Jing Yuan

Jing Yuan
Assistant Professor
Discovery Park F276
Jing.Yuan@unt.edu
Student Hours:
  • Tue. 9:00 - 10:00 a.m.
  • Fri. 9:00 - 10:00 a.m.
Faculty Profile | Research Profile | Website |
  • Education

    PhD in Computer Science, University of Texas at Dallas
    MS in Computer Science, Nanjing University
    BS in Computer Science, Nanjing University

  • Research

    My research interests lie in the intersection of optimization, social computing and machine learning. The broad goal of my research is to develop algorithmic and data-driven solutions to facilitate decision making under uncertainty for social impact, with a focus on applications in social welfare and equity. My research has been mainly published in machine learning and information management venues, including AAAI, AAMAS, IJCAI, and CIKM.

  • Publications

    Book Chapter

    • Yuan, J., Wu, W., Varanasi, S. (2018). Approximation and Heuristics for Community Detection.
    • Yuan, J., Wu, W., Xu, W. (2018). Approximation for Influence Maximization. Handbook of Approximation Algorithms and Metaheuristics, Second Edition: Contemporary and Emerging Applications, Volume 2, Chapter 36.
    • Li, C., Yuan, J., Du, D. (2018). Social Influence-Based Optimization Problems. Open Problems in Optimization and Data Analysis, Chapter 2.

    Conference Proceeding

    • Tang, S., Yuan, J. (2022). Optimal Sampling Gaps for Adaptive Submodular Maximization. The 36th AAAI Conference on Artificial Intelligence, AAAI 2022.
    • Tang, S., Yuan, J. (2021). Adaptive Cascade Submodular Maximization. The 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021.
    • Tang, S., Yuan, J. (2020). Adaptive Robust Submodular Optimization and Beyond. The 14th International Conference on Algorithmic Aspects in Information and Management, AAIM 2020.
    • Tang, S., Yuan, J., Mookerjee, V. (2020). Optimizing Ad Allocation in Mobile Advertising. The 21st ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, ACM Mobihoc 2020.
    • Yuan, J., Wu, W., Li, Y., Du, D. (2017). Active Friending in Online Social Networks. The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, IEEE/ACM BDCAT 2017.
    • Yuan, J., Tang, S. (2017). Adaptive Discount Allocation in Social Networks. The 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, ACM Mobihoc 2017.
    • Tang, S., Zhou, Y., Han, K., Zhang, Z., Yuan, J., Wu, W. (2017). Networked Stochastic Multi-armed Bandits with Combinatorial Strategies. The 37th IEEE International Conference on Distributed Computing Systems, IEEE ICDCS 2017.
    • Yuan, J., Tang, S. (2017). No Time to Observe: Adaptive Influence Maximization with Partial Feedback. The 26th International Joint Conference on Artificial Intelligence, IJCAI 2017.
    • Tang, S., Yuan, J. (2016). Optimizing Ad Allocation in Social Advertising. The 25th ACM International Conference on Information and Knowledge Management, ACM CIKM 2016.

    Journal Article

    • Tang, S., Yuan, J. (2022). Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost. Operations Research Letters. 50(1), 8-15.
    • Yang, W., Ma, J., Li, Y., Yan, R., Yuan, J., Wu, W., Li, D. (2019). Marginal Gains to Maximize Content Spread in Social Networks. 6(3), 479-490. IEEE Transactions on Computational Social Systems.
    • Yang, W., Yuan, J., Wu, W., Ma, J., Du, D. (2019). Maximizing Activity Profit in Social Networks. 6(1), 117-126. IEEE Transactions on Computational Social Systems.
    • Zhang, Z., Wu, W., Yuan, J., Du, D. (2018). Breach-free Sleep-Wakeup Scheduling for Barrier Coverage with Heterogeneous Wireless Sensors. 26(5), 2404-2413. IEEE/ACM Transactions on Networking.
    • Zhu, J., Zhu, J., Ghosh, S., Wu, W., Yuan, J. (2018). Social Influence Maximization in Hypergraph in Social Networks. 6(4), 801-811. IEEE Transactions on Network Science and Engineering.
    • Tu, J., Wu, L., Yuan, J., Cui, L. (2017). On the Vertex Cover P3 Problem Parameterized by Treewidth. 34(2), 414-425. Journal of Combinatorial Optimization.
    • Yuan, J., He, L., Dragut, E., Meng, W., Yu, C. (2017). Result Merging for Structured Queries on the Deep Web with Active Relevance Weight Estimation. 64, 93-103. Information Systems.