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Tao Wu
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Research Interests
● Graph Machine Learning
(1)Graph Neural Networks (GNNs), Interpretability, Open-world Models;
(2)Link Prediction, Community Detection, Node Classification, etc;
(3)Structural Predictability of Graph Data.
● Privacy and Security of Graph Learning
(1)Adversarial Attacks, Poisoning Attacks;
(2)Empirical Analysis of Graph Models;
(3)Robust Graph Models and Its Metrics.
● Knowledge Graph and Applications
(1)Named Entity Recognition; Relation Extraction;
(2)Automatic Question Answering, Relational Reasoning
Biography
Associate Professor and Master Supervisor of Chongqing University of Posts and Telecommunications(CQUPT). I obtained a PhD in Computer Science from the University of Electronic Science and Technology of China (UESTC) in 2017. Before joining CQUPT in 2017, I was a Data Engineer at Tencent Technology (Shenzhen) Company from 2011 to 2013. I have published more than 30 refereed papers, including Information Sciences, Knowledge-Based Systems, Neurocomputing. Also, I have applied for more than 10 national invention patents, 5 of them have been authorized. And in the meanwhile, my first monograph about data analysis has been published by Tongji University Press (TJUP).
I received the Science and Technology Progress Award of Sichuan Province, Best Reviewer for international journal Knowledge-based Systems (KBS), and Excellent Teacher Award of CQUPT. I am the member of Chinese Association for Artificial Intelligence (CAAI) , China Computer Federation (CCF), and board member of Social Computing and Social Intelligence Committee of CAAI. I am also the reviewer of international journals including Knowledge-Based Systems,China Communication, Physica A, IEEE Access, Computers & Electrical Engineering, International Journal of Modern Physics, Tsinghua Science and Technology, Cybersecurity.
Experience
Jan’21-Sep’21 Associate Professor, CQUPT.
- Guide graduate student professional development
-Conduct scientific research, and lead the research sub-group
Jul’17-Dec’20 Assistant Professor, CQUPT.
- Lecturing, grading, and mentoring undergraduate students
- Prepare homework/labs/projects for undergraduate courses
Jul’11-Jan’13 Data Engineer, Tencent Inc.
- Data analysis and mining for system operation and advertising strategy
- Design software pipelines for mining Tencent business data
Major Grants
[1]National Science Foundation of China (NO.61802039): "Network Reconstruction and Regulation Algorithms and Its Application in Privacy Protection”, 20119.01-2021.12
[2]National Key Research And Development Program (2018YFB0904905): "Power System Edge Computing Security Protection Technology”, 2018.07-2021.06
[3]Chongqing Natural Science Foundation (NO.cSTC2020JCYJ-MSXMX0804): "Open Environment Oriented Graph Model Algorithm Security Protection Key Technology”, 2020.07-2023.06
[4]Research Project of Chongqing Education Commission (NO.KJQN201800630): " Key Technology Research of Network Big Data Denoising and Enhancement”, 2018.07-2021.06
[5]Talents Project of Chongqing University of Posts and Telecommunications (NO.A2017-131): "Open Environment Oriented Graph Model Algorithm Security Protection Key Technology”, 2020.07-2023.06
[6]Enterprise Project: "Construction and Application of Large-scale Robust and Reliable Museology Knowledge Graph”, 2020.07-2021.06
[7]National Social Science Foundation of China: "Research on Innovation Community Construction and Collaboration Mechanism in Artificial Intelligence Industry Core Technology Breakthrough”, 2021.01-2023.12
[8]Humanities and Social Science Research Project of Ministry of Education of China(NO.18YJC820060): "Legal Studies on China's Promotion of Global Governance System in Cyberspace” , 2019.01-2020.12
Journal Publications
[1]Xingping Xian, Tao Wu(*), Yu Wu, Yanbing Liu. Towards Privacy and Security of Graph Learning: A Survey. 2021 (In Review).
[2]Wei Wang, Wenyao Li, Tao Lin, Tao Wu(*),Liming Pan(*), Yanbing Liu. Generalized K-core Percolation on High-order Dependent Networks, 2021 (In Review).
