Dr. Long Shi received his Ph.D. degree from the University of New South Wales, Australia, in December 2012, under the supervision of Prof. Wei ZHANG and Prof. Xiang-Gen XIA. From 2013 to 2016, he was a postdoctoral fellow with Prof. Soung-Chang LIEW at the Institute of Network Coding, the Chinese University of Hong Kong. From 2016 to 2017, he was a lecturer at the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, China. From 2017 to 2020, he was a research fellow at the Singapore University of Technology and Design with Prof. Kui CAI. Since 2020, he has been a professor at the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China.

Research Interests

• Edge intelligence and security

Mixture of Experts, LoRa, federated learning, reinforcement learning

• Mobile edge computing and caching

Intelligent resource allocation, mobile edge computing, distributed caching

• Wireless communications and coding

MIMO detection, wireless network coding, channel coding, interference management

Professional Activities

Editor, IEEE Transactions on Cognitive Communications and Networking

Editor, Journal of Communications and Information Networks

Selected Publications

Journal Papers

1. W. Zhu, L. Shi*, K. Wei, Z. Mei, Z. Wang, J. Wang, and J. Li, “When MoE meets blockchain: A trustworthy distributed framework of large models,” IEEE Communications Magazine, 2026.

2. Z. Peng, T. Wang, C. Zhao, G. Liao, Z. Lin, Y. Liu, B. Cao, L. Shi, Q. Yang, S. Zhang, “A survey of zero-knowledge proof based verifiable machine learning,” Artificial Intelligence Review, 2026.

3. Z. Yin, Z. Wang, J. Li, L. Shi, Y. Ni, and S. Jin, “Pursuit-evasion game for UAV anti-jamming communications: An opponent modeling based reinforcement learning approach,” IEEE Transactions on Mobile Computing, 2026. 

4. L. Shi, B. Ou, K. Wei, W. Zhu, Z. Wang, and Z. Chen, “Stable-MoE: Lyapunov-based token routing for distributed mixture-of-experts training over edge networks,” IEEE Transactions on Vehicular Technology, 2026.

5. T. Wang, Y. Jin, Q. Yang, Y. Xia, L. Shi, and S. Zhang, “Zero-knowledge federated learning: A new trustworthy and privacy-preserving distributed learning paradigm,” IEEE Communications Magazine, 2026.

6. K. Wei, G. Chen, Y. Hong, L. Shi, and F. Shu, “Graph neural networks via AirComp: algorithms and performance analysis,” IEEE Wireless Communications Letters, vol. 15, pp.1499-1503, Jan. 2026.

7. Z. Pang, K. Wei, L. Shi, Z. Wang, J. Li, and F. Shu, “Low-latency federated fine-tuning for large language models over wireless networks,” IEEE Wireless Communications Letters, vol.15, pp.2179-2183, Mar. 2026.

8. X. Ai, Z. Mei, X. He, K. Cai, B. Dai, and L. Shi, “Learning to maximize mutual information for read threshold design in flash memories,” IEEE Communications Letters, vol. 30, pp. 822-826, Jan. 2026.

9. J. Chen, L. Shi*, T. Wang, J. Wang, and W. Zhang, “TDC-Cache: A trustworthy decentralized cooperative caching framework for Web3.0,” IEEE Transactions on Mobile Computing, 2025. 

10. W. Zhu, L. Shi*, K. Wei, Y. Zhou, Z. Wang, Z. Xiong, and J. Li, “Randomized DP-DFL: Towards differentially private decentralized federated learning via randomized model interaction,” IEEE Transactions on Mobile Computing, vol. 24, no. 12, pp. 12802 - 12817, Dec. 2025.

11. G. Liao, T. Wang, S. Zhang, J. Zhang, L. Shi, D. Tao, “VeriLoRA: Fine-tuning large language models with verifiable security via zero-knowledge proofs,” NDSS, 2025

12. Y. Shao, J. Li, L. Shi, K. Wei, M. Ding, Q. Li, Z. Li, W. Chen, and S. Jin, “Robust model aggregation for heterogeneous federated learning: analysis and optimizations,” IEEE Transactions on Emerging Topics in Computing, 2025. 

