2025.01-至今 燕山大学 车辆与能源学院 车辆工程系 讲师

近年主持或完成的主要科研项目有：

(1)国家自然科学基金：基于驾驶人认知决策迁移的人机协作混合增强智能控制策略研究（2022－2024）参与

(2)国家重点研发：道路运输网运行风险主动防控关键技术及应用（2020-2022）参与

专利情况：

(1)赵栓峰,黄涛,张传伟.基于无人机群移动平台的交通流量实时监测网络和方法：中国, ZL201810258404.9.（2021-08-03）

[1]Tao Huang, Rui Fu, Qinyu Sun, et al. Toward Human-vehicle collaboration for automated vehicles: A review and perspective [J]. IEEE Transactions on Intelligent Transportation Systems,2025. (DOI: 10.1109/TITS.2025.3530143)(中科院1区，Top)

[2]Tao Huang, Rui Fu, Qinyu Sun, et al. Driver lane change intention prediction based on topological graph constructed by driver behaviors and traffic context for human-machine co-driving system [J]. Transportation Research Part C: Emerging Technologies, 2024, 160: 104497. (中科院1区，Top)

[3]Rui Fu, Tao Huang (通信作者), Mingyue Li, et al. A multimodal deep neural network for prediction of the driver’s focus of attention based on anthropomorphic attention mechanism and prior knowledge [J]. Expert Systems with Applications, 2023, 214: 119157.(中科院1区，Top)

[4]Tao Huang, Rui Fu. Driver distraction detection based on the true driver’s focus of attention [J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10): 19374-19386. (中科院1区，Top)

[5]Tao Huang, Rui Fu. Prediction of the driver’s focus of attention based on feature visualization of a deep autonomous driving model [J]. Knowledge-Based Systems, 2022, 251: 109006. (中科院1区，Top)

[6]Tao Huang, Rui Fu, Qinyu Sun. Driver’s mobile phone usage detection using guided learning based on attention features and prior knowledge [J]. Expert Systems with Applications, 2022, 206: 117877. (中科院1区，Top)

[7]Tao Huang, Rui Fu, Yunxing Chen, et al. Real-time driver behavior detection based on deep deformable inverted residual network with an attention mechanism for human-vehicle co-driving system [J]. IEEE Transactions on Vehicular Technology, 2022, 71(12): 12475-12488. (中科院2区，Top)

[8]Tao Huang, Rui Fu, Yunxing Chen. Deep driver behavior detection model based on human brain consolidated learning for shared autonomy systems [J]. Measurement, 2021, 179: 109463. (中科院2区，Top)

[9]Tao Huang, Shuanfeng Zhao, et al. Unsupervised monocular depth estimation based on residual neural network of coarse-refined feature extractions for drone [J]. Electronics, 2019, 8(10): 1179.

[10]郭应时,黄涛(通信作者).基于注意力机制的多模态自动驾驶行为决策模型[J].中国公路学报,2022,35(09):141-156.

[11]黄涛,赵栓峰,拜云瑞,等.面向无人机飞控平台的实时道路目标深度神经网络检测方法[J].激光与光电子学进展,2020,57(04):303-311.

[12]赵栓峰,黄涛(通信作者),许倩,等.面向无人机自主飞行的无监督单目视觉深度估计[J].激光与光电子学进展,2020,57(02):145-154.

IEEE Transactions on Intelligent Transportation Systems, Expert Systems with Applications, Engineering Applications of Artificial Intelligence等期刊的审稿人