[3]Chao Wang, Wenxiong Peng, Weihua Liu, Linyun Xiong, Tao Wu, Zhang Huaiqing, Zhao Wu, Lili Yu. An Adaptive FHMM Model for Non-Intrusive Load Monitoring. International Journal of Electrical Power and Energy Systems, 2020 (In Review).
[4]Shaojie Qiao, Haiquan Song, Faliang Huang, Tao Wu, Kun Yue, Rui Mao, Chang-an Yuan. A Hybrid Imbalanced Classification Approach by Combining Metric Learning. Engineering Applications of Artificial Intelligence, 2020 (In Review).
[5]Tao Wu, Xuechun Wang, Shaojie Qiao(*), Xingping Xian(*), Yanbing Liu, Aidong Xu, Liang Zhang. Small Perturbations are Enough: Adversarial Attacks on Time Series Prediction. Information Sciences, 2021.
[6]Xiaoming Ye, Shaojie Qiao, Nan Han, Kun Yue, Tao Wu, Li Yang, Faliang Huang,Chang-an Yuan. Algorithm for Detecting Anomalous Hosts Based on Group Activity Evolution, Knowledge-Based Systems, 2021:214,106734.
[7]Xingping Xian, Tao Wu(*), Shaojie Qiao, Wei Wang, Chao Wang, Yanbing Liu. Deep Ensemble Coding: Adversarial Attacks against Structure Prediction Models. Neurocomputing , 2021: 437,168–185.
[8]Xingping Xian, Tao Wu(*), Wei Wang, Chao Wang, Yonggang Xiao, Yanbing Liu, Guangxia Xu. Towards Link Inference Attack Against Network Structure Perturbation. Knowledge-Based Systems, 2020,218:106674.
[9]Xingping Xian, Tao Wu(*), Shaojie Qiao, Xi-Zhao Wang, Wei Wang, Yanbing Liu. NetSRE: Link Predictability Measuring and Regulating. Knowledge-Based Systems, 2020, 196: 105800.
[10][18]Dingxiang Liu, Shaojie Qiao, Nan Han, Tao Wu, Rui Mao, Yongqing Zhang, Changan Yuan, Yueqiang Xiao. SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory. IEEE Access, 2020, 8: 50180-50189.
[11]Xing Chen, Tao Wu(*), Xingping Xian, Chao Wang, Ye Yuan, Guannan Ming. Enhancing robustness of link prediction for noisy complex networks, Physica A, 2020, 555:124544.
[12]Xingping Xian, Tao Wu(*), Shaojie Qiao, Wei Wang, Yanbing Liu, Nan Han. Multi-View Low-Rank Coding based Structural De-anonymization for Privacy Preserving. IEEE Access, 2020 , 8:94575-94593. (SCI, Impact Factor: 4.098).
[13]Tao Wu (#)(*), Guannan Ming, Xingping Xian, Wei Wang, Shaojie Qiao, Guangxia Xu. Structural Predictability Optimization Against Inference Attacks in Data Publishing. IEEE Access, 2019, 7: 92119-92136 (SCI, Impact Factor: 4.07).
[14]Wei Wang, Yuanhui Ma, Tao Wu, Yang Dai, Xingshu Chen, and Lidia A. Braunstein. Containing misinformation spreading in temporal social networks. Chaos, 2019, 29:123131. (SCI, Impact Factor: 2.643).
[15]Shuai Zhang, Wei Wang, Tao Wu, and Tao Lin, Phase transition of a generalized contact process on complex Networks. Physica A, 2019, 534:122218(SCI, Impact Factor: 2.500).
[16]Shuang Zhang, Tao Wu, Wei Wang, and Tao Lin. Irreversible contact process on complex networks with dynamical recovery probability, Physica A, 527, 121336, 2019 (SCI, Impact Factor: 2.500).
[17]Tao Wu (#)(*), Xingping Xian, Linfeng Zhong, Xi Xiong, H. Eugene Stanley. Power iteration ranking via hybrid diffusion for vital nodes identification[J]. Physica A, 2018, 506:802-815 (SCI, Impact Factor: 2.243 ).
[18]Xiong Xi, Qiao Shao-Jie, Wu Tao, Wu Yue, Han Nan, Zhang Haiqing. Spatio-temporal Feature Based Emotional Contagion Analysis and Prediction Model for Online Social Networks. Acta Automatica Sinica, 2018, 44(12): 2290-2299.
