Bingbing Nie

20 papers Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions.
IEEE Intell. Transp. Syst. Mag.
Chen Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2025 — conf
FEMINet: Real-Time RGB-D Semantic Segmentation via Feature Enhancement and Multi-level Interaction.
PRCV (2)
Luyao Jia, Yingchi Mao, Ji Lu, Zhenxiang Pan, Bingbing Nie, Zicheng Wang
2025 — conf
Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices.
NPC (1)
Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu
2025 J jnl
Real-Time Reconstruction of Multi-Body Pedestrian Pre-Impact Posture in Collision Accidents From Monocular Images.
IEEE Trans. Intell. Transp. Syst.
Meijun Wang, Yu Meng, Yan Xu, Quan Li, Bingbing Nie
2025 J jnl
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios.
IEEE Trans. Intell. Transp. Syst.
Qingfan Wang, Dongyang Xu, Gaoyuan Kuang, Chen Lv, Shengbo Eben Li, Bingbing Nie
2025 J jnl
When Do Drivers Maneuver: Experimental Investigation and Inference of Perception-Response Time for Tailored Safety Systems in Intelligent Vehicles.
IEEE Trans. Hum. Mach. Syst.
Detong Qin, Qingfan Wang, Quan Li, Tianle Lu, Chen Chen, Hong Wang, Bingbing Nie
2024 J jnl
Cross-modal knowledge learning with scene text for fine-grained image classification.
IET Image Process.
Li Xiong, Yingchi Mao, Zicheng Wang, Bingbing Nie, Chang Li
2024 J jnl
Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.
IEEE Trans. Intell. Transp. Syst.
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2024 J jnl
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios.
CoRR
Qingfan Wang, Dongyang Xu, Gaoyuan Kuang, Chen Lv, Shengbo Eben Li, Bingbing Nie
2024 J jnl
STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios.
CoRR
Dongyang Xu, Yiran Luo, Tianle Lu, Qingfan Wang, Qing Zhou, Bingbing Nie
2023 — conf
A Prediction-Uncertainty-Aware Safety Decision-Making Algorithm Towards Injury Risk Minimization Under Safety-Critical Scenarios.
ITSC
Qingfan Wang, Detong Qin, Gaoyuan Kuang, Ruiyang Li, Bingbing Nie
2022 J jnl
A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level.
Comput. Biol. Medicine
Yuan Huang, Sven A. Holcombe, Qing Zhou, Stewart C. Wang, Jisi Tang, Bingbing Nie
2022 J jnl
Multisource Adaption for Driver Attention Prediction in Arbitrary Driving Scenes.
IEEE Trans. Intell. Transp. Syst.
Shun Gan, Xizhe Pei, Yulong Ge, Qingfan Wang, Shi Shang, Shengbo Eben Li, Bingbing Nie
2022 J jnl
Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.
CoRR
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
2022 J jnl
Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems.
IEEE Trans. Intell. Transp. Syst.
Penghui Li, Yibing Li, Yao Yao, Changxu Wu, Bingbing Nie, Shengbo Eben Li
2021 — conf
Constructing personalized situation awareness dataset for hazard perception, comprehension, projection, and action of drivers.
ITSC
Shun Gan, Quan Li, Qingfan Wang, Wentao Chen, Detong Qin, Bingbing Nie
2021 J jnl
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.
CoRR
Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie
2020 J jnl
Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study.
IEEE Access
Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, Bingbing Nie
2020 J jnl
Mixed Reinforcement Learning with Additive Stochastic Uncertainty.
CoRR
Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng
2019 — conf
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.
ITSC
Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng