Yijun Zhao — accepted AI-conference papers

2025

Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images

Jane Warren, Gary M. Weiss, Fernando Martinez, Annika Guo, Yijun Zhao

NAACL 2025findings

Existing studies have shown that AI-generated images tend to reinforce social biases, including those related to race and gender. However, no studies have investigated weight bias, or fatphobia, in AI-generated images. This study utilizes DALL-E 3 to determine the extent to which anti-fat and pro-th…

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2023

Close-Range Human Following Control on a Cane-Type Robot With Multi-Camera Fusion

Haowen Liu, Fengxian Wu, Bin Zhong, Yijun Zhao, Jiatong Zhang, Wenxin Niu +1

RA-L 2023

Cane-type robots have been utilized to assist the mobility-impaired population. The essential technique for cane-type robots is to follow the user's ambulation at a close range. This study developed a new cane-type wheeled robot and proposed a novel human-following control frame with multi-camera fu

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