Hang Cui — accepted AI-conference papers

2023

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving

Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth +1

RA-L 2023

We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles' performance in the real world under safety-critical scenarios. Sim-on-wheels runs on a self-driving vehicle operating in the physical world. It creates virtual traffic participants with risky beha

Cited by 11 Source ↗code ↗Scholar ↗

2023

Soft Target-Enhanced Matching Framework for Deep Entity Matching

Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui +1

AAAI 2023technical

Deep Entity Matching (EM) is one of the core research topics in data integration. Typical existing works construct EM models by training deep neural networks (DNNs) based on the training samples with onehot labels. However, these sharp supervision signals of onehot labels harm the generalization of…

Cited by 7 Source ↗PDF ↗Scholar ↗