北京师范大学珠海校区人工智能与未来网络研究院

郭剑雄，男，博士。2015年本科毕业后赴美国留学，毕业于德克萨斯大学达拉斯分校计算机科学系，师从国际著名数学家堵丁柱教授。期间主要从事组合优化、算法博弈论、社交网络等领域的研究。2021年回国后，加入北京师范大学（珠海校区）自然科学高等研究院/人工智能与未来网络研究院任特聘副研究员，并兼任BNU-HKBU联合国际学院理工科技学部/计算机科学与技术系助理教授。在高水平国际会议和期刊上发表论文30余篇，其中以第一作者在ACM/IEEE Transactions系列期刊上发表论文20余篇。并受邀成为多个国际著名期刊的审稿人。

1. 国家自然科学基金青年基金《大规模社交网络驱动的高效非次模影响力优化算法研究》，项目号：62202055，执行期限：2023.1.1-2025.12.31，主持人。

代表论文

Preprint (Under review or has been resived) --------------------------------------------------

Jianxiong Guo and Weili Wu, "Differentially Private Allocation towards Integrating Blockchain and Edge Computing", arXiv preprint arXiv:2101.02834, IEEE Transactions on Dependable and Secure Computing (TDSC), under review, 01/08/2021.
Yapu Zhang, Jianxiong Guo, Wenguo Yang, and Weili Wu, "Supplementary Influence Maximization Problem in Social Networks", IEEE Transactions on Network Science and Engineering (TNSE), under review, 12/10/2020.
Jianxiong Guo, Xingjian Ding, and Weili Wu, "A Double Auction for Charging Scheduling among Vehicles Using DAG-Blockchains", arXiv preprint arXiv:2010.01436, IEEE Transactions on Mobile Computing (TMC), has been revised, 10/03/2020.
Xingjian Ding, Jianxiong Guo, Deying Li, and Weili Wu, "Pricing and Budget Allocation for IoT Blockchain with Edge Computing", arXiv preprint arXiv:2008.09724, IEEE Transactions on Reliability (TR), under review, 08/22/2020.
Tiantian Chen, Jianxiong Guo, and Weili Wu, "Adaptive Multi-Feature Budgeted Profit Maximization in Social Networks", arXiv preprint arXiv: arXiv:2006.03222, IEEE Transactions on Big Data (TBD), has been revised, 06/05/2020.
Jianxiong Guo, Xingjian Ding, and Weili Wu, "An Architecture for Distributed Energies Trading in Byzantine-Based Blockchain", arXiv preprint arXiv:2005.07341, IEEE Transactions on Services Computing (TSC), has been revised, 05/15/2020.
Qiufen Ni, Jianxiong Guo, Weili Wu, and Chuanhe Huang, "Influence-based Community Partition with Sandwich Method for Social Networks", arXiv preprint arXiv:2003.10439, World Wide Web (WWW), under review, 03/23/2020.
Qiufen Ni, Jianxiong Guo, Weili Wu, and Chuanhe Huang, "Continuous Influence-based Community Partitioning for social networks", arXiv preprint arXiv:2002.08554, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), has been revised, 02/20/2020.
Jianxiong Guo and Weili Wu, "A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity", IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), has been revised, 11/13/2019.
2021 -------------------------------------------------------------------------------------------------

Jianxiong Guo, Yapu Zhang, and Weili Wu, "An Overall Evaluation on Benefits of Competitive Influence Diffusion", IEEE Transactions on Big Data (TBD), DOI: 10.1109/TBDATA.2021.3084468, May. 2021.
Xingjian Ding, Jianxiong Guo, Yongcai Wang, Deying Li, and Weili Wu, "Task-driven Charger Placement and Power Allocation for Wireless Sensor Networks", Ad Hoc Networks (ADHOC), vol. 119, pp. 102556, May. 2021.
Jianxiong Guo and Weili Wu, "Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed", ACM Transactions on Knowledge Discovery in Data (TKDD), vol. 15, no. 5, pp. 84:1-84:23, May. 2021.
Jianxiong Guo and Weili Wu, "Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization", IEEE Transactions on Computational Social Systems (TCSS), vol. 8, no. 3, pp. 768-779, Mar. 2021.
Jianxiong Guo, Xingjian Ding, and Weili Wu, "Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks", IEEE Transactions on Reliability (TR), DOI: 10.1109/TR.2020.3046556, Jan. 2021.
2020 -------------------------------------------------------------------------------------------------

Xingjian Ding, Jianxiong Guo, Deying Li, and Weili Wu, "Optimal Wireless Charger Placement with Individual Energy Requirement", Theoretical Computer Science (TCS), vol. 857, pp. 16-28, Dec. 2020.
Conference version: Xingjian Ding, Jianxiong Guo, Deying Li, and Ding-Zhu Du, "Minimum Wireless Charger Placement with Individual Energy Requirement", The 14th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2020), Springer, Cham, pp. 697-710, Dec. 2020.

