{"id":587,"date":"2026-01-26T05:04:18","date_gmt":"2026-01-26T05:04:18","guid":{"rendered":"https:\/\/prod-pitchfork.fsewp.asu.edu\/futureg\/?page_id=587"},"modified":"2026-09-18T21:08:26","modified_gmt":"2026-09-18T21:08:26","slug":"publications","status":"publish","type":"page","link":"https:\/\/prod-pitchfork.fsewp.asu.edu\/futureg\/publications\/","title":{"rendered":"Publication"},"content":{"rendered":"
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Publications<\/h1>\n\n\n\n
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  1. Y. Zhang, J. Li, Y. Wang, D. Han, Y. Zhang, A. Shekhawat, and G. Trichopoulos, “RIS-CLA: Reviving CSI-based continuous location authentication with reconfigurable intelligent surfaces,” IEEE Symposium on Security and Privacy<\/em>, San Francisco, CA, May 2026. <\/li>\n\n\n\n
  2. J. Li, Y. Zhang, D. Han, A. Li, T. Li, and Y. Zhang, “TagStroke: Stealthy keystroke inference via passive RFID arrays beneath keyboards,” IEEE International Conference on Computer Communications<\/em> <\/em><\/em>(INFOCOM), Tokyo, Japan, May 2026.<\/li>\n\n\n\n
  3. T. Ornee, A. Ghosh, and N. Shroff, \u201cOnline wireless scheduling for throughput maximization under unknown channel statistics,\u201d IEEE International Conference on Computer Communications<\/em> <\/em>(INFOCOM), Tokyo, Japan, May 2026.<\/li>\n\n\n\n
  4. Q. Wei, R. Yu, X. Wang, D. Yang, and G. Xue, \u201cShardTree: An efficient cross-shard protocol via multi-party virtual payment channel\u201d, IEEE International Conference on Computer Communications<\/em> (INFOCOM), Tokyo, Japan, May 2026. <\/li>\n\n\n\n
  5. L. Cao, M. Shi, and N. Shroff, \u201cProvably efficient multi-objective bandit algorithms under preference-centric customization,\u201d Annual AAAI Conference on Artificial Intelligence<\/em> (AAAI), Singapore, January 2026.<\/li>\n\n\n\n
  6. Y. Fu, A. Chiriyath, A. Herschfelt, and D. Bliss, \u201cSubscription-based integrated 5G\u2013radar tracking system with dynamic resource management using reinforcement learning,\u201d IEEE Consumer Communications & Networking Conference<\/em> (CCNC), Las Vegas, NV, USA, January 2026.<\/li>\n\n\n\n
  7. Z. Zhang, X. Lin, G. Xue, Y. Zhang, and K. Chan, \u201cMulti-Hop relay-aided task offloading for tactical edge computing,\u201d IEEE Military Communications Conference <\/em>(MILCOM)<\/em>, Los Angeles, CA, USA, October 2025.<\/li>\n\n\n\n
  8. X. Lin, Z. Zhang, Z. Zhang, and G. Xue, \u201cDynamic flow routing and scheduling for time-critical network services,” IEEE Military Communications Conference <\/em>(MILCOM), Los Angeles, CA, USA, October 2025. <\/li>\n\n\n\n
  9. C. Li, P. Ju, A. Eryilmaz, and N. Shroff, \u201cTwo levels are all you need: Simplifying data compression for timely edge classification,\u201d ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing<\/em><\/em> (MobiHoc), Houston, TX, USA, October 2025.<\/li>\n\n\n\n
  10. M. Abd-Elmagid, M. Shi, E. Ekici, and N. Shroff, \u201cOnline learning for optimizing AoI\u2013energy tradeoff under unknown channel statistics,\u201d ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing<\/em> (MobiHoc), Houston, TX, USA, October 2025. <\/li>\n\n\n\n
  11. K. Alemdar, A. Ghosh, V. Chaudhary, N. Shroff, K. Chowdhury, \u201cREMARKABLE: RIS-enabled mobile beamforming through kernelized bandit learning,\u201d ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing<\/em> <\/em>(MobiHoc), Houston, TX, USA, October 2025. <\/li>\n\n\n\n
  12. Y. Liang, Y. Liang, L. Lai, and N. Shroff, \u201cDiscrete diffusion models: novel analysis and new sampler guarantees\u201c, Conference and Workshop on Neural Information Processing Systems <\/em>(NeurIPS)<\/em>, Mexico City, Mexico, November 2025.<\/li>\n\n\n\n
