ZHANG, Jun
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Publications by year

Books/Book Chapters

  1. A. Ghosh, J. Zhang, J. G. Andrews, and R. Muhamed, Fundamentals of LTE, Prentice-Hall, 2010.

  2. X. Yu, C. Li, J. Zhang, and K. B. Letaief, Stochastic Geometry Analysis of Multi-Antenna Wireless Networks, Springer, 2019. [Book Website]

  3. Y. Shi, J. Dong, and J. Zhang, Low-overhead Communications in IoT Networks – Structured Signal Processing Approaches, Springer, 2020. [Book Website] [Simulation Codes]

  4. X. Lin, J. Zhang, Y. Liu, and J. Kim, Eds. Fundamentals of 6G Communications and Networking, Springer Cham, 2024. [Book Website]

  5. Y. Zhou, Y. Zou, Y. Wu, Y. Shi, and J. Zhang, Machine Learning for Low-Latency Communications, Academic Press, 2024. [Book Website]

  6. Y. Shi, J. Zhang, K. B. Letaief, B. Bai and W. Chen, “Large-Scale Convex Optimization for C-RANs,” in Cloud Radio Access Networks: Principles, Technologies, and Applications, Cambridge University Press, 2017.

  7. Z. Li, J. Shao, Y. Mao, J.H. Wang, J. Zhang, “Federated Learning with GAN-Based Data Synthesis for Non-IID Clients,” in Lecture Notes in Computer Science, vol 13448. Springer. [Chapter]

  8. X. Bian, Y. Mao, and J. Zhang, “Grant-Free Massive Random Access: Joint Activity Detection, Channel Estimation, and Data Decoding,” in Next Generation Multiple Access, Wiley-IEEE Press, 2024.

Submitted, Preprint

  1. W. Sun, S. Chen, F. Liu, Z. Chen, Y. Duan, J. Zhang, and Y. Wang, “DimensionX: Create any 3D and 4D scenes from a single image with controllable video diffusion,” preprint. [Paper] [Code] [Project Page]

  2. Y. Huang, Z. Wang, R. Gong, J. Liu, X. Zhang, J. Guo, X. Liu, and J. Zhang, “HarmoniCa: Harmonizing training and inference for better feature cache in diffusion transformer acceleration,” preprint. [Paper]

  3. X. Zhang, Z. Liu, Y. Zhang, X. Ge, D. He, T. Xu, Y. Wang, Z. Lin, S. Yan, and J. Zhang, “MEGA: Memory-efficient 4D Gaussian splatting for dynamic scenes,” preprint. [Paper]

  4. H. Chen, Z. Lin, and J. Zhang, “GI-GS: Global illumination decomposition on Gaussian splatting for inverse rendering,” preprint. [Paper] [Project Page]

  5. Y. Hu, Z. Liu, J. Shao, Z. Lin, and J. Zhang, “EVA-Gaussian: 3D Gaussian-based real-time human novel view synthesis under diverse camera settings,” preprint. [Paper] [Project Page]

  6. J. Tong, J. Shao, Q. Wu, W. Guo, Z. Li, Z. Lin, and J. Zhang, “WirelessAgent: Large language model agents for intelligent wireless networks,” submitted. [Paper]

  7. F. Liu*, W. Sun*, H. Wang*, Y. Wang, H. Chen, J. Ye, J. Zhang, and Y. Duan, “ReconX: Reconstruct any scene from sparse views with video diffusion model,” preprint. (* equal contribution) [Paper] [Code] [Project Page]

  8. Y. Sun, Y. Xie, B. Ding, Y. Li, and J. Zhang, “Exploring selective layer fine-tuning in federated learning,” submitted. [Paper]

  9. Z. Li, Q. Guo, J. Shao, L. Song, J. Bian, J. Zhang, and R. Wang, “Graph neural network enhanced retrieval for question answering of LLMs,” submitted. [Paper]

  10. X. Wang, Y. Sun, H.-T. Wai, and J. Zhang, “Dual-delayed asynchronous SGD for arbitrarily heterogeneous data,” submitted. [Paper]

  11. X. Bian, Y. Mao, and J. Zhang, “Joint activity-delay detection and channel estimation for asynchronous massive random access: A free probability theory approach,” submitted. [Paper]

  12. Y. Sun, M. Kountouris, and J. Zhang, “How to collaborate: Towards maximizing the generalization performance in cross-silo federated learning,” submitted. [Paper]

  13. J. Shao, Z. Li, W. Sun, T. Zhou, Y. Sun, L. Liu, Z. Lin, and J. Zhang, “A survey of what to share in federated learning: Perspectives on model utility, privacy leakage, and communication efficiency,” submitted. [Paper]

Magazine/Tutorial Papers

  1. W. Yu, Y. Ma, H. He, S.H. Song, J. Zhang, and K. B. Letaief, “Deep learning for near-field XL MIMO transceiver design: Principles and techniques,” IEEE Commun. Mag., to appear. [Paper]

  2. Y. Shen, J. Shao, X. Zhang, Z. Lin, H. Pan, D. Li, J. Zhang, K. B. Letaief, “Large language models empowered autonomous edge AI for connected intelligence,” IEEE Commun. Mag., vol. 62, no. 10, pp. 140-146, October 2024. [Paper]

  3. Y. Mao, X. Yu, K. Huang, A.-Y. Zhang, and J. Zhang, “Green edge AI: A contemporary survey,” Proc. IEEE, vol. 112, no. 7, pp. 880-911, July 2024. [Paper]

  4. P. Jiang, C.-K. Wen, X. Yi, X. Li, S. Jin, and J. Zhang, “Semantic communications using foundation models: Design approaches and open issues,” IEEE Wireless Commun. Mag., vol. 31, no. 3, pp. 76-84, June 2024. [Paper]

  5. Y. Shi, L. Lian, Y. Shi, Z. Wang, Y. Zhou, L. Fu, L. Bai, J. Zhang, and W. Zhang, “Machine learning for large-scale optimization in 6G wireless networks,” IEEE Commun. Surveys Tuts., vol. 25, no. 4, pp. 2088-2132, 4th Quart. 2023. [Paper]

  6. J. Shao, J. Zhang, “Communication-computation trade-off in resource-constrained edge inference,” IEEE Commun. Mag., vol. 58, no. 12, pp. 20–26, Dec. 2020. [Paper] [GitHub]

  7. Y. Shi, K. Yang, T. Jiang, J. Zhang, and K. B. Letaief, “Communication-efficient edge AI: Algorithms and systems,” IEEE Commun. Surveys Tuts., vol. 22, no. 4, pp. 2167–2191, 4th Quart. 2020. [Paper]

  8. L. Wang, J. Zhang, J. Chuan, R. Ma, and A. Fei, “Edge intelligence for mission cognitive wireless emergency networks,” IEEE Wireless Commun. Mag., vol. 27, no. 4, pp. 103–109, Aug 2020.

  9. J. Zhang and K. B. Letaief, “Mobile edge intelligence and computing for the Internet of vehicles,” Proc. IEEE, vol. 108, no. 2, pp. 246–261, Feb. 2020. [Paper]

  10. G. Zhu, D. Liu, Y. Du, C. You, J. Zhang, and K. Huang, “Toward an intelligent edge: Wireless communication meets machine learning,” IEEE Commun. Mag., vol. 58, no. 1, pp. 19–25, Jan. 2020. [Paper]

  11. J. Zhang, X. Yu, and K. B. Letaief, “Hybrid beamforming for 5G and beyond millimeter-wave systems: A holistic view,” IEEE Open J. Commun. Society, vol. 1, no. 1, pp. 77–91, Jan. 2020. [Paper]

  12. K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and A.-Y. Zhang, “The Roadmap to 6G – AI Empowered Wireless Networks,” IEEE Commun. Mag., vol. 57, no. 8, pp. 84-90, Aug. 2019. [Paper]

  13. Y. Shi, J. Zhang, W. Chen, and K. B. Letaief, “Generalized sparse and low-rank optimization for ultra-dense networks,” IEEE Commun. Mag., vol. 56, no. 6, pp. 42-48, Jun. 2018. [Paper]

  14. Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, “A survey on mobile edge computing: The communication perspective,” IEEE Commun. Surveys Tuts., vol. 19, no. 4, pp. 2322-2358, 4th Quart. 2017. [Paper] (The 2021 Best Survey Paper Award of IEEE Communications Society)

  15. R. Wang, X. Peng, J. Zhang, and K. B. Letaief, “Mobility-aware caching for content-centric wireless networks: Modeling and methodology,” IEEE Commun. Mag., vol. 54, no. 8, pp. 77-83, Aug. 2016. [Paper]

  16. Y. Shi, J. Zhang, K. B. Letaief, B. Bai, and W. Chen, “Large-scale convex optimization for ultra-dense Cloud-RAN,” IEEE Wireless Commun. Mag., vol. 22, no. 3, pp. 84-91, Jun. 2015. [paper]

  17. Y. Mao, Y. Luo, J. Zhang, and K. B. Letaief, “Energy harvesting small cell networks: Feasibility, deployment and operation,” IEEE Commun. Mag., vol. 53, no. 6, pp. 94-101, Jun. 2015. [Paper] [This work was reported on The Register.]