Yapu Zhang, Jianxiong Guo, Wenguo Yang, and Weili Wu, "Mixed-case Community Detection Problem in Social Networks: Algorithms and Analysis", Theoretical Computer Science (TCS), vol. 854, pp. 94-104, Dec. 2020.
Conference version: Yapu Zhang, Jianxiong Guo, and Wenguo Yang, "Mixed-case Community Detection Problem in Social Networks", The 14th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2020), Springer, Cham, pp. 230-241, Dec. 2020.

Xingjian Ding, Jianxiong Guo, Deying Li, and Weili Wu, "An Incentive Mechanism for Building a Secure Blockchain-based Internet of Things", IEEE Transactions on Network Science and Engineering (TNSE), vol. 8, no. 1, pp. 477-487, Nov. 2020.
Yapu Zhang, Jianxiong Guo, Wenguo Yang, and Weili Wu, "Targeted Activation Probability Maximization Problem in Online Social Networks", IEEE Transactions on Network Science and Engineering (TNSE), vol. 8, no. 1, pp. 294-304, Nov. 2020.
Jianxiong Guo, Tiantian Chen, and Weili Wu, "A Multi-Feature Diffusion Model: Rumor Blocking in Social Networks", IEEE/ACM Transactions on Networking (TON), vol. 29, no. 1, pp. 386-397, Oct. 2020.
Jianxiong Guo and Weili Wu, "Influence Maximization: Seeding Based on Community Structure", ACM Transactions on Knowledge Discovery in Data (TKDD), vol. 14, no. 6, pp. 66:1-66:22, Sep. 2020.
Qiufen Ni, Jianxiong Guo, Weili Wu, and Chuanhe Huang, "Community-Based Rumor Blocking Maximization in Social Networks: Algorithms and Analysis", Theoretical Computer Science (TCS), vol. 840, pp. 257-269, Sep. 2020.
Conference version: Qiufen Ni, Jianxiong Guo, Weili Wu, and Chuanhe Huang, "Community-Based Rumor Blocking Maximization in Social Networks", The 14th International Conference on Algorithmic Aspects in Information and Management (AAIM 2020), Springer, Cham, pp. 73-84, Aug. 2020.

Jianxiong Guo, Xingjian Ding, and Weili Wu, "A Blockchain-Enabled Ecosystem for Distributed Electricity Trading in Smart City", IEEE Internet of Things Journal (IOTJ), vol. 8, no. 3, pp. 2040-2050, Aug. 2020.
Jianxiong Guo and Weili Wu, "Discount Advertisement in Social Platform: Algorithm and Robust Analysis", Social Network Analysis and Mining (SNAM), vol. 10, no. 1, pp. 57:1-57:15, Jul. 2020.
Jianxiong Guo and Weili Wu, "A k-hop Collaborate Game Model: Adaptive Strategy to Maximize Total Revenue", IEEE Transactions on Computational Social Systems (TCSS), vol. 7, no. 4, pp. 1058-1068, Jun. 2020.
Jianxiong Guo, Tiantian Chen, and Weili Wu, "Continuous Activity Maximization in Online Social Networks", IEEE Transactions on Network Science and Engineering (TNSE), vol. 7, no. 4, pp. 2775-2786, May. 2020.
Qiufen Ni, Jianxiong Guo, Weili Wu, and Chuanhe Huang, "Information Coverage Maximization for Multiple Products in Social Networks", Theoretical Computer Science (TCS), vol. 828-829, pp. 32-41, Apr. 2020.
Jianxiong Guo, Tiantian Chen, and Weili Wu, "Budgeted Coupon Advertisement Problem: Algorithm and Robust Analysis", IEEE Transactions on Network Science and Engineering (TNSE), vol. 7, no. 3, pp. 1966-1976, Jan. 2020.
2019 -------------------------------------------------------------------------------------------------

Tiantian Chen, Weijing Liu, Qizhi Fang, Jianxiong Guo, and Ding-Zhu Du, "Minimizing Misinformation Profit in Social Networks", IEEE Transactions on Computational Social Systems (TCSS), vol. 6, no. 6, pp. 1206-1218, Oct. 2019.
Jianxiong Guo, Yi Li, and Weili Wu, "Targeted Protection Maximization in Social Networks", IEEE Transactions on Network Science and Engineering (TNSE), vol. 7, no. 3, pp. 1645-1655, Sep. 2019.
Jianxiong Guo and Weili Wu, "A Novel Scene of Viral Marketing for Complementary Products", IEEE Transactions on Computational Social Systems (TCSS), vol. 6, no. 4, pp. 797-808, Jul. 2019.

Book chapter version: Jianxiong Guo and Weili Wu, "Viral Marketing for Complementary Products", Nonlinear Combinatorial Optimization, Springer, Cham, pp. 309-315, Jun. 2019.

Teaching Assistant (助教), 德克萨斯大学达拉斯分校计算机科学系, 主要课程：算法设计、计算机网络、操作系统、高级编程语言等。
Research Assistant (助研)。
期刊/会议审稿：IEEE Access; Journal of Combinatorial Optimization; Theoretical Computer Science; Computational Social Networks; Information Sciences; IEEE/ACM Transactions on Networking, IEEE Transactions on Network Science and Engineering等。

郭剑雄

个人简介奖励与荣誉科研项目科研成果社会服务硕/博招生