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蓝天 副教授
  • 学位:博士
  • 任职:
  • 研究方向:语音信号处理和医学图像处理
  • 联系方式:lantian1029 AT uestc.edu.cn
个人简介

2000年获得四川大学计算机软件专业理学学士学位;2003年获得四川大学数据库管理与应用专业工学硕士学位;2009年获得电子科技大学计算机应用技术专业工学博士学位,同年留校任教;2007至2008年期间,美国匹兹堡大学计算机学院国家公派访问学者。目前主要研究方向为语音信号处理和医学图像处理,其他感兴趣领域包括:知识图谱、安全协议及应用、移动互联网安全等;主持参与10余项国家级、省部级科研项目;在语音领域旗舰会议ICASSP、IEEE ACCESS(JCR-2)、《计算机研究与发展》等国内外各级学术期刊和会议上发表30余篇学术论文;获得5项国家发明专利、3项软件著作权、2项四川省科技成果鉴定;从事软件工程和数据分析等方面的课程教学工作,获得省级精品在线开放课程1项,出版国家级特色专业系列规划教材1本。

科研情况

主持参与NSFC-广东联合基金重点、NSFC重点、国家科技重大专项、前沿创新、领域基金、四川省科技计划等国家级、省部级项目10余项。

代表性学术论文:

[1] Tian Lan, Yilan Lyu, Guoqiang Hui, Refuoe Mokhosi, Sen Li, Qiao Liu, Redundant Convolutional Network With Attention Mechanism For Monaural Speech Enhancement. ICASSP, 2020.05;

[2] Tian Lan, Yilan Lyu, Wenzheng Ye, Guoqiang Hui, Zenglin Xu, Qiao Liu, Combining multi-perspective attention mechanism with convolutional networks for monaural speech enhancement, IEEE Access 2020(8): 78979-78991;

[3] Tian Lan, Wenzheng Ye, Yilan Lyu, Junyi Zhang, Qiao Liu, Embedding Encoder-Decoder With Attention Mechanism for Monaural Speech Enhancement. IEEE Access 2020(8): 96677-96685; 

[4] Yan Kuang, Tian Lan, Xueqiao Peng, Gati Elvis Selasi, Qiao Liu, Junyi Zhang:Unsupervised Multi-Discriminator Generative Adversarial Network for Lung Nodule Malignancy Classification. IEEE Access 2020(8): 77725-77734; 

[5] 蓝天, 彭川, 李森, 叶文政, 李萌, 惠国强, 吕忆蓝, 钱宇欣, 刘峤, 单声道语音降噪与去混响研究综述, 计算机研究与发展, 2020, 57(5):928-953;

[6] Tian Lan, Wenzheng Ye, Guoqiang Hui, Sen Li, Qiao Liu, Multiple Modules Speech Enhancement in Mixed Noise and Low SNR Environments, ICSPS2019, 2019.11;

[7] Peng Chuan, Tian Lan, Meng Li, Sen Li, Qiao Liu, Frame-level speech enhancement based on Wasserstein GAN, ICSPS2019, 2019.11;

[8] Tian Lan, Yilan Lyu, Sen Li, Guoqiang Hui, Qiao Liu, Shortcut-Based Fully Convolutional Network for Speech Enhancement, ICCT2019, 2019.10;

[9] Tian Lan, Sen Li, Yilan Lyu, Chuan Peng, Qiao Liu, An End-to-End Speech Enhancement Framework Using Stacked Multi-scale Blocks, ICCT2019, 2019.10;

[10] Meng Li, Tian Lan, Chuan Peng, Yuxin Qian, Qiao Liu, Multi-layer Attention Mechanism based Speech Separation Model, ICCT2019, 2019.10;

[11] Chuan Peng, Tian Lan, Yuxin Qian, Meng Li, Qiao Liu, RefineNet-Based Speech Enhancement with Composite Metric Loss Training, ICCT2019, 2019.10;

[12] Tian Lan, Shi Chen, Yuanyuan Li, Yi Ding, Zhiguang Qin, and Xinyun Wang. Lung Nodule Detection Based on the Combination of Morphometric and Texture Features. Journal of Medical Imaging and Health Informatics, 2018, 8(3): 464-71;

[13] Yi Ding ,Cong Zhang,Tian Lan,Xinjie Zhang,Wei Wang,Zhiguang Qin ,Classification of Alzheimer’s Disease Based on the combination of Morphometric Feature and Texture Feature, IEEE International Conference on Bioinformatics and Biomedicine, Bethesda, Maryland , USA, 2015.10.9-2015.10.12;

[14] Tian Lan, Zhe Xiao, Yi Li, Yi Ding and Zhiguang Qin, “Multimodal medical image fusion using wavelet transform and human vision system”, the 4th International Conference on Audio, Language and Image Processing, 2014;

[15] Tian Lan, Zhe Xiao, Changsong Hu, Yi Ding and Zhiguang Qin, “MRI Brain Image Segmentation Based On Kerneled FCM Algorithm And Using Image Filtering Method”, the 4th International Conference on Audio, Language and Image Processing, 2014; 

[16] Tian Lan and Zhiguang Qin, “Efficient hardware-based private information retrieval using partial reshuffle”, High Technology Letters, 2010, Vol.16 (3): 263-267;

[17] Tian Lan, Zhiguang Qin, Yang Zhao, Hu Xiong and Li Liu, “A Gradual and Optimistic Fair Exchange Protocol”, International Conference on Communications, Circuits And Systems (ICCCAS)’ 2007, 2007.


教学情况

从事软件工程和数据分析等方面的课程教学工作,获得省级精品在线开放课程1项,出版国家级特色专业系列规划教材1本。

获奖情况