  18. G. Bartoli, R. Fantacci, K. B. Letaief, D. Marabissi, N. Privitera, M. Pucci, and J. Zhang, “Beamforming for small cells deployment in LTE-Advanced and beyond,” IEEE Wireless Commun. Mag., vol. 21, no. 2, pp. 50-56, Apr. 2014.

Journal Articles

  1. X. Wang, Z. Li, S. Jin, and J. Zhang, “Achieving linear speedup in asynchronous federated learning with heterogeneous clients,” IEEE Trans. Mobile Computing, to appear. [Paper]

  2. J. Tong, X. Li, L. Fu, J. Zhang, and K. B. Letaief, “A federated online restless bandit framework for cooperative resource allocation,” IEEE Trans. Mobile Computing, to appear. [Paper]

  3. L. Liu, J. Zhang, S.H. Song, and Khaled B. Letaief, “Communication-efficient federated distillation: Theoretical analysis and performance enhancement,” IEEE Internet of Things Journal, to appear.

  4. T. Zhou, Z. Lin, J. Zhang, and D. Tsang, “Understanding and improving model averaging in federated learning on heterogeneous data,” IEEE Trans. Mobile Computing, to appear. [Paper]

  5. J. Tong, Z. Chen, L. Fu, J. Zhang, and Z. Han, “From learning to analytics: Improving model efficacy with goal-directed client selection,” IEEE Trans. Mobile Computing, to appear. [Paper]

  6. Z. Li, Z. Lin, J. Shao, Y. Mao, and J. Zhang, “FedCiR: Client-invariant representation learning for federated non-IID features,” IEEE Trans. Mobile Computing, vol. 23, no. 11, pp. 10509-10522, November 2024. [Paper]

  7. L. Fu, J. Tong, T. Lin, and J. Zhang, “Data-driven online resource allocation for user experience improvement in mobile edge clouds,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 13707-13721, October 2024. [Paper]

  8. Z. Li, Y. Sun, J. Shao, Y. Mao, J. Wang, and J. Zhang, “Feature matching data synthesis for non-IID federated learning,” IEEE Trans. Mobile Computing, vol. 23, no. 10, pp. 9352-9367, October 2024. [Paper]

  9. W. Yu, H. He, X. Yu, S. Song, J. Zhang, R. D. Murch, and K. B. Letaief, “Bayes-optimal unsupervised learning for channel estimation in near-field holographic MIMO,” IEEE J. Sel. Topics Signal Process., vol. 18, no. 4, pp. 714-729, July 2024. [Paper]

  10. Y. Sun, Y. Mao, and J. Zhang, “MimiC: Combating client dropouts in federated learning by mimicking central updates,” IEEE Trans. Mobile Computing, vol. 23, no. 7, pp. 7572-7584, July 2024. [Paper] [GitHub]

  11. Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, “Channel and gradient-importance aware device scheduling for over-the-air federated learning,” IEEE Trans. Wireless Commun., vo. 23, no. 7, pp. 6905-6920, July 2024. [Paper]

  12. J. Shao, J. Tong, Q. Wu, W. Guo, Z. Li, Z. Lin, and Jun Zhang, “WirelessLLM: Empowering large language models towards wireless intelligence,” Journal of Communications and Information Networks, vol. 9, no. 2, pp. 99-112, June 2024. [Paper]

  13. Y. Zhang, Z. Yu, J. Zhang, L. Wang, T. Luan, B. Guo, and C. Yuen, “Learning decentralized traffic signal controllers with multi-agent graph reinforcement learning,” IEEE Trans. Mobile Computing, vol. 23, no. 6, pp. 7180-7195, June 2024. [Paper]

  14. T. Zhou, J. Zhang, and D. Tsang, “FedFA: Federated learning with feature anchors to align feature and classifier for heterogeneous data,” IEEE Trans. Mobile Computing, vol. 23, no. 6, pp. 6731-6742, June 2024. [Paper] [Code]

  15. Y. Sun, J. Shao, Y. Mao, S. Li, and J. Zhang, “Stochastic coded federated learning: Theoretical analysis and incentive mechanism design,” IEEE Trans. Wireless Commun., vol. 23, no. 6, pp. 6623-6638, June 2024. [Paper]

  16. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Message passing meets graph neural networks: A new paradigm for massive MIMO systems,” IEEE Trans. Wireless Commun., vol. 23, no. 5, pp. 4709-4723, May 2024. [Paper]

  17. J. Shao, X. Zhang, and J. Zhang, “Task-oriented communication for edge video analytics,” IEEE Trans. Wireless Commun., vol. 23, no. 5, pp. 4141-4154, May 2024. [Paper] [GitHub]

  18. C. Rong, J. Wang, J. Wang, Y. Zhou, and J. Zhang, “Live migration of video analytics applications in edge computing,” IEEE Trans. Mobile Computing, vol. 23, no. 3, pp. 2078-2092, March 2024.

  19. X. Bian, Y. Mao, and J. Zhang, “Grant-free massive random access with retransmission: Receiver optimization and performance analysis,” IEEE Trans. Commun., vol. 72, no. 2, pp. 786-800, Feb. 2024. [Paper]

  20. J. Shao, F. Wu, and J. Zhang, “Selective knowledge sharing for privacy-preserving federated distillation without a good teacher,” Nature Communications, January 2024, DOI: 10.1038/s41467-023-44383-9. [Paper]

  21. X. Bian, Y. Mao, and J. Zhang, “Joint activity detection, channel estimation, and data decoding for grant-free massive random access,” IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14042-14057, August 2023. [Paper]

  22. W. Yu, Y. Shen, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, “An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation,” IEEE J. Sel. Topics Signal Process., vol. 17, no. 4, pp. 761-776, July 2023. [Paper] [GitHub]

  23. Y. Sun, J. Shao, Y. Mao, J. Wang, and J. Zhang, “Semi-decentralized federated edge learning with data and device heterogeneity,” IEEE Transactions on Network and Service Management, vol. 20, no. 2, pp. 1487-1501, June 2023. [Paper]

  24. Y. Shen, J. Zhang, S.H. Song, and K. B. Letaief, “Graph neural networks for wireless communications: From theory to practice,” IEEE Trans. Wireless Commun., vol. 22, no. 5, pp. 3554-3569, May 2023. [Paper] [GitHub]

  25. J. Shao, Y. Mao, and J. Zhang, “Task-oriented communication for multidevice cooperative edge inference,” IEEE Trans. Wireless Commun., vol. 11, no. 1, pp. 73-87, Jan. 2023. [Paper]

  26. L. Liu, J. Zhang, S.H. Song, and K. B. Letaief, “Hierarchical federated learning with quantization: Convergence analysis and system design,” IEEE Trans. Wireless Commun., vol. 11, no. 1, pp. 2-18, Jan. 2023. [Paper]

  27. L. Chen, J. Wu, J. Zhang, X. Long, and Y. Pang, “Dependency-aware computation offloading for mobile edge computing with edge-cloud cooperation,” IEEE Trans. Cloud Computing, vol. 10, no. 4, pp. 2451-2468, Oct.-Dec. 2022.

