导师-杨彪

杨彪

工学博士、副教授

常州大学 微电子与控制工程学院

 江苏常州 213164

E-MAIL:yb6864171@cczu.edu.cn

教育背景:

2005.09-2009.07  南京工业大学自动化系自动化专业工学学士

2009.09-2014.10  东南大学 博士（硕博连读）

工作履历:

2021.12-     河海大学信息学部，博士后

2020.12-     常州大学微电子与控制工程学院，副教授

2018.08-2019.09  加州大学伯克利分校，访问学者

2014.11-2020.11  常州大学信息数理学院，讲师

主授课程:

机器视觉及应用 Python程序设计

研究领域:

人工智能 模式识别 智能机器人

奖励与荣誉:

1. 2015年校青年教师课堂教学技艺大赛二等奖

学术成果:

Ø 发表论文

[1] Yang B. A novel graph-based trajectory predictor with pseudo-oracle[J]. IEEE transactions on neural networks and learning systems, 2021. (SCI)

[2] Yang B. Crossing or not? context-based recognition of pedestrian crossing intention in the urban environment[J]. IEEE Transactions on Intelligent Transportation Systems, 2021.(SCI)

[3] Yang B. Facial expression recognition through cross-modality attention fusion[J]. IEEE Transactions on Cognitive and Developmental Systems, 2022.(SCI)

[4] Yang B. Anomalous behaviors detection in moving crowds based on a weighted convolutional autoencoder-long short-term memory network[J]. IEEE Transactions on Cognitive and Developmental Systems, 2018, 11(4): 473-482.(SCI)

[5] Yang B. Counting crowds using a scale-distribution-aware network and adaptive human-shaped kernel[J]. Neurocomputing, 2020, 390: 207-216.(SCI)

[6] 杨彪. 基于动作预测与环境条件的行人过街意图识别[J]. 汽车工程, 2021.(EI，科技部汽车类T1级别)

[7] Yang B. IRLSOT: Inverse reinforcement learning for scene‐oriented trajectory prediction[J]. IET Intelligent Transport Systems, 2022.(SCI)

[8] Yang B. Scale-Aware Attention-Based PillarsNet (SAPN) Based 3D Object Detection for Point Cloud[J]. Mathematical Problems in Engineering, 2020.(SCI)

[9] Yang B. An adversarial learned trajectory predictor with knowledge-rich latent variables[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2020: 42-53.(EI)

[10] Yang B. Edge computing-based real-time passenger counting using a compact convolutional neural network[J]. Neural Computing and Applications, 2020, 32(9): 4919-4931.(SCI)

[11] Yang B. Robust crowd counting based on refined density map[J]. Multimedia Tools and Applications, 2020, 79(3): 2837-2853.(SCI)

[12] Yang B. Exploration of neural activity under cognitive reappraisal using simultaneous eeg-fmri data and kernel canonical correlation analysis[J]. Computational and mathematical methods in medicine, 2018.(SCI)

[13] Yang B. Anomaly detection in moving crowds through spatiotemporal autoencoding and additional attention[J]. Advances in Multimedia, 2018.(EI)

[14] Yang B. Facial expression recognition based on dual-feature fusion and improved random forest classifier[J]. Multimedia Tools and Applications, 2018, 77(16): 20477-20499.(SCI)

[15] Yang B. Counting challenging crowds robustly using a multi-column multi-task convolutional neural network[J]. Signal Processing: Image Communication, 2018, 64: 118-129.(SCI)

[16] Yang B. Cross-scene counting based on domain adaptation-extreme learning machine[J]. IEEE Access, 2018, 6: 17029-17038.(SCI)

[17] Yang B. Facial expression recognition using weighted mixture deep neural network based on double-channel facial images[J]. IEEE access, 2017, 6: 4630-4640.(SCI)

[18] Yang B. Moving object detection based on on-line block-robust principal component analysis decomposition[J]. Modern Physics Letters B, 2017, 31(19-21): 1740040.(SCI)

[19] Yang B. Robust foreground detection using block-based RPCA[J]. Optik, 2015, 126(23): 4586-4590.(SCI)

[20] Yang B. An occlusion-adaptive tracker based on sparse representation using alternating direction method of multipliers[J]. Optik, 2014, 125(13): 3055-3059.(SCI)

Ø 专利成果

[1] 一种基于记忆增强网络的连续行人轨迹预测的方法,202210338201.7.

[2] 一种基于异构图学习的交通场景运动目标感知方法,202210253001.1.

[3] 一种基于融合逆强化学习的轨迹预测方法,202210189127.7.

[4] 一种融合型卷积神经网络人群异常行为检测的方法,202011277057.8.

[5] 一种基于穿越动作和交通场景上下文因素的行人穿越马路意图识别方法,202011276593.6.

[6] 一种基于注视检测和交通场景识别的行人穿越马路意图识别方法,202011276599.3.

[7] 一种基于注意力机制融合的多通道卷积神经网络人脸表情识别方法,202011276595.5.

[8] 一种基于对抗生成网络的路侧端行人轨迹预测算法,202011229272.0.

[9] 一种基于图注意力自编码模型的路侧端行人轨迹预测算法,202011229257.6.

[10] 一种基于三维点云数据和交通场景的汽车识别方法,202111358810.0.

[11] 面向面部表情识别的双通道卷积神经网络,202111358810.0.

[12] 一种基于长短期记忆-加权神经网络对视频人群计数的方法,201810446463.9.

[13] 加权卷积自编码长短期记忆网络人群异常检测方法,201810385430.8.

[14] 一种利用多尺度多任务卷积神经网络对静止图像进行人群计数的方法,201711179075.0.

研究项目:

2022.01-，汽车仿真与控制国家重点实验室开放基金项目，编号：20210241，主持

2021.11-，中国博士后科学基金面上项目（二等资助），编号：2021M701042，主持

2021.06-，江苏省博士后项目（B类资助），编号：2021K187B，主持

2020.05-，常州市应用基础项目，编号：CJ20200083，主持

2020.01-2020.12，江苏省中以产业技术研究院开放课题，编号：jsiitri202007，主持

2018.08-2020.07，江苏省高校自然科学研究面上项目，编号：18KJB520003，主持

2017.01-2019.12，江苏省道路载运工具新技术应用重点实验室开放基金课题，编号：BM20082061708，主持

2016.01-2018.12，国家自然科学基金青年项目，编号：61501060，主持

2015.07-2018.06，江苏省科技厅青年基金项目，编号：BK20150271，主持