@article {1818, title = {DeepHole: Identifying Structural Hole Spanners in Online Social Networks Using Behavior Embedding}, journal = {IEEE Transactions on Computational Social Systems}, year = {2025}, month = {08/2025}, author = {Qingyuan Gong and Shaokui Gu and Xin Wang and Junjie Yao and Pan Hui and Jar-Der Luo and Xiaoming Fu and Yang Chen} } @article {1815, title = {Internet Scan Source Identification: A Survey}, journal = {IEEE Network}, year = {2025}, month = {05/2025}, doi = {10.1109/MNET.2025.3574126}, author = {Enhuan Dong and Jiahai Yang and Zhiliang Wang and Xin He and Jie Fang and Shenao Li and Supei Zhang and Zeyuan Guo and Hui Zhang and Zimu Li and Xiaoming Fu} } @article {1790, title = {Alleviating Educational Inequality in Math with the Aid of Online Shadow Education - The impact of equal access and equal quality mechanisms}, journal = {Education and Information Technologies}, volume = {29}, year = {2024}, month = {06/2024}, pages = {10571-10593}, abstract = {

This paper aims to investigate whether online private supplementary education, also known as shadow education, can alleviate educational inequality and what types of mechanisms can help alleviate it. We investigate this using an online learning platform dataset (3,603 anonymous students from China) with additional data from multiple sources and employ geospatial analyses to measure students{\textquoteright} socioeconomic, regional and rural/urban inequalities. We find that taking part in online education narrows the performance gap in mathematics between privileged and unprivileged students in terms of school status and regional disparity in China. Theoretically, two micro-level mechanisms explain the alleviating differences: 1) equal access mechanism: students from lower city tiers and low-status schools show greater score improvement when having equal access to online education; 2) equal quality mechanism: students from rural regions improve their in-class rankings more substantially if they receive equal quality online education with the same tutoring and learning environment alongside urban students. This study comprehensively looks at the different effects of two mechanisms of online education{\textemdash}equal access and equal quality{\textemdash}for alleviating various types of inequality. Thus we speak to both educational inequality and digital inequality theory, finding that equal access to online education is not enough for rural students, as they also need access to classes of equal educational quality with their urban counterparts.

}, doi = {10.1007/s10639-023-12214-5}, url = {https://doi.org/10.1007/s10639-023-12214-5}, author = {Xin Gao and Jar-Der Luo and Hui Chen and Yuanyi Zhen and Jiaquan Zhang and Xiaoming Fu} } @article {1792, title = {The influencing factors and predictability of primary school students{\textquoteright} learning performance in online supplementary classes}, journal = {Education and Information Technologies}, volume = {29}, year = {2024}, month = {09/2024}, pages = {10995-11021}, abstract = {

Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and giving their quantified importance, including student information, family information, and course information by applying Machine Learning method to one of the world{\textquoteright}s largest online learning platforms. Big data analysis is employed for this purpose via leveraging the abundance of data generated from online education platforms, providing insights that are not attainable through conventional methods such as panel surveys or questionnaires used in offline education. The findings indicate that the most significant factor affecting student performance is the disparity in access to educational resources and the socioeconomic status of families. Finally, we predict students{\textquoteright} online learning performance by using explainable machine learning with different groups of features. Our results indicate approximately 70\% accuracy in predicting students{\textquoteright} performance progress.

}, doi = {10.1007/s10639-023-12246-x}, url = {https://link.springer.com/article/10.1007/s10639-023-12246-x}, author = {Zhengze Li and Hui Chen and Xin Gao} } @article {1798, title = {Joint Deployment of Truck-drone Systems for Camera-based Object Monitoring}, journal = {IEEE Transactions on Mobile Computing}, volume = {23}, year = {2024}, month = {10/2024}, pages = {9645-9662}, doi = {10.1109/TMC.2024.3367849}, author = {Lihao Wang and Weijun Wang and Haipeng Dai and Yuben Qu and Jiaqi Zheng and Rong Gu and Guihai Chen and Xiaoming Fu} } @article {1772, title = {A Human Mobility Dataset Collected via LBSLab}, journal = {Data in Brief}, year = {2023}, month = {01/2023}, author = {Yuwei Zhang and Qingyuan Gong and Yang Chen and Yu Xiao and Xin Wang and Pan Hui and Xiaoming Fu} } @article {1791, title = {SmartSBD: Smart shared bottleneck detection for efficient multipath congestion control over heterogeneous networks}, journal = {Computer Networks}, volume = {237}, year = {2023}, month = {12/2023}, pages = {110047}, author = {Enhuan Dong and Peng Gao and Yuan Yang and Mingwei Xu and Xiaoming Fu and Jiahai Yang} } @article {1759, title = {Adaptive and Efficient Qubit Allocation Using Reinforcement Learning in Quantum Networks}, journal = {IEEE Network}, volume = {36}, year = {2022}, month = {09/2022}, pages = {48-54}, abstract = {

