Yao Rong


I am a PhD studnet in Human Computer Interaction led by Prof. Enkelejda Kasneci at University of Tübingen. I recieved my master's degree in Electrical and Computer Engineering from TU Munich in 2019, and B.Eng. degrees in Mechatronics from both Tongji University in Shanghai and Munich University of Applied Sciences in 2016, as part of a double degree program.

My research interest lies at the intersection of human and artificial intelligence: Computer Vision, Explainable AI, Human-Computer Interaction, Human-centered AI and Deep Learning. I aim to bring human knowledge into AI models, thus developing AI applications that humans can well understand and trust.

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PontTuset Evaluating Feature Attribution: An Information-Theoretic Perspective
Yao Rong*, Tobias Leemann*, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
ICML, 2022

PontTuset Where and What: Driver Attention-based Object Detection
Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci

PontTuset User Trust on an Explainable AI-based Medical Diagnosis Support System
Yao Rong, Nora Castner, Efe Bozkir, Enkelejda Kasneci
TRAIT at CHI, 2022

PontTuset Human Attention in Fine-grained Classification
Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci
BMVC, 2021

PontTuset Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci
ITSM, 2021

PontTuset Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring
Yao Rong, Zeynep Akata, Enkelejda Kasneci
ITSC, 2020

PontTuset 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, Neslihan Kose, Gerhard Rigoll
FG, 2020

PontTuset Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs
Okan Köpüklü, Yao Rong, Gerhard Rigoll
ICCV Workshop, 2019