Qi Xuan Professor College of Information Engineering Zhejiang University of Technology 288 Liuhe Road, Hangzhou 310023, China ZJUT: xuanqi@zjut.edu.cn

Courses Introduction to Artificial Intelligence (Undergraduate Students) Machine Learning (Graduate Students)

Research Interests

• Social Network Data Mining: Now we are working with the professors in Carnegie Mellon University, University of California Davis, and City University of Hong Kong to mining online social networks, such as Yelp, Apache and GitHub OSS Communities, StachExchange Q&A Websites, and so on.We try to use the methodologies in network science and machine learning to understand and predict online individual and collaborative human behaviors.
• Deep Learning & Security: We try to use the methodologies in network science and optimization to design better deep learning frameworks, and then apply them in online social network data mining and computer vision in industry. Meanwhile, we also focus on the security problems in the appication of deep learning technologies.

SubGraph Network (SGN) TKDE-2020

Attack on Link Prediction TKDE-2020

E-LSTM-D Framework for Link Prediction TSMC:Systems-2020

Taste Foraging Network TCSS-2018

Research Experience

• Professor. Zhejiang University of Technology. 2017/01~now.
• Visiting Scholar. Carnegie Mellon University. 2019/07~2019/09.
• Research Assistant. City University of Hong Kong. 2017/07~2017/09.
• Visiting Scholar. University of California, Davis. 2015/07~2015/08.
• Associate Professor. Zhejiang University of Technology. 2010/08~2016/12.
• Postdoctoral Researcher. University of California, Davis. 2012/06~2014/06.
• Research Assistant. City University of Hong Kong. 2010/03~2010/06.
• Postdoctoral Researcher. Zhejiang University. 2008/06~2010/08.
• Ph.D. Zhejiang University. 2003/09~2008/06.
• B.S. Zhejiang University. 1999/09~2003/07.