13. Y. Wang, Q. Huang, L. Shi, Z. Wang, S. Guo, and H. Wang, “Blockchain-aided cooperative market offering for distributed renewable energy producers,” IEEE Transactions on Network Science and Engineering, vol. 13, pp. 4578-4595, Nov. 2025.

14. X. Deng, J. Li, K. Wei, L. Shi, Z. Xiong, M. Ding, W. Chen, S. Jin, and H. Vincent Poor, “Towards communication-efficient federated learning via sparse and aligned adaptive optimization,” IEEE Transactions on Signal Processing, vol. 73, pp. 4043 - 4059, Sep. 2025.

15. B. Cao, S. Xiao, L. Shi*, T. Wang, J. Chen, J. Wang, X. Ling, H. Xu, S. Zhang, and E. Liu, “Web 3.0: A Survey on the architectures, enabling technologies, applications, and challenges,” IEEE Communications Surveys and Tutorials, vol. 28, pp. 841-881, Jul. 2025.

16. Y. Qian, Y. Bai, Z. Mei, S. Zhang, Y. Ni, L. Shi, F. Shu, “Adversarial machine learning assisted hybrid chaotic covert communication in OFDM with subcarrier index modulation,” IEEE Transactions on Communications, vol. 73, no. 11, pp. 11154 - 11169, Nov. 2025. 

17. W. Yang, L. Luo, L. Shi, J. Zheng, and Y. Zhang, “Trust-driven resource trading for DAG blockchain-aided mobile edge computing networks: A game theoretic approach，” IEEE Internet of Things Journal, vol. 13, no. 2, pp. 3459-3471, Jan. 2026. 

18. W. Niu, L. Shi*, Z. Wang, W. Yang, Y. Guo, “Blockchain-aided mobile edge intelligence with sparse rewarded computing resource allocation,” IEEE Transactions on Vehicular Technology, vol. 74, no. 9, pp. 14997-15001, Sep. 2025.

19. S. Zhang, J. Li, L. Shi*, M. Ding, D. C. Nguyen, W. Chen, and Z. Han, “Industrial metaverse: Enabling technologies, open problems, and future trends,” IEEE Communications Surveys and Tutorials, vol. 28, pp. 2771-2804, Apr. 2025.

20. C. Ni, Z. Wang, Y. Ni, J. Li, L. Shi, and S. Jin, “Fast adaptive optimization for AAV-Assisted MEC: A constrained decision transformer approach,” IEEE Wireless Communications Letters, vol. 14, no. 4, pp.1084-1088, Jan. 2025.

21. Y. Yang, L. Shi*, Z. Wang, J. Li, T. Wang, J. Wang, and B. Ji, “SpectrumBC: A blockchain-aided cooperative spectrum sensing framework,” IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 6,  pp. 3926 - 3938, Dec. 2025.

22. Y. Qian, L. Shi*, Y. Ni, X. Zhou, B. Cao, and J. Li, “CovertBC: A blockchain-aided decentralized authentication framework for Internet of Things with covert channel”, IEEE Network, 2025. 

23. F. Song, Z. Wang, J. Li, L. Shi, W. Chen and S. Jin, “Dynamic trajectory and power control in ultra-dense AAV networks: A mean-field reinforcement learning approach,” IEEE Transactions on Wireless Communications, vol. 24, no. 7, pp. 5620-5634, Jul. 2025

24. J. Zhang, J. Li, Z. Wang, L. Shi, S. Jin, W. Chen, and V. Poor, “Decision transformer for wireless communications: a new paradigm of resource management,” IEEE Wireless Communications Magazine, vol. 32, no. 2, pp.180-186, Apr. 2025. 

25. J. Chai, Z. Wang, C. Ma, G. Gao, and L. Shi, “Personalized federated reinforcement learning for Multi-UAV assisted edge computing,” IEEE Wireless Communications Letters, vol. 14, no. 7, pp. 2074-2078, Jul. 2025.

26. Z. Lin, T. Wang, S. Zhang, L. Shi, Q. Yang, and B. Dudder, “Linking souls to humans: Blockchain accounts with credible anonymity for Web 3.0 decentralized identity,” ACM WWW 2025.  