  13. A. Eastman and A. Papandreou-Suppappola, \u201cAction selection methods to explore spectrum sharing environments using double Q-learning-while-tracking,\u201d Asilomar Conference on Signals, Systems, and Computers<\/em><\/em>, Pacific Grove, CA, USA, October 2025. <\/li>\n\n\n\n
  14. A. Eastman, Y. Seo and A. Papandreou-Suppappola, \u201cDynamic adaptive inference with reinforcement learning in time-varying future generation sensing environments,\u201d Asilomar Conference on Signals, Systems, and Computers<\/em><\/em>, Pacific Grove, CA, USA, October 2025. <\/li>\n\n\n\n
  15. Y. Xiong, C. Chakrabarti and A. Alkhateeb, “Low-cost and scalable zone-specific CSI feedback in FutureG Networks,” Asilomar Conference on Signals, Systems, and Computers<\/em><\/em><\/em>, Pacific Grove, CA, USA, October 2025.<\/li>\n\n\n\n
  16. Y. Seo, L.  Kaplan and A. Papandreou-Suppappola, \u201cTracking multiple objects with dynamic dependencies and merged measurements,\u201dAsilomar Conference on Signals, Systems, and Computers<\/em><\/em>, Pacific Grove, CA, USA, October 2025.<\/li>\n\n\n\n
  17. P. Zhang, C. Chakrabarti, and A. Papandreou-Suppappola, \u201cFeature-based learning for computationally-efficient estimation in high frequency time-varying spectrum-sharing environments,\u201d Asilomar Conference on Signals, Systems, and Computers<\/em><\/em>, Pacific Grove, CA, USA, October 2025.<\/li>\n\n\n\n
  18. A. Almeajel, Y. Zhang, T. Li, and Y. Zhang, \u201cmmRhythm: secure and usable user authentication for IoT devices based on hand-tapping patterns,\u201d IEEE Miliary Communications Conference<\/em> (MILCOM), Los Angeles, CA, October 2025.<\/li>\n\n\n\n
  19. Y. Xiong, C. Chakrabarti and A. Alkhateeb, “Low-cost and Scalable Zone-specific CSE Feedback in FutureG Networks,” Asilomar Conference on Signals, Systems, and Computers<\/em>, Pacific Grove, CA, USA, October 2025.<\/li>\n\n\n\n
  20. A. Akinwale, W. Gao, J. Li, A. Li, X. Shang, Y. Zhang, and D. Han, \u201cPractical reflection manipulation on mmWave-based physical intrusion detection,\u201d IEEE Conference on Communications and Network Security<\/em> (CNS), Avignon, France, September 2025.<\/li>\n\n\n\n
  21. J. Li, “AI-Based RFID System Security and Privacy: Challenges and Solutions,” Ph.D. dissertation, Arizona State University, August 2025.<\/li>\n\n\n\n
  22. X. Chen, J. Li, D. Fan, and C. Chakrabarti, “HeteroSFL: Split federated learning with heterogeneous clients and non-IID data,” IEEE Internet of Things Journal<\/em>, Vol. 12, Issue 15, August 2025.<\/li>\n\n\n\n
  23. Z. Zhao, Q. Chen, J. Li, D. Fan, and C. Chakrabarti, “TEE-SFL: Time and energy-efficient solution for addressing communication heterogeneity in split federated learning schemes,” International Symposium on Low Power Electronic System and Design<\/em> (ISLPED), Reykjav\u00edk, Iceland, August 2025.<\/li>\n\n\n\n
  24. A. Roknilamouki, A. Ghosh, Mi. Shi, F. Nourzad, E. Ekici, and N. Shroff, \u201cProvably efficient RL for linear MDPs under instantaneous safety constraints in non-convex feature spaces,\u201d International Conference on Machine Learning<\/em> (ICML), Vancouver, Canada, July 2025.<\/li>\n\n\n\n
  25. Y. Zheng, S. Seeam, Y. Hu, R. Zhang, and Y. Zhang, \u201cLocally differentially private frequency estimation via joint randomized response,\u201d Privacy Enhancing Technologies Symposium<\/em> (PETS), Washington, DC, July 2025.<\/li>\n\n\n\n
  26. Z. Bi, A. Singha, H. Xue, T. Li, Y. Chen, and Y. Zhang, \u201cPhysical backdoor attacks against mmWave-based human activity recognition,\u201d IEEE International Conference on Distributed Computing Systems<\/em> (ICDCS), Glasgow, Scotland, UK, July 2025.<\/li>\n\n\n\n