Selected Research Papers

• Qi Xuan, Kunfeng Qiu, Jinchao Zhou, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, Xiaoniu Yang. Adaptive Visibility Graph Neural Network and It's Application in Modulation Classification. IEEE Transactions on Network Science and Engineering, 2022. [IEEE Link, Preprint]
• Qi Xuan, Zhongyuan Ruan, and Yong Min. Graph Data Mining: Algorithm, Security and Application. Book, Springer, 2021. [Springer Link]
• Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan. Time-aware Gradient Attack on Dynamic Network Link Prediction. IEEE Transactions on Knowledge and Data Engineering, 2021. [IEEE Link, Preprint]
• Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan. RobustECD: Enhancement of Network Structure for Robust Community Detection. IEEE Transactions on Knowledge and Data Engineering, 2021. [IEEE Link, Preprint]
• Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen. Subgraph Networks with Application to Structural Feature Space Expansion. IEEE Transactions on Knowledge and Data Engineering, 2021. [IEEE Link, Preprint]
• Likang Yin, Zhunagzhi Chen, Qi Xuan, and Vladimir Filkov. Sustainability Forecasting for Apache Incubator Projects. ESEC/FSE 2021, Athens, Greece, accepted. [Arxiv, Preprint]
• Shanqing Yu, Minghao Zhao, Chenbo Fu, Huimin Huang, Xincheng Shu, Qi Xuan, and Guanrong Chen. Target defense against link-prediction-based attacks via evolutionary perturbations. IEEE Transactions on Knowledge and Data Engineering, 2021. [IEEE Link, Preprint]
• Jinyin Chen, Jian Zhang, Xuanheng Xu, Chengbo Fu, Dan Zhang, Qingpeng Zhang, and Qi Xuan. E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021. [IEEE Link, Preprint]
• Zhongzhi Xu, Jian Zhang, Qingpeng Zhang, Qi Xuan, and Paul Siu Fai Yip. A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction. IEEE Transactions on Cybernetics, 2021. [IEEE Link, Preprint]
• Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Huang, Shilian Zheng, Shichuan Chen, Qi Xuan, and Xiaoniu Yang. SigNet: A Novel Deep Learning Framework for Radio Signal Classification. IEEE Transactions on Cognitive Communications and Networking, 2021. [IEEE Link, Preprint]
• Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, and Qi Xuan. Sampling Subgraph Network with Application to Graph Classification. IEEE Transactions on Network Science and Engineering, 2021. [IEEE Link, Preprint]
• Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, and Qi Xuan. M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. IEEE Transactions on Network Science and Engineering, 2021. [IEEE Link, Preprint]
• Zuohui Chen, Tony Zhang, Zhuangzhi Chen, Yun Xiang, Qi Xuan, and Robert P. Dick. HVAQ: A High-Resolution Vision-Based Air Quality Dataset. IEEE Transactions on Instrumentation and Measurement, 2021. [IEEE Link, Preprint]
• Dan Zhang, Yongyi Chen, Fanghong Guo, Hamid Reza Karimi, Hui Dong, and Qi Xuan. A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings. IEEE Transactions on Instrumentation and Measurement, 2021. [IEEE Link, Preprint]
• Jinyin Chen, Keke Hu, Yue Yu, Zhuangzhi Chen, Qi Xuan, Yi Liu, and Vladimir Filkov. Software visualization and deep transfer learning for effective software defect prediction. In Proceedings of the 42th ACM International Conference on Software Engineering (ICSE'20), Seoul, South Korea, 2020. [ACM Link, Preprint]
• Qi Xuan, Xincheng Shu, Zhongyuan Ruan, Jinbao Wang, Chenbo Fu, and Guanrong Chen. A Self-Learning Information Diffusion Model for Smart Social Networks. IEEE Transactions on Network Science and Engineering, 2020. [IEEE Link, Preprint]
• Chenbo Fu, Yongli Zheng, Yi Liu, Qi Xuan, and Guanrong Chen. NES-TL: Network Embedding Similarity-Based Transfer Learning. IEEE Transactions on Network Science and Engineering, 2020. [IEEE Link, Preprint]
• Qi Xuan, Zhuangzhi Chen, Yi Liu, Huimin Huang, Guanjun Bao, and Dan Zhang. Multiview Generative Adversarial Network and Its Application in Pearl Classification. IEEE Transactions on Industrial Electronics, 2019. [IEEE Link, Preprint].
• Qi Xuan, Binwei Fang, Yi Liu, Jinbao Wang, Jian Zhang, Yayu Zheng, and Guanjun Bao. Automatic pearl classification machine based on a multistream convolutional neural network. IEEE Transactions on Industrial Electronics, 2018. [IEEE Link, Preprint]
• Qi Xuan, Zhi-Yuan Zhang, Chenbo Fu, Hong-Xiang Hu, Vladimir Filkov. Social synchrony on complex networks. IEEE Transactions on Cybernetics, 2018. [IEEE Link, Preprint]
• Chenbo Fu, Minghao Zhao,Lu Fan, Xinyi Chen, Jinyin Chen, Zhefu Wu, Yongxiang Xia, and Qi Xuan. Link weight prediction using supervised learning methods and its application to Yelp layered network. IEEE Transactions on Knowledge and Data Engineering, 2018. [IEEE Link, Preprint]
• Hong-Xiang Hu, Guanghui Wen, Wenwu Yu, Qi Xuan, and Guanrong Chen. Swarming behavior of multiple Euler-Lagrange systems with cooperation-competition interactions: An auxiliary system approach. IEEE Transactions on Neural Networks and Learning Systems, 2018. [IEEE Link, Preprint]
• Zhefu Wu, Qiang Xu, Jianan Li, Chebo Fu, Qi Xuan, Yun Xiang. Passive indoor localization based on CSI and naive Bayes classification. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2018.[IEEE Link, Preprint]
• Bogdan Vasilescu, Kelly Blincoe, Qi Xuan, Casey Casalnuovo, Daniela Damian, Premkumar Devanbu, Vladimir Filkov. The sky is not the limit: multitasking on GitHub projects. In Proceedings of the 38th ACM International Conference on Software Engineering (ICSE'16), Austin, TX, USA, 2016. [ACM Link, Preprint, UCDavis Link]
• Qi Xuan, Aaron Okano, Premkumar Devanbu, and Vladimir Filkov. Focus-Shifting Patterns of OSS Developers and Their Congruence with Call Graphs. In Proceedings of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE'14) , Hong Kong, China, 2014. Nominee: ACM Distinguished Paper Award [ACM Link, Preprint, FSE'14, NetSci'14]
• Qi Xuan and Vladimir Filkov. Building It Together: Synchronous Development in OSS. In Proceedings of the 36th ACM International Conference on Software Engineering (ICSE'14), Hyderabad, India, 2014. [ACM Link, Preprint]