27. G. Liao, T. Wang, L. Shi, J. Zhang, Y. Xia, Q. Yang, X. Wu, and S. Zhang, “Programming on Bitcoin: A survey of Layer 1 and Layer 2 technologies in Bitcoin ecosystem,” Blockchain: Research and Applications, 100408, 2025.  

28. Z. Wang, L. Shi*, Z. Mei, X. Zhao, Z. Wang, and J. Li, “Iterative knowledge distillation and pruning for model compression in unsupervised domain adaptation,” Pattern Recognition, vol. 164, no. 111512, 2025.

29. W. Zhu, L. Shi*, J. Li, B. Cao, K. Wei, Z. Wang, T. Huang, “Trustworthy blockchain-assisted federated learning: decentralized reputation management and performance optimization,” IEEE Internet of Things Journal, vol.12, no. 3, pp. 2890-2905, Feb. 2025.

30. P. Jiang, L. Shi*, B. Cao, T. Wang, B. Ji, and J. Li, “Proof-of-Trusted-Work: A lightweight blockchain consensus for decentralized IoT networks,” Digital Communications and Networks, vol. 11, no. 4, pp. 1055-1066, 2025.

31. Z. Lin, T. Wang, L. Shi, S. Zhang, and B. Cao, “Decentralized physical infrastructure networks (DePIN): challenges and opportunities,” IEEE Network, vol. 39, no. 2, pp.91-99, Mar. 2025.

32. Z. Ren, L. Shi, Z. Wang, J. Li, and Z. Xiong, “Blockchain sharding over wireless channels: Dynamic resource allocation with sparse reward,” IEEE Wireless Communications Letters, vol.14, no. 1, pp. 63-67, Jan. 2025.

33. J. Li, W. Zhang,  K. Wei, G. Chen, L. Shi, and W. Chen, “Deploying graph neural networks in wireless networks: A link stability viewpoint,” IEEE Wireless Communications Letters, vol. 13, no. 10. pp. 2757-2761, Aug. 2024.

34. W. Yang, L. Shi, H. Liang, and W. Zhang, “Trusted mobile edge computing: DAG blockchain-aided trust management and resource allocation,” IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 5006-5018, May 2024.

35. X. Deng, J. Li, L. Shi*, K. Wei, M. Ding, Y. Shao, W. Chen, and S. Jin, “Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks,” SCIENCE CHINA Information Sciences, vol. 67, no.11, pp. 219303, Nov. 2024.

36. Y. Qian, L. Rao, C. Ma, K. Wei, M. Ding, and L. Shi, “Toward efficient and secure object detection with sparse federated training over Internet of vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 10, pp. 14507-14520, Oct. 2024.

37. L. Shi, T. Wang, Z. Xiong, Z. Wang, Y. Liu, and J. Li, “Blockchain-aided decentralized trust management of edge computing: towards reliable off-chain and on-chain trust,” IEEE Network, vol. 38, no. 5, pp. 182-188, Sep. 2024. 

38. P. Xia, J. Li, L. Shi*, B. Cao, W. Tan, J. Weng, Y. Liu, and Z. Han, “A reputation-aided lightweight consensus service framework for multi-chain metaverse,” IEEE Network, vol. 38, no. 6, pp. 201-210, Nov. 2024.

39. Y. Shao, J. Li, M. Ding, K. Wei, C. Ma, L. Shi*, W. Chen, and S. Jin, “Design of anti-plagiarism mechanisms in decentralized federated learning,” IEEE Transactions on Services Computing, vol. 17, no. 4, pp. 1465-1479, Jul.-Aug. 2024.

40. P. Chen, H. Chen, L. Shi*, Z. Lin, and Y. Li, “Initial chaotic value-based index modulation for wireless communications,” IEEE Transactions on Communications, vol. 72, no. 10, pp. 6014-6028, Oct. 2024.

41. Z. Mei, K. Cai, L. Shi, J. Li, L. Chen, and K. A. S. Immink, “Deep transfer learning-based detection for flash memory channels,”  IEEE Transactions on Communications, vol. 72, no. 6, pp. 3425-3428, Jun. 2024.  

