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邵硕

教授，紫江优秀青年学者

信息与电子工程学院（集成电路科学与工程学院）      

导航

  • 个人资料
  • 研究方向
  • 招生与培养
  • 开授课程
  • 科研项目
  • 学术成果
  • 荣誉及奖励

个人资料

  • 部门： 信息与电子工程学院（集成电路科学与工程学院）
  • 毕业院校： Texas A&M University
  • 学位：
  • 学历： 博士
  • 邮编：
  • 联系电话：
  • 传真：
  • 电子邮箱： sshao@ee.ecnu.edu.cn
  • 办公地址：
  • 通讯地址：

教育经历

2007-2011 东南大学，学士

2011-2013 McMaster University, Canada

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

工作经历

个人简介

社会兼职

研究方向

信息论与编码，智能通信


招生与培养

开授课程

科研项目

  1. 国家自然科学基金青年项目（B类），62622116，《智能通信的率失真编码理论与方法》，主持，2027.01-2029.12

  2. 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.

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

  4. 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.

  5. 人力资源和社会保障部，外国专家项目，《6G智能通信关键技术与应用》，主持，2025.1-2026.12.

  6. 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》，课题负责人，2023.1-2027.12.

  7. 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.

  8. 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.

  9. 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.

  10. 科技部国际合作项目，2021YFE0109900，《分布式存储中的数据可靠性相关技术研究》，参与，2021.10-2023.9.

  11. 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.

  12. 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.

  13. 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》，参与，2019.1-2022.12.


学术成果

期刊论文

  1. K. Tan et al., DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations, in IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2026.3705826. 

  2. W. Chen et al., Secure Digital Semantic Communications: Fundamentals, Challenges, and Opportunities, in IEEE Network, doi: 10.1109/MNET.2026.3692389.

  3. H. -L. Qin et al., Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications, in IEEE Communications Surveys & Tutorials, vol. 28, pp. 6241-6281, 2026, doi: 10.1109/COMST.2026.3690542.

  4. W. Chen, Q. Yang, S. Shao, Z. Shi, J. Chen and X. Shen, Can Knowledge Improve Security? A Coding-Enhanced Jamming Approach for Semantic Communication, in IEEE Journal on Selected Areas in Communications, vol. 44, pp. 1765-1780, 2026, doi: 10.1109/JSAC.2025.3640601.

  5. N. Wang et al., Near-Optimal Joint Compression-Encryption Schemes for Big Data Storage With Asymmetric Numeral Systems, in IEEE Transactions on Big Data, vol. 12, no. 3, pp. 768-786, June 2026, doi: 10.1109/TBDATA.2025.3639931.

  6. W. Chen, S. Shao, Q. Yang, Z. Zhang and P. Zhang, A Superposition Code-Based Semantic Communication Approach With Quantifiable and Controllable Security, in IEEE Transactions on Mobile Computing, vol. 25, no. 2, pp. 2444-2461, Feb. 2026, doi: 10.1109/TMC.2025.3608054.

  7. H. -L. Qin et al., Neural Coding Is Not Always Semantic: Toward the Standardized Coding Workflow in Semantic Communications, in IEEE Communications Standards Magazine, vol. 9, no. 4, pp. 24-33, Dec. 2025, doi: 10.1109/MCOMSTD.2025.3598111. 

  8. J. Yang, S. Shao, F. Zou and Y. Wu, Dictionary Learning-Enabled Privacy Preserving Semantic Communication System, in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 5356-5371, 2025, doi: 10.1109/TIFS.2025.3573212.

  9. Y. Shi, S. Shao, Y. Wu, W. Zhang and M. Debbah, RWZC: A Model-Driven Approach for Learning-Based Robust Wyner-Ziv Coding, in IEEE Journal on Selected Areas in Communications, vol. 43, no. 7, pp. 2364-2378, July 2025, doi: 10.1109/JSAC.2025.3559128.

