Bingzhuo Zhong — accepted AI-conference papers

2026

AR2-4FV: Anchored Referring and Re-identification for Long-Term Grounding in Fixed-View Videos

Teng Yan, Yihan Liu, Jiongxu Chen, Teng Wang, Jiaqi Li, Bingzhuo Zhong

CVPR 2026

Long-term language-guided referring in fixed-view videos is challenging: the referent may be occluded or leave the scene for long intervals and later re-enter, while framewise referring pipelines drift as re-identification (ReID) becomes unreliable. AR2-4FV leverages background stability for long-te

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2023

Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games

Bingzhuo Zhong, Hongpeng Cao, Majid Zamani, Marco Caccamo

AAAI 2023technical

Nowadays, AI-based techniques, such as deep neural networks (DNNs), are widely deployed in autonomous systems for complex mission requirements (e.g., motion planning in robotics). However, DNNs-based controllers are typically very complex, and it is very hard to formally verify their correctness, po…

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