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Conference Publications<\/span><\/h1>\n
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  1. J. Bian, L. Wang, L. Zhang, J. Xu, “FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning,” IEEE International Conference on Machine Learning (ICML<\/strong>), 2026.<\/li>\n
  2. X. Li, W. Zhao, J. Xu, Y. Liu, Z. Lu, “Consistency-Preserving Logit Shaping for Robust Model Stealing Defense with Applications in Wireless Spectrum Security,” The ACM Workshop on Wireless Security and Machine Learning (WiSec-WiseML<\/strong>), 2026.\u00a0<\/span><\/li>\n
  3. W. Zhao, Y. Peng, X. Li, J. Xu, Y. Liu, Z. Lu, “Malicious Forgetting: Backdoor Injection in Active Federated Unlearning and Countermeasure Design,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2026.<\/li>\n
  4. Y. Peng, L. Zhang, J. Xu, “Ripple-Inspired In-Context Learning for Radio Map Estimation,” IEEE International Conference on Communications (ICC<\/strong>), 2026.<\/li>\n
  5. Y. Peng, W. Zhao, Z. Lu, J. Xu, “Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection<\/a>,” AAAI Conference on Artificial Intelligence (AAAI<\/strong>), 2026. (Oral presentation<\/strong><\/span>)<\/span><\/li>\n
  6. J. Bian, L. Wang, L. Zhang, J. Xu, “FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA<\/a>,” AAAI Conference on Artificial Intelligence (AAAI<\/strong>), 2026.<\/span><\/li>\n
  7. L. Wang, J. Bian, L. Zhang, J. Xu, “Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning<\/a>,” Annual Conference on Neural Information Processing Systems (NeurIPS<\/strong>)<\/span>, 2025.<\/li>\n
  8. L. Zhang, B. Chen, J. Bian, L. Wang, J. Xu, “FedEL: Federated Elastic Learning for Heterogeneous Devices<\/a>,”\u00a0Annual Conference on Neural Information Processing Systems (NeurIPS<\/strong>)<\/span>, 2025.<\/li>\n
  9. Y. Peng, J. Xu, “In-Context Radio Map Estimation via Ripple Autoregressive Modeling<\/a>,” Workshop on AI and ML for Next-Generation Wireless Communications and Networking (NeurIPS-AI4NextG<\/strong>), 2025<\/li>\n
  10. J. Bian, L. Wang, L. Zhang, J. Xu, “LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement<\/a>,” International Conference on Computer Vision (ICCV<\/strong>), 2025.<\/li>\n
  11. L. Zhang, M. Li, C. Chen, J. Xu, “IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment<\/a>,”\u00a0CVPR <\/span>Computer Vision for Metaverse Workshop (CVPR-CV4Metaverse<\/strong>), 2025.<\/li>\n
  12. U. Sharma, H. Wei, J. Xu, M. Chen, Y. Liu, “Adaptive Traffic Steering in Open RAN: Integrating Rule-Based Policies with Reinforcement Learning<\/a>,” INFOCOM Workshop on Deep Learning for Wireless Communications, Sensing, and Security (INFOCOM-DeepWireless<\/strong>), 2025.<\/li>\n
  13. L. Wang, J. Bian, L. Zhang, C. Chen, J. Xu, “Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains<\/a>,” Annual Conference on Neural Information Processing Systems (NeurIPS<\/strong>)<\/span>, 2024.<\/li>\n
  14. L. Wang, J. Bian, J. Xu, “<\/span>Adaptive User-Centric Entanglement Routing in Quantum Data Networks<\/span><\/a>,” IEEE International Conference on Distributed Computing Systems (ICDCS<\/strong>), 2024.<\/span><\/li>\n
  15. Y. Huang, Q. Liu, J. Xu, “<\/span>Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2024.<\/span><\/li>\n
  16. W. Zhao, X. Li, S. Zhao, J. Xu, Y. Liu, Z. Lu, “<\/span>Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2024.<\/span><\/li>\n
  17. H. Wang, J. Xu, “Friends to Help: Saving Federated Learning from Client Dropout<\/a>,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP<\/strong>), 2024.<\/li>\n
  18. Y. Peng, J. Bian, J. Xu, “<\/span>FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology<\/span><\/a>,” <\/span>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP<\/strong>), 2024.<\/span><\/li>\n
  19. L. Wang, J. Bian, J. Xu, “<\/span>Federated Learning with Instance-Dependent Noisy Label<\/span><\/a>,” <\/span>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP<\/strong>), 2024.<\/span><\/li>\n
  20. J. Bian, L. Wang, S. Ren, J. Xu, “<\/span>CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers<\/span><\/a>,” The 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy<\/strong>), 2024. (<\/span>Best Paper Nomination<\/span><\/strong><\/span>)<\/span><\/li>\n
  21. Y. Peng, Z. Lu, J. Xu, “Joint Horizontal and Vertical Federated Learning for Multimodal IoT<\/a>,” ACM Workshop on Machine Learning for NextG Networks (MobiCom-<\/strong>MLNextG<\/b>), 2024.<\/li>\n