  27. X. Wang, R. Yu, D. Yang, G. Xue, Q. Wei, H. Gu, and Z. Li, \u201cSpace booking: enabling performance-critical applications in broadband satellite networks\u201d, IEEE International Conference on Distributed Computing Systems<\/em> (ICDCS), Glasgow, UK, July 2025. <\/li>\n\n\n\n
  28. S. Doly, “Adaptive Waveform Co-Design for Integrated Sensing and Communications (ISAC),” Ph.D. dissertation, Arizona State University, July 2025.<\/li>\n\n\n\n
  29. Z. Luo, J. Liu, M. Lee, and N. Shroff, “Prediction-assisted online distributed deep learning workload scheduling in GPU clusters,\u201d IEEE International Conference on Computer Communications<\/em> (INFOCOM), London, UK, May 2025. <\/li>\n\n\n\n
  30. Y. Zhang, T. Li, and Y. Zhang, “GNN-SML: Graph neural network-based spectrum misuser localization,\u201d IEEE International Conference on Computer Communications<\/em> (INFOCOM)<\/em>, London, UK, May 2025.<\/li>\n\n\n\n
  31. P. Zhang, “Feature Based Learning for Computation-Efficient Estimation in High Frequency Time-varying Spectrum Sharing Environments,” M.S. thesis, Arizona State University, May 2025. <\/li>\n\n\n\n
  32. Y. Liang, P. Ju, Y. Liang, and N. Shroff, \u201cBroadening target distributions for accelerated diffusion models via a novel analysis approach,\u201d International Conference on Learning Representations<\/em><\/em> (ICLR)<\/em>, Singapore, April 2025.<\/li>\n\n\n\n
  33. H. Li, S. Lin, L. Duan, Y. Liang, and N. Shroff, \u201cTheory of mixture-of-experts in continual learning,\u201d International Conference on Learning Representations<\/em><\/em> (ICLR)<\/em> (spotlight publication<\/strong>), Singapore, April 2025. <\/li>\n\n\n\n
  34. Y. Li, P. Ju, and N. Shroff, \u201cHow to find the exact Pareto front for multi-objective MDPs?\u201d International Conference on Learning Representations<\/em><\/em> (ICLR)<\/em>, Singapore, April 2025. <\/li>\n\n\n\n
  35. L. Gold, F. Laursen, K. Pandya, K. Powell, and R. LiKamWa, “Common ground: Establishing group awareness for cross-virtuality collaborative geospatial analysis,” IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops <\/em>(VRW), Saint Malo, France, March 2025. <\/li>\n\n\n\n
  36. M. Zhang, Z. Zheng, and N. Shroff, \u201cArtificial intelligence of things: A survey,\u201d ACM Transactions on Sensor Networks<\/em>, vol. 21, no. 1, January 2025.<\/li>\n\n\n\n
  37. Y. Fu, A. Chiriyath, and D. Bliss, \u201cSubscription-based joint 5G\u2013radar system design and analysis,\u201d Asilomar Conference on Signals, Systems, and Computers<\/em>, Pacific Grove, CA, USA, October 2024.<\/li>\n\n\n\n
  38. Y. Seo, B. Moraffah, and A. Papandreaou-Suppappola, “Multiple target tracking in unknown and time-varying measurement noise intensity,” Asilomar Conference on Signals, Systems, and Computers<\/em>, Pacific Grove, CA, USA, October 2024. <\/li>\n\n\n\n
  39. A Eastman and A. Papandreou-Suppappola, “Sequential reinforcement learning-based waveform adaptation for dynamic decision-making in tracking,\u201d Asilomar Conference on Signals, Systems, and Computers<\/em>, Pacific Grove, CA, USA, October 2024. <\/li>\n\n\n\n
  40. M. Shi, Y. Liang, and N. Shroff, “Designing near-optimal partially observable reinforcement learning,\u201d IEEE Military Communications Conference <\/em><\/em>(MILCOM), Washington, DC, USA, October 2024.<\/li>\n\n\n\n
  41. X. Lin, Z. Zhang, Y. Wang, E. Teo, G. Xue, and Y. Zhang, \u201cMost vulnerable attack trace in a probabilistic attack graph,\u201d IEEE Military Communications Conference <\/em><\/em>(MILCOM), Washington, DC, October 2024.<\/li>\n\n\n\n
  42. Z. Zhang, X. Lin, G. Xue, Y. Zhang, and K. Chan, \u201cJoint optimization of task offloadingand resource allocation in tactical edge networks,\u201d IEEE Military Communications Conference <\/em>(MILCOM), Washington, DC, October 2024.<\/li>\n\n\n\n
