Tong Chao

INTRO
ACHV
CONTACT

Dr. Tong Chao, associate professor of School of Computer Science and Engineering, Beihang University, visiting research fellow of National Engineering Laboratory for Internet Medical Systems and Applications, visiting professor at McGill University and Quebec University in Canada from 2013 to 2014, member of China Computer Federation (CCF), IEEE and ACM.

His main research area covers mobile computing, social and information network analysis, complex networks, machine learning, data mining, image processing, etc., focusing on the application of deep learning in various fields (such as medical diagnosis, smart grid, transportation network, financial investment, image recognition , aviation management, etc.), and the intersection of complex networks, mobile handheld devices and social and information networks (such as network community structure discovery and evolution, network propagation models of information and behavior, etc.). He has rich experiences of mobile-platform based software R&D.

He is principal investigator of several National Natural Science Foundation Projects, Beijing Natural Science Foundation and some corporate joint projects including Nokia, Samsung, Baidu and other projects. He published more than 30 SCI indexed academic papers and possessed more than 20 national invention patents. He is now the associate editor of IEEE Access, guest editor of Transactions on Emerging Telecommunications Technologies，Neural Computing & Applications, reviewer of many famous magazines and meetings including Chinese Journal of Computers, Journal of Computer Research and Development, IEEE Transactions on Services Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE Network Magazine, IEEE Communications Magazine and INFOCOM. Currently, he undertakes the teaching work of Wireless and Mobile Computing, Social Computing, Introduction to Social Computing, Smart Phone Programming, Social and Information Network Analysis, Production Practice and other courses for undergraduate and graduate students.

Selected Publications

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.

BUAA

Tong Chao

Selected Publications

Address：

Email: