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Hong Cai

3 papers indexed

arxivcs.ROcs.CV2026-07-03

CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving

Yunxiao Shi, Hong Cai, Mohammad Ghavamzadeh, Fatih Porikli

End-to-end autonomous driving (E2E-AD) aims to directly map raw sensor information to driving actions. Recently, with the rapid advancement of multi-modal large language models (MLLMs), researchers have proposed the paradigm of Vision-Language-Action (VLA) models for E2E-AD, wher…

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arxivcs.CV2026-06-27

SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization

Jamie Menjay Lin, Jisoo Jeong, Hong Cai, Kai Wang, Fatih Porikli

Motions of objects and scenes carry essential intelligence in video understanding, offering rich cues for interpreting dynamic settings and interactions. Due to the cost and scarcity of high-quality annotation or ground truth of pixel-wise optical flow, however, motion estimation…

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crossrefToxins2025-08-04Cited by 2

The Potential Mechanisms of Ochratoxin A in Prostate Cancer Development: An Integrated Study Combining Network Toxicology, Machine Learning, and Molecular Docking

Hong Cai, Dandan Shen, Xiangjun Hu, Hongwei Yin, Zhangren Yan

Ochratoxin A (OTA), a prevalent food contaminant, has been proposed as a potential contributor to the development of prostate cancer, although its precise mechanisms remain unclear. This study employed a comprehensive approach that integrated network toxicology, machine learning,…

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