  28. Y. Ma, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Learn to communicate with neural calibration: Scalability and generalization,” IEEE Trans. Wireless Commun., vol. 21, no. 11, pp. 9947-9961, Nov. 2022. [Paper]

  29. J. Dong, J. Zhang, Y. Shi, and J. Wang, “Faster activity and data detection in massive random access: A multi-armed bandit approach,” IEEE Internet of Things Journal, vol. 9, no. 15, pp. 13664-13678, Aug. 2022. [Paper]

  30. R. Dong, Y. Mao, and J. Zhang, “Resource-constrained edge AI with early exit prediction,” Journal of Communications and Information Networks, vol. 7, no. 2, pp. 122-134, June 2022. [Paper]

  31. Y. Yu, C. Zhang, W. Wang, J. Zhang, and K. B. Letaief, “Towards dependency-aware cache management for data-parallel applications,” IEEE Trans. Cloud Computing, vol. 10, no. 1, pp. 706-723, Jan.-Mar. 2022.

  32. J. Shao, Y. Mao, and J. Zhang, “Learning task-oriented communication for edge inference: An information bottleneck approach,” IEEE J. Select. Areas Commun, vol. 40, no. 1, pp. 197-211, Jan. 2022. [Paper] [GitHub]

  33. X. Zhao, T. Lin, Y. Zhu, and J. Zhang, “Partially-connected hybrid beamforming for spectral efficiency maximization via a weighted MMSE equivalence,” IEEE Trans. Wireless Commun., vol. 20, no. 12, pp. 8218-8232, Dec. 2021. [Paper]

  34. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Cell-free massive MIMO for 6G wireless communication networks,” Journal of Communications and Information Networks, vol. 6, no. 4, pp. 321-335, Dec. 2021. [Paper]

  35. D. Liu, G. Zhu, J. Zhang, and K. Huang, “Data-importance aware user scheduling for communication-efficient edge machine learning,” IEEE Trans. Cognitive Commun. and Networking, vol. 7, no. 1, pp. 265-278, March 2021. [Paper]

  36. Y. Xue, Y. Shen, V. Lau, J. Zhang, and K. B. Letaief, “Blind data detection in massive MIMO via ell_3-norm maximization over the Stiefel manifold,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1411–1424, Feb. 2021. [Paper]

  37. L. Chen, J. Wu, and J. Zhang, “Long-term optimization for MEC-enabled HetNets with edge-cloud-cloud collaboration,” Computer Communications, vol. 166, pp. 66–80, Jan. 2021.

  38. D. Liu, G. Zhu, Q. Zeng, J. Zhang, and K. Huang, “Wireless data acquisition for edge learning: Data-importance aware retransmission,” IEEE Trans. Wireless Commun., vol. 20, no. 1, pp. 406–420, Jan. 2021. [Paper]

  39. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Graph neural networks for scalable radio resource management: architecture design and theoretical analysis,” IEEE J. Select. Areas Commun, vol. 39, no. 1, pp. 101–115, Jan. 2021. [Paper]

  40. X. Yang, S. Hua, Y. Shi, H. Wang, J. Zhang, and K. B. Letaief, “Sparse optimization for green edge AI inference,” Journal of Communications and Information Networks, vol. 5, no. 1, pp. 1–15, Apr. 2020. [Paper]

  41. Y. Yu, W. Wang, R. Huang, J. Zhang, and K. B. Letaief, “Achieving load-balanced, redundancy-free cluster caching with selective partition,” IEEE Trans. Parallel Distrib. Syst., vol. 31, no. 2, pp. 439–454, Feb. 2020.

  42. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “LORM: Learning to optimize for resource management in wireless networks with few training samples,” IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 665–679, Jan. 2020. [Paper]

  43. S. He, J. Wang, J. Zhang, Y. Huang, and X. Zhang, “Coordinated fronthaul data assignment and multicast beamforming for cache-enabled wireless networks,” IEEE Wireless Commun. Lett., vol. 8, no. 4, pp. 1082–1085, Aug. 2019.

  44. T. Jiang, Y. Shi, J. Zhang, and K. B. Letaief, “Joint activity detection and channel estimation for IoT networks: phase transition and computation-estimation tradeoff,” IEEE Internet of Things J., vol. 6, no. 4, pp. 6212–6225, Aug. 2019. [Paper]

  45. X. Yu, J. Zhang, and K. B. Letaief, “Doubling phase shifters for efficient hybrid precoder design in millimeter-wave communication systems,” Journal of Communications and Information Networks, vol. 4, no. 2, pp. 51–67, Jun. 2019. [Paper]

  46. T. Lin, J. Cong, Y. Zhu, J. Zhang, and K. B. Letaief, “Hybrid beamforming for millimeter wave systems using the MMSE criterion,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3693-3708, May 2019. [Paper]

  47. X. Yu, C. Li, J. Zhang, M. Haenggi, and K. B. Letaief, “A unified framework for the tractable analysis of multi-antenna wireless networks,” IEEE Trans. Wireless Commun., vol. 17, no. 12, pp. 7965-7980, Dec. 2018. [Paper]

  48. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “Exploiting mobility in cache-assisted D2D networks: Performance analysis and optimization,” IEEE Trans. Wireless Commun., vol. 17, no. 8, pp. 5592-5605, Aug. 2018. [Paper]

  49. X. Yu, J. Zhang, and K. B. Letaief, “A hardware-efficient analog network structure for hybrid precoding in millimeter wave systems,” IEEE J. Sel. Topics Signal Process., Special Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays, vol. 12, no. 2, pp. 282-297, May 2018. [Paper][Codes]

  50. Y. Shi, J. Zhang, W. Chen, and K. B. Letaief, “Enhanced group sparse beamforming for dense green Cloud-RAN: A random matrix approach,” IEEE Trans. Wireless Commun., vol. 17, no. 4, pp. 2511-2524, Apr. 2018. [Paper] [Codes]

  51. X. Liu, Y. Shi, J. Zhang, and K. B. Letaief, “Massive CSI acquisition for dense Cloud-RANs with spatial-temporal dynamics,” IEEE Trans. Wireless Commun., vol. 17, no. 4, pp. 2557-2570, Apr. 2018.

  52. X. Peng, Y. Shi, J. Zhang, and K. B. Letaief, “Layered group sparse beamforming for cache-enabled wireless networks,” IEEE Trans. Commun., vol. 65, no. 12, pp. 5589-5603, Nov. 2017. [Paper]

  53. J. Liu, B. Bai, J. Zhang, and K. B. Letaief, “Cache placement in Fog-RANs: from centralized to distributed algorithms,” IEEE Trans. Wireless Commun., vol. 16, no. 11, pp. 7039-7051, Nov. 2017. [Paper]

  54. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, “Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems,” IEEE Trans. Wireless Commun., vol. 16, no. 9, pp. 5994-6009, Sept. 2017. [Paper]

  55. B. Hu, C. Hua, J. Zhang, C. Chen, and X. Guan, “Joint fronthaul multicast beamforming and user-centric clustering in downlink C-RANs,” IEEE Trans. Wireless Commun., vol. 16, no. 8, pp. 5395-5409, Aug. 2017.

