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劉立成

(湖南大學電氣與信息工程學院助理教授)

鎖定
劉立成,男,博士,湖南大學電氣與信息工程學院副教授、碩士生導師,嶽麓學者。 [1] 
中文名
劉立成
畢業院校
澳門大學
學位/學歷
博士
專業方向
電氣與信息工程
任職院校
湖南大學

劉立成人物經歷

09/2006-07/2010 中國地質大學(武漢),學士。
09/2010~07/2012 湖南大學,碩士,導師:蔣月評教授。
09/2012~04/2016 澳門大學,博士(PhD),導師:Prof. C. L. Philip Chen(陳俊龍教授、IEEE Fellow、IEEE Transactions on system, man, and cybernetics: system主編)。
07/2016~目前 湖南大學,電氣與信息工程學院,助理教授。 [1] 

劉立成研究領域

圖像處理,計算機視覺,機器學習,人工智能 [1] 

劉立成科研成果

1. 中央高校基本科研業務費,2016.7-2020.12,主持
2. 國家自然科學基金青年基金,2018.01-2020.12,主持 [1] 
3. 湖南省自然科學基金青年基金,2018.01-2020.12, 主持

劉立成學術成果

SCI期刊論文
[1] Licheng Liu, C. L. Philip Chen, Yicong Zhou, and Xinge You. A new weighted mean filter with a two-phase detector for removing impulse noise.Information Sciences, vol. 315, pp. 1-16, 2015.(CCF B類,中科院2區).
[2]C. L. Philip Chen, Licheng Liu*(通訊作者), Long Chen, Yuan Yan Tang, and Yicong Zhou.Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal.IEEE Transactions on Image Processing,vol. 24, pp. 4014-4026, 2015.(CCF A類,中科院2區top,圖像處理領域國際頂級期刊).
[3] Licheng Liu, Long Chen, C. L. Philip Chen, Yuan Yan Tang, and Chi Man Pun.Weighted Joint Sparse Representation for Removing Mixed Noise in Image,IEEE Transactions on Cybernetics, vol. 47, pp. 600-611, 2017.(CCF B類,中科院1區Top,ESI高被引論文).
[4] Long Chen, Licheng Liu*(通訊作者), and C. L. Philip Chen,"A robust bi-sparsity model with non-local regularization for mixed noise reduction," Information Sciences,vol. 354, pp. 101-111, 2016.(SCI,CCF B類,中科院2區). [1] 
[5] L.Liu, C. L. P. Chen, S. Li, Y. Y. Tang, and L. Chen,"Robust Face Hallucination via Locality-Constrained Bi-Layer Representation,"IEEE Transactions on Cybernetics, vol. 48, pp. 1189-1201, 2018.(CCF B類,中科院1區Top).
[6]L.Liu, S. Li, and C. L. P. Chen, "Quaternion Locality-Constrained Coding for Color Face Hallucination," IEEE Transactions on Cybernetics, vol. 48, pp. 1474-1485, 2018.(CCF B類,中科院1區Top).
[7] L. Liu, C. L. P. Chen, X. You, Y. Y. Tang, Y. Zhang, and S. Li, "Mixed Noise Removal via Robust Constrained Sparse Representation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, pp. 2177-2189, 2018. (CCF B類,中科院2區).
[8] L.Liu, S. Li, and C. L. P. Chen, "Iterative Relaxed Collaborative Representation with Adaptive Weights Learning for Noise Robust Face Hallucination," IEEE Transactions on Circuits and Systems for Video Technology, in press, 2018. (CCF B類,中科院2區).
[9] Licheng Liu, Han Liu, Shutao Li, and C. L. Philip Chen, "Face Hallucination via Multiple Feature Learning with Hierarchical Structure", Information Sciences, DOI: https://doi.org/10.1016/j.ins.2019.06.017, 2019.(SCI,CCF B類,中科院2區).
[10] Na Li, Licheng Liu*(通訊作者), Shutao Li, and Hui Lin, "Robust Face Hallucination via Locality-constrained Multiscale Coding", Information Sciences, DOI: https://doi.org/10.1016/j.ins.2019.06.041, 2019.(SCI,CCF B類,中科院2區).
[11] T.Xie, S. Li, L. Fang, L,Liu, "Tensor Completion via Nonlocal Low-Rank Regularization", IEEE Transactions on Cybernetics, in press, 2018.(SCI,CCF B類,中科院1區Top)
[12] Yicong Zhou, Weijia Cao, Licheng Liu, Sos Agaian, and C. L. Philip Chen. Fast Fourier Transform Using Matrix Decomposition.Information Sciences,vol. 291, pp. 172–183, 2015.(CCF B類,中科院2區).
[13] Yushu. Zhang, L. Y. Zhang, Jiantao. Zhou, Licheng. Liu, Fei Chen, and Xing He,"A Review of Compressive Sensing in Information Security Field," IEEE Access, vol. 4, pp. 2507-2519, 2016.(中科院3區)
EI會議論文
[1] L. Liu, Y. Zhou, and C. L. P. Chen, "A new selective filtering algorithm for image denoising," in 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013, pp. 193-197.
[2] L. Liu, C. L. P. Chen, Y. Zhou, and Y. Y. Tang, "Impulse noise removal using sparse representation with fuzzy weights," in 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2014, pp. 4052-4057.
[3] L. Liu and S. Li, "Face Image Super-Resolution via K-NN Regularized Collaborative Representation with Importance Reweighting," in 2018 24th International Conference on Pattern Recognition (ICPR), 2018, pp. 2809-2814. [1] 

劉立成獲獎情況

10/2016 澳門特別行政區博士科技研發獎(頒發單位:澳門科技基金委) [1] 
參考資料