  43. X. Wang, R. Yu, D. Yang, and G. Xue, \u201cInfiltrating the sky: data delay and overflow attacks in earth observation constellations\u201d, IEEE International Conference on Network Protocols<\/em> (ICNP), Charleroi, Belgium, October 2024.<\/li>\n\n\n\n
  44. Y. Zhang, J. Li, D. Han, and Y. Zhang, \u201cW-MIA: Membership inference attack against deep learning-based RF fingerprinting,\u201d IEEE Conference on Communications and Network Security<\/em> (CNS), Taipei, Taiwan, September 2024.<\/li>\n\n\n\n
  45. D. Han, A. Li, J. Li, Y. Zhang, T. Li, and Y. Zhang, \u201cWaveKey: Secure mobile ad hoc access to RFID-protected systems,\u201d IEEE International Conference on Distributed Computing Systems<\/em> (ICDCS), Jersey City, New Jersey, USA, July 2024.<\/li>\n\n\n\n
  46. A. Ghosh, X. Zhou, and N. Shroff, “Towards achieving sub-linear regret and hard constraint violation in model-free reinforcement learning,\u201d International Conference on Artificial Intelligence and Statistics <\/em>(AISTATS), Valencia, Spain, May 2024. <\/li>\n\n\n\n
  47. P. Ju, A. Ghosh, and N. Shroff, “Achieving fairness in multi-agent MDP using reinforcement learning,\u201d International Conference on Learning Representations<\/em><\/em> (ICLR),<\/em> Vienna, Austria, May 2024.<\/li>\n\n\n\n
  48. Y. Li, P. Ju, and N. Shroff, “Achieving sample and computational efficient reinforcement learning by action space reduction via grouping,” International Conference on Learning Representations<\/em> (ICLR), Vienna, Austria, May 2024.<\/li>\n\n\n\n
  49. A. Singha, Z. Bi, T. Li, Y. Chen, and Y. Zhang, \u201cSecuring contrastive mmWave-based human activity recognition against adversarial label flipping,\u201d ACM Conference on Security and Privacy in Wireless and Mobile Networks<\/em> (WiSec), Seoul, Korea, May 2024.<\/li>\n\n\n\n
  50. J. Wen, L. Gold, Q. Ma, and R. LiKamWa, “Augmented coach: Volumetric motion annotation and visualization for immersive sports coaching,\u201d IEEE Conference on Virtual Reality and 3D User Interfaces <\/em>(VR), Orlando, FL, USA, March 2024.<\/li>\n\n\n\n
  51. S. Doly, G. Gubash, M. Heino, A. Chiriyath, and D. Bliss, \u201cReal-time FMCW radar system for waveform optimization using SDRs,\u201d GNU Radio Conference<\/em>, Knoxville, TN, USA, September 2024.<\/li>\n\n\n\n
  52. S. Doly, A. Chiriyath, A. Herschfelt, M. Azam, S. Ragi, and D. Bliss, “Decentralized waveform co-design for integrated sensing and communications systems via approximate dynamic programming,” IEEE Consumer Communications & Networking Conference <\/em>(CCNC), Los Vegas, NV, USA, January 2024. <\/li>\n\n\n\n
  53. A. Eastman, “Reinforcement Learning-Based Waveform Design under Time-Varying Weather Conditions,” M.S. thesis, Arizona State University, December 2023. <\/li>\n\n\n\n
  54. S. Lin, D. Sow, K. Ji, Y. Liang, and N. Shroff, “Non-convex bilevel optimization with time-varying objective functions,\u201d Conference and Workshop on Neural Information Processing Systems <\/em>(NeurIPS), New Orleans, LA, USA, December 2023.<\/li>\n\n\n\n
  55. S. Doly, A. Chiriyath, W. Standage-Beier, and D. Bliss, “GNU radio realization of waveform co-design for joint radar\u2013communications system using SDRs,\u201d GNU Radio Conference<\/em>, Tempe, AZ, USA, September 2023. <\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":133,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-587","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nPublication - DOD Center of Excellence in Future Generation Wireless Technology (FutureG)<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/prod-pitchfork.fsewp.asu.edu\/futureg\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publication - 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