  56. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “Mobility-aware caching in D2D networks,” IEEE Trans. Wireless Commun., vol. 16, no. 8, pp. 5001-5015, Aug. 2017. [Paper] [Codes]

  57. X. Yu, J. Zhang, M. Haenggi, and K. B. Letaief, “Coverage analysis for millimeter wave networks: The impact of directional antenna arrays,” IEEE J. Select. Areas Commun, Special Issue on Millimeter Wave Communications for Future Mobile Networks, vol. 35, no. 7, pp. 1498-1512, Jul. 2017. [Paper]

  58. J.-C. Shen, J. Zhang, K.-C. Chen, and K. B. Letaief, “High-dimensional CSI acquisition in massive MIMO: Sparsity-inspired approaches,” IEEE Systems Journal, vol. 11, no. 1, pp. 32-40, Mar. 2017. [Paper]

  59. Y. Mao, J. Zhang, and K. B. Letaief, “Dynamic computation offloading for mobile-edge computing with energy harvesting devices,” IEEE J. Select. Areas Commun. - Series on Green Commun. and Networking, vol. 34, no. 12, pp. 3590-3605, Dec. 2016. [Paper] (The 2019 IEEE Communications Society & Information Theory Society Joint Paper Award)

  60. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “Optimal QoS-aware channel assignment in D2D communications with partial CSI,” IEEE Trans. Wireless Commun., vol. 15, no. 11, pp. 7594-7609, Nov. 2016. [Paper]

  61. Y. Shi, J. Zhang, and K. B. Letaief, “Low-rank matrix completion for topological interference management by Riemannian pursuit,” IEEE Trans. Wireless Commun., vol. 15, no. 7, pp. 4703-4717, Jul. 2016. [Paper] [Codes]

  62. J.-C. Shen, J. Zhang, E. Alsusa, and K. B. Letaief, “Compressed CSI acquisition in FDD massive MIMO: How much training is needed?” IEEE Trans. Wireless Commun., vol. 15, no. 6, pp. 4145-4156, Jun. 2016. [Paper]

  63. Y. Mao, J. Zhang, and K. B. Letaief, “Grid energy consumption and QoS tradeoff in hybrid energy supply wireless networks,” IEEE Trans. Wireless Commun., vol. 15, no. 5, pp. 3573-3586, May 2016. [Paper]

  64. Y. Shi, J. Cheng, J. Zhang, B. Bai, W. Chen and K. B. Letaief, “Smoothed Lp-minimization for green Cloud-RAN with user admission control,” IEEE J. Select. Areas Commun., vol. 34, no. 4, pp. 1022-1036, Apr. 2016. [Paper] [Codes]

  65. X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, “Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems,” IEEE J. Sel. Topics Signal Process., Special Issue on Signal Process. for Millimeter Wave Wireless Communications, vol. 10, no. 3, pp. 485-500, Apr. 2016. [Paper] [Codes] (The 2018 IEEE Signal Processing Society Young Author Best Paper Award) (One of the IEEE Signal Processing Society’s top 25 downloaded articles in 2019)

  66. C. Li, J. Zhang, J. G. Andrews, and K. B. Letaief, “Success probability and area spectral efficiency in multiuser MIMO HetNets,” IEEE Trans. Commun., vol. 64, no. 4, pp. 1544-1556, Apr. 2016. [Paper]

  67. Y. Luo, J. Zhang, and K. B. Letaief, “Transmit power minimization for wireless networks with energy harvesting relays,” IEEE Trans. Commun., vol. 64, no. 3, pp. 987-1000, Mar. 2016. [Paper]

  68. Y. Mao, J. Zhang, and K. B. Letaief, “A Lyapunov optimization approach for green cellular networks with hybrid energy supplies,” IEEE J. Select. Areas Commun. - Series on Green Commun. and Networking, vol. 33, no. 12, pp. 2463-2477, Dec. 2015. [Paper]

  69. Y. Shi, J. Zhang, B. O’Donoghue, and K. B. Letaief, “Large-scale convex optimization for dense wireless cooperative networks,” IEEE Trans. Signal Process., vol. 63, no. 18, pp. 4729-4743, Sept. 2015. [Paper][Codes] (The 2016 IEEE Signal Processing Society Young Author Best Paper Award)

  70. Y. Shi, J. Zhang, and K. B. Letaief, “Robust group sparse beamforming for multicast green Cloud-RAN with imperfect CSI,” IEEE Trans. Signal Process., vol. 63, no. 17, pp. 4647-4659, Sept. 2015. [Paper] [Codes]

  71. J.-C. Shen, J. Zhang, and K. B. Letaief, “Downlink user capacity of massive MIMO under pilot contamination,” IEEE Trans. Wireless Commun., vol. 14, no. 6, pp. 3183-3193, Jun. 2015. [Paper]

  72. C. Li, J. Zhang, M. Haenggi, and K. B. Letaief, “User-centric intercell interference nulling for downlink small cell networks,” IEEE Trans. Commun., vol. 63, no. 4, pp. 1419-1431, Apr. 2015. [Paper]

  73. Y. Shi, J. Zhang, and K. B. Letaief, “Optimal stochastic coordinated beamforming for wireless cooperative networks with CSI uncertainty,” IEEE Trans. Signal Process., vol. 63,, no. 4, pp. 960-973, Feb. 2015. [Paper] [Codes]

  74. N. Seifi, J. Zhang, R. W. Heath Jr., T. Svensson, and M. Coldrey, “Coordinated 3D beamforming for interference management in cellular networks,” IEEE Trans. Wireless Commun., vol. 13, no. 10, pp. 5396-5410, Oct. 2014.

  75. Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green Cloud-RAN,” IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2809-2823, May 2014. [Paper] [Codes] (The 2016 Marconi Prize Paper Award)

  76. C. Li, J. Zhang, and K. B. Letaief, “Throughput and energy efficiency analysis of small cell networks with multi-antenna base stations,” IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2502-2517, May 2014. [Paper]

  77. Y. Luo, J. Zhang, and K. B. Letaief, “Optimal scheduling and power allocation for two-hop energy harvesting communication systems,” IEEE Trans. Wireless Commun., vol. 11, no. 9, pp. 4729-4741, Sept. 2013.

  78. L. Deng, Y. Rui, P. Cheng, J. Zhang, Q. T. Zhang, and M. Li, “A unified energy efficiency and spectral efficiency tradeoff metric in wireless networks,” IEEE Commun. Lett., vol. 17, no. 1, pp. 55-58, Jan. 2013.

  79. J. Zhang and K. B. Letaief, “Interference management with relay cooperation in two-hop interference channels,” IEEE Wireless Commun. Lett., vol. 1, no. 3, pp. 165-168, Jun. 2012.

  80. J. Xu, J. Zhang, and J. G. Andrews, “On the accuracy of the Wyner model in cellular networks,” IEEE Trans. Wireless Commun., vol. 10, no. 9, pp. 3098-3109, Sept. 2011.

  81. J. Zhang, M. Kountouris, J. G. Andrews, and R. W. Heath Jr., “Multi-mode transmission for the MIMO broadcast channel with imperfect channel state information,” IEEE Trans. Commun., vol. 59, no. 3, pp. 803-814, Mar. 2011.

  82. N. Seifi, M. Viberg, R.W. Heath Jr., J. Zhang, and M. Coldrey, “Multi-mode Transmission in Network MIMO Downlink with Incomplete CSI,” EURASIP Journal on Advances in Signal Processing, special issue on Cooperative MIMO Multicell Networks, vol. 2011, Article ID 743916, 13 pages, doi:10.11552011743916, 2011.

  83. J. Zhang and J. G. Andrews, “Adaptive spatial intercell interference cancellation in multicell wireless networks,” IEEE J. Select. Areas Commun. special issue on Cooperative Communications in MIMO Cellular Networks, vol. 28, no. 9, pp. 1455-1468, Dec. 2010.

  84. J. Zhang, R. W. Heath Jr., M. Kountouris, and J. G. Andrews, “Mode switching for the multi-antenna broadcast channel based on delay and channel quantization,” EURASIP Journal on Advances in Signal Processing, special issue on Multiuser Limited Feedback, vol. 2009, Article ID 802548, 15 pages, doi:10.11552009802548, 2009. (The 2014 EURASIP Best Paper Award)

  85. J. Zhang, R. Chen, J. G. Andrews, A. Ghosh, and R. W. Heath Jr., “Networked MIMO with clustered linear precoding,” IEEE Trans. Wireless Commun., vol. 8, no. 4, pp. 1910-1921, Apr. 2009.

  86. J. Zhang and J. G. Andrews, “Distributed antenna systems with randomness,” IEEE Trans. Wireless Commun., vol. 7, no. 9, pp. 3636-3646, Sept. 2008.

  87. J. Zhang and T. M. Lok, “Cooperative protocols for multiple-source multiple-relay wireless networks,” International Journal of Sensor Networks, vol. 4, no. 4, pp. 209-219, Jan. 2008.

