PUBLICATIONS

“After writing a story I was always empty and both sad and happy.” — by Ernest Hemingway, “A Moveable Feast"

Large-Scale Optimization

‘‘Learning, Data, Stochastic”

Journal Articles

  1. J. Dong, J. Zhang, Y. Shi, and H. Wang, “Faster activity and data detection in massive random access: a multi-armed bandit approach,” submitted. [paper]

  2. H. Wang, F. Zhang, Q. Wu, Y. Hu, and Y. Shi, “Nonconvex and nonsmooth sparse optimization via adaptively iterative reweighted methods,” submitted. [paper]

  3. J. Dong, K. Yang, and Y. Shi, “Ranking from crowdsourced pairwise comparisons via smoothed Riemannian optimization,” ACM Trans. Knowl. Discovery Data.,vol. 14, no. 2, pp. 1-26, Feb. 2020. [paper][codes]

  4. 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]

  5. H. Choi, J. He, H. Hu, and Y. Shi, “Fast computing von Neumann entropy for large-scale graphs via quadratic approximations,” Linear Algebra Appl., vol. 585, pp. 127-146, Jan. 2020. [paper]

  6. H. Choi, H. Lee, Y. Shen, and Y. Shi, “Comparing large-scale graphs based on quantum probability theory,” Appl. Math. Comput., vol. 358, pp. 1-15, Oct. 2019. [paper]

  7. H. Choi, S. Kim, and Y. Shi, “Geometric mean of partial positive definite matrices with missing entries,” Linear Multilinear Algebra, pp. 1-26, Mar. 2019. [paper]

Edge Artificial Intelligence

‘‘Training, Inference, Wireless”

Books

  1. Y. Shi, K. Yang, Z. Yang, and Y. Zhou, Mobile Edge Artificial Intelligence: Opportunities and Challenges, Elsevier, Feb. 2021, in preparation.

Magazine/Survey Papers

  1. Y. Shi, K. Yang, T. Jiang, J. Zhang, and K. B. Letaief, “Communication-efficient edge AI: algorithms and systems,” IEEE Commun. Surveys Tuts. [paper] [slides]

  2. K. Yang, Y. Zhou, Z. Yang, and Y. Shi, “Communication-efficient edge AI inference over wireless networks,” ZTE Commun. [paper]

  3. K. Yang, Y. Shi, Y. Zhou, Z. Yang, L. Fu, and W. Chen, “Federated machine learning for intelligent IoT via reconfigurable intelligent surface,” IEEE Netw. [paper]

  4. K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y. Zhang, “The roadmap to 6G - AI empowered wireless networks,” IEEE Commun. Mag., vol. 57, no. 8, pp. 84-90, Aug. 2019. [paper]

Journal Articles

  1. S. Hua, Y. Zhou, K. Yang, and Y. Shi, “Reconfigurable intelligent surface for green edge inference,” submitted. [paper]

  2. X. Yang, T. Jiang, Y. Shi, and H. Wang, “An inexact iteratively reweighted approach for efficient neuron pruning,” IEEE Trans. Comput.

  3. K. Yang, Y. Shi, W. Yu, and Z. Ding, “Energy-efficient processing and robust wireless cooperative transmission for edge inference,” IEEE Internet of Things J.. [paper]

  4. X. Yang, S. Hua, Y. Shi, H. Wang, J. Zhang, and K. B. Letaief, “Sparse optimization for green edge AI inference,” J. Commun. Information Netw., vol. 5, no. 1, Mar. 2020. [paper][codes]

  5. K. Yang, T. Jiang, Y. Shi, and Z. Ding, “Federated learning via over-the-air computation,” IEEE Trans. Wireless Commun., vol. 19, no. 3, pp. 2022-2035, Mar. 2020. [paper][codes]

  6. K. Yang, Y. Shi, and Z. Ding, “Data shuffling in wireless distributed computing via low-rank optimization,” IEEE Trans. Signal Process., vol. 67, no. 12, pp. 3087-3099, Jun., 2019. [paper] [codes]

Internet of Things

‘‘Access, AirComp, Demixing”

Books

  1. Y. Shi, J. Dong, and J. Zhang, Low-overhead Communications in IoT Networks: Structured Signal Processing Approaches, Springer, Apr. 2020. [book] [website] [codes]

Journal Articles

  1. M. C. Tsakiris, L. Peng, A. Conca, L. Kneip, Y. Shi, and H. Choi, “An algebraic-geometric approach for linear regression without correspondences,” IEEE Trans. Inf. Theory. [paper]

  2. Z. Wang, Y. Shi, Y. Zhou, H. Zhou, and N. Zhang, “Wireless-powered over-the-air computation in intelligent reflecting surface aided IoT networks,” IEEE Internet of Things J.

  3. Y. Jiang, J. Su, Y. Shi, and B. Houska, “Distributed optimization for massive connectivity,” IEEE Wireless Commun. Lett.

  4. J. Dong, Y. Shi, and Z. Ding, “Blind over-the-air computation and data fusion via provable Wirtinger flow,” IEEE Trans. Signal Process.,vol. 68, pp. 1136-1151, Feb. 2020. [paper][codes]

  5. 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] [codes]

  6. J. Dong, K. Yang, and Y. Shi, “Blind demixing for low-latency communication,” IEEE Trans. Wireless Commun., vol. 18, no. 2, pp. 897-911, Feb., 2019. [paper] [codes]

  7. J. Dong and Y. Shi, “Nonconvex demixing from bilinear measurements,” IEEE Trans. Signal Process., vol. 66, no. 19, pp. 5152-5166, Oct., 2018. [paper] [codes]

Ultra-Dense Wireless Networks

‘‘Cloud-RAN, Meta-Surface”

Book Chapters

  1. Y. Shi, K. Yang, and Y. Yang, “Generalized Low-Rank Optimization for Ultra-Dense Fog-RANs,” in Ultra Dense Networks: Principles and Technologies, Cambridge University Press, 2020. [chapter]

  2. 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. [chapter]

Magazine Papers

  1. X. Yuan, Y. Zhang, Y. Shi, W. Yan, and H. Liu, “Reconfigurable-intelligent-surface empowered 6G wireless communications: challenges and opportunities,” submitted. [paper]

  2. 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] [slides I] [slides II]

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

Journal Articles

  1. H. Choi, T. Jiang, Y. Shi, X. Liu, and K. B. Letaief, “Large-scale beamforming for massive MIMO via randomized sketching,” submitted. [paper]

  2. M. Fu, Y. Zhou, Y. Shi, and K. B. Letaief, “Reconfigurable intelligent surface empowered downlink non-orthogonal multiple access,” submitted. [paper]

  3. Y. Zhou, J. Li, Y. Shi, and V. W. Wong, “Flexible functional split design for downlink C-RAN with capacity-constrained fronthaul,” IEEE Trans. Veh. Technol., vol. 68, no. 6, pp. 6050-6063, Jun., 2019. [paper]

  4. K. Yang, Y. Shi, and Z. Ding, “Generalized low-rank optimization for topological cooperation in ultra-dense networks,” IEEE Trans. Wireless Commun., vol. 18, no. 5, pp. 2539-2552, May, 2019. [paper] [codes]

  5. 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. [paper]

  6. 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]

  7. Y. Shi, B. Mishra, and W. Chen, “Topological interference management with user admission control via Riemannian optimization,” IEEE Trans. Wireless Commun., vol. 16, no. 11, pp. 7362-7375, Nov. 2017. [paper] [codes]

  8. 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]

  9. 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]

  10. 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]

  11. 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)

  12. 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]

  13. 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]

  14. 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)