  22. J. Bian, J. Xu, “<\/span>Mobility-assisted Federated Learning for Vehicular Edge Computing<\/span><\/a>,” The 57th Asilomar Conference on Signals, Systems and Computers (Asilomar<\/strong>), 2023. (<\/span>Invited Paper<\/span>).\u00a0<\/span><\/li>\n
  23. J. Bian, C. Shen, J. Xu, “<\/span>Federated Learning via Indirect Server-Client Communications<\/span><\/a>,”\u00a0 Annual Conference on Information Sciences and Systems (CISS<\/strong>), 2023. (<\/span>Invited Paper<\/span>)<\/span><\/li>\n
  24. Y. Huang, L. Zhang, J. Xu, “<\/span>Adversarial Group Linear Bandits and Its Application to Collaborative Edge Inference<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2023.<\/span><\/li>\n
  25. L. Zhang, J. Xu, “<\/span>E3Pose: Energy-efficient Edge-assisted Multi-camera System for Multi-Human 3D Pose Estimation<\/span><\/a>,” ACM\/IEEE Conference on Internet of Things Design and Implementation (IoTDI<\/strong>), CPS-IoT Week, 2023.\u00a0<\/span><\/li>\n
  26. J. Bian, J. Xu, “<\/span>Client Clustering in Energy-Efficient Clustered Federated Learning in Wireless Networks<\/span><\/a>,” UbiComp\/ISWC’23 Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (UbiComp-CPD<\/strong>), 2023.<\/span><\/li>\n
  27. C. Shen, J. Yang, J. Xu, “<\/span>On Federated Learning with Energy Harvesting Clients<\/span><\/a>“, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP<\/strong>), 2022. (<\/span>Invited Paper<\/span>).<\/span><\/li>\n
  28. L. Zhang, L. Chen, J. Xu, “<\/span>Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning<\/span><\/a>,” ACM The Web Conference (WWW<\/strong>), 2021.\u00a0<\/span><\/li>\n
  29. Y. Bai, L. Chen, L. Zhang, M. Abdel-Mottaleb, J. Xu, “<\/span>Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms<\/span><\/a>,” IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS<\/strong>), 2021<\/span><\/li>\n
  30. Z. Luo, S. Zhao, R. Duan, Z. Lu, Y. E. Sagduyu, J. Xu, “<\/span>Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing<\/span><\/a>,” The ACM Workshop on Wireless Security and Machine Learning (WiSec-WiseML<\/strong>), 2021.\u00a0<\/span><\/li>\n
  31. L. Chen, Z. Lu, P. Zhou, J. Xu, “<\/span>Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2020.\u00a0<\/span><\/li>\n
  32. Z. Luo, S. Zhao, Z. Lu, Y. Sagduyu, J. Xu, “<\/span>Adversarial Machine Learning based Partial-Model Attack in IoT<\/span><\/a>,” The ACM Workshop on Wireless Security and Machine Learning (WiSec-WiseML<\/strong>), 2020.<\/span><\/li>\n
  33. L. Zhang, J. Xu, “<\/span>Fooling Edge Computation Offloading via Stealthy Interference Attack<\/span><\/a>,” Workshop on Edge Computing and Communications (EdgeComm) (SEC-EdgeComm<\/strong>), 2020.<\/span><\/li>\n
  34. Y. Bai, L. Chen, L. Song, J. Xu, \u201c<\/span>Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading<\/span><\/a>,” ACM Workshop on Moving Target Defense (CCS-MTD<\/strong>), 2019.<\/span><\/li>\n
  35. D. Mu, P. Zhou, Q. Li, R. Li, J. Xu, “<\/span>Privacy-Preserving MEC-enabled Contextual Online Learning via SDN for Service Selection in IoT<\/span><\/a>,” IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS<\/strong>), 2019.<\/span><\/li>\n
  36. C. Shi, L. Chen, C. Shen, L. Song, J. Xu, “<\/span>Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning<\/span><\/a>“, IEEE Global Communications Conference (GLOBECOM<\/strong>), 2019.<\/span><\/li>\n
  37. L. Zhang, L. Song, J. Xu, “<\/span>Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users<\/span><\/a>,” IEEE Global Communications Conference (GLOBECOM<\/strong>), 2019.<\/span><\/li>\n
  38. M. Yang, L. Song, J. Xu, C. Li, G. Tan, “<\/span>The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost<\/span><\/a>,” International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (IJCAI-FL<\/strong>), 2019.<\/span><\/li>\n
  39. L. Chen, J. Xu, “<\/span>Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2019.\u00a0<\/span><\/li>\n
  40. L. Chen, J. Xu, Z. Lu, “<\/span>Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward<\/span><\/a>,” Annual Conference on Neural Information Processing Systems (NeurIPS<\/strong>), 2018.\u00a0<\/span><\/li>\n
  41. L. Song, J. Xu, “<\/span>Dynamic Edge Caching with Popularity Drifting<\/span><\/a>,” IEEE Information Theory Workshop (ITW<\/strong>), 2018.\u00a0<\/span><\/li>\n
  42. Z. Liu, L. Jiang, T. Liu, G. Quan, Y. Wang, W. Wen, J. Xu, “<\/span>DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework<\/span><\/a>,” ACM\/IEEE Design Automation Conference (DAC<\/strong>), 2018.\u00a0<\/span><\/li>\n