Conference Papers (in AI and Machine Learning)

  1. S. Gao, J. Yang, L. Chen, K. Chitta, Y. Qiu, A. Geiger, J. Zhang, and H. Li, “Vista: A generalizable driving world model with high fidelity and versatile controllability,” Advances in neural information processing systems (NeurIPS), Vancouver, Canada, Dec. 2024. [Paper] [Code] [Demo] (Acceptance Rate: 25.8%)

  2. X. Li, L. Pan, and J. Zhang, “Kaleidoscope: Learnable masks for heterogeneous multi-agent reinforcement learning,” Advances in neural information processing systems (NeurIPS), Vancouver, Canada, Dec. 2024. (Acceptance Rate: 25.8%) [Paper] [Code]

  3. X. Zhang*, X. Ge*, T. Xu, D. He, Y. Wang, H. Qin, G. Lu, J. Geng, and J. Zhang, “GaussianImage: 1000 FPS image representation and compression by 2D Gaussian splatting,” European Conference on Computer Vision (ECCV), Milano, Italy, Sept.-Oct. 2024. (* equal contribution) (Acceptance Rate: 27.9%) [Paper] [Code]

  4. Z. Liu, X. Zhang, J. Shao, Z. Lin, and J. Zhang, “Bidirectional stereo image compression with cross-dimensional entropy model,” European Conference on Computer Vision (ECCV), Milano, Italy, Sept.-Oct. 2024. (Acceptance Rate: 27.9%) [Paper]

  5. X. Li, Z. Liu, S. Chen, and J. Zhang, “Individual contributions as intrinsic exploration scaffolds for multi-agent reinforcement learning,” International Conference on Machine Learning (ICML), Vienna, Austria, July 2024. (Acceptance Rate: 27.5%) [Paper] [Code] [Video]

  6. J. Yang*, S. Gao*, Y. Qiu*, L. Chen, T. Li, B. Dai, K. Chitta, P. Wu, J. Zeng, J. Zhang, A. Geiger, Y. Qiao, and H. Li, “Generalized predictive model for autonomous driving,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2024. (* equal contribution) (Acceptance Rate: 23.6%) (Highlight, Top 2.8%) [Paper]

  7. X. Zhang, R. Yang, D. He, X. Ge, T. Xu, Y. Wang, H. Qin, and J. Zhang, “Boosting neural representations for videos with a conditional decoder,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2024. (Acceptance Rate: 23.6%) (Highlight, Top 2.8%) [Paper] [Code]

  8. X. Ge, J. Luo, X. Zhang, T. Xu, G. Lu, D. He, J. Geng, Y. Wang, J. Zhang, and H. Qin, “Task-aware encoder control for deep video compression,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2024. (Acceptance Rate: 23.6%) [Paper]

  9. X. Li, J. Zhang, “Context-aware communication for multi-agent reinforcement learning,” International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, May 2024. (Acceptance Rate: 25%) [Paper]

  10. Z. Pan, X. Wang, H. Liu, and J. Zhang, “An efficient hierarchical block coordinate descent method for time-varying graphical LASSO,” IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Seoul, Korea, April 2024.

  11. T. Zhou, J. Zhang, and D. Tsang, “Mode connectivity in federated learning with data heterogeneity,” IEEE Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct.–Nov. 2023. (Invited Paper)

  12. X. Zhang, J. Shao, and J. Zhang, “Low-complexity deep video compression with a distributed coding architecture,” IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, July 2023. [Paper] [GitHub]

  13. S. Gao, C. Zhou, and J. Zhang, “Generalized relation modeling for transformer tracking,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 2023. (Acceptance Rate: 25.78%) [Paper] [GitHub]

  14. X. Wang*, X. Li*, J. Shao, and J. Zhang, “AC2C: Adaptively controlled two-hop communication for multi-agent reinforcement learning,” International Conference on Autonomous Agents and Multiagent Systems (AAMAS), London, United Kingdom, May-June 2023. (Acceptance Rate: 23.3%) (* equal contribution) [Paper]

  15. W. Sun, S. Li, Y. Sun, and J. Zhang, “DABS: Data-agnostic backdoor attack at the server in federated learning,” Backdoor Attacks and Defenses in Machine Learning (BANDS) Workshop at ICLR 2023, Kigali, Rwanda, May 2023. (Spotlight presentation) [Paper]

  16. X. Zhang, J. Shao, and J. Zhang, “LDMIC: Learning-based distributed multi-view image coding,” International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023. (Acceptance Rate: 31.8%) [Paper] [GitHub]

  17. B. Li*, Y. Shen*, J. Yang, Y. Wang, J. Ren, T. Che, J. Zhang, and Z. Liu, “Sparse mixture-of-experts are domain generalizable learners,” International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023. (Oral presentation) (Acceptance Rate: 31.8%) [Paper] [GitHub]

  18. J. Shao, Y. Sun, S. Li, and J. Zhang, “DReS-FL: Dropout-resilient secure federated learning for non-IID clients via secret data sharing,” Advances in neural information processing systems (NeurIPS), New Orleans, LA, Nov-Dec 2022. [Paper] (Acceptance Rate: 25.6%)

  19. Z. Li, J. Shao, Y. Mao, J. Wang, and J. Zhang, “Federated learning with GAN-based data synthesis for non-IID clients,” Int. Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI’22), Vienna, Austria, July 2022. [Paper]

  20. Y. Sun, J. Shao, S. Li, Y. Mao, and J. Zhang, “Stochastic coded federated learning with convergence and privacy guarantees,” IEEE Int. Symp. Information Theory (ISIT), Espoo, Finland, June-July 2022. [Paper]

  21. H. Wang, Y. Shen, Z. Wang, D. Li, J. Zhang, K. B. Letaief, and J. Lu, “Decentralized statistical inference with unrolled graph neural networks,” IEEE Conference on Decision and Control (CDC), Austin, TX, USA, Dec. 2021. (Invited Paper) [Paper]

  22. Y. Shen, Y. Wu, Y. Zhang, C. Shan, J. Zhang, K. B. Letaief, and D. Li, “How powerful is graph convolution for recommendation?,” ACM International Conference on Information and Knowledge Management (CIKM), virtual conference, Nov. 2021. [Paper] (spotlight presentation) (Acceptance Rate: 21.7%)

  23. Y. Shen*, Y. Xue*, J. Zhang, K. B. Letaief, and V. Lau, “Complete Dictionary Learning via ell_p-norm Maximization,” Conference on Uncertainty in Artificial Intelligence (UAI) 2020, Toronto, Canada, Aug. 2020. [Paper] (Acceptance Rate: 27.5%) (* equal contribution)

Conference Papers (in Wireless Communications and Networking)

  1. B. Liu, J. Tong, and J. Zhang, “LLM-Slice: Dedicated wireless network slicing for large language models,” The 22nd ACM Conference on Embedded Networked Sensor Systems - Posters and Demos, Hangzhou, China, Nov. 2024. [Paper]

  2. L. Liu, Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, “Quantization and privacy noise co-design for utility-privacy-communication trade-off in federated learning,” IEEE GLOBECOM, Cape Town, South Africa, Dec. 2024.

  3. J. Shao, T. Li, and J. Zhang, “Task-oriented communication for vehicle-to-infrastructure cooperative perception,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), London, UK, September 2024. [Paper]

  4. S. Xie, H. He, H. Li, S.H. Song, J. Zhang, A.-Y. Zhang, and K. B. Letaief, “Deep learning-based adaptive joint source-channel coding using hypernetworks,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, July 2024.

  5. T. Kang, L. Liu, H. He, J. Zhang, S.H. Song, and K. B. Letaief, “The effect of quantization in federated learning: A R{'é}nyi differential privacy perspective,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, July 2024.

  6. W. Guo, M. He, C. Huang, H. He, S.H. Song, J. Zhang, and K. B. Letaief, “Model-driven deep learning for distributed detection in WSNs with binary quantization,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Madrid, Spain, July 2024.

  7. Z. Hu, J. Yan, A.-Y. Zhang, J. Zhang, and K. B. Letaief, “Communication-learning co-design for over-the-air federated distillation,” IEEE Vehicular Technology Conference (VTC2024-Spring), Singapore, June 2024.

