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.

Email / Google Scholar / Github / CV /

Publications

	Evaluating Feature Attribution: An Information-Theoretic Perspective Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci ICML, 2022 [Paper] [Code]
	Where and What: Driver Attention-based Object Detection Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci PACMHCI, 2022 [Paper] [Code]
	User Trust on an Explainable AI-based Medical Diagnosis Support System Yao Rong, Nora Castner, Efe Bozkir, Enkelejda Kasneci TRAIT at CHI, 2022 [Paper]
	Human Attention in Fine-grained Classification Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci BMVC, 2021 [Paper] [Code]
	Artificial Intelligence Methods in In-Cabin Use Cases: A Survey Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci ITSM, 2021 [Paper]
	Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring Yao Rong, Zeynep Akata, Enkelejda Kasneci ITSC, 2020 [Paper] [Code]
	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 [Paper] [Dataset]
	Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs Okan Köpüklü, Yao Rong, Gerhard Rigoll ICCV Workshop, 2019 [Paper] [Dataset] [Code]

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