职称：
联系电话：
E-mail：lxliu@bit.edu.cn
通信地址：北京市海淀区中关村南大街5号太阳集团tyc539
个人信息
副教授，博士生导师，曾以公派博士后在美国德州大学澳斯汀分校进行访问研究。近年来主持完成包括国家自然科学基金面上项目、教育部留学回国人员科研启动基金项目在内的多项智能视觉质量分析、图像与视频处理方面的研究工作，发表国际期刊论文10多篇（其中2篇入选ESI高被引论文，1篇高被引论文同时获得2020年度欧洲信号处理学会（EURASIP）最佳论文奖（Best Paper Award）），以第三完成人获2024年度中国图象图形学学会（CSIG）自然科学奖一等奖。担任中国计算机学会多媒体技术专委会委员、中国图象图形学学会多媒体技术专委会委员，IEEE TIP、IEEE TNNLS和IEEE TCSVT等国际学术期刊审稿人。
指导研究生获得博士、硕士研究生国家奖学金，毕业研究生大部分进入中国银行、中国工商银行、微软、百度、华为、阿里、快手、佳期投资等企事业单位。每年计划招收博士生1名、硕士生2-3名，欢迎对视觉质量评价、机器学习、图像分析与理解等相关领域研究有兴趣的同学们加入课题组。
科研方向
视觉感知、图像与视频处理
代表性学术成果
[1] Pingchuan Ma, Lixiong Liu, Chengzhi Xiao, and Dong Xu, Omnidirectional Image Quality Assessment with Mutual Distillation, IEEE Transactions on Broadcasting, 2024, doi: 10.1109/TBC.2024.3503435.（SCI一区）
[2] Zongyao Hu, Lixiong Liu, and Qingbing Sang, Omnidirectional Video Quality Assessment with Causal Intervention, IEEE Transactions on Broadcasting, 2024, 70(1):238-250.（SCI一区）
[3] Zongyao Hu, Lixiong Liu, Qingbing Sang, and Chongwen Wang, Adversarial Attacks on Video Quality Assessment Models, Knowledge-Based Systems, 2024, 293(111655).（SCI一区，Top期刊）
[4] Lixiong Liu, Pingchuan Ma, Chongwen Wang, and Dong Xu, Omnidirectional Image Quality Assessment with Knowledge Distillation, IEEE Signal Processing Letters, 2023, 30:1562-1566.
[5] Shaojie Jiang, Qingbing Sang, Zongyao Hu, and Lixiong Liu, Self-Supervised Representation Learning for Video Quality Assessment, IEEE Transactions on Broadcasting, 2023, 69(1):118-129.（SCI一区）
[6] Zongyao Hu and Lixiong Liu, Motion Measurement and Quality Variation Driven Video Quality Assessment, Displays, 2022, 74(102289).
[7] Lixiong Liu, Tianshu Wang, Hua Huang and Alan Conrad Bovik, Video Quality Assessment Using Space-Time Slice Mappings, Signal Processing: Image Communication, 2020, 82(115749).
[8] Lixiong Liu, Jiufa Zhang, Michele A. Saad, Hua Huang and Alan Conrad Bovik, Blind S3D image quality prediction using classical and non-classical receptive field models, Signal Processing: Image Communication, 2020, 87(115915).
[9] Lixiong Liu, Tianshu Wang, and Hua Huang, Pre-Attention and Spatial Dependency Driven No-Reference Image Quality Assessment, IEEE Transactions on Multimedia, 2019, 21(9):2305-2318.（SCI一区，Top期刊）
[10] Lixiong Liu, Bing Yang, and Hua Huang, No-reference stereopair quality assessment based on singular value decomposition, Neurocomputing, 2018, 275:1823-1835.
[11] Lixiong Liu, Bao Liu, Che-Chun Su, Hua Huang, and Alan Conrad Bovik, Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment, Signal Processing: Image Communication, 2017, 58:287-299.
[12] Lixiong Liu, Shengming Fan, Xiaodong Ning, and Lejian Liao, An efficient level set model with self-similarity for texture segmentation, Neurocomputing, 2017, 266:150-164.
[13] Lixiong Liu, Yi Hua, Qingjie Zhao, Hua Huang, and Alan Conrad Bovik, Blind image quality assessment by relative gradient statistics and AdaBoosting neural network, Signal Processing: Image Communication, 2016, 40:1-15.（ESI高被引论文，获2020年度欧洲信号处理学会（EURASIP）最佳论文奖（Best Paper Award））
[14] Lixiong Liu, Bao Liu, Hua Huang, and Alan Conrad Bovik, No-reference image quality assessment based on spatial and spectral entropies, Signal Processing: Image Communication, 2014, 29(8):856-863.（ESI高被引论文）
[15] Lixiong Liu, Hongping Dong, Hua Huang, and Alan C. Bovik, No-reference image quality assessment in curvelet domain, Signal Processing: Image Communication，2014, 29(4):494-505.
[16] Lixiong Liu, Qi Zhang, Min Wu, Wu Li, and Fei Shang, Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method, Magnetic Resonance Imaging, 2013, 31(4):567-574.