  8. W. Yu, H. He, X. Yu, S. Song, J. Zhang, R. D. Murch, and K. B. Letaief, “Learning Bayes-optimal channel estimation for holographic MIMO in unknown EM environments,” IEEE Int. Conf. Commun. (ICC), Denver, CO, USA, June 2024. [Paper]

  9. Y. Ma, W. Yu, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Lightweight and flexible deep equilibrium learning for CSI feedback in FDD massive MIMO,” IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May 2024.

  10. R. Cao, W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, Y. Gong, and K. B. Letaief, “Newtonized near-field channel estimation for ultra-massive MIMO systems,” IEEE Wireless Commun. Networking Conf. (WCNC), Dubai, United Arab Emirates, April 2024.

  11. Y. Liu, X. Bian, Y. Xu, T. Hou, W. Wang, Y. Mao, and J. Zhang, “Decentralizing coherent joint transmission precoding via deterministic equivalents,” IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Seoul, Korea, April 2024. [Paper]

  12. L. Liu, J. Zhang, S.H. Song, and K. B. Letaief, “Binary federated learning with client-level differential privacy,” IEEE GLOBECOM, Kuala Lumpur, Malaysia, Dec. 2023. [Paper]

  13. H. Li, W. Yu, H. He, J. Shao, S.H. Song, J. Zhang, and K. B. Letaief, “Task-oriented communication with out-of-distribution detection: An information bottleneck framework,” IEEE GLOBECOM, Kuala Lumpur, Malaysia, Dec. 2023. [Paper]

  14. X. Bian, Y. Mao, and J. Zhang, “Joint activity-delay detection and channel estimation for asynchronous massive random access,” IEEE GLOBECOM, Kuala Lumpur, Malaysia, Dec. 2023. [Paper]

  15. Y. Sun, Z. Lin, Y. Mao, S. Jin, and J. Zhang, “Probabilistic device scheduling for over-the-air federated learning,” IEEE Int. Conf. Commun. Technology (IEEE ICCT), Wuxi, China, Oct. 2023.

  16. M. Zhang, H. He, S.H. Song, J. Zhang, and K. B. Letaief, “Resource allocation for OTFS-based ISAC systems,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Dubrovnik, Croatia, Sept. 2023.

  17. W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, “Blind performance prediction for deep learning based ultra-massive MIMO channel estimation,” IEEE Int. Conf. Commun. (ICC), Rome, Italy, May-June 2023. [Paper]

  18. H. He, A. Kosasih, X. Yu, J. Zhang, S.H. Song, W. Hardjawana, and K. B. Letaief, “GNN-enhanced approximate message passing for massive/ultra-Massive MIMO detection,” IEEE Wireless Commun. Networking Conf. (WCNC), Glasgow, Scotland, UK, March 2023.

  19. X. Bian, Y. Mao, and J. Zhang, “Error rate analysis for grant-free massive random access with short-packet transmission,” IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 2022. [Paper]

  20. W. Yu, Y. Shen, H. He, X. Yu, J. Zhang, and K. B. Letaief, “Hybrid far- and near-field channel estimation for THz ultra-massive MIMO via fixed point networks,” IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 2022. [Paper]

  21. Y. Ma, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Augmented deep unfolding for downlink beamforming in multi-cell massive MIMO With limited feedback,” IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 2022. [Paper]

  22. Z. Qiao, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Content-aware client selection for federated learning in wireless networks,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Athens, Greece, Sept. 2022.

  23. R. Cao, H. He, X. Yu, J. Zhang, S.H. Song, Y. Gong, and K. B. Letaief, “Belief propagation for near-field cooperative localization and tracking in 6G vehicular networks,” IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Athens, Greece, Sept. 2022.

  24. Y. Sun, J. Shao, Y. Mao, and J. Zhang, “Asynchronous semi-decentralized federated edge learning for heterogenous clients,” IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, May 2022. [Paper]

  25. Y. Shen, J. Zhang, and K. B. Letaief, “How neural architectures affect deep learning for communication networks?” IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, May 2022. [Paper]

  26. L. Liu, J. Zhang, S.H. Song, and K. B. Letaief, “Communication-efficient federated distillation with active data sampling,” IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, May 2022. [Paper]

  27. M. Yao, L. Chen, J. Zhang, J. Huang, and J. Wu, “Loading cost-aware model caching and request routing for cooperative edge inference,” IEEE Int. Conf. Commun. (ICC), Seoul, South Korea, May 2022.

  28. Y. Sun, J. Shao, Y. Mao, J. Wang, and J. Zhang, “Semi-decentralized federated edge learning for fast convergence on non-IID data,” IEEE Wireless Commun. Networking Conf. (WCNC), Austin, TX, USA, Apr. 2022. [Paper]

  29. X. Zhang, J. Shao, Y. Mao, and J. Zhang, “Communication-computation efficient device-edge co-inference via AutoML,” IEEE Globecom, Madrid, Spain, Dec. 2021. [Paper]

  30. Y. Ma, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Neural calibration for scalable beamforming in FDD massive MIMO with implicit channel estimation,” IEEE Globecom, Madrid, Spain, Dec. 2021. [Paper]

  31. H. He, H. Wang, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Distributed expectation propagation detector for cell-free massive MIMO,” IEEE Globecom, Madrid, Spain, Dec. 2021. [Paper]

  32. X. Bian, Y. Mao, and J. Zhang, “Joint activity detection and data decoding in massive random access via a Turbo receiver,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Lucca, Italy, Sept. 2021. [Paper]

  33. Y. Shen, J. Zhang, S.H. Song, and K. B. Letaief, “AI empowered resource management for future wireless networks,” in Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), Athens, Greece, Sept. 2021. [Paper]

  34. X. Bian, Y. Mao, and J. Zhang, “Supporting more active users for massive access via data-assisted activity detection,” in Proc. IEEE Int. Conf. Commun. (ICC), Montreal, Canada, Jun. 2021. [Paper]

  35. J. Shao, H. Zhang, Y. Mao, and J. Zhang, “Branchy-GNN: a device-edge co-inference framework for efficient point cloud processing,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Toronto, Ontario, Canada, Jun. 2021. [Paper] [GitHub]

  36. Y. Ma, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “A low-complexity algorithmic framework for large-scale IRS-assisted wireless systems,” IEEE Globecom 2020 Workshop on Reconfigurable Intelligent Surfaces for Wireless Communication for Beyond 5G, Taipei, Taiwan, Dec. 2020. [Paper]

  37. H. Zhao, J. Zhang, X. Li, Q. Wang, and H. Zhu, “A novel traffic accident risk prediction via deep learning for Internet of vehicle,” IEEE Globecom 2020 Workshop on Secure and Dependable Software-defined Networking for Sustainable Smart Communities, Taipei, Taiwan, Dec. 2020.

  38. Y. Shen, J. Zhang, S.H. Song, and K. B. Letaief, “Deep learning for scalable wireless resource allocation: Which model to use?” in Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2020. (Invited Paper)

  39. J. Shao, J. Zhang, “BottleNet++: An end-to-end approach for feature compression in device-edge co-inference systems,” in Proc. IEEE Int. Conf. Commun. (ICC) Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, Dublin, Ireland, Jun. 2020. [Paper] [GitHub]

  40. D. Liu, G. Zhu, J. Zhang, and K. Huang, “Exploiting diversity via importance-aware user scheduling for fast edge learning,” in Proc. IEEE Int. Conf. Commun. (ICC) Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, Dublin, Ireland, Jun. 2020.

  41. L. Liu, J. Zhang, S.H. Song, and K. B. Letaief, “Client-edge-cloud hierarchical federated learning,” in Proc. IEEE Int. Conf. Commun. (ICC), Dublin, Ireland, Jun. 2020. [Paper]

  42. J. Dong, J. Zhang, and Y. Shi, “Bandit sampling for faster activity and data detection in massive random access,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Barcelona, Spain, May 2020.