  10. K. Ma, Y. Xu and S. Shao, Hierarchical Rate Splitting to General MIMO Fading Channels, in IEEE Transactions on Communications, vol. 73, no. 7, pp. 4732-4748, July 2025, doi: 10.1109/TCOMM.2024.3516510. 

  11. 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, vol. 73, no. 6, pp. 4241-4256, June 2025, doi: 10.1109/TCOMM.2024.3507636.

  12. 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, vol. 74, no. 3, pp. 4596-4607, March 2025, doi: 10.1109/TVT.2024.3499321.

  13. 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, vol. 73, no. 2, pp. 1186-1200, Feb. 2025, doi: 10.1109/TCOMM.2024.3447870.


会议论文

  1. W. Liu, S. Shao and W. Zhang, Learning-Based Joint Geometric-Probabilistic Shaping for Digital Semantic Communication, 2025 Asia Pacific Workshop on Data Science and Information Theory (APWDSIT), Shenzhen, China, 2025, pp. 1-6, doi: 10.1109/APWDSIT64675.2025.11478535.

  2. X. Hong, Y. Zhou and S. Shao, Robust Image Watermarking with Authentication Capability, 2025 IEEE 23rd International Conference on Embedded and Ubiquitous Computing (EUC), Guiyang, China, 2025, pp. 17-23, doi: 10.1109/EUC66494.2025.00011.

  3. H. Xu, J. Pan, Y. Xu, S. Shao and T. Song, Timely Gossip on Lines: Hybrid Ageing, 2025 IEEE International Symposium on Information Theory (ISIT), Ann Arbor, MI, USA, 2025, pp. 1-6, doi: 10.1109/ISIT63088.2025.11195272.

  4. Y. Cao, T. Dang, S. Shao, K. Niu and J. Dai, Enhancing Deep Joint Source-Channel Coding in Varying Wireless Channels via MoE Approach, 2025 IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, 2025, pp. 1-6, doi: 10.1109/ICCC65529.2025.11148927.

  5. W. Chen, Q. Yang, S. Shao, Z. Shi, J. Chen and X. S. Shen, Enhancing the Security of Semantic Communication via Knowledge-Aided Coding and Jamming, 2025 IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, 2025, pp. 1-6, doi: 10.1109/ICCC65529.2025.11148972. （Best Paper Award）

  6. C. Qi, Y. Si and S. Shao, A Learning-based Joint Source-Channel Coding Approach for Wireless Covert Image Transmission, 2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Shanghai, China, 2025, pp. 1-6, doi: 10.1109/ICCCWorkshops67136.2025.11148181.

  7. S. Lyu, T. Dang, Z. Liu, S. Shao, K. Niu and J. Dai, PCST: Geometry-based Point Cloud Semantic Transmission for Low-Latency XR Communications, 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, 2025, pp. 1-5, doi: 10.1109/SPAWC66079.2025.11143324.

  8. T. Dang, S. Wang, Z. Liu, S. Shao, K. Niu and J. Dai, Learning Joint Source-Channel Coding for Wireless Image Transmission: A Benchmark, 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, United Kingdom, 2025, pp. 1-5, doi: 10.1109/SPAWC66079.2025.11143290.

  9. N. Wang, C. Ma, S. -J. Lin, S. Shao and C. Qin, OPIRC: An Output-Interleaved Range Coding Algorithm, 2025 Data Compression Conference (DCC), Snowbird, UT, USA, 2025, pp. 213-222, doi: 10.1109/DCC62719.2025.00029.

  10. Y. Liu, S. Shao, M. Li, N. Wang, C. Qin and H. Hou, A Space-Efficient Direct Access Algorithm for Extremely Skewed Distributions, 2025 Data Compression Conference (DCC), Snowbird, UT, USA, 2025, pp. 389-389, doi: 10.1109/DCC62719.2025.00076.

荣誉及奖励

10 访问

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