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Author

Haozhuang Chi

Observed name: Chi, Haozhuang
Observed institution: Nanyang Technological University
ORCID: 0009-0000-7951-1046
Observed ORCID: 0009-0000-7951-1046
OpenAlex ID: A5116772078
Applications of Large Language Models and Multimodal Large Models in Autonomous Driving: A Comprehensive Review
2025 · Jing Li, Jingyuan Li, et al. · Drones · 37
Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
2026 · Haozhuang Chi, Daosheng Qiu, et al. · Lecture notes in computer science · 6
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VLM-DM: Visual Language Models for Multitask Domain Adaptation in Driver Monitoring
2025 · Haozhuang Chi, Haohan Yang, et al. · IEEE Intelligent Vehicles Symposium · 2
FSVL: Taxonomic Fast-Slow Vision-to-Language Collaborative Framework for Interpretable Confusable Fish Species Identification and Knowledge Generation in the Middle Yangtze River
2026 · Liang, Meng, Wang, Fucheng, et al. · arXiv (Cornell University)
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Proactive Robot Assistance via Event-Driven Reasoning over State Changes
2026 · Liu, Fengkai, Su, Hao, et al. · arXiv (Cornell University)
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THPL: A Vision-to-Language Decision Support Framework for Rainbow Trout Feeding Management in RAS
2026 · Liang, Meng, Feng, Guanbo, et al. · arXiv (Cornell University)
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Deep reinforcement learning for autonomous driving decision-making: Algorithms, applications and challenges
2026 · Jing Li, Peng Wu, et al. · Engineering Applications of Artificial Intelligence
MomWorld: Momentum-Aware Latent World Model for Long-Horizon Autonomous Driving
2026 · Song, Ziying, Zhang, Shengkai, et al. · arXiv (Cornell University)
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PV-WM: A Heterogeneous Micro-Macro World Model for Articulated Pedestrian-Vehicle Co-Rollout
2026 · Chi, Haozhuang, Liang, Jingsong, et al. · arXiv (Cornell University)
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Risk-Aware Selective Multimodal Driver Monitoring with Driver-State World Modeling
2026 · Qiu, Daosheng, Chi, Haozhuang, et al. · arXiv (Cornell University)
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Event-Driven Proactive Assistive Manipulation with Grounded Vision-Language Planning
2026 · Liu, Fengkai, Su, Hao, et al. · arXiv (Cornell University)
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A Comprehensive Review of Vision-Based Fatigue Detection Algorithms
2026 · Congying Tang, Jiansheng Liu, et al. · SSRN Electronic Journal
Works count: 12
Citation count: 45
H-index: 2
I10-index: 1
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