  43. J. Xu, L. Chen, P. Zhou, “<\/span>Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2018. (Most Popular Paper of INFOCOM, <\/span>June 2019<\/span><\/a>)<\/span><\/li>\n
  44. Y. Hou, P. Zhou, J. Xu, D. Wu, “<\/span>Course Recommendation of MOOC with Big Data Support: A Contextual Online Learning Approach<\/span><\/a>,” IEEE INFOCOM Workshop on Knowledge Centric Networking (INFOCOM-KCN<\/strong>), 2018.\u00a0<\/span><\/li>\n
  45. H. Wu, L. Chen, C. Shen, W. Wen, J. Xu, “<\/span>Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing<\/span><\/a>,” IEEE International Conference on Communications (ICC<\/strong>), 2018.\u00a0<\/span><\/li>\n
  46. S. Naqvi, J. Chakareski, N. Mastronarde, J. Xu, F. Afghah, A. Razi, “<\/span>Energy Efficiency Analysis of UAV-Assisted mmWave HetNets<\/span><\/a>,” IEEE International Conference on Communications (ICC<\/strong>), 2018.<\/span><\/li>\n
  47. L. Chen, J. Xu, S. Zhou, “<\/span>Computation Peer Offloading in Mobile Edge Computing with Energy Budgets<\/span><\/a>,” IEEE Global Communications Conference (GLOBECOM<\/strong>), 2017.<\/span><\/li>\n
  48. A. Zhou, Y. Feng, P. Zhou, J. Xu, “<\/span>Social Intimacy Based IoT Services Mining of Massive Data<\/span><\/a>,” IEEE International Conference on Data Mining Workshop on Data Mining for Services (ICDM-DMS<\/strong>), 2017.<\/span><\/li>\n
  49. L. Chen, J. Xu, “<\/span>Socially Trusted Collaborative Edge Computing in Ultra Dense Networks<\/span><\/a>,” IEEE\/ACM Symposium on Edge Computing (SEC<\/strong>), 2017.\u00a0<\/span><\/li>\n
  50. J. Xu, Y. Sun, L. Chen, S. Zhou, “<\/span>E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing<\/span><\/a>,” IEEE International Conference on Communications (ICC<\/strong>), 2017<\/span><\/li>\n
  51. L. Chen, S. Zhou, J. Xu, “<\/span>Energy Efficient Mobile Edge Computing in Dense Cellular Networks<\/span><\/a>,” IEEE International Conference on Communications (ICC<\/strong>), 2017.<\/span><\/li>\n
  52. J. Xu, Y. Han, D. Marcu, M. van der Schaar, “<\/span>Progressive Prediction of Student Performance in College Programs<\/span><\/a>,” AAAI Conference on Artificial Intelligence (AAAI<\/strong>), 2017.<\/span><\/li>\n
  53. S. Li, J. Xu, M. van der Schaar, and W. Li, “<\/span>Popularity-Driven Content Caching<\/span><\/a>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2016.<\/span><\/li>\n
  54. J. Xu, Q. Cai, C. Shen, “<\/span>DARC: Timely Classification with Randomly Delayed Features<\/span><\/a>,” IEEE Global Communications Conference (GLOBECOM<\/strong>), 2016.<\/span><\/li>\n
  55. J. Xu, S. Ren, “<\/span>Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing<\/span><\/a>,” IEEE Global Communications Conference (GLOBECOM<\/strong>), 2016.<\/span><\/li>\n
  56. J. Xu, T. Xing, M. van der Schaar, “<\/span>Personalized Course Sequence Recommendation<\/span><\/a>,” ICML Workshop on Machine Learning for Digital Education and Assessment Systems (ICML-MLDEAS<\/strong>), 2016.\u00a0<\/span><\/li>\n
  57. J. Xu, “<\/span>Relaxation for Constrained Decentralized Markov Decision Processes<\/span><\/a>,” International Conference on Autonomous Agents and Multiagent Systems (AAMAS<\/strong>), 2016.<\/span><\/li>\n
  58. Y. Meier, J. Xu, O. Atan, and M. van der Schaar, “<\/span>Personalized Grade Prediction: A Data Mining Approach<\/span>,” IEEE International Conference on Data Mining (ICDM<\/strong>), 2015.<\/span><\/li>\n
  59. J. Xu, M. van der Schaar, J. Liu and H. Li, “<\/span>Timely Popularity Forecasting based on Social Networks<\/span>,” IEEE International Conference on Computer Communications (INFOCOM<\/strong>), 2015.<\/span><\/li>\n
  60. J. Xu, D. Sow, D. Turaga and M. van der Schaar, “<\/span>Online Transfer Learning for Differential Diagnosis Determination<\/span>,” AAAI Workshop on the World Wide Web and Public Health Intelligence (AAAI-W3PHI<\/strong>), 2015.<\/span><\/li>\n
  61. J. Xu, D. Deng, U. Demiryurek, C. Shahabi and M. van der Schaar, “<\/span>Context-Aware Online Spatiotemporal Traffic Prediction<\/span>,” ICDM Workshop on Spatial and Spatio-Temporal Data Mining (ICDM-SSTDM<\/strong>), 2015.<\/span><\/li>\n
  62. J. Xu, S. Zhang and M. van der Schaar, “<\/span>Network Evolution with Incomplete Information and Learning<\/span>,” Allerton Conference on Communication, Control and Computing (Allerton<\/strong>), 2014.<\/span><\/li>\n