  43. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “A graph neural network approach for scalable wireless power control,” in Proc. IEEE GLOBECOM 2019 Workshop on Machine Learning for Wireless Communications, Waikoloa, HI, USA, Dec. 2019. [Paper] [GitHub]

  44. Y. Yu, W. Wang, J. Zhang, and K. B. Letaief, “LACS: Load-aware cache sharing with isolation guarantee,” in Proc. IEEE Int. Conf. Distrib. Comput. Syst. (ICDCS), Dallas, TX, Jul. 2019. (Acceptance Rate: 19.6%)

  45. D. Liu, G. Zhu, J. Zhang, and K. Huang, “Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Cannes, France, Jul. 2019.

  46. X. Yu, J. Zhang, R. Schober, and K. B. Letaief, “A tractable framework for coverage analysis of cellular-connected UAV networks,” in Proc. IEEE Int. Conf. Commun. (ICC) Workshop On Integrating UAVs Into 5G and Beyond (IU5GB), Shanghai, China, May 2019. [Paper]

  47. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Transfer learning for mixed-integer resource allocation problems in wireless networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Shanghai, China, May 2019. [Paper]

  48. H. Yang, J. Zhang, S.H. Song, and K. B. Letaief, “Connectivity-aware UAV path planning with aerial coverage maps,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Marrakech, Morocco, Apr. 2019. [Paper]

  49. K. Huang, G. Zhu, C. You, J. Zhang, Y. Du, and D. Liu, “Communication, computing, and learning on the edge,” in Proc. IEEE Int. Conf. on Commun. Systems (ICCS), Chengdu, China, Dec. 2018. (Invited Paper)

  50. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Scalable network adaption for green Cloud-RANs: An imitation learning approach,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Anaheim, CA, Nov. 2018. [Paper]

  51. Y. Yu, R. Huang, W. Wang, J. Zhang, and K. B. Letaief, “SP-Cache: Load-balanced, Redundancy-free Cluster Caching with Selective Partition,” in Proc. IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Dallas, TX, November, 2018. (Acceptance Rate: 19%) [Paper] [GitHub]

  52. Y. Yu, W. Wang, J. Zhang, Q. Weng, and K. B. Letaief, “OpuS: Fair and efficient cache sharing for in-memory data analytics,” in Proc. IEEE Int. Conf. Distrib. Comput. Syst. (ICDCS), Vienna, Austria, Jul. 2018. (Acceptance Rate: 20%) [Paper]

  53. J. Liu, B. Bai, J. Zhang, K. B. Letaief, and Y. Li, “Joint device caching and channel allocation for D2D-assisted wireless content delivery,” in Proc. IEEE Int. Conf. Commun. (ICC), Kansas City, MO, USA, May 2018.

  54. Y. Yu, W. Wang, J. Zhang, and K. B. Letaief, “LERC: Coordinated cache management for data-parallel systems,” in Proc. IEEE Globecom, Singapore, Dec. 2017. [Paper]

  55. X. Yu, J. Zhang, and K. B. Letaief, “Hybrid precoding in millimeter wave systems: How many phase shifters are needed?” in Proc. IEEE Globecom, Singapore, Dec. 2017. [Paper] [MATLAB Code] (Best Paper Award)

  56. X. Zhang, Y. Mao, J. Zhang, and K. B. Letaief, “Multi-objective resource allocation for mobile edge computing systems,” in Proc. IEEE Int. Symp. on Personal Indoor and Mobile Radio Comm. (PIMRC), Montreal, QC, Canada, Oct. 2017.

  57. X. Yu, J. Zhang, and K. B. Letaief, “Partially-connected hybrid precoding in mm-wave systems with dynamic phase shifter networks,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Hokkaido, Japan, Jul. 2017. [Paper]

  58. R. Wang, J. Zhang, and K. B. Letaief, “Incentive mechanism design for cache-assisted D2D communications: A mobility-aware approach,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Hokkaido, Japan, Jul. 2017. (Invited Paper) [Paper]

  59. X. Yu, C. Li, J. Zhang, and K. B. Letaief, “A tractable framework for performance analysis of dense multi-antenna networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017. [Paper]

  60. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “Mobility increases the data offloading ratio in D2D caching networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017. [Paper]

  61. X. Liu, Y. Shi, J. Zhang, and K. B. Letaief, “Massive CSI acquisition in dense Cloud-RAN with spatial and temporal prior information,” in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017.

  62. Y. Yu, W. Wang, J. Zhang, and K. B. Letaief, “LRC: Dependency-aware cache management in data analytics clusters,” in Proc. IEEE INFOCOM 2017, Atlanta, GA, May 2017. (Acceptance Rate: 20.93%) [Paper] [Slides]

  63. Y. Mao, J. Zhang, and K. B. Letaief, “Joint task offloading scheduling and transmit power allocation for mobile-edge computing systems,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), San Francisco, CA, Mar. 2017. [Paper]

  64. Y. Su, Y. Shi, B. Bai, W. Chen, J. Zhang, K. B. Letaief, and S. Zhou, “Optimal stochastic power control with compressive CSI acquisition for Cloud-RAN,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Washington, DC, Dec. 2016.

  65. K. Yang, Y. Shi, J. Zhang, Z. Ding, and K. B. Letaief, “A low-rank approach for interference management in dense wireless networks,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Washington, DC, Dec. 2016.

  66. Y. Yu, J. Zhang, and K. B. Letaief, “Joint subcarrier and CPU time allocation for mobile edge computing,” in Proc. IEEE Globecom, Washington, DC, Dec. 2016. [Paper]

  67. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, “Power-delay tradeoff in multi-user mobile-edge computing systems,” in Proc. IEEE Globecom, Washington, DC, Dec. 2016. [Paper]

  68. X. Yu, J. Zhang, and K. B. Letaief, “Alternating minimization for hybrid precoding in multiuser OFDM mmWave Systems,” in Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2016. (Invited Paper) [Paper] [MATLAB Codes]

  69. J. Liu, Y. Mao, J. Zhang, and K. B. Letaief, “Delay-optimal computation task scheduling for mobile-edge computing systems,” in Proc. IEEE Int. Symp. Information Theory, Barcelona, Spain, Jul. 2016. [Paper]

  70. Y. Shi, J. Zhang, and K. B. Letaief, “Statistical group sparse beamforming for green Cloud-RAN via large system analysis,” in Proc. IEEE Int. Symp. Information Theory, Barcelona, Spain, Jul. 2016.

  71. C. Li, J. Zhang, S.H. Song, and K. B. Letaief, “Selective uplink training for massive MIMO systems,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016. [Paper]

  72. X. Peng, J. Zhang, S.H. Song, and K. B. Letaief, “Cache size allocation in backhaul limited wireless networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016. [Paper]

  73. J. Liu, B. Bai, J. Zhang, and K. B. Letaief, “Content caching at the wireless network edge: A distributed algorithm via brief propagation,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016. [Paper] (Best Paper Award)

  74. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “QoS-aware joint mode selection and channel assignment for D2D communications,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016. [Paper]

  75. Y. Mao, J. Zhang, and K. B. Letaief, “ARQ with adaptive feedback for energy harvesting receivers,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Doha, Qatar, Apr. 2016. [Paper]

  76. X. Yu, J. Zhang, and K. B. Letaief, “Coverage analysis for dense millimeter wave cellular networks: The impact of array size,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Doha, Qatar, Apr. 2016. [Paper]

  77. X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, “Hybrid precoding design in millimeter wave MIMO systems: An alternating minimization approach,” in Proc. IEEE Globecom, San Diego, CA, Dec. 2015.

  78. X. Peng, J.-C. Shen, J. Zhang, and K. B. Letaief, “Backhaul-aware caching placement for wireless networks,” in Proc. IEEE Globecom, San Diego, CA, Dec. 2015. [Paper]

  79. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “QoS-aware channel assignment for sum-rate maximization in D2D communications,” in Proc. IEEE Globecom, San Diego, CA, Dec. 2015.

  80. Y. Shi, J. Zhang, and K. B. Letaief, “Low-rank matrix completion via Riemannian pursuit for topological interference management,” in Proc. IEEE Int. Symp. Information Theory, Hong Kong, Jun. 2015.