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• Bo Zhou, Yuqian Lv, Jinhuan Wang, Jian Zhang, Qi Xuan. COREATTACK: Breaking Up the Core Structure of Graphs. arXiv:2111.15276, 2021. [Arxiv]
• Zuohui Chen, Yao Lu, Wen Yang, Qi Xuan, and Xiaoniu Yang. Graph-Based Similarity of Neural Network Representations. arXiv:2111.11165, 2021. [Arxiv]
• Yao Lu, Wen Yang, Yunzhe Zhang, Jinhuan Wang, Shengbo Gong, Zhuangzhi Chen, Zuohui Chen, Qi Xuan, and Xiaoniu Yang. Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks. arXiv:2111.12485, 2021. [Arxiv]
• Zhuangzhi Chen, Jingyang Xiang, Yao Lu, Qi Xuan. RGP: Neural Network Pruning through Its Regular Graph Structure. arXiv:2110.15192, 2021. [Arxiv]
• Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang. GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. arXiv:2107.07043, 2021. [Arxiv]
• Qi Xuan, Xiaohui Li, Zhuangzhi Chen, Dongwei Xu, Shilian Zheng, and Xiaoniu Yang. Deep Transfer Clustering of Radio Signals. arXiv:2107.12237, 2021. [Arxiv]
• Songtao Peng, Xincheng Shu, Zhongyuan Ruan, Zegang Huang, and Qi Xuan. Inferring Multiple Relationships between ASes using Graph Convolutional Network. arXiv:2107.13504, 2021. [Arxiv]
• Junhao Zhu, Yalu Shan, Jinhuan Wang, Shanqing Yu, Guanrong Chen, and Qi Xuan. DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs. arXiv:2106.09501, 2021. [Arxiv]
• Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, and Qi Xuan. MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN. arXiv:2102.07911, 2021. [Arxiv]
• Qi Xuan, Jinchao Zhou, Kunfeng Qiu, Dongwei Xu, Shilian Zheng, and Xiaoniu Yang. CLPVG: Circular Limited Penetrable Visibility Graph as A New Network Model for Time Series.Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022. [AIP Link, Preprint]
• Zhongyuan Ruan, Bin Yu, Xiyun Zhang, and Qi Xuan. Role of lurkers in threshold-driven information spreading dynamics. Physical Review E, 2021. [APS Link, Preprint]
• Jinhuan Wang, Pengtao Chen, Shanqing Yu, and Qi Xuan. TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts. International Conference on Blockchain and Trustworthy Systems, 2021. [Springer Link, Preprint]
• Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, and Qi Xuan. Identity Inference on Blockchain using Graph Neural Network. International Conference on Blockchain and Trustworthy Systems, 2021. [Springer Link, Preprint]
• Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, and Qi Xuan. Ponzi Scheme Detection in EthereumTransaction Network. International Conference on Blockchain and Trustworthy Systems, 2021. [Springer Link, Preprint]
• Yunyi Xie, Jie Jin, Jian Zhang, Shanqing Yu, and Qi Xuan. Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking. International Conference on Blockchain and Trustworthy Systems, 2021. [Springer Link, Preprint]
• Zuohui Chen, Renxuan Wang, Yao Lu, jingyang Xiang and Qi Xuan. Adversarial Sample Detection via Channel Pruning. ICML 2021 Workshop AML, 2021. [OpenReview Link, Preprint]
• Bo Zhou, Yuqian Lv, Yongchao Mao, Jinhuan Wang, Shanqing Yu, and Qi Xuan. The Robustness of Graph k-shell Structure under Adversarial Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. [IEEE Link, Preprint]
• Dongwei Xu, Hao Yang, Chuntao Gu, Zhuangzhi Chen, Qi Xuan, and Xiaoniu Yang. Adversarial Examples Detection of Radio Signals Based on Multifeature Fusion. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. [IEEE Link, Preprint]