  63. J. Xu, J. Y. Xu, L. Song, G. Pottie, and M. van der Schaar, “<\/span>Context-Driven Online Learning for Activity Classification in Wireless Health<\/span>,” IEEE Global Communications Conference (GLOBECOM<\/strong>),\u00a0 2014.<\/span><\/li>\n
  64. C. Shen, J. Xu, and M. van der Schaar, “<\/span>Silence is Gold: Strategic Small Cell Interference Management Using Tokens<\/span>,” IEEE Global Communications Conference (GLOBECOM<\/strong>), 2014.<\/span><\/li>\n
  65. J. Xu, Y. Song, and M. van der Schaar, “<\/span>Incentivizing Information Sharing in Networks<\/span>,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP<\/strong>), 2014.<\/span><\/li>\n
  66. J. Xu, Y. Zhang and M. van der Schaar, “<\/span>Rating Systems for Enhanced Cyber-Security Investments<\/span>,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP<\/strong>), 2013.<\/span><\/li>\n
  67. J. Xu, C. Tekin and M. van der Schaar, “<\/span>Learning Optimal Classifier Chains for Real-time Big Data Mining<\/span>,” Allerton Conference on Communication, Control and Computing (Allerton<\/strong>), 2013.<\/span><\/li>\n
  68. N. Mastronarde, V. Patel, J. Xu, and M. van der Schaar, “<\/span>Learning Relaying Strategies in Cellular D2D Networks with Token-Based Incentives<\/span>,” Globecom 2013 Workshop – Emerging Technologies for LTE-Advanced and Beyond-4G (GLOBECOM-B4G<\/strong>), 2023.<\/span><\/li>\n
  69. W. Zame, J. Xu, and M. van der Schaar, “<\/span>Learning Perfect Coordination with Minimal Feedback in Wireless Multi-Access Communications<\/span>,” IEEE Global Communications Conference (GLOBECOM<\/strong>),\u00a0 2013.<\/span><\/li>\n
  70. J. Xu and M. van der Schaar, “<\/span>Incentive Design for Heterogeneous User-Generated Content Networks<\/span>,” SIGMETRICS Workshop on Pricing and Incentives in Networks and Systems (SIGMETRICS-W-PIN+NetEcon<\/strong>), 2013.<\/span><\/li>\n
  71. S. Won and I. Cho and K. Sudusinghe and J. Xu and Y. Zhang, M. van der Schaar and S. S. Bhattacharyya, “<\/span>A Design Methodology for Distributed Adaptive Stream Mining Systems<\/span>,” International Conference on Computational Science (ICCS<\/strong>), 2013.<\/span><\/li>\n
  72. J. Xu and M. van der Schaar, “<\/span>Sustaining Cooperation in Social Exchange Networks with Incomplete Global Information<\/span>,” in IEEE Conference on Decision and Control (CDC<\/strong>) 2012.<\/span><\/li>\n
  73. J. Xu, W. Zame and M. van der Schaar, “<\/span>Token Economy for Online Exchange Systems<\/span>,” International Conference on Autonomous Agents and Multiagent Systems (AAMAS<\/strong>), 2012.<\/span><\/li>\n
  74. J. Xu, W. Zame and M. van der Schaar, “<\/span>Token-based Incentive Protocol Design for Online Exchange Systems<\/span>,” International Conference on Game Theory for Networks (GameNets<\/strong>), 2012.<\/span><\/li>\n
  75. J. Xu, M. van der Schaar, “<\/span>Designing Incentives for Wireless Relay Networks using Tokens<\/span>,” International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt<\/strong>), 2012.<\/span><\/li>\n
  76. J. Xu, Y. Wu, Z. Niu, “<\/span>Exploiting Multiuser Diversity in OFDMA Wireless Mesh Networks by Fractional Spatial Reuse<\/span>,” IEEE International Conference on Communications (ICC<\/strong>), 2010.<\/span><\/li>\n
  77. J. Xu, S. Zhou, Z. Niu, “<\/span>Interference-Aware Relay Selection for Multiple Source-Destination Cooperative Networks<\/span>“, Asia-Pacific Conference on Communications (APCC<\/strong>), 2009. (<\/span>Best Paper Award<\/span><\/strong><\/span>)<\/span><\/li>\n<\/ol>\n<\/div>\n

    Journal Publications<\/span><\/h1>\n
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    1. H. Liu, J. Xue, J. Xu, Y. Liu, Z. Lu, “Hybrid Hierarchical Federated Learning over 5G\/NextG Wireless Networking,” IEEE Transactions on Mobile Computing<\/strong> (accepted), 2026.<\/li>\n
    2. Y. Huang, L. Zhang, J. Xu, “Learning the Optimal Path and DNN Partition for Collaborative Edge Inference<\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 25, no. 2, pp. 1499-1512, 2026.<\/li>\n
    3. J. Bian, C. Shen, M. Chen, J. Xu, “Indirect-Communication Federated Learning via Mobile Transporters<\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 24, no. 6, pp. 4845-4857, 2025.<\/li>\n
    4. Y. Huang, L. Wang, J. Xu, “Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits<\/a>,” IEEE\/ACM Transactions on Networking<\/strong>, vol. 33, no. 2, pp. 583-594, 2025.<\/li>\n
    5. H. Wang, J. Xu, “Online Vertical Federated Learning for Cooperative Spectrum Sensing<\/a>,” IEEE Transactions on Cognitive Communications and Networking<\/strong>, vol. 11, no. 4, pp. 2317-2326, 2025.<\/li>\n
