PUBLICATIONS

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

In the Pipeline…

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

2. Y. Jiang, J. Su, Y. Shi, and H. Boris, “Distributed optimization for massive connectivity,” submitted.

3. Z. Wang, Y. Shi, Y. Zhou, H. Zhou, and N. Zhang, “Wireless-powered over-the-air computation in intelligent reflecting surface aided IoT networks,” submitted.

4. 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]

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

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

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

8. S. Xia and Y. Shi, “Learning polynomial neural networks via provable gradient descent with random initialization,” submitted.

9. H. Choi, T. Jiang, and Y. Shi, “Large-scale beamforming for massive MIMO via randomized sketching,” submitted. [paper]

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

11. X. Yang, T. Jiang, Y. Shi, and H. Wang, “An inexact iteratively reweighted approach for efficient neuron pruning,” submitted.

Books

1. Y. Shi, J. Dong, and J. Zhang, Low-overhead Communications in IoT Networks: Structured Signal Processing Approaches, Springer, 2020.

Journal Articles

1. 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. [paper]

2. K. Yang, Y. Zhou, Z. Yang, and Y. Shi, “Communication efficient edge inference for AI services via intelligent reflecting surface,” ZTE Commun..

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.

4. 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]

5. M. C. Tsakiris, L. Peng, A. Conca, L. Kneip, Y. Shi, and H. Choi, “An algebraic-geometric approach to shuffled linear regression,” IEEE Trans. Inf. Theory. [paper]

6. H. Choi, S. Kim, and Y. Shi, “Geometric mean of partial positive definite matrices with missing entries,” Linear Multilinear Algebra. [paper]

7. 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]

8. 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]

9. 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]

10. 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]

11. 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]

12. 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]

13. 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]

14. 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]

15. 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]

16. 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]

17. 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]

18. 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]

19. 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]

20. 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]

21. 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]

22. 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]

23. 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]

24. 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]

25. 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]

26. 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]

27. 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)

28. 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]

29. 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]

30. 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]

31. 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)

Conference Papers

1. Y. Shi, S. Xia, Y. Zhou, and Y. Shi, “”Sparse signal processing for massive device connectivity via deep learning,”, in Proc. IEEE Int. Conf. Commun. (ICC) Workshops, Dublin, Ireland, Jun. 2020.

2. S. Xia and Y. Shi, “Intelligent reflecting surface for massive device connectivity: joint activity detection and channel estimation,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Barcelona, Spain, May 2020.

3. 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.

4. Q. An, Y. Shi and Y. Zhou, “Reconfigurable intelligent surface assisted non-orthogonal unicast and broadcast transmission,” in Pro. IEEE Veh. Technol. Conf. (VTC), Antwerp, Belgium, May 2020.

5. J. He, M. Fu, K. Yu and Y. Shi , “Phase retrieval via difference of convex programming,” in Pro. IEEE Veh. Technol. Conf. (VTC), Antwerp, Belgium, May 2020.

6. Z. Wang, Y. Shi and Y. Zhou, “Wirelessly powered data aggregation via intelligent reflecting surface assisted over-the-air computation,” in Pro. IEEE Veh. Technol. Conf. (VTC), Antwerp, Belgium, May 2020.

7. J. He, K.Yu and Y. Shi, “Coordinated passive beamforming for distributed intelligent reflecting surfaces network,” in Pro. IEEE Veh. Technol. Conf. (VTC), Antwerp, Belgium, May 2020.

8. S. Sun, M. Fu, Y. Shi and Y. Zhou, “Towards reconfigurable intelligent surfaces powered green wireless networks,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Seoul, South Korea, Apr. 2020.

9. K. Yang, T. Fan, T. Chen, Y. Shi and Q. Yang, “A quasi-Newton method based vertical federated learning framework for logistic regression,” in Proc. Neural Inf. Process. Syst. (NeurIPS) Workshops, Vancouver, Canada, Dec. 2019.

