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成果展示-2016-通信-刘善赟

姓名:

刘善赟

导师:

樊平毅

联系方式:

Email

所属专业:

信息与通信工程

研究成果题目:

基于大数据的小概率事件场景下信息重要性相关研究

研究成果简介:

1. Liu, S., She, R., Fan, P., & Letaief, K. B. (2018). Non-parametric message importance measure: Storage code design and transmission planning for big data. IEEE Transactions on Communications, 66(11), 5181-5196.

2. Liu, S., She, R., & Fan, P. (2018). Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. IEEE Access, 6, 42851-42867.

3. Liu, S., Dong, Y., Fan, P., She, R., & Wan, S. (2019). Matching Users’ Preference under Target Revenue Constraints in Data Recommendation Systems. Entropy, 21(2), 205.

4. Liu, S., She, R., Lu, J., & Fan, P. (2018, June). Big Data Viewpoint On Channel Information Measures Based on ACE Algorithm. In 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 1530-1535). IEEE.

5. Liu, S., She, R., Fan, P., & Lu, J. (2017, December). Non-parametric message important measure: Compressed storage design for big data in wireless communication systems. In 2017 23rd Asia-Pacific Conference on Communications (APCC) (pp. 1-6). IEEE.

6. 国际发明展览会“金奖”,陈徐洪,刘善赟,卢嘉勋,樊平毅,厍睿。2016年11月。

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