Academic/Professional Qualifications 

Electric Engineering, Texas A&M University, U.S., 2014-2017

Electric and Computer Engineering, McMaster University, Canada, 2011-2013

Information Engineering, Southeast University, 2007-2011

Career History:

Assistant Professor, Shanghai Jiao Tong University, 2017-2020

Associate Professor, Shanghai Jiao Tong University, 2021-2025

Associate Professor, University of Shanghai for Science and Technology, 2025-present

Scientific Research projects

Projects:

[1] National Natural Science Foundation of China，62471294，Adaptive Semantic Communication for Unstationary Source and Channel，2025.01-2028.12.

[2] National Natural Science Foundation of China，61901261，Secure Multilevel Diversity Regeneration Code, 2020.1-2022.12.

[3] Sail Project of Shanghai ，19YF1424200，Secure Distributed Storage Code，2019.5- 2022.4.

Recent Papers:

(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.

Awards for Scientific Research 

Best paper award of WCSP 2022

Second level best paper award of Shanghai ComSoc, 2024