42. S. Zhang, J. Li, L. Shi, M. Ding, W. Tan, J. Weng, and Z. Han, “Federated learning in intelligent transportation systems: recent applications and open problems,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 5, pp. 3259-3285, May 2023.

43. Y. Qian, C. Yang, Z. Mei, X. Zhou, L. Shi, and J. Li, “On joint optimization of trajectory and phase shift for IRS-UAV assisted covert communication systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 12873 - 12883, Oct. 2023. 

44. X. Deng, J. Li, C. Ma, K. Wei, L. Shi*, M. Ding, W. Chen, and H. V. Poor, “Blockchain assisted federated learning over wireless channels: dynamic resource allocation and client scheduling," IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3537-3553, May 2023.

45. H. Wang, T. Wang, L. Shi, N. Liu, S. Zhang, and Q. Chen, “A blockchain-empowered framework for decentralized trust management in Internet of Battlefield Things,” Computer Networks, vol. 237, p. 110048, 2023.

46. M. Gao, R. Shen, L. Shi, W. Qi, J. Li, and Y. Li, “Task partitioning and offloading in DNN-task enabled mobile edge computing networks,'' IEEE Transactions on Mobile Computing, vol. 22. no. 4, pp. 2435-2445, Apr. 2023. (ESI Highly Cited Paper) 

47. L. Shi, T. Wang, J. Li, S. Zhang, and Song Guo, “Pooling is not favorable: decentralize mining power of PoW blockchain using age-of-work," IEEE Transactions on Cloud Computing, vol. 11, no. 3, pp. 2756-2769, Jul.-Sep.  2023. 

48. Y. Du, Z. Wang, J. Li, L. Shi, W. Chen, and Z. Han, “Blockchain-aided edge computing market: smart contract and consensus mechanisms,'' IEEE Transactions on Mobile Computing, vol. 22, no. 6, pp. 3193-3208, Jun. 2023. 

49. X. Deng, J. Li, C. Ma, K. Wei, L. Shi, M. Ding, and W. Chen, “Low-latency federated learning with DNN partition in distributed industrial IoT networks,” IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 755-757, Mar. 2023.

50. L. Shi, T. Wang, M. Zhen, J. Li, and X.-G. Xia, "Revisiting non-coherent detection of differential PSK: A factor graph perspective," IEEE Communications Letters, vol. 27, no. 2, pp. 701-705, Feb. 2023.

51. P. Chen, L. Shi, Y. Fang, Francis C. M. Lau, and J. Chen, "Rate-diverse multiple access over Gaussian channels," IEEE Transactions on Wireless Communications, vol. 22, no. 8, pp. 5399-5413, Aug. 2023. (ESI Highly Cited Paper)

52. T. Wang, L. Shi*, H. Wang, Z. Wang, J. Li, and S. Zhang, “Building trust via blockchain in UAV-assisted ultra-dense 6G cellular networks,” IET Blockchain, vol. 2, no. 3-4, pp. 67-76, Dec. 2022. (WILEY Top Downloaded Article)

53. Z. Mei, K. Cai, L, Shi*, and J. Li, "Quantization design for resistive memories with multiple reads," IEEE Communications Letters, vol. 27, no. 3, pp. 822-826, Mar. 2023.

54. Y. Du, J. Li, L. Shi*, Z. Wang, T. Wang, and Z. Han, “A novel oracle-aided industrial IoT blockchain: architecture, challenges, and potential solutions," IEEE Network, vol. 37, no. 3, pp. 8-15, May/Jun. 2023.

55. C. Ma, J. Li, L. Shi, M. Ding, T. Wang, Z. Han, and H. V. Poor, “When federated learning meets blockchain: a new distributed learning paradigm,'' IEEE Computational Intelligence Magazine, vol. 17, no. 3, pp. 26-33, Aug. 2022. 

56. J. Li, Y. Shao, K. Wei, M. Ding, C. Ma, L. Shi*, Z. Han, and H. V. Poor, “Blockchain assisted decentralized federated learning (BLADE-FL): performance analysis and resource allocation,'' IEEE Transactions on Parallel and Distributed Systems, vol. 33. no. 10, pp. 2401-2415, Oct. 2022. (ESI Highly Cited Paper) (IEEE Comsoc: Best Readings in Privacy Preservation for Machine Learning in Communications)

57. L. Shi, K. Cai, W. Song, Z. Wang, and J. Li, “Asymmetric decentralized caching with coded prefetching under non-uniform requests,'' IEEE Systems Journal, vol. 16, no. 1, pp. 197-208, Mar. 2022.