• Likang Yin, Zhunagzhi Chen, Qi Xuan, and Vladimir Filkov. Apache Software Foundation Incubator Project Sustainability Dataset. IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021. [Preprint]
• Yunyi Xie, Jinyin Chen, Jian Zhang, Xincheng Shu, and Qi Xuan. Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS. IEEE Transactions on Computational Social Systems, 2021. [IEEE Link, Preprint]
• Shanqing Yu, Jun Zheng, Yongqi Wang, Jinyin Chen, Qi Xuan, Qingpeng Zhang. Network Embedding Attack: An Euclidean Distance Based Method. MDATA: A New Knowledge Representation Model, pp.131-151, Book Chapter, Springer, 2021. [Springerlink, Preprint]
• Yun Xiang, Yongchao Xu, Yingjie Li, Wen Ma, Qi Xuan, and Yi Liu. Side-Channel Gray-Box Attack for DNNs. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. [IEEE Link, Preprint]
• Jinyin Chen, Yixian Chen, Lihong Chen, Minghao Zhao, and Qi Xuan. Multiscale Evolutionary Perturbation Attack on Community Detection. IEEE Transactions on Computational Social Systems, 2021. [IEEE Link, Preprint]
• Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, and Qi Xuan. MGA: Momentum Gradient Attack on Network. IEEE Transactions on Computational Social Systems, 2021. [IEEE Link, Preprint]
• Yang Ye, Qingpeng Zhang, Zhongyuan Ruan, Zhidong Cao, Qi Xuan, and Daniel Dajun Zeng. Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Physical Review E, 2020. [APS Link]
• Jian Zhang, Jun Zheng, Jinyin Chen, and Qi Xuan. Hyper-substructure enhanced link predictor. 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. [Preprint]
• Jiajun Zhou, Jie Shen, and Qi Xuan. Data augmentation for graph classification. 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. [Preprint]
• Qi Xuan, Yalu Shan, Jinhuan Wang, Zhongyuan Ruan, and Guanrong Chen. Adversarial attack on BC classification for scale-free networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020. [AIP Link, Preprint]
• Zhongyuan Ruan, Bin Yu, Xincheng Shu, Qingpeng Zhang , and Qi Xuan. The impact of malicious nodes on the spreading of false information. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020. [AIP Link, Preprint]
• Yun Xiang, Zhuangzhi Chen, Zuohui Chen, Zebin Fang, Haiyang Hao, Jinyin Chen, Yi Liu, Zhefu Wu, Qi Xuan, Xiaoniu Yang. Open DNN Box by Power Side-Channel Attack. IEEE Transactions on Circuits and Systems II: Express Briefs, 2020. [IEEE Link, Preprint]
• Dongwei Xu, Hongwei Dai, Yongdong Wang, Peng Peng, Qi Xuan, and Haifeng Guo. Road traffic state prediction based on a graph embedding recurrent neural network under the SCATS. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019. [AIP Link, Preprint]
• Yongdong Wang, Dongwei Xu, Peng Peng, Qi Xuan, and Guijun Zhang. Analysis of Hospitalizing Behaviors Based on Big Trajectory Data. IEEE Transactions on Computational Social Systems, 2019. [IEEE Link, Preprint]
• Jinyin Chen, Lihong Chen, Yixian Chen, Minghao Zhao, Shanqing Yu, Qi Xuan, and Xiaoniu Yang. GA Based Q-Attack on Community Detection. IEEE Transactions on Computational Social Systems, 2019. [IEEE Link, Arxiv, Preprint]
• Qi Xuan, Fuxian Li, Yi Liu, Yun Xiang. MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks. IEEE Access, 2019. [IEEE Link, Preprint]
• Qi Xuan, Yewei Yu, Jinyin Chen, Zhongyuan Ruan, Zhong Fu, and Zicong Lv. Robustness Analysis of Bipartite Task Assignment Networks: A Case Study in Hospital Logistics System. IEEE Access, 2019. [IEEE Link, Preprint]