    6. Y. Peng, Y. Wu, J. Bian, J. Xu, “Hybrid Federated Learning for Multimodal IoT Systems<\/a>,” IEEE Internet of Things Journal,<\/strong> vol. 11, no. 21, pp. 34055-34064, Nov 2024.<\/li>\n
    7. J. Bian, L. Wang, K. Yang, C. Shen, J. Xu, “<\/span>Accelerating Hybrid Federated Learning Convergence under Partial Participation<\/span><\/a>,” IEEE Transactions on Signal Processing<\/strong>, vol. 72, pp. 3258-3271, Jun 2024.<\/span><\/li>\n
    8. J. Bian, J. Xu, “<\/span>Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying<\/span><\/a>,” IEEE Transactions on Vehicular Technology<\/strong>, vol. 73, no. 7, pp. 10668-10680, Jul 2024.<\/span><\/li>\n
    9. L. Chen, Y. Bai, P. Zhou, Y. Li, Z. Qu, J. Xu, “<\/span>On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed with Graph Comprehension<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 23, no. 12, pp. 11144-11158, Dec 2024.<\/span><\/li>\n
    10. H. Wang, J. Bian, J. Xu, “<\/span>On the Local Cache Update Rules in Streaming Federated Learning<\/span><\/a>,” IEEE Internet of Things Journal<\/strong>, vol. 11, no. 6, pp. 10808-10816, 202<\/span>4<\/span>.<\/span><\/li>\n
    11. L. Zhang, Z. Lu, L. Song, J. Xu, “<\/span>CrossVision: Real-time On-Camera Video Analysis via Common RoI Load Balancing<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. <\/span>23<\/span>, no. 5, pp. 5027-503<\/span>9,<\/span> May 202<\/span>4<\/span>.<\/span><\/li>\n
    12. J. Xue, Z. Qu, J. Xu, Y. Liu, Z. Lu, “<\/span>Bandwidth Allocation for Federated Learning with Wireless Providers and Cost Constraints<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, <\/span>vol. 23, no. 6<\/span>, pp. 7404-7482, Jun 202<\/span>4<\/span>.<\/span><\/li>\n
    13. Y. Bai, L. Chen, J. Xu, “NeuE: Automated Neural Network Ensembles for Edge Intelligence<\/a>,” IEEE Transactions on Emerging Topics in Computing<\/strong>, vol. 11, no. 2, pp.485-496, 2023.<\/li>\n
    14. Y. Bai, L. Chen, S. Ren, J. Xu, “Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement<\/a>,” IEEE Transactions on Computers<\/strong>, vol. 72, no. 2, pp. 1329-1342, 2023.<\/li>\n
    15. Z. Qu, X. Li, J. Xu, B. Tang, Z. Lu, Y. Liu, “<\/span>On the Convergence of Multi-Server Federated Learning with Overlapping Area<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 12, no. 11, pp. 6647-6662, 202<\/span>3<\/span>.\u00a0<\/span><\/li>\n
    16. Y. Bai, L. Chen, J. Li, J. Wu, P. Zhou, Z. Xu, J. Xu, “<\/span>Multi-Core Federated Learning for Mobile Edge Computing Platforms<\/span><\/a>,” IEEE Internet of Things Journal<\/strong>, vol. 10, no. 7, pp. 5940-5952, 202<\/span>3<\/span>.\u00a0<\/span><\/li>\n
    17. Z. Qu, R. Duan, L. Chen, J. Xu, Z. Lu, Y. Liu, “<\/span>Context-Aware Online Client Selection for Hierarchical Federated Learning<\/span><\/a>,” IEEE Transactions on Parallel and Distributed Systems<\/strong>, vol. 33, no. 12, 2022.<\/span><\/li>\n
    18. B. Lu, J. Yang, J. Xu, S. Ren, “<\/span>Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach<\/span><\/a>,” IEEE Internet of Things Journal<\/strong>, vol. 9, no. 21, pp. 21409-21420, 2022.<\/span><\/li>\n
    19. L. Zhang, J. Xu, “<\/span>Learning the Optimal Partition for Collaborative DNN Training with Privacy Requirements<\/span><\/a>“, IEEE Internet of Things Journal<\/strong>, vol. 9, no. 13, pp. 11168-11178, 202<\/span>2<\/span>.\u00a0<\/span><\/li>\n
    20. Z. Luo, S. Zhao, Z. Lu, J. Xu, Y. Sagduyu, “<\/span>When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 21, no. 5, pp. 1892-1908, 202<\/span>2.<\/span>\u00a0<\/span><\/li>\n
    21. J. Xu, H. Wang, L. Chen, “<\/span>Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks<\/span><\/a>“, IEEE Transactions on Wireless Communications<\/strong>, vol. 21, no. 4, pp. 2534-2546, 202<\/span>2<\/span>.<\/span><\/li>\n
    22. Y. Bai, L. Chen, M. Abdel-Mottaleb, J. Xu, “<\/span>Automated Ensemble for Deep Learning Inference on Edge Computing Platforms<\/span><\/a>,” IEEE Internet of Things Journal<\/strong>, vol. 9, no. 6, <\/span>pp. 4202-4213, <\/span>202<\/span>2<\/span>.<\/span><\/li>\n
    23. Z. Qu, S. Zhao, J. Xu, Z. Lu, Y. Liu, “<\/span>How to Test the Randomness from the Wireless Channel for Security?<\/span><\/a>“, IEEE Transactions on Information Forensics & Security<\/strong>, vol. 16, pp. 3753-3766, 2021.\u00a0<\/span><\/li>\n
