杨阳
个人信息Personal Information
副教授 博士生导师 硕士生导师
性别:男
出生日期:1982-02-08
毕业院校:山东大学
学历:研究生(博士后)
学位:工学博士学位
在职信息:在职
所在单位:信息科学与工程学院
入职时间:2009-07-16
学科:信息与通信工程
信号与信息处理
通信与信息系统
集成电路设计
办公地点:山东大学青岛校区N5楼243房间
联系方式:15165090447
扫描关注
- [1] 倪志祥. A multi-object tracking method with adaptive dual decoder and better motion affinity. IEEE Access, 20221, 2024.
- [2] 于嘉超. Nonlinear wireless energy harvesting based uplink transmission in K-tier heterogeneous networks over Nakagami-m fading channels. ALEXANDRIA ENGINEERING JOURNAL, 276, 2024.
- [3] 汪阳. A novel deep multifeature extraction framework based on attention mechanism using wearable sensor data for human activity recognition. IEEE Sensors Journal, 23, 7188, 2023.
- [4] 王娜. Automatic Modulation Classification Based on CNN and Multiple Kernel Maximum Mean Discrepancy. ELECTRONICS, 12, 2023.
- [5] . Unsupervised video anomaly detection based on multi-timescale trajectory prediction. COMPUTER VISION AND IMAGE UNDERSTANDING, 227, 2023.
- [6] 王娜. Automatic Modulation Classification Based on CNN and Multiple Kernel Maximum Mean Discrepancy. ELECTRONICS, 12, 2022.
- [7] Zhao, Penghui. A high-dimensional and small-sample submersible fault detection method based on feature selection and data augmentation. SENSORS-BASEL, 22, 2022.
- [8] 赵朋辉. A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation. SENSORS, 22, 2022.
- [9] 王娜. Multidimensional CNN-LSTM Network for Automatic Modulation Classification. ELECTRONICS, 10, 2021.
- [10] 刘云霞. Efficient Source Camera Identification with Diversity-Enhanced Patch Selection and Deep Residual Prediction. Sensors, 21, 2021.
- [11] 吕传栋. Surveillance Personnel Behavior Analysis Technology based on Operation Log. 1530-1535, 2021.
- [12] 郑庆河. Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification. NEURAL COMPUTING & APPLICATIONS, 2020.
- [13] Liu, Zhao-Guang. Hierarchical differential evolution algorithm combined with multi-cross operation. Expert Systems with Applications, 130, 276, 2019.
- [14] 王洪君 and 杨阳. Passive Multiple Target Indoor Localization Based on Joint Interference Cancellation in an RFID System. Electronics, 2019.
- [15] 杨阳. A Recursive Ensemble Learning Approach with Noisy Labels or Unlabeled Data. IEEE Access, 2019.
- [16] 王洪君 , 杨阳 and 马良. WallSense: Device-Free Indoor Localization Using Wall-Mounted UHF RFID Tags. Sensors, 19, 2019.
- [17] 王洪君 and 杨阳. RFID 3-D Indoor Localization for Tag and Tag-Free Target Based on Interference. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 2018.
- [18] 杨阳 , 杜正锋 , 许宏吉 and 熊海良. Efficient Bias Reduction Approach of Time-of-Flight-Based Wireless Localization Networks in NLOS States. IET RADAR SONAR AND NAVIGATION, 12, 1353, 2018.
- [19] 熊海良 , 杨阳 , 杜正锋 and 许宏吉. Efficient Bias Reduction Approach of Time-of-Flight-Based Wireless Localization Networks in NLOS States. IET RADAR SONAR AND NAVIGATION, 12, 1353, 2018.
- [20] 杨阳 , 熊海良 and 李夏. The Depth Estimation of 3D Face from Single 2D Picture Based on Manifold Learning Constraints. 2017.