10. M. Fu, Y. Zhou, and Y. Shi, “Intelligent reflecting surface for downlink non-orthogonal multiple access networks,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, Waikoloa, Hawaii, USA, Dec. 2019.

11. S. Hua and Y. Shi, “Reconfigurable intelligent surface for green edge inference in machine learning,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, Waikoloa, Hawaii, USA, Dec. 2019.

12. Y. Shi and Y. Shi, “Learning to branch-and-bound for header-free communications,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, Waikoloa, Hawaii, USA, Dec. 2019.

13. Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “A graph neural network approach for scalable wireless power control,” in Proc. IEEE Global Commun. Conf. (Globecom) Workshops, Waikoloa, Hawaii, USA, Dec. 2019.

14. T. Jiang and Y. Shi, “Over-the-air computation via intelligent reflecting surfaces,” in Proc. IEEE Global Commun. Conf. (Globecom), Waikoloa, Hawaii, USA, Dec. 2019.

15. H. Choi, T. Jiang, W. Li, and Y. Shi, “Randomized sketching based beamforming for massive MIMO,” in Proc. IEEE Global Commun. Conf. (Globecom), Waikoloa, Hawaii, USA, Dec. 2019.

16. S. Hua, K. Yang, and Y. Shi, “On-device federated learning via second-order optimization with over-the-air computation,” in Pro. IEEE Veh. Technol. Conf. (VTC), Honolulu, Hawaii, USA, Sept. 2019.

17. M. Fu and Y. Shi, “Blind deconvolution meets phase retrieval in optical wireless communications,” in Pro. IEEE Veh. Technol. Conf. (VTC), Honolulu, Hawaii, USA, Sept. 2019.

18. M. Fu, J. Dong, and Y. Shi, “Sparse blind demixing for low-latency wireless random access with massive connectivity,” in Pro. IEEE Veh. Technol. Conf. (VTC), Honolulu, Hawaii, USA, Sept. 2019.

19. S. Hua, X. Yang, K. Yang, G. Yin, Y. Shi, and H. Wang, “Deep learning tasks processing in Fog-RAN,” in Pro. IEEE Veh. Technol. Conf. (VTC), Honolulu, Hawaii, USA, Sept. 2019.

20. L. Peng, X. Song, M. Tsakiris, H. Choi, L. Kneip, and Y. Shi, “Algebraically-initialized expectation maximization for header-free communication,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Brighton, UK, May 2019.

21. S. Xia and Y. Shi, “Learning shallow neural networks via provable gradient descent with random initialization,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Brighton, UK, May 2019.

22. J. Dong, Y. Shi, and Z. Ding, “Sparse blind demixing for low-latency signal recovery in massive IoT connectivity,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Brighton, UK, May 2019.

23. T. Jiang, X. Yang, Y. Shi, and H. Wang, “Layer-wise deep neural network pruning via iteratively reweighted optimization,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Brighton, UK, May 2019.

24. T. Jiang, K. Yang, and Y. Shi, “Pliable data shuffling for on-device distributed learning,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Brighton, UK, May 2019.

25. 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.

26. K. Yang, T. Jiang, Y. Shi, and Z. Ding, “Federated learning based on over-the-air computation,” in Proc. IEEE Int. Conf. Commun. (ICC), Shanghai, China, May 2019.

27. K. Yu, J. He, and Y. Shi, “Stochastic submodular maximization for scalable network adaptation in dense Cloud-RAN,” in Proc. IEEE Int. Conf. Commun. (ICC), Shanghai, China, May 2019.

28. J. Dong and Y. Shi, “Blind demixing via Wirtinger flow with random initialization,” in Proc. Int. Conf. Artificial Intell. Stat. (AISTATS), Naha, Okinawa, Japan, Apr. 2019.

29. 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.

30. H. Choi, X. Song, and Y. Shi, “Randomized method for estimating the von Neumann entropy of large-scale density matrices,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Anaheim, CA, Nov. 2018.

31. T. Jiang and Y. Shi, “Sparse and low-rank optimization for pliable index coding,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Anaheim, CA, Nov. 2018.