Quantum entanglement brings high-speed and inherently privacy-preserving transmission for information communication in quantum networks. The qubit scarcity is an important issue that cannot be ignored in quantum networks due to the limited storage capacity of quantum device, the short lifespan of qubits, etc. In this article, we first formulate the qubit competition problem as the Cooperative-Qubit-Allocation-Problem (CQAP) by taking into account both the waiting time and the fidelity of end-to-end entanglement with the given transmission link set. We then model the CQAP as a Markov Decision Process (MDP) and adopt Reinforcement Learning (RL) algorithm to self-adaptively and cooperatively allocate qubits among quantum repeaters. Further, we introduce Active Learning (AL) algorithm to improve the efficiency of RL algorithm by reducing its trialerror times. Simulation results demonstrate that our proposed algorithm outperforms the benchmark algorithms, with 23.5 ms reduction on average waiting time and 19.2 improvement on average path maturity degree, respectively.

}, keywords = {Quantum entanglement, quantum networks, qubit allocation, reinforcement learning}, author = {Yanan Gao and Song Yang and Fan Li and Xiaoming Fu} } @article {1748, title = {Optimal Deployment of SRv6 to Enable Network Interconnection Service}, journal = {IEEE/ACM Transactions on Networking}, volume = {30}, year = {2022}, month = {02/2022}, pages = {120-133}, doi = {10.1109/TNET.2021.3105959 }, author = {Bangbang Ren and Deke Guo and Yali Yuan and Guoming Tang and Weijun Wang and Xiaoming Fu} } @article {1747, title = {Optimal Embedding of Aggregated Service Function Tree}, journal = {IEEE Transactions on Parallel and Distributed Systems}, volume = {33}, year = {2022}, month = {10/2022}, pages = {2584-2596}, abstract = {

Many hardware-based security middleboxes have been deployed in the networks to defend against different threats. However, these hardware middleboxes are hard to upgrade or migrate. The emergence of network functions virtualization (NFV), which realizes various security functions in the form of virtual network functions (VNFs), brings many benefits to network security. To improve the security level further, several VNFs are coordinated in a pre-defined order to form service function chains (SFCs). It is expected that the SFCs are embedded properly with low cost, including the VNF setup cost and the flow routing cost. In this paper, we find that when an SFC is required by multiple flows for the identical network security threats, the total cost could be reduced by embedding an aggregated service function tree (ASFT) instead of multiple independent SFCs. We formally characterize the integer programming model of this problem and prove that it is NP-hard. Then we propose a performance-guaranteed approximation algorithm and prove that the algorithm could find the optimal solution in a special case. Extensive experiments indicate that our method can reduce the total cost by\ 22.0\%\ and\ 24.1\%\ against two compared algorithms, respectively.