• Jinyin Chen, Yangyang Wu, Xuanheng Xu, Haibin Zheng, Zhongyuan Ruan, and Qi Xuan. PSO-ANE: Adaptive Network Embedding with Particle Swarm Optimization. IEEE Transactions on Computational Social Systems, 2019.[IEEE Link, Preprint]
• Jinyin Chen, Yangyang Wu, Lu Fan, Xiang Lin, Haibin Zheng, Shanqing Yu, and Qi Xuan. N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network. IEEE Transactions on Computational Social Systems, 2019. [IEEE Link, Preprint].
• Jinyin Chen, Yangyang Wu, Xuanheng Xu, Yixian Chen, Haibin Zheng, and Qi Xuan. Fast Gradient Attack on Network Embedding. arXiv:1809.02797, 2018. [Arxiv]
• Qi Xuan, Mingming Zhou, Zhi-Yuan Zhang, Chenbo Fu, Yun Xiang, Zhefu Wu, and Vladimir Filkov. Modern food foraging patterns: Geography and cuisine choices of restaurant patrons on Yelp. IEEE Transactions on Computational Social Systems, 2018. [IEEE Link, Preprint]
• Zhongyuan Ruan, Jinbao Wang, Qi Xuan, Chenbo Fu, Guanrong Chen. Information filtering by smart nodes in random networks. Physical Review E, 2018. [Preprint]
• Qi Xuan, Haoquan Xiao, Chenbo Fu, and Yi Liu. Evolving convolutional neural network and its application in fine-grained visual categorization. IEEE Access, 2018. [IEEE Link, Preprint]
• Jinyin Chen, Yangyang Wu, Xiang Lin, and Qi Xuan. DOE-AND-SCA: A novel SCA based on DNN with optimal eigenvectors and automatic cluster number determination. IEEE Access, 2018. [IEEE Link, Preprint]
• Chenbo Fu, Jinbao Wang, Yun Xiang, Zhefu Wu, Li Yu, Qi Xuan. Pinning control of clustered complex networks with different size. Physica A, 2017. [Preprint]
• Changfei Tong, Huiling Chen, Qi Xuan, Xuhua Yang. A framework for bus trajectory extraction and missing data recovery for data sampled from the Internet. Sensors, 2017. [Preprint]
• Hong-Xiang Hu, Wenwu Yu, Guanghui Wen, Qi Xuan, Jinde Cao. Reverse group consensus of multi-agent systems in the cooperation-competition network. IEEE Transactions on Circuits and Systems-I: Regular Papers, 2016.
• Qi Xuan, Premkumar Devanbu, and Vladimir Filkov. Converging work-talk patterns in online task-oriented communities. PLoS One, 2016. [arXiv, Preprint, Data, Figshare]
• Hong-Xiang Hu, Qi Xuan, Wenwu Yu, Chun-Guo Zhang, Guangming Xie. Second-order consensus for heterogeneous multi-agent systems in the cooperation–competition network: A hybrid adaptive and pinning control approach. Nonlinear Analysis: Hybrid Systems, 2016.
• Qi Xuan, Huiting Fang, Chenbo Fu, and Vladimir Filkov. Temporal motifs reveal collaboration patterns in online task-oriented networks. Physical Review E, 2015. [Preprint]
• Qi Xuan, Chenbo Fu, and Li Yu. Ranking developer candidates by social links. Advances in Complex Systems, 2015. [Preprint]
• Qi Xuan, Xiaodi Ma, Chenbo Fu, Hui Dong, Guijun Zhang, and Li Yu. Heterogeneous Multidimensional Scaling for Complex Networks. International Journal of Modern Physics C, 2015. [PDF, Data]
• Hong-Xiang Hu, Wenwu Yu, Qi Xuan, Li Yu, Guangming Xie. Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics: A time-delayed control. Neurocomputing, 2015.
• Qi Xuan and Vladimir Filkov. Synchrony in Social Groups and Its Benefits. Handbook of Human Computation, Springer, 2013.[PDF]
• Qi Xuan, Mohammad Gharehyazie, Premkumar Devanbu, and Vladimir Filkov. Measuring the Effect of Social Communications on Individual Working Rhythms: A Case Study of Open Source Software. In Proceedings of the 2012 IEEE International Conference on Social Informatics, Washington, D.C., USA, 2012. [PDF, SocialInformatics'12]
• Hong-Xiang Hu, Wenwu Yu, Qi Xuan, Chun-Guo Zhang, and Guangming Xie. Group consensus for heterogeneous multi-agent systems with parametric uncertainties. Neurocomputing, 2014.