58. K. Wang, Y. Zhou, J. Li, L. Shi, W. Chen, and L. Hanzo, “Energy-efficient task offloading in massive MIMO-aided multi-pair fog-computing networks,'' IEEE Transactions on Communications, vol. 69, no. 4, pp. 2123-2137, Apr. 2021.

59. L. Shi, K. Cai, T. Yang, T. Wang, and J. Li, “Linear network coded wireless caching in cloud radio access network,'' IEEE Transactions on Communications, vol. 69, no. 2, pp. 701-715, Feb. 2021.

60. Yu Du, J. Li, L. Shi*, T. Liu, F. Shu, and Z. Han, “Two-tier matching game in small cell networks for mobile edge computing,'' IEEE Transactions on Services Computing, vol. 15, no. 1, pp. 254-265, Jan. 2022.

61. X. Deng, J. Li, L. Shi*, Z. Wei, X. Zhou, and J. Yuan, “Wireless powered mobile edge computing: dynamic resource allocation and throughput maximization," IEEE Transactions on Mobile Computing, vol. 21, no. 6, pp. 2271-2288, Jun. 2022. (TMC Top 50 Popular Articles)

62. Y. Qian, L. Shi, J. Li, Z. Wang, H. Guan, F. Shu, and H. V. Poor, “A workflow-aided internet of things paradigm with intelligent edge computing,'' IEEE Network, vol. 34, no. 6, pp. 92-99, Nov. 2020.

63. T. Wang, L. Shi*, K. Cai, L. Tian, and S. Zhang, ``Non-coherent NOMA with massive MIMO,'' IEEE Wireless Communications Letters, vol. 9, no.2, pp.134-138, Feb. 2020.

64. Y. Qian, L. Shi, L. Shi*, K. Cai, J. Li, and F. Shu, ``Cache-enabled power line communication networks in smart grid: caching node selection and backhaul energy optimization,'' IEEE Transactions on Green Communication and Networking, vol. 4, no. 2, pp. 606-615, Jun. 2020.

65. Y. Qian, Shi Li, L. Shi*, J. Li, F. Shu, N. K. Jayakody, and J. Yuan, ``Cache-enabled MIMO power line communications with precoding design in smart grid," IEEE Transactions on Green Communication and Networking, vol. 4, no. 1, pp. 315-325, Mar. 2020.

66. Y. Qian, L. Shi*, J. Li, X. Zhou, F. Shu, and J. Wang, ``An edge-computing paradigm for Internet of Things over power line communication networks,'' IEEE Network, vol. 34, no. 2, pp. 262-269, Feb. 2020.

67. Q. Liu, L. Shi, L. Sun, J. Li, M. Ding, and F. Shu, ``Path planning for UAV-mounted mobile edge computing with deep reinforcement learning,'' IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5723-5728, May 2020. (ESI Highly Cited Paper)

68. Z. Mei, K. Cai, L. Shi, and X. He, ``On channel quantization for spin-torque transfer magnetic random access memory,'' IEEE Transactions on Communications, vol. 67, no. 11, 7526-7539, Nov. 2019.

69. P. Wu, J. Li, L. Shi*, M. Ding, K. Cai, and F. Yang, ``Dynamic content update for wireless edge caching via deep reinforcement learning,'' IEEE Communications Letters, vol. 23, no. 10, pp. 1773-1777, Oct. 2019.

70. Y. Qian, F. Wang, J. Li, L. Shi*, K. Cai, and F. Shu, ``User association and path planning for UAV-aided mobile edge computing with energy restriction,'' IEEE Wireless Communications Letters, vol. 8, no. 5, pp. 1312-1315, Oct. 2019. (WCL Top 50 Popular Articles)

71. T. Wang, L. Shi*, S. Zhang, and H. Wang, ``Gaussian mixture message passing for blind known interference cancellation,'' IEEE Transactions on Wireless Communications, vol. 18, no. 9, pp. 4268-4282, Sep. 2019.