}, doi = {10.1109/TPDS.2022.3147870}, author = {Deke Guo and Bangbang Ren and Guoming Tang and Lailong Luo and Tao Chen and Xiaoming Fu} } @article {1707, title = {Cross-Site Prediction on Social Influence for Cold-Start Users in Online Social Networks}, journal = {ACM Transactions on the Web}, volume = {15}, year = {2021}, month = {05/2021}, chapter = {6:1-6:23}, doi = {10.1145/3409108}, url = {https://dl.acm.org/doi/10.1145/3409108}, author = {Qingyuan Gong and Yang Chen and Xinlei He and Yu Xiao and Pan Hui and Xin Wang and Xiaoming Fu} } @conference {1731, title = {A Data-Driven Analysis of K-12 Students{\textquoteright} Participation and Learning Performance in an Online Supplementary Learning Platform}, booktitle = {The 30th IEEE International Conference on Computer Communications and Networks (ICCCN 2021)}, year = {2021}, month = {07/2021}, publisher = {IEEE}, organization = {IEEE}, address = {Athens, Greece}, author = {Jiaquan Zhang and Xin Gao and Hui Chen and Lei Chen and Liang Wang and Jar-Der Luo and Xiaoming Fu} } @article {1727, title = {DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network}, journal = {IEEE Transactions on Dependable and Secure Computing}, volume = {18}, year = {2021}, month = {09/2021}, pages = {2193-2208}, doi = {10.1109/TDSC.2021.3068307}, author = {Xinlei He and Qingyuan Gong and Yang Chen and Yang Zhang and Xin Wang and Xiaoming Fu} } @conference {1726, title = {SRUF: Low-Latency Path Routing with SRv6 Underlay Federation in Wide Area Network}, booktitle = {The 41st IEEE International Conference on Distributed Computing Systems (ICDCS 2021)}, year = {2021}, month = {07/2021}, author = {Bangbang Ren and Deke Guo and Guoming Tang and Weijun Wang and Lailong Luo and Xiaoming Fu} } @conference {DBLP:conf/www/HuangZZZWYWJ018, title = {A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data}, booktitle = {Proceedings of the 2018 World Wide Web Conference on World Wide Web, {WWW} 2018, Lyon, France, April 23-27, 2018}, year = {2018}, pages = {1785{\textendash}1794}, publisher = {{ACM}}, organization = {{ACM}}, doi = {10.1145/3178876.3186169}, url = {http://doi.acm.org/10.1145/3178876.3186169}, author = {Hong Huang and Bo Zhao and Hao Zhao and Zhou Zhuang and Zhenxuan Wang and Xiaoming Yao and Xinggang Wang and Hai Jin and Xiaoming Fu}, editor = {Pierre-Antoine Champin and Fabien L. Gandon and Mounia Lalmas and Panagiotis G. Ipeirotis} } @article {1634, title = {DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks}, journal = {IEEE Communications Magazine, Feature Topic on Mobile Big Data for Urban Analytics}, volume = {56}, year = {2018}, month = {11/2018}, author = {Gong, Qingyuan and Chen, Yang and He, Xinlei and Zhuang, Zhou and Wang, Tianyi and Huang, Hong and Wang, Xin and Fu, Xiaoming} } @conference {1670, title = {Identification of Influential Users in Emerging Online Social Networks Using Cross-site Linking}, booktitle = {CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2018)}, year = {2018}, month = {08/2018}, publisher = {Springer}, organization = {Springer}, address = {Guilin, China}, doi = {10.1007/978-981-13-3044-5_24}, author = {Qingyuan Gong and Yang Chen and Xinlei He and Fei Li and Xiao Yu and Pan Hui and Xin Wang and Xiaoming Fu} } @conference {1639, title = {LBSLab: {A} User Data Collection System in Mobile Environments}, booktitle = {Proceedings of the 2018 {ACM} International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, UbiComp/ISWC 2018 Adjunct, Singapore, October 08-12, 2018}, year = {2018}, doi = {10.1145/3267305.3267546}, url = {https://doi.org/10.1145/3267305.3267546}, author = {Qingyuan Gong and Xinlei He and Qinge Xie and Shihan Lin and Guozhen She and Ruiyu Fang and Rui Han and Yang Chen and Yu Xiao and Xiaoming Fu and Xin Wang} } @conference {1646, title = {This Place is Swarming: Using a Mobile Social App to Study Human Traffic in Cities}, booktitle = {2018 {IEEE} International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018, Athens, Greece, March 19-23, 2018}, year = {2018}, doi = {10.1109/PERCOMW.2018.8480234}, url = {https://doi.org/10.1109/PERCOMW.2018.8480234}, author = {Hao Zhao and Qingyuan Gong and Yang Chen and Jingrong Chen and Yong Li and Xiaoming Fu} } @article {1630, title = {Understanding the behavioral differences between american and german users: A data-driven study}, journal = {Big Data Mining and Analytics}, volume = {1}, year = {2018}, month = {December}, pages = {284-296}, abstract = {

Given that the USA and Germany are the most populous countries in North America and Western Europe, understanding the behavioral differences between American and German users of online social networks is essential. In this work, we conduct a data-driven study based on the Yelp Open Dataset. We demonstrate the behavioral characteristics of both American and German users from different aspects, i.e., social connectivity, review styles, and spatiotemporal patterns. In addition, we construct a classification model to accurately recognize American and German users according to the behavioral data. Our model achieves high classification performance with an F1-score of 0.891 and AUC of 0.949.

