen
, Lisa Fiedler
, Peizhu Qian
, Vaibhav V. Unhelkar
, Tina Seidel
, Gjergji Kasneci
, Enkelejda Kasneci
:
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2104-2122 (2024)
[c14]Yao Rong, Peizhu Qian
, Vaibhav V. Unhelkar
, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. AAAI 2024: 21545-21553
[c13]Shuo Yang
, Chenchen Yuan
, Yao Rong, Felix Steinbauer
, Gjergji Kasneci:
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. ACL (Findings) 2024: 248-264
[c12]Süleyman Özdel
, Yao Rong
, Berat Mert Albaba
, Yen-Ling Kuo
, Xi Wang
, Enkelejda Kasneci
:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. ETRA 2024: 1:1-1:6
[c11]Süleyman Özdel
, Yao Rong
, Berat Mert Albaba
, Yen-Ling Kuo
, Xi Wang
, Enkelejda Kasneci
:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. ETRA 2024: 12:1-12:9
[c10]Yao Rong, David Scheerer, Enkelejda Kasneci:
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 33-40
[i22]Zilong Zhao, Yao Rong, Dongyang Guo, Emek Gözlüklü, Emir Gülboy, Enkelejda Kasneci:
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. CoRR abs/2402.17786 (2024)
[i21]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. CoRR abs/2404.07347 (2024)
[i20]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. CoRR abs/2404.07351 (2024)
[i19]Enkelejda Kasneci, Hong Gao, Süleyman Özdel, Virmarie Maquiling, Enkeleda Thaqi, Ka Hei Carrie Lau, Yao Rong, Gjergji Kasneci
, Efe Bozkir:
Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. CoRR abs/2404.15435 (2024)
[i18]Yao Rong, David Scheerer, Enkelejda Kasneci:
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features. CoRR abs/2405.13032 (2024)
[i17]Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci:
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. CoRR abs/2406.11391 (2024)
[i16]Kathrin Seßler, Yao Rong, Emek Gözlüklü, Enkelejda Kasneci:
Benchmarking Large Language Models for Math Reasoning Tasks. CoRR abs/2408.10839 (2024)- 2023
[c9]Yao Rong, Xiangyu Wei, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci:
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. CVPR Workshops 2023: 3238-3247
[c8]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
When are post-hoc conceptual explanations identifiable? UAI 2023: 1207-1218
[i15]Yao Rong, Xiangyu Wei, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci:
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. CoRR abs/2305.15219 (2023)
[i14]Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu:
Efficient GNN Explanation via Learning Removal-based Attribution. CoRR abs/2306.05760 (2023)
[i13]Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. CoRR abs/2312.12102 (2023)- 2022
[j2]Yao Rong
, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci:
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. IEEE Intell. Transp. Syst. Mag. 14(3): 132-145 (2022)
[j1]Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci:
Where and What: Driver Attention-based Object Detection. Proc. ACM Hum. Comput. Interact. 6(ETRA): 146:1-146:22 (2022)
[c7]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML 2022: 18770-18795
[i12]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR abs/2202.00449 (2022)
[i11]Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci:
Where and What: Driver Attention-based Object Detection. CoRR abs/2204.12150 (2022)
[i10]Yao Rong, Nora Castner, Efe Bozkir
, Enkelejda Kasneci:
User Trust on an Explainable AI-based Medical Diagnosis Support System. CoRR abs/2204.12230 (2022)
[i9]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR abs/2206.13872 (2022)
[i8]Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci
, Enkelejda Kasneci:
Towards Human-centered Explainable AI: User Studies for Model Explanations. CoRR abs/2210.11584 (2022)- 2021
[c6]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. BMVC 2021: Article 150
[i7]Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci:
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. CoRR abs/2101.02082 (2021)
[i6]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. CoRR abs/2111.01628 (2021)- 2020
[c5]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose
, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. FG 2020: 77-84
[c4]Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci:
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. ICPR 2020: 142-149
[c3]Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci:
Explainable Online Validation of Machine Learning Models for Practical Applications. ICPR 2020: 3304-3311
[c2]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. ITSC 2020: 1-8
[i5]Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci:
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. CoRR abs/2002.10905 (2020)
[i4]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. CoRR abs/2003.00951 (2020)
[i3]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. CoRR abs/2006.11557 (2020)
[i2]Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci:
Explainable Online Validation of Machine Learning Models for Practical Applications. CoRR abs/2010.00821 (2020)
2010 – 2019
- 2019
[c1]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. ICCV Workshops 2019: 2836-2845
[i1]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs. CoRR abs/1905.04225 (2019)
Coauthor Index

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