    24. L. Chen, J. Xu, “<\/span>Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning<\/span><\/a>,” IEEE Journal on Selected Areas in Communications<\/strong> – Special issue on “Machine Learning for Communication Networks”, vol. 39, no. 1, pp. 251-264, 2021.<\/span><\/li>\n
    25. J. Xu, H. Wang, “<\/span>Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective<\/span><\/a>,” IEEE Transactions on Wireless Communications<\/strong>, vol. 20, no. 2, pp. 1188-1200, 2021.<\/span><\/li>\n
    26. L. Chen, C. Shen, P. Zhou, J. Xu, “<\/span>Collaborative Service Placement for Edge Computing in Dense Small Cell Networks<\/span><\/a>,” IEEE Transactions on Mobile Computing<\/strong>, vol. 20, no. 2, pp. 377-390, 2021.\u00a0<\/span><\/li>\n
    27. S. Maghsudi, A. Lan, J. Xu, M. van der Schaar, “<\/span>Personalized Education in the AI Era: What to Expect Next?<\/span><\/a>“, IEEE Signal Processing Magazine<\/strong>, vol. 38, no. 3, 2021.\u00a0<\/span><\/li>\n
    28. C. Shen, J. Xu, S. Zheng, X. Chen, “<\/span>Resource Rationing for Wireless Federated Learning: Concepts, Benefits, and Challenges<\/span><\/a>,” IEEE Communications Magazine<\/strong>, Data Science and Artificial Intelligence Series, vol. 59, no. 6, 2021.\u00a0<\/span><\/li>\n
    29. L. Chen, L. Song, J. Chakareski, J. Xu, “<\/span>Collaborative Content Placement among Wireless Edge Caching Stations with Time-to-Live Cache<\/span><\/a>,” IEEE Transactions on Multimedia<\/strong>, vol. 22, no. 2, pp. 432-444, 2020.\u00a0<\/span><\/li>\n
    30. P. Zhou, J. Xu, W. Wang, C. Jiang, K. Wang and J. Hu, “<\/span>Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach<\/span><\/a>,” IEEE Transactions on Cognitive Communications and Networking<\/strong>, vol. 6, no. 2, pp. 436-451, 2020.\u00a0<\/span><\/li>\n
    31. Y. Yang, J. Xu, Z. Xu, P. Zhou, T. Qiu, “<\/span>Quantile Context-Aware Social IoT Service Big Data Recommendation with D2D Communication<\/span><\/a>,” IEEE Internet of Things Journal<\/strong>, vol. 7, no. 6, pp. 5533-5548, 2020.\u00a0<\/span><\/li>\n
    32. Y. Bai, L. Chen, L. Song, J. Xu, “<\/span>Risk-Aware Edge Computation Offloading using Bayesian Stackelberg Game<\/span><\/a>,” IEEE Transactions on Network and Service Management<\/strong>, vol. 17, no. 2, pp. 1000-1012, 2020.\u00a0<\/span><\/li>\n
    33. L. Zhang, J. Xu, “<\/span>Differential Security Game in Heterogeneous Device-to-Device Offloading Network under Epidemic Risks<\/span><\/a>“, IEEE Transactions on Network Science and Engineering<\/strong>, vol. 7, no. 3, pp. 1852-1861, 2020.<\/span><\/li>\n
    34. P. Zhou, J. Xu, W. Wang, H. Huang, Y. Hu, D. Wu, S. Ji, “<\/span>Toward Optimal Adaptive Online Shortest Path Routing with Acceleration under Jamming Attack<\/span><\/a>,” IEEE\/ACM Transactions on Networking<\/strong>, vol. 27, no. 5, pp. 1815-1829, 2019.\u00a0<\/span><\/li>\n
    35. L. Chen, J. Xu, “<\/span>Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning<\/span><\/a>,” IEEE Journal on Selected Areas in Communications<\/strong> – Special issue on “Machine Learning in Wireless Communication”, vol. 37, no. 10, pp. 2364-2376, 2019.\u00a0<\/span><\/li>\n
    36. J. Chakareski, S. Naqvi, N. Mastronarde, J. Xu, F. Afghah, A. Razi, “<\/span>An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks<\/span><\/a>,” IEEE Transactions on Green Communications and Networking<\/strong>, vol. 3, no. 1, pp. 37-44, 2019.\u00a0<\/span><\/li>\n
    37. Y. Feng, P. Zhou, J. Xu, S. Ji, D. O. Wu, “<\/span>Video Big Data Retrieval Over Media Cloud: A Context-aware Online Learning Approach<\/span><\/a>,” IEEE Transactions on Multimedia<\/strong>, vol. 21, no. 7, pp. 1762-1777, 2019.<\/span><\/li>\n
    38. P. Zhou, K. Wang, J. Xu, D. O. Wu, “<\/span>Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing<\/span><\/a>,” IEEE Transactions on Multimedia<\/strong>, vol. 21, no. 3, pp. 539-554, 201<\/span>9<\/span>.\u00a0<\/span><\/li>\n
    39. L. Chen, J. Xu, S. Ren, P. Zhou, “<\/span>Spatio-temporal Edge Service Placement: A Bandit Learning Approach<\/span><\/a>,” IEEE Transactions on Wireless Communications<\/strong>, vol. 7, no. 12, pp. 8388-8401, 2018.\u00a0<\/span><\/li>\n
    40. J. Xu, L. Chen, K. Liu, C. Shen, “<\/span>Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication<\/span><\/a>,” IEEE Transactions on Wireless Communications<\/strong>, vol. 17, no. 9, pp. 6053-6066, 2018\u00a0<\/span><\/li>\n
    41. L. Chen, S. Zhou, J. Xu, “<\/span>Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks<\/span><\/a>,” IEEE\/ACM Transactions on Networking<\/strong>, vol. 26, no. 4, pp. 1619-1632, 2018.\u00a0<\/span><\/li>\n