  81. J. Cheng, Y. Shi, B. Bai, W. Chen, J. Zhang, and K. B. Letaief, “Group sparse beamforming for multicast green Cloud-RAN via parallel semidefinite programming,” in Proc. IEEE Int. Conf. Commun. (ICC), London, UK, Jun. 2015.

  82. C. Li, J. Zhang, S.H. Song, and K. B. Letaief, “Analysis of area spectral efficiency and link reliability in multiuser MIMO HetNets,” in Proc. IEEE Int. Conf. Commun. (ICC), London, UK, Jun. 2015.

  83. J.-C. Shen, J. Zhang, E. Alsusa, and K. B. Letaief, “Compressed CSI acquisition in FDD massive MIMO with partial support information,” in Proc. IEEE Int. Conf. Commun. (ICC), London, UK, Jun. 2015.

  84. Y. Mao, J. Zhang, and K. B. Letaief, “Joint base station assignment and power control in hybrid energy supply wireless networks,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), New Orleans, LA, Mar. 2015.

  85. Y. Shi, J. Zhang, and K. B. Letaief, “Scalable coordinated beamforming for dense wireless cooperative networks,” in Proc. IEEE Globecom, Austin, TX, Dec. 2014.

  86. J.-C. Shen, J. Zhang, and K. B. Letaief, “User capacity of pilot-contaminated TDD massive MIMO systems,” in Proc. IEEE Globecom, Austin, TX, Dec. 2014.

  87. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, “Joint link selection and relay power allocation for energy harvesting relaying systems,” in Proc. IEEE Globecom, Austin, TX, Dec. 2014.

  88. Y. Luo, J. Zhang, and K. B. Letaief, “Achieving energy diversity with multiple energy harvesting relays,” Int. Conf. on Wireless Commun. and Signal Processing (WCSP), Hefei, China, Oct. 2014. (Invited Paper) [Paper]

  89. X. Peng, J.-C. Shen, J. Zhang, and K. B. Letaief, “Joint data assignment and beamforming for backhaul limited caching networks,” in Proc. IEEE Int. Symp. on Personal Indoor and Mobile Radio Comm. (PIMRC), Washington, DC, Sept. 2014. (Best Paper Award) [Paper])

  90. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, “Average throughput analysis of downlink cellular networks with multi-antenna base stations,” in Proc. IEEE Int. Symp. on Personal Indoor and Mobile Radio Comm. (PIMRC), Washington, DC, Sept. 2014.

  91. Y. Shi, J. Zhang, and K. B. Letaief, “CSI overhead reduction with stochastic beamforming for cloud radio access networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Sydney, Australia, Jun. 2014. [Paper])

  92. C. Li, J. Zhang, and K. B. Letaief, “User-centric intercell interference coordination in small cell networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Sydney, Australia, Jun. 2014.

  93. F. Li, J. Zhang, and K. B. Letaief, “Location-aware spectrum sharing in cognitive radio networks - A semi-matching approach,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Istanbul, Turkey, Apr. 2014.

  94. Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green cloud radio access networks,” in Proc. IEEE Globecom, Atlanta, GA, Dec. 2013.

  95. C. Li, J. Zhang, and K. B. Letaief, “Performance analysis of SDMA in multicell wireless networks,” in Proc. IEEE Globecom, Atlanta, GA, Dec. 2013. [Paper]

  96. Y. Luo, J. Zhang, and K. B. Letaief, “Relay selection for energy harvesting cooperative communication systems,” in Proc. IEEE Globecom, Atlanta, GA, Dec. 2013. [Paper]

  97. G. Zhao, L. Li, J. Zhang, and K. B. Letaief, “Residential Demand Response with Power Adjustable and Unadjustable Appliances in Smart Grid,” IEEE ICC’13 - Workshop on Energy Efficiency in Wireless Networks & Wireless Networks for Energy Efficiency (E2Nets), Budapest, Hungary, Jun. 2013.

  98. C. Li, J. Zhang, and K. B. Letaief, “Energy efficiency analysis of small cell networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Budapest, Hungary, Jun. 2013. [Paper]

  99. Y. Luo, J. Zhang, and K. B. Letaief, “Throughput maximization for two-hop energy harvesting communication systems,” in Proc. IEEE Int. Conf. Commun. (ICC), Budapest, Hungary, Jun. 2013.

  100. Y. Luo, J. Zhang, and K. B. Letaief, “Training optimization for energy harvesting communication systems,” in Proc. IEEE Globecom, Anaheim, CA, Dec. 2012.

  101. Y. Shi, J. Zhang, and K. B. Letaief, “Coordinated relay beamforming for amplify-and-forward two-hop interference networks,” in Proc. IEEE Globecom, Anaheim, CA, Dec. 2012.

  102. F. Li, J. Zhang, and K. B. Letaief, “Location-aware distributed routing in cognitive radio networks,” in Proc. First IEEE Int. Conf. on Commun. in China (ICCC), Beijing, China, Aug. 2012.

  103. C. Li, S.H. Song, J. Zhang, and K. B. Letaief, “Maximizing energy efficiency in wireless networks with a minimum average throughput requirement,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Paris, France, Apr. 2012, pp. 1130-1134.

  104. F. Li, B. Bai, J. Zhang, and K. B. Letaief, “Location-based joint relay selection and channel allocation for cognitive radio networks,” in Proc. IEEE Globecom, Houston, TX, Dec. 2011.

  105. J. Zhang, J. G. Andrews, and K. B. Letaief, “Optimizing training and feedback for spatial intercell interference cancellation,” in Proc. IEEE Globecom, Houston, TX, Dec. 2011. [Longer version]

  106. J. Xu, J. Zhang, and J. G. Andrews, “On the accuracy of the Wyner model in downlink cellular networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Kyoto, Japan, Jun. 2011.

  107. J. Xu, J. Zhang, and J. G. Andrews, “When does the Wyner model accurately describe an uplink cellular network?,” in Proc. IEEE Globecom, Miami, FL, Dec. 2010, pp. 1-5.

  108. N. Seifi, M. Viberg, R.W. Heath Jr., J. Zhang, and M. Coldrey, “Coordinated single-cell vs multi-cell transmission with limited-capacity backhaul,” in Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2010.

  109. J. Zhang, J. G. Andrews, and R. W. Heath Jr., “Block diagonalization in the MIMO broadcast channel with delayed CSIT,” in Proc. IEEE Globecom, Honolulu, Hawaii, Nov. 2009, pp. 1-6.

  110. J. Zhang, M. Kountouris, J. G. Andrews, and R. W. Heath Jr., “Achievable throughput of multi-mode multiuser MIMO with imperfect CSI constraints,” in Proc. IEEE Int. Symp. Information Theory, Seoul, Korea, Jun. 2009, pp. 2659-2663.

  111. J. Zhang, J. G. Andrews, and R. W. Heath Jr., “Single-user MIMO vs. multiuser MIMO in the broadcast channel with CSIT constraints,” Allerton Conf. on Comm. Control and Comp., Monticello, IL, 2008, pp. 309-314.

  112. J. Zhang and J. G. Andrews, “Cellular communication with randomly placed distributed antennas,” in Proc. of IEEE Globalcom, Washington, D.C., Dec. 2007, pp. 1400-1404.

  113. J. Zhang, R. Chen, J. G. Andrews, and R. W. Heath Jr., “Coordinated multi-cell MIMO systems with cellular block diagonalization,” in Proc. of the IEEE Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 4-7, 2007, pp. 1669-1673.

  114. J. Zhang, T. M. Lok, “Multiple-source multiple-relay cooperation system,” in Proc. of IEEE Int. Conf. Commun. (ICC), Istanbul, Turkey, Jun. 2006, pp. 3735-3740.

  115. J. Zhang, T. M. Lok, “Performance comparison of conventional and cooperative multihop transmission,” in Proc. of IEEE Wireless Commun. Networking Conf. (WCNC), Las Vegas, NV, Apr. 2006, pp. 897-901.

  116. J. Zhang, T. M. Lok, “Performance analysis of multiple-relay decode-and-forward cooperation system,” in Proc. of IEEE Tencon ’05, Melbourne, Nov. 2005, pp. 1-6.