教育背景

博士，电子工程，美国Texas A&M University，2014-2017

硕士，电子与计算机工程，加拿大McMaster University，2011-2013

学士，信息工程，东南大学，2007-2011

工作经历

助理教授，上海交通大学，2017-2020

副教授，上海交通大学，2020-2025

副教授，BWIN官网，2025-至今

科研项目

[1] 国家自然科学基金面上项目，62471294，《面向非平稳分布信源信道的适变数字语义通信理论与方法》，主持，2025.01-2028.12.

[2] 国家自然科学基金青年项目，61901261，《具有分集与安全功能的再生码研究》，主持，2020.1-2022.12.

[3] 上海市启明星培育扬帆专项，19YF1424200，《分布式安全存储再生码》，主持，2019.5- 2022.4.

[4] 航天八院-上海交通大学联合基金项目，《基于迁移学习的小样本空间飞行器识别方法》，主持，2022.1-2024.1.

[5] 国家自然科学基金重点项目，62231022，《语义通信的信息理论与技术》，交大课题负责人，2023.1-2027.12，金额112万.

[6] 国家重点研发计划青年科学家项目，2024YFF0509700，《意图驱动的智简编码传输机理》，参与，2024.12-2027.11.

[7] 国家自然科学基金委数学天元基金项目，12426302，《代数方法与智能编码融合的信道编译码理论与算法》，参与，2025.01-2026.12.

[8] 国家自然科学基金重点项目，12031011，《现代密码学中的数学基础》，参与，2021.01-2025.12.

[9] 科技部重点研发专项，2020YFA0712300，《安全多方计算与私人信息提取的理论及应用》，参与，2020.12-2025.11.

[10] 国家自然科学基金专项项目，61941106，《空地一体化无线信息网络与通信融合信息理论研究》，参与，2020.1-2022.12.

[11] 国家自然科学基金面上项目，61872149，《面向多目标群智感知的任务分配算法研究》，交大课题负责人，2019.1-2022.12.

论文

(1) S. Shao*, T. Liu, C. Tian and C. Shen, On the Tradeoff Region of Secure Exact-Repair Regenerating Codes, in IEEE Transactions on Information Theory, vol. 63, no. 11, pp. 7253-7266, Nov. 2017. (CCF-A类期刊)

(2) J. Liu, S. Shao(共同一作), W. Zhang and H. V. Poor, An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation, in IEEE Transactions on Communications, vol. 70, no. 9, pp. 5946-5959, Sept. 2022. (SCI一区)

(3) S. Shao*, J. Gómez-Vilardebó, K. Zhang and C. Tian, On the Fundamental Limits of Coded Caching Systems With Restricted Demand Types, in IEEE Transactions on Communications, vol. 69, no. 2, pp. 863-873, Feb. 2021. (SCI一区)

(4) S. Shao, Y. Shi, J. Dang and Z. Zhang, On the Capacity Region of Optical Mobile Communication Systems With Spatial Light Modulation, in IEEE Transactions on Vehicular Technology, early access. (SCI一区)

(5) S. Shao, T, Liu, C. Tian, and C. Shen, New results on multilevel diversity coding with secure regeneration,  in Science China Information Science, 61, 100307, 2018. (CCF-A类期刊)

(6) S. Shao*, T. Liu, C. Tian and C. Shen, “Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point”, in Journal of Entropy, vol. 20, no. 10, Sept. 2018. 

(7) Y. Bo, S. Shao* and M. Tao, Deep Learning Based Superposition Coded Modulation for Hierarchical Semantic Communications over Broadcast Channels, in IEEE Transactions on Communications, early access. 

(8) Y. Bo, Y. Duan, S. Shao* and M. Tao, Joint Coding-Modulation for Digital Semantic Communications via Variational Autoencoder, in IEEE Transactions on Communications, vol. 72, no. 9, pp. 5626-5640, Sept. 2024. 

(9) K. Ma, Y. Xu and S. Shao*, Hierarchical Rate Splitting to General MIMO Fading Channels, in IEEE Transactions on Communications, early access. 

(10) H. Yang, Y. Shi, S. Shao* and X. Yuan, Indirect Lossy Source Coding with Observed Source Reconstruction: Nonasymptotic Bounds and Second-Order Asymptotics, in IEEE Transactions on Communications, early access. 

(11) K. Ma, Y. Shi, S. Shao* and M. Tao, A deep learning based broadcast approach for image semantic communication over fading channels, in China Communications, vol. 21, no. 7, pp. 78-94, July 2024.

(12) F. Xu, S. Shao*, M. Tao, Q. Huang, Q. Yan and X. Tang, Coded multicasting for content delivery over predictable time-varying satellite communication networks, in China Communications, vol. 20, no. 6, pp. 339-367, June 2023.

(13) H. Zhang, S. Shao*, M. Tao*, X. Bi and K. B. Letaief, Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data, in IEEE Journal on Selected Areas in Communications, vol. 41, no. 1, pp. 170-185, Jan. 2023. 

(14) Y. Shi, S. Shao*, Y. Wu*, W. Zhang, X. -G. Xia and C. Xiao, Excess Distortion Exponent Analysis for Semantic-Aware MIMO Communication Systems, in IEEE Transactions on Wireless Communications, vol. 22, no. 9, pp. 5927-5940, Sept. 2023. 

(15) K. Ma, Y. Xu, S. Shao*, Y. Wu*. On the optimization problem in fading Gaussian MIMO wiretap channels.  in China Science Information Science, 2022,52(2):239-252.