32. T. Jiang and Y. Shi, “Phase transitions of massive device connectivity via convex geometry,” in Pro. IEEE Veh. Technol. Conf. (VTC), Chicago, USA, Aug. 2018.

33. Q. Wu, F. Zhang, H. Wang, and Y. Shi, “Generalized low-rank matrix completion via nonconvex Schatten p-norm minimization,” in Pro. IEEE Veh. Technol. Conf. (VTC), Chicago, USA, Aug. 2018.

34. F. Zhang, Q. Wu, H. Wang, and Y. Shi, “L2-Box optimization for green Cloud-RAN via network adaptation,” in Pro. IEEE Veh. Technol. Conf. (VTC), Chicago, USA, Aug. 2018.

35. F. Zhang, Q. Wu, H. Wang, and Y. Shi, “Topological interference alignment via generalized low-rank optimization with sequential convex approximations,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Kalamata, Greece, Jun. 2018.

36. J. Dong, and Y. Shi, “Nonconvex demixing from bilinear measurements,” in Proc. IEEE Int. Sump. Inform. Theory (ISIT), Colorado, USA, Jun. 2018.

37. X. Song, H. Choi, and Y. Shi, “Permuted linear model for header-free communication via symmetric polynomials,” in Proc. IEEE Int. Symp. Inform. Theory (ISIT), Colorado, USA, Jun. 2018.

38. H. Choi, Y. Shen, and Y. Shi, “Comparing massive networks via moment matrices,” in Proc. IEEE Int. Symp. Inform. Theory (ISIT), Colorado, USA, Jun. 2018.

39. K. Yang, Y. Shi, and Z. Ding, “Low-rank optimization for data shuffling in wireless distributed computing,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Alberta, Canada, Apr. 2018.

40. J. Dong, K. Yang, and Y. Shi, “Blind demixing for low-latency communication,” in Proc. IEEE Wireless Commun. Networking Conf. (WCNC), Barcelona, Spain, Apr. 2018.

41. J. Dong, K. Yang, and Y. Shi, “Ranking from crowdsourced pairwise comparisons via smoothed matrix manifold optimization,” in ICDM Workshops on Data-driven Discovery of Models (D3M), New Orleans, Louisiana, USA, Nov. 2017.

42. K. Yang, Y. Shi, and Z. Ding, “Generalized matrix completion for low complexity transceiver processing in cache-aided Fog-RAN via the Burer-Monteiro approach,” in Proc. IEEE Global Conf. Signal and Inf. Process. (GlobalSIP), Montreal, Canada, Nov. 2017.

43. Y. Shi, B. Mishra, X. Liu, and W. Chen, “A sparse and low-rank optimization framework for network topology control in dense Fog-RAN,” in Pro. IEEE Veh. Technol. Conf. (VTC), Sydney, Australia, Jun. 2017.

44. 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.

45. Y. Shi and B. Mishra, “Sparse and low-rank decomposition for big data systems via smoothed Riemannian optimization,” in Proc. Neural Inf. Process. Syst. (NeurIPS) Workshops, Barcelona, Spain, Dec. 2016.

46. 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.

47. 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.

48. K. Yang, Y. Shi, and Z. Ding, “Low-rank matrix completion for mobile edge caching in Fog-RAN via Riemannian optimization,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Washington, DC, Dec. 2016.

49. 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. Inform. Theory (ISIT), Barcelona, Spain, Jul. 2016.

50. J. Cheng, Y. Shi, B. Bai, and W. Chen, “Computation offloading in Cloud-RAN based mobile cloud computing system,” in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016.

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

52. 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.

53. Y. Shi, J. Zhang, and K. B. Letaief, “Scalable coordinated beamforming for dense wireless cooperative networks,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Austin, TX, Dec. 2014.

54. 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.

55. Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green cloud radio access networks,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Atlanta, GA, Dec. 2013.

56. Y. Shi, J. Zhang, and K. B. Letaief, “Coordinated relay beamforming for amplify-and-forward two-hop interference networks,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Anaheim, CA, Dec. 2012. [paper]