• Hong-Xiang Hu, Andong Liu, Qi Xuan, Li Yu, and Guangming Xie. Second-Order Consensus of Multi-Agent Systems in the Cooperation-Competition Network with Switching Topologies: A Time-Delayed Impulsive Control Approach. Systems & Control Letters, 2013.
• Hong-Xiang Hu, Wenwu Yu, Qi Xuan, Li Yu, and Guangming Xie. Consensus for second-order agent dynamics with velocity estimators via pinning control. IET Control Theory and Applications, 2013.
• Qi Xuan, Fang Du, Li Yu, and Guanrong Chen. Reaction-Diffusion Processes and Metapopulation Models on Duplex Networks. Physical Review E, 2013. [PDF]
• Qi Xuan, Li Yu, Fang Du, and Tie-Jun Wu. A Review on Node-Matching between Networks . New Frontiers in Graph Theory, InTech Publisher, 2012. [PDF]
• Qi Xuan, Fang Du, Hui Dong, Li Yu, and Guanrong Chen. Structural Control of Reaction-Diffusion Networks. Physical Review E, 2011. [PDF]
• Qi Xuan, Fang Du, Yanjun Li, and Tie-Jun Wu. A Framework to Model the Topological Structure of Supply Networks. IEEE Transactions on Automation Science and Engineering, 2011. [PDF]
• Qi Xuan, Fang Du, Tie-Jun Wu, Guanrong Chen. Emergence of Heterogeneous Structures in Chemical Reaction-Diffusion Networks. Physical Review E, 2010. [PDF]
• Qi Xuan, Fang Du, and Tie-Jun Wu. Iterative Node Matching between Complex Networks. Journal of Physics A: Mathematical and Theoretical, 2010. [PDF]
• Qi Xuan, Fang Du, and Tie-Jun Wu. Multi-Order Boundaries Among Discrete Domains: Relative Fractal Dimension and Others. Chaos, 2010. [PDF]
• Qi Xuan, Fang Du, and Tie-Jun Wu. Partially Ordered Sets in Complex Networks. Journal of Physics A: Mathematical and Theoretical, 2010. [PDF]
• Fang Du, Qi Xuan, and Tie-Jun Wu. One-to-Many Node Matching between Complex networks. Advances in Complex Systems, 2010. [PDF]
• Fang Du, Qi Xuan, and Tie-Jun Wu. Empirical Analysis of Attention Behaviors in Online Social Networks. International Journal of Modern Physics C, 2010. [PDF]
• Gang Li, Qi Xuan, Zhihuan Song, and Xiaogang Jin. Complex Supply Networks Evolving Model: Complex Networks Perspective . In Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE'10), Hangzhou, China, 2010. [PDF]
• Qi Xuan and Tie-Jun Wu. Node Matching between Complex Networks. Physical Review E, 2009. [PDF]
• Qi Xuan and Tie-Jun Wu. Country Neighborhood Network on Territory and Its Geometrical Model. Physical Review E, 2009. [PDF, Data]
• Qi Xuan, Fang Du, and Tie-Jun Wu. Empirical Analysis of Internet Telephone Network: From User ID to Phone. Chaos, 2009. [PDF]
• Qi Xuan, Yanjun Li, and Tie-Jun Wu. Optimal Symmetric Networks in Terms of Minimizing Average Shortest Path Length and Their Sub-Optimal Growth Model. Physica A: Statistical Mechanics and Its Applications, 2009. [PDF]
• Liang Tang, Qi Xuan, Rong Xiong, Tie-Jun Wu, and Jian Chu. A Multi-Class Large Margin Classifier . Journal of Zhejiang University-Science A, 2009. [PDF]
• Qi Xuan, Yanjun Li, and Tie-Jun Wu. Does the compelled cooperation determine the structure of a complex network?. Chinese Physics Letters, 2008. [PDF]
• Qi Xuan, Yanjun Li, and Tie-Jun Wu. A Local-World Network Model Based on Inter-Node Correlation Degree. Physica A: Statistical Mechanics and Its Applications, 2007. [PDF]
• Qi Xuan, Yanjun Li, and Tie-Jun Wu. Growth Model for Complex Networks with Hierarchical and Modular Structures. Physical Review E, 2006. [PDF]

Created on 06/19/2014, updated on 06/22/2021.