    42. L. Chen, P. Zhou, L. Gao, J. Xu, “<\/span>Adaptive Fog Configuration for the Industrial Internet of Things<\/span><\/a>,” IEEE Transactions on Industrial Informatics<\/strong> – Special section on “Fog Computing for Industrial Applications”, vol. 14, no. 10, pp. 4656-4664, 2018.\u00a0<\/span><\/li>\n
    43. Y. Sun, S. Zhou, J. Xu, “<\/span>EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks<\/span><\/a>“, IEEE J. Sel. Areas Commun.<\/strong> – Special issue on “Emerging Technologies in Software-Driven Communication”, vol. 35, no. 11, pp. 2637-2646, 2017.\u00a0<\/span><\/li>\n
    44. J. Xu, L. Chen, S. Ren, “<\/span>Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing<\/span><\/a>,” IEEE Trans. Cognitive Communications and Networking<\/strong>, vol. 3, no. 3, pp. 361-373, 2017.\u00a0<\/span><\/li>\n
    45. J. Xu, K.-H. Moon and M. van der Schaar, “<\/span>A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong> – Special issue on “Signal Processing and Machine Learning for Education and Human Learning at Scale”, vol. 11, no. 5, pp. 742-753, 2017.\u00a0<\/span><\/li>\n
    46. S. Li, J. Xu, M. van der Schaar and W. Li, “<\/span>Trend-Aware Video Caching through Online Learning<\/span><\/a>,” IEEE Trans. Multimedia<\/strong>, vol. 18, no. 12, pp. 2503-2516, 2016.<\/span><\/li>\n
    47. J. Xu, T. Xing and M. van der Schaar, “<\/span>Personalized Course Sequence Recommendation<\/span><\/a>,” IEEE Trans. Signal Process.<\/strong>, vol. 64, no. 20, pp. 5340-5352, 2016.<\/span><\/li>\n
    48. J. Xu, L. Song, J. Y. Xu, G. Pottie and M. van der Schaar, “<\/span>Personalized Active Learning for Activity Classification using Wireless Wearable Sensors<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong>, vol. 10, no. 5, pp. 865-876, 2016.<\/span><\/li>\n
    49. Z. Yuan, J. Xu, Y. Xue and M. van der Schaar, “<\/span>Bits Learning: User-adjustable Privacy versus Accuracy in Internet Traffic Classification<\/span><\/a>“,\u00a0 IEEE Communications Letters<\/strong>, vol. 20, no. 4, pp. 704-707, 2016.<\/span><\/li>\n
    50. Y. Meier, J. Xu, O. Atan, M. van der Schaar, “<\/span>Predicting Grades<\/span><\/a>,” IEEE Trans. Signal Process.<\/strong>, vol. 64, no. 4, pp. 959-972, 2016.\u00a0<\/span><\/li>\n
    51. N. Mastronarde, V. Patel, J. Xu, M. van der Schaar, and L. Liu, “<\/span>To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks<\/span><\/a>,”\u00a0 IEEE Trans. Mobile Computing<\/strong>, vol. 15, no. 6, pp. 1569-1585, 2016.\u00a0<\/span><\/li>\n
    52. L. Song, W. Hsu, J. Xu and M. van der Schaar, “<\/span>Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening<\/span><\/a>,” IEEE Journal of Biomedical and Health Informatics<\/strong>, vol. 20, no. 3, pp. 902-914, May. 2016.<\/span><\/li>\n
    53. J. Xu and M. van der Schaar, “<\/span>Incentive-Compatible Demand-Side Management for Smart Grids based on Review Strategies<\/span><\/a>,” EURASIP Journal on Advances in Signal Processing<\/strong>, vol. 51, Jun. 2015.<\/span><\/li>\n
    54. M. Wolf, M. van der Schaar, H. Kim and J. Xu, “<\/span>Caring Analytics for Adults with Special Needs<\/span><\/a>,” IEEE Design & Test<\/strong> – Special issue on “Cyber-Physical systems for Medical Applications”, vol. 32, no. 5, pp. 35-44, Oct. 2015.<\/span><\/li>\n
    55. C. Shen, J. Xu and M. van der Schaar, “<\/span>Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks<\/span><\/a>,” IEEE J. Sel. Areas Commun.<\/strong> – Special issue on “Heterogenous Communication Networks”, vol. 33, no. 6, pp. 1097-1111, March. 2015.<\/span><\/li>\n
    56. J. Xu, D. Deng, U. Demiryurek, C. Shahabi and M. van der Schaar, “<\/span>Mining the Situation: Spatiotemporal Traffic Prediction with Big Data<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong> – Special issue on “Signal Processing for Big Data”, vol. 9, no. 4, pp. 716-727, Jun. 2015. (JSTSP Popular Article)<\/span><\/li>\n
    57. J. Xu, C. Tekin and M. van der Schaar, “<\/span>Distributed Multi-Agent Online Learning Based on Global Feedback<\/span><\/a>,” IEEE Trans. Signal Process.<\/strong>, vol. 63, no. 9, pp. 2225-2238, May. 2015.<\/span><\/li>\n
    58. J. Xu and M. van der Schaar, “<\/span>Efficient Working and Shirking in Information Sharing Networks<\/span><\/a>,” IEEE J. Sel. Areas Commun.<\/strong> – Bonus Issue for Emerging Technologies, vol. 33, no. 4, pp. 651-662, Jan. 2015.<\/span><\/li>\n