72. F. Song, J. Li, M. Ding, L. Shi*, F. Shu, M. Tao, W. Chen, and H. Vincent Poor, ``Probabilistic caching for small-cell networks with terrestrial and aerial users,'' IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9162-9177, Sep. 2019.

73. Z. Xie, P. Chen, Z. Mei, L. Shi*, K. Cai, and Y. Fang, ``Polar-coded physical layer network coding over two-way relay channels,'' IEEE Communications Letters, vol. 23, no. 8, pp. 1301-1305, Aug. 2019.

74. P. Chen, L. Shi*, S. C. Liew, Y. Fang, and K. Cai, ``Channel decoding for nonbinary physical-layer network coding in two-way relay systems,'' IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 628-640, Jan. 2019.

75. L. Shi, T. Yang, K. Cai, P. Chen, and T. Guo, ``On MIMO linear physical-layer network coding: full-rate full-diversity design and optimization,''  IEEE Transactions on Wireless Communications, vol. 17, no. 5, pp. 3498-3511, Mar. 2018.

76. P. Chen, L. Shi, Yi Fang, G. Cai, L. Wang, and G. Chen, ``A coded DCSK modulation system over Rayleigh fading channels,'' IEEE Transactions on Communications, vol. 66, no. 9, pp.3930-3942, Apr. 2018.

77. Q. Xu, Lei Xing, Z. Tian, Y. Zhao, X. Chen, L. Shi, and Yi Huang, ``Statistical distribution of the enhanced backscatter coefficient in reverberation chamber,'' IEEE Transactions on Antennas and Propagation, vol. 66, no. 4, pp. 2161-2164, Apr. 2018.

78. L. Shi and S. C. Liew, ``Complex linear physical-layer network coding,'' IEEE Transactions on Information Theory, vol. 63, no. 8, pp. 4949-4981, Aug. 2017.

79. L. Shi, Soung Chang Liew, and Lu Lu, ``On the subtleties of q-PAM linear physical-layer network coding,'' IEEE Transactions on Information Theory, vol. 62, no. 5, pp. 2520-2544, Mar. 2016.

80. T. Wang, S. C. Liew, and L. Shi, ``Optimal rate-diverse wireless network coding,'' IEEE Transactions on Communications, vol. 65, no. 6, pp, 2411-2426, Jun. 2017.

81. P. Chen, S. C. Liew, and L. Shi, ``Bandwidth-efficient coded modulation schemes for physical-layer network coding with high-order modulations,'' IEEE Transactions on Communications, vol. 65, no. 1, pp. 147-160, Jan. 2017.

82. B. Liu, L. Shi, and X.-G. Xia, ``Robust rank-two multicast beamforming under a unified CSI uncertainty model,'' IEEE Signal Processing Letter, vol. 23, no. 10, pp. 1419-1423, Oct. 2016.

83. L. Shi, W. Zhang, and X.-G. Xia, ``Space-time block code designs for two-user MIMO X channels,''  IEEE Transactions on Communications, vol. 61, no. 9, pp. 3806-3815, Sep. 2013.

84. L. Shi, W. Zhang, and X.-G. Xia, ``Space-frequency codes for MIMO-OFDM systems with partial interference cancellation group decoding,'' IEEE Transactions on Communications, vol. 61, no. 8, pp. 3270-3280, Aug. 2013.

85. L. Shi, W. Zhang, and X.-G. Xia, ``On designs of full diversity space-time block codes for two-user MIMO interference channels,''  IEEE Transactions on Wireless Communications, vol. 11, no. 11, pp. 4184-4191, Nov. 2012.

86. L. Shi, Wei Zhang, and Xiang-Gen Xia, ``High-rate and full-diversity space-time block codes with low complexity partial interference cancellation group decoding,''  IEEE Transactions on Communications, vol. 59, no. 5, pp. 1201-1207, May 2011.

