Introduction

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.

Contact

Room 1029, Block G, New Main Building, BUAA, No. 37, College Road, Haidian District, Beijing

Email: tongchao@buaa.edu.cn

Selected Publications

 

Papers：

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.

Projects

NSFC Major Research Plan Cultivation Project: Health economic evaluation of AI-based lung cancer auto-diagnosis systems in lung cancer screening

Beijing NSFC & Municipal Education Commission Key Tech Project: Molecular classification of malignant ground-glass nodules via deep learning CT image analysis

Capital Health Research & Development Special Project: Research on establishing intelligent individualized management system for lung nodules detected by chest CT during COVID-19

NSFC General Project: Markov model based on big data for lung nodule management decision-making in China

Peking University Third Hospital Haidian Transformation Special Fund Project: Development of AI-based medical imaging diagnostic tools for ischemic and hemorrhagic cerebrovascular diseases

Patents

Tong Chao et al. CT Image Auto-Detection Method & System. Patent No.: 201911064984.9

Tong Chao et al. Ischemic Stroke Risk Prediction Model Based on Heterogeneous Feature Fusion. Patent No.: 202210643230.4

Tong Chao et al. Pathological Image Classification Method Based on State Space Duality. Patent No.: 202411170605.5

Tong Chao et al. Lung Cancer Risk Factor Diagnosis Method Based on Multimodal Fusion. Patent No.: 202411266662.3

Tong Chao et al. Multimodal Medical Data Analysis Method for Biliary Atresia Intelligent Diagnosis (Application in Progress)

Books

Application of Artificial Intelligence in Lung Cancer Diagnosis. Beijing University of Aeronautics and Astronautics Press