    59. J. Xu, M. van der Schaar, J. Liu and H. Li, “<\/span>Forecasting Popularity of Videos using Social Media<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong> – Special issue on “Situational Awareness from Networked Sensors and Social Media”, vol. 9, no. 2, pp. 330-343, Nov. 2014.\u00a0<\/span><\/li>\n
    60. J. Xu, Y. Song, and M. van der Schaar, “<\/span>Sharing in Networks of Strategic Agents<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong> – Special issue on “Signal Processing for Social Networks”, vol. 8, no. 4, pp. 717-731, Apr. 2014.<\/span><\/li>\n
    61. J. Xu, Y. Andreopoulos, Y. Xiao and M. van der Schaar, “<\/span>Non-stationary Resource Allocation Policies for Delay-constrained Video Streaming: Application to Video over Internet-of-Things-enabled Networks<\/span><\/a>,” IEEE J. Sel. Areas Commun.<\/strong> – Special issue on “Adaptive Media Streaming”, vol. 32, no. 4, pp. 782-794, Apr. 2014.<\/span><\/li>\n
    62. J. Xu (with M. van der Schaar and W. Zame), “<\/span>Efficient Online Exchange via Fiat Money<\/span><\/a>,” Economic Theory<\/strong>, vol. 54, no. 2, pp. 211-248, Oct. 2013.<\/span><\/li>\n
    63. J. Xu and M. van der Schaar, “<\/span>Token System Design for Autonomic Wireless Relay Networks<\/span><\/a>,” IEEE Trans. Commun.<\/strong>, vol. 61, no. 7, pp. 2924-2935, 2013.<\/span><\/li>\n
    64. W. Zame, J. Xu and M. van der Schaar, “<\/span>Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks<\/span><\/a>,” IEEE J. Sel. Areas Commun.<\/strong> – Special issue on “Cognitive Radio Series”, vol. 32, no. 3, pp. 464-477, Dec. 2013.<\/span><\/li>\n
    65. W. Zame, J. Xu and M. van der Schaar, “<\/span>Winning the Lottery: Learning Perfect Coordination with Minimal Feedback<\/span><\/a>,” IEEE J. Sel. Topics Signal Process.<\/strong> – Special issue on “Learning-Based Decision Making in Dynamic Systems under Uncertainty”, vol. 7, no. 5, pp. 846-857, April 2013.<\/span><\/li>\n
    66. S. Zhou, J. Xu and Z. Niu, “<\/span>Interference-Aware Relay Selection Scheme for Two-Hop Relay Networks with Multiple Source-Destination Pairs<\/span><\/a>,” IEEE Trans. Vehi. Tech.<\/strong>, vol. 62, no. 5, pp. 2327-2338, Jan. 2013.<\/span><\/li>\n
    67. J. Xu and M. van der Schaar, “<\/span>Social Norm Design for Information Exchange Systems with Limited Observations<\/span><\/a>,” IEEE J. Sel. Areas Commun.<\/strong> – Special issue on “Economics of Communication Networks and Systems”, vol. 30, no. 11, pp. 2126-2135, Dec. 2012.<\/span><\/li>\n<\/ol>\n<\/div>\n
      \n

      Book Chapters<\/span><\/h1>\n<\/div>\n
        \n
      1. M. van der Schaar, J. Xu, S. Zhang, C. Tekin, “<\/span>Marketing and advertising, trend prediction, recommendation systems, and crowdsourcing<\/span><\/a>“, Cooperative and Graph Signal Processing: Principles and Applications, Eds. P. Djuric and C. Richard, Elsevier, 2018.<\/span><\/li>\n
      2. J. Xu, L. Chen, “<\/span>Security-aware incentives design for mobile device-to-device offloading<\/span><\/a>,” Proactive and Dynamic Network Defense, Eds. C. Wang and Z. Lu, Springer, 2019.\u00a0<\/span><\/li>\n
      3. J. Xu, K. Sudusinghe, M. van der Schaar, S. Bhattacharyya, “<\/span>Adaptive Data Stream Mining (DSM) Systems<\/span><\/a>,” Handbook of Dynamic Data Driven Application Systems, vol. 2, pp. 705-722, Springer, 2023.<\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

        Conference Publications J. Bian, L. Wang, L. Zhang, J. Xu, “FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning,” IEEE International Conference on Machine Learning (ICML), 2026. X. Li, W. Zhao, J. Xu, Y. Liu, Z. Lu, “Consistency-Preserving Logit Shaping for Robust Model Stealing Defense with Applications in Wireless Spectrum Security,” The ACM Workshop […]<\/p>\n","protected":false},"author":1385,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page-sidebar-none.php","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-35","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/pages\/35","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/users\/1385"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/comments?post=35"}],"version-history":[{"count":9,"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/pages\/35\/revisions"}],"predecessor-version":[{"id":437,"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/pages\/35\/revisions\/437"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/jiexu\/wp-json\/wp\/v2\/media?parent=35"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}