}, keywords = {American users, behavioral characteristics, behavioral data, behavioral difference, behavioral differences, Big Data, Business, Cultural differences, data-driven study, Europe, German users, learning (artificial intelligence), machine learning, online social networks, pattern classification, review styles, social aspects of automation, social connectivity, Social network services, social networking (online), spatiotemporal patterns, Spatiotemporal phenomena, Urban areas, Yelp}, issn = {2096-0654}, doi = {10.26599/BDMA.2018.9020024}, author = {Chenxi Yang and Yang Chen and Qingyuan Gong and Xinlei He and Yu Xiao and Yuhuan Huang and Xiaoming Fu} } @conference {DBLP:conf/www/ChenDHCH017, title = {Building and Analyzing a Global Co-Authorship Network Using Google Scholar Data}, booktitle = {Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017}, year = {2017}, pages = {1219{\textendash}1224}, publisher = {{ACM}}, organization = {{ACM}}, doi = {10.1145/3041021.3053056}, url = {http://doi.acm.org/10.1145/3041021.3053056}, author = {Yang Chen and Cong Ding and Jiyao Hu and Ruichuan Chen and Pan Hui and Xiaoming Fu}, editor = {Rick Barrett and Rick Cummings and Eugene Agichtein and Evgeniy Gabrilovich} } @conference {DBLP:conf/ewsn/MenzelFKZZLZ17, title = {Poster: {MULMOD} - MULtiMODal Sustainable Mobility for Smart Cities in China and Germany}, booktitle = {Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, {EWSN} 2017, Uppsala, Sweden, February 20-22, 2017}, year = {2017}, pages = {222{\textendash}223}, publisher = {Junction Publishing, Canada / {ACM}}, organization = {Junction Publishing, Canada / {ACM}}, url = {http://dl.acm.org/citation.cfm?id=3108050}, author = {Christoph J. Menzel and Xiaoming Fu and Lutz Kolbe and Xu Zhang and Ruhua Zhang and Cong Liu and Yuezhi Zhou}, editor = {Per Gunningberg and Thiemo Voigt and Luca Mottola and Chenyang Lu} } @conference {DBLP:conf/www/XuTLZFJ17, title = {Trajectory Recovery From Ash: User Privacy Is {NOT} Preserved in Aggregated Mobility Data}, booktitle = {Proceedings of the 26th International Conference on World Wide Web, {WWW} 2017, Perth, Australia, April 3-7, 2017}, year = {2017}, pages = {1241{\textendash}1250}, publisher = {{ACM}}, organization = {{ACM}}, doi = {10.1145/3038912.3052620}, url = {http://doi.acm.org/10.1145/3038912.3052620}, author = {Fengli Xu and Zhen Tu and Yong Li and Pengyu Zhang and Xiaoming Fu and Depeng Jin}, editor = {Rick Barrett and Rick Cummings and Eugene Agichtein and Evgeniy Gabrilovich} } @article {DBLP:journals/ijcomsys/GuoCFAJ16, title = {Mobile internet: content, security and terminal}, journal = {Int. J. Communication Systems}, volume = {29}, number = {14}, year = {2016}, pages = {2062{\textendash}2064}, doi = {10.1002/dac.3092}, url = {https://doi.org/10.1002/dac.3092}, author = {Jun Guo and Sung Ho Cho and Xiaoming Fu and Nirwan Ansari and Hong Ji} } @article {DBLP:journals/ton/DuLTGFL15, title = {Rating Network Paths for Locality-Aware Overlay Construction and Routing}, journal = {{IEEE/ACM} Trans. Netw.}, volume = {23}, number = {5}, year = {2015}, pages = {1661{\textendash}1673}, doi = {10.1109/TNET.2014.2337371}, url = {https://doi.org/10.1109/TNET.2014.2337371}, author = {Wei Du and Yongjun Liao and Narisu Tao and Pierre Geurts and Xiaoming Fu and Guy Leduc} } @conference {DBLP:conf/gi/HameedWZF12, title = {Evaluation of Human Altruism Using a DTN-based Mobile Social Network Application}, booktitle = {Informatik 2012, 42. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 16.