个人简介：

童超博士，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。2013-2014年任加拿大麦吉尔大学、魁北克大学访问教授。中国计算机学会（CCF）会员、IEEE会员、ACM会员。

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、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。

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，期刊《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。目前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。

通讯地址：

北京市海淀区学院路37号，北京航空航天大学。新主楼G座1029室

邮箱：tongchao@buaa.edu.cn

研究成果（部分）

 

论文：

Tong C, Zheng Z. An Image Privacy Protection Algorithm Based on Adversarial Perturbation Generative Networks[J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).

Tong C, Liang B, Su Q, Yu M, Hu J, Ali Kashif Bashir, Zheng Z. Pulmonary Nodule Classification Based on Heterogeneous Features Learning. IEEE Journal on Selected Areas in Communications. 2020.

Tong C, Liang B, Zhang M, Chen R, Arun Kumar Sangaiah, Zheng Z, Wan T, Tue C, Yang X. Pulmonary Nodule Detection based on ISODATA-Improved Faster RCNN and 3D-CNN with Focal Loss. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2020, 16(1s): 1-9.

Wan T, Zhao L, Feng H, Tong C, et al. Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement[J]. Neurocomputing, 2020.

Wan S, Qi L, Xu X, Tong C, et al. Deep learning models for real-time human activity recognition with smartphones[J]. Mobile Networks and Applications, 2019: 1-13.

Liang B, Zhai Y, Tong C, et al. A deep automated skeletal bone age assessment model via region-based convolutional neural network[J]. Future Generation Computer Systems, 2019, 98: 54-59.

Wen J, Weng J, Tong C, et al. Sparse signal recovery with minimization of 1-norm minus 2-norm[J]. IEEE Transactions on Vehicular Technology, 2019, 68(7): 6847-6854.

Wan T, Feng H, Tong C, et al. Automated identification and grading of coronary artery stenoses with X-ray angiography[J]. Computer methods and programs in biomedicine, 2018, 167: 13-22.

Tong C, Liang B, Li J, et al. A deep automated skeletal bone age assessment model with heterogeneous features learning[J]. Journal of medical systems, 2018, 42(12): 249.

Tong C, Medsker L, Cheng L, et al. Introduction to the special issue on deep learning for biomedical and healthcare applications[J]. 2018.

Tong C, Yin X, Li J, 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.

Tong C, Yin X, Wang S, 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.

Tong C, Yin X, Li J, et al. A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network[J]. The Computer Journal, 2018, 61(7): 949-958.

Yang T, Long X, Sangaiah A K, et al. Deep detection network for real-life traffic sign in vehicular networks[J]. Computer Networks, 2018, 136: 95-104.

Tong C, Lian Y, Niu J, et al. A novel rating prediction method based on user relationship and natural noise[J]. Multimedia Tools and Applications, 2018, 77(4): 4171-4186.

Tong C, Li J, Lang C, 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.

Tong C, Qi J, Lian Y, et al. TimeTrustSVD: A collaborative filtering model integrating time, trust and rating information[J]. Future Generation Computer Systems, 2019, 93: 933-941.

Tong C, Li J, Wen J. A polynomial time algorithm for a variant of shortest vector problem with applications in compute-and-forward design[J]. Cluster Computing, 2019, 22(5): 10415-10424.

Tong C, Li J, Zhu F. A convolutional neural network based method for event classification in event-driven multi-sensor network. Computers & Electrical Engineering, 2017, 60: 90-99.

Tong C, et al. A Novel Real-Time Fall Detection System Based on Real-Time Video and Mobile Phones. Journal of Circuits, Systems and Computers, 2017, 26(04): 1750056.

Tong C, et al. A Novel Classification Algorithm for New and Used Banknotes. Mobile Networks and Applications, 2017, 22(3): 395-404

Tong C, Li J, Zhang W. Improved RIC bound for the recovery of sparse signals by orthogonal matching pursuit with noise. Electronics Letters, 2016, 52(23): 1956-1958.

Tong C, He W, Niu J, et al. A novel information cascade model in online social networks[J]. Physica A: Statistical Mechanics and its Applications, 2016, 444: 297-310.

Tong C, Lian Y, Niu J, et al. A novel green algorithm for sampling complex networks[J]. Journal of Network and Computer Applications, 2016, 59: 55-62.

Wen J, Tong C, Bai S. Effects of some lattice reductions on the success probability of the zero-forcing decoder[J]. IEEE Communications Letters, 2016, 20(10): 2031-2034.

