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Bingbing Nie
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Journal Articles
- 2024
- [j6]Li Xiong, Yingchi Mao, Zicheng Wang, Bingbing Nie, Chang Li:
Cross-modal knowledge learning with scene text for fine-grained image classification. IET Image Process. 18(6): 1447-1459 (2024) - [j5]Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li:
Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model. IEEE Trans. Intell. Transp. Syst. 25(7): 8093-8104 (2024) - 2022
- [j4]Yuan Huang, Sven A. Holcombe, Qing Zhou, Stewart C. Wang, Jisi Tang, Bingbing Nie:
A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level. Comput. Biol. Medicine 146: 105647 (2022) - [j3]Penghui Li, Yibing Li, Yao Yao, Changxu Wu, Bingbing Nie, Shengbo Eben Li:
Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems. IEEE Trans. Intell. Transp. Syst. 23(9): 14954-14967 (2022) - [j2]Shun Gan, Xizhe Pei, Yulong Ge, Qingfan Wang, Shi Shang, Shengbo Eben Li, Bingbing Nie:
Multisource Adaption for Driver Attention Prediction in Arbitrary Driving Scenes. IEEE Trans. Intell. Transp. Syst. 23(11): 20912-20925 (2022) - 2020
- [j1]Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, Bingbing Nie:
Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study. IEEE Access 8: 207415-207425 (2020)
Conference and Workshop Papers
- 2023
- [c3]Qingfan Wang, Detong Qin, Gaoyuan Kuang, Ruiyang Li, Bingbing Nie:
A Prediction-Uncertainty-Aware Safety Decision-Making Algorithm Towards Injury Risk Minimization Under Safety-Critical Scenarios. ITSC 2023: 5730-5737 - 2021
- [c2]Shun Gan, Quan Li, Qingfan Wang, WenTao Chen, Detong Qin, Bingbing Nie:
Constructing personalized situation awareness dataset for hazard perception, comprehension, projection, and action of drivers. ITSC 2021: 1697-1704 - 2019
- [c1]Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng:
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design. ITSC 2019: 2757-2764
Informal and Other Publications
- 2024
- [i5]Qingfan Wang, Dongyang Xu, Gaoyuan Kuang, Chen Lv, Shengbo Eben Li, Bingbing Nie:
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios. CoRR abs/2407.13480 (2024) - [i4]Dongyang Xu, Yiran Luo, Tianle Lu, Qingfan Wang, Qing Zhou, Bingbing Nie:
STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios. CoRR abs/2408.01774 (2024) - 2022
- [i3]Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li:
Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters. CoRR abs/2211.10907 (2022) - 2021
- [i2]Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie:
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm. CoRR abs/2103.04535 (2021) - 2020
- [i1]Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR abs/2003.00848 (2020)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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