个人简历

2005年在湖南师范大学获得学士学位；

2012年在中国科学院电子学研究所获得博士学位，并随后加入赌博软件app。

工作经历

2012年10月至今，历任赌博软件app讲师、副教授。

科研方向

       数据科学和机器学习的数学基础：主要运用高维概率理论，优化理论，信息论及统计物理中的基本工具和方法解决数据科学和机器学习中的基础理论问题。

学术成就

代表性论文（“*”表示通讯作者）

[16]: Jinchi Chen and Yulong Liu*, “Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements,” IEEE Transactions on Information Theory , vol. 65, no. 5, pp. 2976–2994, 2019.

[15]: Zhongxing Sun,Wei Cui, and Yulong Liu*, “Recovery of Structured Signals From Corrupted Non-Linear Measurements,” IEEE International Symposium on Information Theory , Paris, France, pp. 2084–2088, 2019.

[14]: Tian Chen, Shihao Zhang, Yi Zhang, Yulong Liu, Su-Peng Kou*, Houjun Sun*, and

Xiangdong Zhang*, “Experimental observation of classical analogy of topological entanglement entropy,” Nature Communications , 10:1557, pp. 1–9, 2019.

[13]: Huan Zhang, Yulong Liu*, Hong Lei, “Localization from Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach,” IEEE Transactions on Signal Processing , vol. 67, no. 8, pp. 2196–2209, 2019.

[12]: Wei Cui, Xu Zhang, and Yulong Liu*, “Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples,” IEEE Transactions on Signal Processing , vol. 67, no. 8, pp. 2187–2195, 2019.

[11]: Xu Zhang, Wei Cui, and Yulong Liu*, “Recovery of Structured Signals with Prior Information via Maximizing Correlation,” IEEE Transactions on Signal Processing , vol. 66, no. 12, pp. 3296–3310, 2018.

[10]: Jinchi Chen and Yulong Liu*, “Data-Time Tradeoffs for Corrupted Sensing,” IEEE Signal Processing Letters , vol. 25, no. 7, pp. 941–945, 2018.

[9]: Jinchi Chen and Yulong Liu*, “Corrupted Sensing with Sub-Gaussian Measurements,” IEEE International Symposium on Information Theory , Aachen, Germany, pp. 516–520, 2017.

[8]: Huan Zhang, Yulong Liu*, and Hong Lei, “On the Phase Transition of Corrupted Sensing,” IEEE International Symposium on Information Theory , Aachen, Germany, pp. 521–525, 2017.

[7]: Xu Zhang,Wei Cui, and Yulong Liu*, “Compressed Sensing with Prior Information via Maximum Correlation,” IEEE International Symposium on Information Theory , Aachen, Germany, pp. 221–225, 2017.

[6]: Kazuo Fujikawa, Mo-Lin Ge, Yulong Liu, and Qing Zhao, “Uncertainty Principle, Shannon-Nyquist Sampling and Beyond,” Journal of the Physical Society of Japan , vol. 84, pp. 064801-1–064801-8, 2015. (alphabetical order)

[5]: Shidong Li, Yulong Liu, and Tiebin Mi, “Fast thresholding algorithms with feedbacks for sparse signal recovery,” Applied and Computational Harmonic Analysis , vol. 37, pp. 69–88, 2014. (alphabetical order)

[4]: Shidong Li, Yulong Liu, and Tiebin Mi, “Sparse dual frames and dual Gabor functions of minimal time and frequency supports,” Journal of Fourier Analysis and Applications , vol. 19, no. 1, pp. 48–76, 2013. (alphabetical order)

[3]: Yulong Liu*, Tiebin Mi, and Shidong Li, “Compressed sensing with general frames via optimal-dual-based L1-analysis,” IEEE Transactions on Information Theory , vol. 58, no. 7, pp. 4201–4214, July, 2012.

[2]: Yulong Liu*, Shidong Li, Tiebin Mi, Hong Lei, and Weidong Yu, “Performance analysis of L1-synthesis with coherent frame,” IEEE International Symposium on Information Theory , Cambridge, Massachusetts, U.S.A., pp. 2042–2046, July, 2012.

[1]: Tiebin Mi*, Shidong Li, and Yulong Liu, “The L1-analysis approach by sparse dual frames for sparse signal recovery represented by frames," IEEE International Symposium on Information Theory , Cambridge, Massachusetts, U.S.A., pp. 2037–2041, July, 2012.

主持科研项目情况

[2]: 国家自然科学基金面上项目：干扰下的结构信号重建理论及应用研究 (61971044)。

[1]: 国家自然科学基金青年项目：冗余字典下的压缩感知理论及应用研究 (61301188)。