Tong C, Niu J, Wen J, et al. Weighted label propagation algorithm for overlapping community detection[C]//2015 IEEE International Conference on Communications (ICC). IEEE, 2015: 1238-1243.

Niu J, Wang D, Tong C, et al. Inferring information propagation over online social networks: Edge asymmetry and flow tendency[C]//2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems. IEEE, 2015: 629-634.

Tong C, Niu J, Dai B, et al. A novel complex networks clustering algorithm based on the core influence of nodes[J]. The Scientific World Journal, 2014, 2014.

Tong C, Niu J, Xie Z, et al. Sampling from social network to maintain community structure[J]. International Journal of Communication Systems, 2014, 27(9): 1363-1377.

Li D, Tong C, Wen J. Stability of exact and discrete energy for non-Fickian reaction-diffusion equations with a variable delay[C]//Abstract and Applied Analysis. Hindawi, 2014, 2014.

Tong C, Xie Z, Mo X, et al. Detecting overlapping communities of weighted networks by central figure algorithm[C]//2014 IEEE Computers, Communications and IT Applications Conference. IEEE, 2014: 7-12.

Niu J, Peng J, Shu L, Tong C, et al. An Empirical Study of a Chinese Online Social Network--Renren[J]. Computer, 2013, 46(9): 78-84.

Niu J, Peng J, Tong C. Patterns and a generator of social networks: from the perspective of non-giant connected components[C]//2013 15th International Conference on Advanced Communications Technology (ICACT). IEEE, 2013: 835-840.

Tong C, Niu J W, Qu G Z, et al. Complex networks properties analysis for mobile ad hoc networks[J]. IET communications, 2012, 6(4): 370-380.

Niu J, Huo D, Wang K, Tong C,et al. Real-time generation of personalized home video summaries on mobile devices[J]. Neurocomputing, 2013, 120: 404-414.

Tong C, Niu J, Dai B, et al. Complex networks clustering algorithm based on the core influence of the nodes[C]//2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC). IEEE, 2012: 185-186.

Niu J, Dai B, Du G, Tong C,et al. An AP handover scheme using vehicular Wi-Fi connectivity[C]//2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011: 453-458.

Niu J, Peng J, Tong C, et al. Evolution of disconnected components in social networks: Patterns and a generative model[C]//2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC). IEEE, 2012: 305-313.

Han J, Niu J, Chin A, Tong C, et al. How online social network affects offline events: A case study on douban[C]//2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing. IEEE, 2012: 752-757.

Niu J, Gao Y, Guo S, Tong C, et al. An adaptive wifi rate selection algorithm for moving vehicles with motion prediction[M]//Future Information Technology. Springer, Berlin, Heidelberg, 2011: 85-92.

Cao H, Tong C, Niu J, et al. Improving reliability of Minix3 through crash-only software[C]//2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT). IEEE, 466-470.

Tong C, Long X, and Gao X. Complexity statistical characteristics for Ad hoc network based on random waypoint model [J][J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 10.

Tong C, Gao X, Chen W, et al. SQS: A Secure and QoS Guaranteed Solution for Mobile Service[C]//31st Annual International Computer Software and Applications Conference (COMPSAC 2007). IEEE, 2007, 1: 343-352.

项目：

国家自然科学基金重大研究计划培育项目：基于人工智能肺癌自动诊断系统在肺癌筛查中的卫生经济学评价研究

北京市自然科学基金项目北京市教育委员会科技计划重点项目：基于深度学习CT影像分析的恶性磨玻璃结节分子分型研究

首都卫生发展科研专项项目：新冠肺炎期间胸部CT筛查发现肺结节的全病程智能个体化管理系统建立的研究

国家自然科学基金面上项目：基于大数据的Markov模型应用于我国肺结节管理决策的研究

北京大学第三医院海淀转化专项基金：缺血性及出血性脑血管疾病的人工智能（AI）医学影像诊断工具研发

专利：

童超等.CT图像自动检测方法与系统.专利号:201911064984.9

童超等.基于异构特征融合的缺血性脑卒中发病风险预测模型. 专利号：202210643230.4

童超等.基于状态空间对偶的病理图像分类方法.专利号：202411170605.5

童超等.基于多模态融合的肺癌高危因素诊断方法.专利号：202411266662.3

童超等.一种用于胆道闭锁智能诊断的多模态医学数据分析方法(申请中)

专著：

人工智能在肺癌诊断中的应用 北京航空航天大学出版社