个人信息

李爽博士，计算机学院预聘助理教授、特别副研究员、硕士生导师。分别于2012年、2018年自东北大学、清华大学自动化系获得工学学士、博士学位，于2015年11月-2016年6月在美国康奈尔大学计算机学院进行学术访问，于2016年11月-2017年2月在微软亚洲研究院实习。主要研究方向为机器学习、深度学习与迁移学习等。其研究成果发表在国际顶级期刊IEEE TPAMI, IEEE TIP, IEEE TNNLS等和顶级会议CVPR, AAAI, ACM MM等共20余篇，其中CCF-A类论文13篇，得到国内外学术界和工业界的广泛关注。在科研领域，李爽博士与美国康奈尔大学、UC Berkeley、英国爱丁堡大学、新加坡国立、新加坡南洋理工大学、清华大学等国内外顶尖学校；微软亚洲研究院（MSRA）、阿里达摩院等知名研究机构有长期的交流和合作，保证科研的前沿性与实用性。

每年招收4名硕士研究生和多名致力于学术研究的本科生，一起研究和发表高水平论文。其中，具有ACM程序设计竞赛、编程竞赛、数学建模竞赛或者其它科研背景的学生将优先考虑。实验室师生关系融洽，共同成长，欢迎大家联系和交流讨论。

更多详细信息请前往个人主页：shuangli.xyz

科研方向

1、 迁移学习 (Transfer Learning / Domain Adaptation) 算法与应用。

2、 机器学习 (Machine Learning) 与深度学习 (Deep Learning) 算法与应用。

3、 无人驾驶中的计算机视觉应用

代表性学术成果

[1]Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang and Zhengming Ding. “Deep Residual Correction Network for Partial Domain Adaptation”,IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020,[IF: 17.861],SCI 1区, CCF-A.

[2]Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang and Guoren Wang. “Generalized Domain Conditioned Adaptation Network”,IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021,[IF: 17.861],SCI 1区, CCF-A.

[3]Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu, “Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation”,IEEE Transactions on Image Processing (TIP)27(9): 4260-4273 (2018).[IF: 9.34],SCI 1区, CCF-A.

[4]Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li. "Transferable Semantic Augmentation for Domain Adaptation",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (oral), CCF-A.

[5]Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng."MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, CCF-A.

[6]Shuang Li, JinMing Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li. "Dynamic Domain Adaptation for Efficient Inference",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, CCF-A.

[7]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin. “Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation”,AAAI Conference on Artificial Intelligence (AAAI),2021, CCF-A.

[8]Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding. "Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation",ACM Multimedia (ACM MM)2020: 3866-3874, CCF-A.

[9]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang. “Domain Conditioned Adaptation Network”,AAAI Conference on Artificial Intelligence (AAAI), 2020, CCF-A.

[10]Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang. “Joint Adversarial Domain Adaptation”,ACM Multimedia (ACM MM), 2019: 729-737, CCF-A.

[11] Yan Xia, Yusheng Xu,Shuang Li, Rui Wang, Juan Du, Uwe Stilla. "SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (oral), CCF-A.

[12] Guangming Yao, Yi Yuan, Tianjin Shao,Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou. "One-shot Face Reenactment Using Appearance Adaptive Normalization".AAAI Conference on Artificial Intelligence (AAAI), 2021, CCF-A.

[13] Yiming Chen , Shiji Song ,Shuang Li* , and Cheng Wu, “A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms”.IEEE Transactions on Image Processing (TIP)29:199-213 (2020),[IF: 9.34],SCI 1区, CCF-A.

[14]Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu. “Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification”,IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(11): 4842-4856 (2020),[IF: 8.761], SCI 1区.

[15]Shuang Li, Shiji Song, Gao Huang, Cheng Wu, “Cross-Domain Extreme Learning Machine for Domain Adaptation”,IEEE Transactions on Systems, Man, Cybernetics : Systems49(6): 1194-1207 (2019).[IF: 9.309], SCI 1区.

[16]Shuang Li, Shiji Song, Gao Huang, “Prediction Reweighting for Domain Adaptation”,IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 28(7): 1682-1695 (2017).[IF: 8.761], SCI 1区.

[17]Shuang Li, Shiji Song, Yihe Wan, “Laplacian twin extreme learning machine for semi-supervised classification”,Neurocomputing321: 17-27 (2018).[IF: 4.438], SCI 2区.

[18]Shuang Li, Shiji Song, Cheng Wu, "Layer-wise Domain Correction for Unsupervised Domain Adaptation", Frontiers of Information Technology & Electronic Engineering 19(1):91-103(2018), (FITEE AI 2.0工程院特刊约稿).SCI.

[19] Le Yang , Shiji Song ,Shuang Li, Yiming Chen , and Gao Huang, “Graph Embedding-Based Dimension Reduction With Extreme Learning Machine”.IEEE Transactions on Systems, Man, Cybernetics : Systems2019.[IF: 9.309], SCI 1区.

[20] Le Yang , Shiji Song,Shuang Li, Yiming Chen , and C. L. Philip Chen, “Discriminative Dimension Reduction via Maximin Separation Probability Analysis”.IEEE Transactions on Cybernetics2019.[IF: 11.079], SCI 1区.

[21] Yiming Chen, Shiji Song,Shuang Li, Le Yang, “Domain Space Transfer Extreme Learning Machine for Domain Adaptation”,IEEE Transactions on Cybernetics49(5): 1909-1922 (2019).[IF: 11.079], SCI 1区.

[22] Yihe Wan, Shiji Song, Gao Huang,Shuang Li, “Twin Extreme Learning Machine for Pattern Classification”,Neurocomputing23(11): 1690-1700 (2017).[IF: 4.438], SCI 2区.

承担科研情况

1. bob手机在线登陆青年教师学术启动计划，“深度迁移学习算法研究”，2018年-2020年，项目负责人；

2. 国家自然科学基金青年项目，“区分度增强的深度领域不变特征选择与修正方法研究”，2019年-2021年，项目负责人。

所获奖励

社会兼职

担任IJCV, IEEE TIP, IEEE TKDE, IEEE TNNLS, IEEE T-Cybernetics, IEEE T-Systems和CVPR, AAAI, ACM Multimedia等顶级期刊会议的审稿人和PC。

备注

李爽博士培养的多名在读研究生和本科生已在顶级会议和期刊上发表论文10余篇。欢迎对迁移学习、机器学习和深度学习方向感兴趣的同学联系攻读研究生。实验室师生关系融洽，共同成长，欢迎大家联系和交流讨论。