Mingfeng Yuan

15 papers A 1C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multi-Modal Robot Memory.
IEEE Robotics Autom. Lett.
Mingfeng Yuan, Hao Zhang, Mahan Mohammadi, Runhao Li, Jinjun Shan, Steven L. Waslander
2026 J jnl
STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multimodal Robot Memory.
CoRR
Mingfeng Yuan, Hao Zhang, Mahan Mohammadi, Runhao Li, Jinjun Shan, Steven L. Waslander
2025 A conf
OpenNav: Open-World Navigation with Multimodal Large Language Models.
IROS
Mingfeng Yuan, Letian Wang, Steven L. Waslander
2025 J jnl
OpenNav: Open-World Navigation with Multimodal Large Language Models.
CoRR
Mingfeng Yuan, Letian Wang, Steven L. Waslander
2025 J jnl
QTER: QoS-Aware 3-D Efficient and Reliable Routing for LEO Satellite Networks.
IEEE Internet Things J.
Jinkai Zheng, Tom H. Luan, Guanjie Li, Yanfeng Zhang, Mingfeng Yuan, Jianping Pan
2024 J jnl
A Factor Graph Model of Trust for a Collaborative Multi-Agent System.
CoRR
Behzad Akbari, Mingfeng Yuan, Hao Wang, Haibin Zhu, Jinjun Shan
2024 — conf
Design of the Safety Case of the Reinforcement Learning-Enabled Component of a Quanser Autonomous Vehicle.
RE Workshops
Mithila Sivakumar, Alvine B. Belle, Jinjun Shan, Oluwafemi Odu, Mingfeng Yuan
2024 J jnl
From Naturalistic Traffic Data to Learning-Based Driving Policy: A Sim-to-Real Study.
IEEE Trans. Veh. Technol.
Mingfeng Yuan, Jinjun Shan, Kevin Mi
2024 J jnl
Learning-based acoustic displacement field modeling and micro-particle control.
Expert Syst. Appl.
Xiaodong Jiao, Yumin Zhao, Xinyu Wang, Mingfeng Yuan, Jin Tao, Hao Sun, Qinglin Sun, Zengqiang Chen
2024 — conf
Performance-based Data-driven Assessment of Trust.
ICHMS
Onoise Gerald Kio, Mingfeng Yuan, Robert S. Allison, Jinjun Shan
2024 J jnl
Scalable Game-Theoretic Decision-Making for Self-Driving Cars at Unsignalized Intersections.
IEEE Trans. Ind. Electron.
Mingfeng Yuan, Jinjun Shan, Hunter Schofield
2023 C conf
Learning Adaptive Cruise Control for Autonomous Vehicles Using End-to-End Deep Reinforcement Learning.
IECON
Mingfeng Yuan, Jinjun Shan
2022 J jnl
Deep Reinforcement Learning Based Game-Theoretic Decision-Making for Autonomous Vehicles.
IEEE Robotics Autom. Lett.
Mingfeng Yuan, Jinjun Shan, Kevin Mi
2019 J jnl
Topological Horseshoe Analysis and FPGA Implementation of a Classical Fractional Order Chaotic System.
IEEE Access
Enzeng Dong, Mingfeng Yuan, Fangfang Han, Jigang Tong, Shengzhi Du
2018 J jnl
Topological Horseshoe Analysis, Ultimate Boundary Estimations of a New 4D Hyperchaotic System and Its FPGA Implementation.
Int. J. Bifurc. Chaos
Enzeng Dong, Mingfeng Yuan, Cong Zhang, Jigang Tong, Zengqiang Chen, Shengzhi Du