Conference Papers

1. S. Liu, Z. Wang, X. Wang, and L. Shi, "Cooperative Resource Optimization in Wireless Multi-UAV networks: A Teammate-Advisory Reinforcement Learning Approach," in Proc. IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2025. (Best Paper Award)

2. W. Zhu, H. Wang, L. Shi, K. Wei, C. Ma, Z. Wang, and F. Shu, "Towards Communication-Efficient Federated Learning via Loss-aware Quantization," in Proc. IEEE International Conference on Computer Communication and Artificial Intelligence (CCAI), 2025. (Best Student Paper Award)

3. J. Chen, L. Shi, X. Zhou, Y. Shao, and T. Huang, "Decentralized Cooperative Caching for Web3.0: Framework Design and Latency Optimization", in Proc. IEEE ICCC, 2025.

4. Z. Wang, L. Shi, Z. Mei, X. Zhao, Z. Wang, and J. Li, "Iterative transfer knowledge distillation and channel pruning for unsupervised cross-domain compression," in Proc. CCF Web lnformaiton Systems and Application (WlSA), 2024. (Best Paper Award)

5. J. Zhang, J. Li, Z. Wang, Y. Han, L. Shi, and B. Cao, "Decision Transformer for IRS-Assisted Systems with Diffusion-Driven Generative Channels", in Proc. IEEE ICCC, 2024. (Best Paper Award)

6. Y. Yang, L. Shi, J. Li, T. Wang, Z. Wang, B. Cao, and C. Ma, Blockchain-aided Cooperative Spectrum Sensing: Decentralized Reputation Management and Performance Optimization,” in Proc. IEEE GLOBECOM, 2023.

7. C. Jin, T. Wang, Z. Wang, L. Shi, and S. Zhang, “First-price sealed-bid auction for Ethereum gas auction under Flashbots,” in Proc. IEEE MetaCom, 2023.

8. X. Deng, J. Li, L. Shi, Z. Wang, H. Wang, and T. Wang, ``On dynamic resource allocation for blockchain assisted federated learning over wireless channels,'' in Proc. IEEE CPSCOM, 2021 (Best Paper Award).

9. L. Shi, C. Kui, and Z. Mei, ``Linear network coded computation in mobile edge computing,'' in Proc. IEEE GLOBECOM, 2019.

10. Z. Mei, C. Kui, and L. Shi, ``Information theoretic bounds based channel quantization design for emerging memories,'' in Proc. IEEE ITW, 2018.

11. L. Shi, C. Kui, T. Yang, and T. Wang, ``Linear network coded wireless caching,'' in Proc. IEEE ICC-ICECC Workshop, 2018.

12. C. Zhai, L. Shi, and H. Chen, ``Underlay spectrum sharing with wireless power transfer towards primary user,'' in Proc. IEEE International Conference on Wireless Communications and Signal Processing (WCSP), 2017.

13. L. Shi, T. Yang, and X.-G. Xia, ``Optimized linear physical-layer network coding of full-rate full-diversity in MIMO two-way relay networks,'' in Proc. IEEE ICC, 2017.

14. L. Shi, W. Zhang, and X.-G. Xia, ``Full-diversity STBC designs for two-user MIMO X channels,'' in Proc. IEEE International Conference on Communications (ICC), Budapest, Hungary, June 9-13, 2013.

15. L. Shi, W. Zhang, and X.-G. Xia, ``On space-time block codes for two-user MIMO interference channels,'' in Proc. IEEE Global Communications Conference (GLOBECOM) - BWA Workshop, Anaheim, USA, Dec. 3, 2012.

16. L. Shi, W. Zhang, and X.-G. Xia, ``On space-frequency code design with partial interference cancellation group decoding,'' in Proc. IEEE GLOBECOM, Houston, USA, Dec. 5-9, 2011.

17. L. Shi, W. Zhang, and P. C. Ching, ``Single-symbol decodable distributed STBC for two path successive relay networks,'' in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011.

18. L. Shi, W. Zhang, and X.-G. Xia, ``A design of high-rate full-diversity STBC with low complexity PIC group decoding,'' in Proc. IEEE GLOBECOM, Miami, USA, Dec. 6-10, 2010.

19. W. Zhang, L. Shi, and X.-G. Xia, ``A systematic design of space-time block codes with reduced-complexity partial interference cancellation group decoding,'' in Proc. IEEE International Symposium on Information (ISIT), Austin, TX, USA, June 13-18, 2010, pp. 1066-1070.