-21.09.2012, Braunschweig, Deutschland}, series = {{LNI}}, volume = {208}, year = {2012}, pages = {81{\textendash}95}, publisher = {{GI}}, organization = {{GI}}, url = {http://subs.emis.de/LNI/Proceedings/Proceedings208/article47.html}, author = {Sufian Hameed and Alexander Wolf and Konglin Zhu and Xiaoming Fu}, editor = {Ursula Goltz and Marcus A. Magnor and Hans-J{\"u}rgen Appelrath and Herbert K. Matthies and Wolf-Tilo Balke and Lars C. Wolf} } @conference {DBLP:conf/icc/ZhuZFG11, title = {Geo-Assisted Multicast Inter-Domain Routing {(GMIDR)} Protocol for MANETs}, booktitle = {Proceedings of {IEEE} International Conference on Communications, {ICC} 2011, Kyoto, Japan, 5-9 June, 2011}, year = {2011}, pages = {1{\textendash}5}, publisher = {{IEEE}}, organization = {{IEEE}}, doi = {10.1109/icc.2011.5962632}, url = {https://doi.org/10.1109/icc.2011.5962632}, author = {Konglin Zhu and Biao Zhou and Xiaoming Fu and Mario Gerla} } @conference {DBLP:conf/icnp/FuH09, title = {End-to-End Versus Hop-by-Hop Soft State Refresh for Multi-hop Signaling Systems}, booktitle = {Proceedings of the 17th annual {IEEE} International Conference on Network Protocols, 2009. {ICNP} 2009, Princeton, NJ, USA, 13-16 October 2009}, year = {2009}, pages = {171{\textendash}180}, publisher = {{IEEE} Computer Society}, organization = {{IEEE} Computer Society}, doi = {10.1109/ICNP.2009.5339687}, url = {https://doi.org/10.1109/ICNP.2009.5339687}, author = {Xiaoming Fu and Jianhua He}, editor = {Henning Schulzrinne and K. K. Ramakrishnan and Timothy G. Griffin and Srikanth V. Krishnamurthy} } @conference {DBLP:conf/iwcmc/NeumannLFZ09, title = {{I-PMIP:} an inter-domain mobility extension for proxy-mobile {IP}}, booktitle = {Proceedings of the International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, {IWCMC} 2009, Leipzig, Germany, June 21-24, 2009}, year = {2009}, pages = {994{\textendash}999}, publisher = {{ACM}}, organization = {{ACM}}, doi = {10.1145/1582379.1582597}, url = {http://doi.acm.org/10.1145/1582379.1582597}, author = {Niklas Neumann and Jun Lei and Xiaoming Fu and Gong Zhang}, editor = {Mohsen Guizani and Peter M{\"u}ller and Klaus-Peter F{\"a}hnrich and Athanasios V. Vasilakos and Yan Zhang and Jun Zhang} } @conference {DBLP:conf/ipccc/ArumaithuraiGRF09, title = {Pre-congestion notification-based flow management in MPLS-based DiffServ networks}, booktitle = {28th International Performance Computing and Communications Conference, {IPCCC} 2009, 14-16 December 2009, Phoenix, Arizona, {USA}}, year = {2009}, pages = {57{\textendash}64}, publisher = {{IEEE}}, organization = {{IEEE}}, doi = {10.1109/PCCC.2009.5403827}, url = {https://doi.org/10.1109/PCCC.2009.5403827}, author = {Mayutan Arumaithurai and R{\"u}diger Geib and Rene Rex and Xiaoming Fu} } @conference {DBLP:conf/wac/GuFTW05, title = {Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience}, booktitle = {Autonomic Communication, Second International {IFIP} Workshop, {WAC} 2005, Athens, Greece, October 2-5, 2005, Revised Selected Papers}, series = {Lecture Notes in Computer Science}, volume = {3854}, year = {2005}, pages = {186{\textendash}201}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/11687818\_15}, url = {https://doi.org/10.1007/11687818\_15}, author = {Xiaoyuan Gu and Xiaoming Fu and Hannes Tschofenig and Lars C. Wolf}, editor = {Ioannis Stavrakakis and Michael Smirnov} } @conference {DBLP:conf/networking/FuKK02, title = {QoS-Conditionalized Handoff for Mobile IPv6}, booktitle = {{NETWORKING} 2002, Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications, Second International {IFIP-TC6} Networking Conference, Pisa, Italy, May 19-24, 2002, Proceedin}, series = {Lecture Notes in Computer Science}, volume = {2345}, year = {2002}, pages = {721{\textendash}730}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/3-540-47906-6\_58}, url = {https://doi.org/10.1007/3-540-47906-6\_58}, author = {Xiaoming Fu and Holger Karl and Cornelia Kappler}, editor = {Enrico Gregori and Marco Conti and Andrew T. Campbell and Cambyse Guy Omidyar and Moshe Zukerman} }