童超 - 北京航空航天大学

个人简介

童超，北京航空航天大学计算机学院副教授，博士生导师，互联网医疗系统与应用国家工程实验室客座研究员。中国计算机学会（CCF）会员，IEEE会员，ACM会员。先后由国家公派在加拿大麦吉尔大学、加拿大魁北克大学进行访问研究。先后主持国家自然科学基金面上项目、国家自然科学基金重点项目课题、北京市自然科学基金、诺基亚、三星、百度等企业联合课题多项，参与国家自然基金重点项目、国家 863项目、航空基金等课题多项。发表SCI检索学术论文30余篇，申请国家发明专利20余项。目前是期刊《IEEE Access》的Associate Editor，曾任《Transactions on Emerging Telecommunications Technologies》、《Neural Computing & Applications》的Guest Editor。是《计算机学报》、《计算机研究与发展》、《IEEE Transactions on Services Computing》、《IEEE Transactions on Intelligent Transportation Systems》、《IEEE Network Magazine》、《IEEE Communications Magazine》、INFOCOM等国内外著名期刊和会议的审稿人。先后承担本科生和研究生《无线与移动计算》、《社会计算》、《社会计算导论》、《智能手机程序设计》、《社会与信息网络分析》、《生产实习》等课程。

研究领域

主要研究方向是移动计算、社会与信息网络分析、复杂网络、机器学习、数据挖掘、压缩感知、图像处理等，重点关注深度学习用于各个领域（如医疗诊断、智能电网、交通网络、金融投资、图像识别、航空管理等），以及复杂网络、移动手持设备与社会与信息网络相交叉的研究领域（网络社区结构发现及其演化、信息和行为的网络传播模型等），具有丰富的基于手机平台的软件研发经验。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

C Tong, et al. Pulmonary Nodule Classification Based on Heterogeneous Features Learning. IEEE Journal on Selected Areas in Communications. 2021，39(2):574-581. C Tong, M Zhang, C Lang, et al. An Image Privacy Protection Algorithm Based on Adversarial Perturbation Generative Networks. ACM Transactions on Multimedia Computing Communications and Applications. 2020.1 online. C Tong, B Liang, M Zhang, et al. Pulmonary Nodule Detection based on ISODATA-Improved Faster RCNN and 3D-CNN with Focal Loss. ACM Transactions on Multimedia Computing Communications and Applications. 2020,16(1s): Article 36. C Tong, J Qi, Y Lian, et al. TimeTrustSVD: A Collaborative Filtering Model Integrating Time, Trust and Rating Information[J]. Future Generation Computer Systems, 2019, 93: 933-941. C Tong, J Li, J Wen. A Polynomial Time Algorithm for a Variant of Shortest Vector Problem with Applications in Compute-and-forward Design[J]. Cluster Computing- The Journal of Networks, Software Tools and Applications, 2019, 22(5): 10415-10424. Z Gao, D Y Wang, S H Wan, C Tong,et al. Cognitive-inspired Class-statistic Matching with Triple-constrain for Camera Free 3D Object Retrieval[J]. Future Generation Computer Systems, 2019, 94: 641 Y Cheng, Z Zheng, J Wang, C Tong,et al. Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things[J]. Wireless Communications and Mobile Computing, 2019, 3525347. C Tong, J Li, C Lang, et al. An Efficient Deep Model for Day-ahead Electricity Load Forecasting with Stacked Denoising Auto-encoders[J]. Journal of Parallel and Distributed Computing, 2018, 117: 267-273. C Tong, X Yin, J Li, et al. An Innovative Deep Architecture for Aircraft Hard Landing Prediction Based on Time-series Sensor Data[J]. Applied Soft Computing, 2018, 73: 344-349. C Tong, X Yin, S Wang, et al. A Novel Deep Learning Method for Aircraft Landing Speed Prediction Based on Cloud-based Sensor Data[J]. Future Generation Computer Systems, 2018, 88: 552-558. C Tong, B Liang, J Li, et al. A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning[J]. Journal of medical systems, 2018, 42(12): 249. C Tong, Y Lian, J Niu, et al. A Novel Rating Prediction Method Based on User Relationship and Natural Noise[J]. Multimedia Tools and Applications, 2018, 77(4): 4171-4186. T Yang, X Long, C Tong,A K Sangaiah, et al. Deep Detection Network for Real-life Traffic Sign in Vehicular Networks[J]. Computer Networks, 2018, 136: 95-104. C Tong, J Li, F Zhu. A Convolutional Neural Network Based Method for Event Classification in Event-driven Multi-sensor Network[J]. Computers & Electrical Engineering, 2017, 60: 90-99. C Tong, Y Lian, Y Zhang, et al. A Novel Real-time Fall Detection System Based on Real-time Video and Mobile Phones[J]. Journal of Circuits, Systems and Computers, 2017, 26(04): 1750056. C Tong, Y Lian, J Qi, et al. A Novel Classification Algorithm for New and Used Banknotes[J]. Mobile Networks and Applications, 2017, 22(3): 395-404. C Tong, Y Lian, J Niu, et al. A Novel Green Algorithm for Sampling Complex Networks[J]. Journal of Network and Computer Applications, 2016, 59: 55-62. C Tong, W He, J Niu, et al. A Novel Information Cascade Model in Online Social Networks[J]. Physica A: Statistical Mechanics and its Applications, 2016, 444: 297-310. C Tong, J Li, W Zhang. Improved RIC Bound for the Recovery of Sparse Signals by Orthogonal Matching Pursuit with Noise[J]. Electronics Letters, 2016, 52(23): 1956-1958.