(16) F. Xu, S. Shao* and M. Tao*, New Results on the Computation-Communication Tradeoff for Heterogeneous Coded Distributed Computing, in IEEE Transactions on Communications, vol. 69, no. 4, pp. 2254-2270, April 2021.

(17) N. Wang, S. Xu, C. Qin, S. -J. Lin, S. Shao and Y. S. Han, High-Capacity Framework for Reversible Data Hiding Using Asymmetric Numeral Systems, in IEEE Transactions on Knowledge and Data Engineering, early access, doi: 10.1109/TKDE.2024.3438943.

(18) J. Gao, Y. Wu, S. Shao, W. Yang and H. V. Poor, Energy Efficiency of Massive Random Access in MIMO Quasi-Static Rayleigh Fading Channels With Finite Blocklength, in IEEE Transactions on Information Theory, vol. 69, no. 3, pp. 1618-1657, March 2023. 

(19) N. Zhang, M. Tao, J. Wang and S. Shao, Coded Over-the-Air Computation for Model Aggregation in Federated Learning, in IEEE Communications Letters, vol. 27, no. 1, pp. 160-164, Jan. 2023. 

(20) J. Yang, H. Li, S. Shao, F. Zou, Y. Wu, FS-IDS: A framework for intrusion detection based on few-shot learning. In Comput. Secur., 122, 102899, 2022.

(21) L. Song, S. Shao and J. Chen, A Lower Bound on the Sum Rate of Multiple Description Coding With Symmetric Distortion Constraints, in IEEE Transactions on Information Theory, vol. 60, no. 12, pp. 7547-7567, Dec. 2014.

(22) J. Shao, X. Yan, S. Shao, SNR of DNA sequences mapped by general affine transformations of the indicator sequences. In Journal of Mathematical Biology, 2013, 67(2).

(23) S. Shao, J. Gómez-Vilardebó, K. Zhang and C. Tian, “On the Fundamental Limit of Coded Caching Systems with a Single Demand Type”, 2019 IEEE Information Theory Workshop (ITW), Visby, 2019.

(24) S. Shao*, T. Liu, C. Tian and C. Shen, New Results on Multilevel Diversity Coding with Secure Regeneration, 2018 IEEE International Symposium on Information Theory (ISIT), Vail, CO, 2018, pp. 1899-1903.

(25) S. Shao*, T. Liu, C. Tian and C. Shen, On the tradeoff region of secure exact-repair regenerating codes, 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, 2017, pp. 624-628.

(26) S. Shao, T. Liu and C. Tian, Multilevel diversity coding with regeneration: Separate coding achieves the MBR point, 2016 Annual Conference on Information Science and Systems (CISS), Princeton, NJ, 2016, pp. 602-607.

(27) Y. Song, M. Xu, L. Yu, H. Zhou, S. Shao*, Yong Yu，Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip, Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), (Apr. 2020),pp.5834-5841. 

(28) Y. Bo, S. Shao* and M. Tao, A Superposition Code Approach for Digital Semantic Communications Over Broadcast Channels, GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 1586-1591.

(29) H. Zhang, M. Tao and S. Shao, A Wyner-Ziv Coding-Based Semantic Communication Approach with a Shared Semantic Codebook, 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, 2023, pp. 1261-1266.

(30) K. Ma, S. Shao* and M. Tao, Image Semantic Communication over Fading Channel: A Learned Broadcast Approach, 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, 2023, pp. 66-70.

(31) K. Ma, Y. Xu and S. Shao*, On Broadcast Approach to MIMO Fading Channels, 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 2022, pp. 2738-2743.

(32) J. Lu, Y. Xu and S. Shao*, Functional Privacy for Distributed Function Computation, 2022 IEEE Information Theory Workshop (ITW), Mumbai, India, 2022, pp. 1-6.

(33) Y. Bo, Y. Duan, S. Shao* and M. Tao, Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems, 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2022, pp. 1-6.

(34) X. Ju, S. Shao*, H. Long and W. Wang, Nearest Neighbor Classification Based on Activation Space of Convolutional Neural Network, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 431-437.

(35) D. Yao, L. Wang, J. Xu, L. Xiang, S. Shao, Y. Chen, and Y. Tong. Federated model search via reinforcement learning. In 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS), pp. 830-840. IEEE, 2021.

(36) M. Wang, Y. Ling, S. Shao, and Y. Su. An iterative algorithm for artifacts removal in Fourier-domain optical coherence tomography. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, vol. 11630, pp. 124-128. SPIE, 2021.

(37) Y. Song, L. Yu, Z. Cao, Z. Zhou, J. Shen, S. Shao, W. Zhang, Yong Yu, Improving Unsupervised Domain Adaptation with Variational Information Bottleneck, 24th European Conference on Artificial Intelligence - ECAI 2020, Santiago de Compostela, Spain. 

(38) L. Song, S. Shao and J. Chen, On symmetric multiple description coding, 2013 IEEE Information Theory Workshop (ITW), Sevilla, 2013, pp. 1-5.

Globecom2024 TPC成员

SPAWC2023 Session Chair

《中国通信》客座编辑

WCSP2019、2023、2024 TPC成员

ComComAp2021 TPC成员

IEEE ICCC会议2019年-2024年TPC成员

上海市计算机学会信息安全专委会成员

电子学会信息论分会委员

通信学会移动智能网络论坛承办委员

IMT2030语义通信工作组成员

WCSP2022最佳论文奖

2024年度上海通信学会最佳论文二等奖

2022年度IEEE通信学会优秀审稿人

上海交通大学优秀班主任