Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks. - Shengming Yuan; Qilong Zhang; Lianli Gao; Yaya Cheng; Jingkuan Song (NeurIPS, 2022)

Towards Boosting Black-Box Attack Via Sharpness-Aware. - Yukun Zhang; Shengming Yuan; Jingkuan Song; Yixuan Zhou 001; Lin Zhang; Yulan He 001 (ICME, 2023)

Precise Target-Oriented Attack against Deep Hashing-based Retrieval. - Wenshuo Zhao; Jingkuan Song; Shengming Yuan; Lianli Gao; Yang Yang 002; Hengtao Shen (ACM Multimedia, 2023)

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection. - Youheng Sun; Shengming Yuan; Xuanhan Wang; Lianli Gao; Jingkuan Song (ECCV (20), 2024)

SmartDampener: An Open Source Platform for Sport Analytics in Tennis. - Runze Liu 003; Taiting Lu; Shengming Yuan; Hao Zhou 001; Mahanth Gowda (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles. - Yuhang Wang; Abdulaziz Alhuraish; Shengming Yuan; Shuyi Wang; Hao Zhou (CoRR, 2025)

AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software. - Shengming Yuan; Hao Zhou (CoRR, 2025)

OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions. - Yuhang Wang; Abdulaziz Alhuraish; Shengming Yuan; Hao Zhou (CoRR, 2025)

Staircase Sign Method: Boosting adversarial attacks by mitigating gradient distortion. - Pengpeng Zeng; Shengming Yuan; Qilong Zhang; Huimin Deng; Hui Xu; Lianli Gao (Pattern Recognit., 2026)