[19]Tao Wu (#)(*), Leiting Chen, Linfeng Zhong, Xingping Xian. Enhanced collective influence: A paradigm to optimize network disruption[J]. Physica A, 2017, 472:43-52 (SCI, Impact Factor: 2.132).
[20]Tao Wu (#)(*), Leiting Chen, Linfeng Zhong, Xingping Xian. Predicting the evolution of complex networks via similarity dynamics[J]. Physica A, 2017,465:662-672 (SCI, Impact Factor: 2.132).
[21]Tao Wu, Leiting Chen, Xingping Xian, Yuxiao Guo. Evolution prediction of multi-scale information diffusion dynamics[J]. Knowledge-Based Systems, 2016,113:186-198 (SCI, Impact Factor: 4.396 ).
[22]Tao Wu (#)(*), Yuxiao Guo, Leiting Chen and Yanbing Liu. Integrated structure investigation in complex networks by label propagation[J]. Physica A, 2016,448:68-80 (SCI, Impact Factor: 2.132).
Conference/Workshop Publications (Peer-reviewed)
[1]Jing Zhu, Tao Wu, Jintao Li, Yanbin Liu, Qixin Jiang. Multi-keyword Cipher-text Retrieval Method for Smart Grid Edge Computing. Journal of Physics: Conference Series. Vol. 1754. No. 1. IOP Publishing, 2021.
[2]Aidong Xu, Tao Wu, Yunan Zhang, Zhiwei Hu, Yixin Jiang. Graph-Based Time Series Edge Anomaly Detection in Smart Grid. IEEE International Conference on Big Data Security on Cloud (BigDataSecurity), 2021.
[3]Aidong Xu, Xuechun Wang, Yunan Zhang, Tao Wu, Xingping Xian. Adversarial Attacks on Deep Neural Networks for Time Series Prediction, ICICSE, 2021.
[4]Yunan Zhang, Tao Wu and Xingping Xian. A Brief Survey on Privacy-Preserving Methods for Graph-Structured Data, ICIVIS2021
[5]Yanwen Guo, Tao Wu, Yanbing Liu, and Yixin Jiang. Univariate Forecasting of time series data Based on Seq2Seq Model. Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering. 2020.
[6]Guannan Ming, Tao Wu, Xiaofeng Liao, Xingping Xian. Structural Predictability Regulation for Graph data[C], IEEE 3rd International Conference on Electronic Information Technology and Computer Engineering. IEEE, 2019.
[7]Tao Wu, Leiting Chen, Yayong Guan, Xin Li, Yuxiao Guo. LPA based Hierarchical Community Detection [C], IEEE 17th International Conference on Computational Science and Engineering (CSE), Chengdu, 19-21 Dec. 2014.
[8]Yayong Guan, Tao Wu, Jin Ning, Hong-Bin Cai. Hybrid attributes similarity measurement for spectral clustering [C], 11th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, 19-21 Dec. 2014.
Professional Service & Leadership
●Knowledge-Based Systems (KBS) Reviewer
●Computers & Electrical Engineering Reviewer
●International Journal of Modern Physics B Reviewer
●China Communication Reviewer
●Physica A Reviewer
●IEEE Access Reviewer
●Computers & Electrical Engineering Reviewer
●Tsinghua Science and Technology Reviewer
●Cybersecurity Reviewer
●Member of China Computer Society (CCF)
●Member of Chinese Association for Artificial Intelligence (CAAI)
●Board member of Social Computing and Social Intelligence Committee of CAAI
Honors & Awards
●2006 LanZhou University of Technology fellowship, Awarded to outstanding undergraduate students
●2008 Outstanding graduate thesis Award, LanZhou University of Technology
●2010 Chongqing University of Posts and Telecommunications fellowship
●2011 Outstanding graduate thesis Award, CQUPT
●2015 University of Electronic Science and Technology of China fellowship
●2017 Best Reviewer for Knowledge-based Systems (KBS)
●2018 Science and Technology Progress Award of Sichuan Province
●2020 Excellent Teacher Award of CQUPT
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