何宣
副教授
硕士生导师
个人信息Personal Information
入职时间:2021-04-28
学历:博士研究生毕业
学位:工学博士学位
性别:男
在职信息:在岗
毕业院校:电子科技大学
所在单位:信息科学与技术学院
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- X. He, Y. liu, T. Wang, and X. Tang, “Efficient explicit and pseudo-random constructions of constrained codes for DNA storage,” IEEE Transactions on Communications, Early Access.,2024
- L. Luo, X. He, J. Xing, Y. Wang, and X. Tang, “An efficient scheme for finding minima in shuffled min-sum decoding of LDPC codes,” China Communications, 2023.,2024
- T. Lu, X. He, P. Kang, J. Xing, and X. Tang, “Parity-check matrix partitioning for efficient layered decoding of QC-LDPC codes,” IEEE Transactions on Communications, vol. 71, no. 6, pp. 3207–3220, Jun. 2023.,2023
- X. He and K. Cai, “Basis finding algorithm for decoding fountain codes for DNA-based data storage,” IEEE Transactions on Information Theory, vol. 69, no. 6, pp. 3691–3707, Jun. 2023.,2023
- C. Lv, X. He, P. Kang, K. Cai, J. Xing, and X. Tang, “Mutual information-maximizing quantized layered min-sum decoding of QC-LDPC codes,” IEEE Global Communications Conference, Dec. 2022, pp. 3490-3495.,2022
- P. Kang, K. Cai, and X. He, “Design of mutual-information-maximizing quantized shuffled min-sum decoder for rate-compatible quasi-cyclic LDPC codes,” Electronics, vol. 11, no. 19, 3206, Oct. 2022.,2022
- W. Song, N. Polyanskii, K. Cai, and X. He, “Systematic codes correcting multiple-deletion and multiple-substitution errors,” IEEE Transactions on Information Theory, vol. 68, no. 10, pp. 6402–6416, Oct. 2022.,2022
- Y. Liu, X. He, and X. Tang, “Capacity-achieving constrained codes with GC-content and runlength limits for DNA storage,” IEEE International Symposium on Information Theory, Jul. 2022.,2022
- P. Kang, K. Cai, X. He, S. Li, and J. Yuan, “Generalized mutual information-maximizing quantized decoding of LDPC codes with layered scheduling,” IEEE Transactions on Vehicular Technology, vol. 71, no. 7, pp. 7258–7273, Jul. 2022.,2022
- F. Luo, X. He, J. Xing, and X. Tang, “Layered bit-flipping algorithms for decoding LDPC codes,” IEEE 7th International Conference on Cloud Computing and Big Data Analysis, Apr. 2022.,2022