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个人简介

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。

研究领域

迁移学习 (Transfer Learning / Domain Adaptation) 算法与应用 机器学习 (Machine Learning) 与深度学习 (Deep Learning) 算法与应用 无人驾驶中的计算机视觉应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Zhenjie Yu, Shuang Li*, Yirui Shen, Chi Harold Liu, Shuigen Wang. "On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, CCF-A. Fangrui Lv, Jian Liang, Shuang Li*, Jinming Zhang, Di Liu. "Improving Generalization with Domain Convex Game", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, CCF-A. Longhui Yuan, Binhui Xie, Shuang Li*. "Robust Test-Time Adaptation in Dynamic Scenarios", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, CCF-A. Mixue Xie, Shuang Li*, Rui Zhang, Chi Harold Liu. "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation", International Conference on Learning Representations (ICLR), 2023, (Spotlight). [paper] [code] Mingjia Li, Binhui Xie, Shuang Li*, Chi Harold Liu, Xinjing Cheng. "VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions", AAAI Conference on Artificial Intelligence (AAAI), 2023, (Oral Presentation), CCF-A. [paper] [code] Binhui Xie, Shuang Li*, Mingjia Li, Chi Harold Liu, Gao Huang and Guoren Wang. “SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, SCI 1区 CCF-A. [paper] [code] Zhenjie Yu, Kai Chen, Shuang Li*, Bingfeng Han, Chi Harold Liu, Shuigen Wang. "ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation", ACM Multimedia (ACM MM), 2022, CCF-A. [paper] [code] Wenxuan Ma, Jinming Zhang, Shuang Li*, Chi Harold Liu, Yulin Wang, Wei Li. "Making The Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation", ACM Multimedia (ACM MM), 2022, CCF-A. [paper] Kaixiong Gong, Shuang Li*, Shugang Li, Rui Zhang, Chi Harold Liu, Qiang Chen. "Improving Transferability for Domain Adaptive Detection Transformers", ACM Multimedia (ACM MM), 2022, CCF-A. [paper] Fangrui Lv, Jian Liang, Shuang Li*, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu. "Causality Inspired Representation Learning for Domain Generalization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, (Oral Presentation), CCF-A. [paper] [code] Binhui Xie, Longhui Yuan, Shuang Li*, Chi Harold Liu, Xinjing Cheng. "Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, (Oral Presentation), CCF-A. [paper] [code] Binhui Xie, Longhui Yuan, Shuang Li*, Chi Harold Liu, Xinjing Cheng, Guoren Wang. “Active Learning for Domain Adaptation: An Energy-based Approach”, AAAI Conference on Artificial Intelligence (AAAI), 2022, CCF-A. [paper] [code] Ying Zhao, Shuang Li*, Rui Zhang, Chi Harold Liu, Weipeng Cao, Xizhao Wang and Tian Song. “Semantic Correlation Transfer for Heterogeneous Domain Adaptation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, SCI 1区. [paper] [code] Binhui Xie, Shuang Li*, Fangrui Lv, Chi Harold Liu, Guoren Wang and Dapeng Wu. “A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, SCI 1区 CCF-A. [paper] Shuang Li, Kaixiong Gong, Binhui Xie, Chi Harold Liu, Weipeng Cao and Song Tian. “Critical Classes and Samples Discovering for Partial Domain Adaptation”, IEEE Transactions on Cybernetics (TCYB), 2022, SCI 1区. [paper] [code] Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu. “Joint Semantic Transfer Network for IoT Intrusion Detection”, IEEE Internet of Things Journal (IEEE IoT Journal), 2022, SCI 1区. [paper] Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li*, Chi Harold Liu, Han Li, Di Liu, Guoren Wang. "Pareto Domain Adaptation", Neural Information Processing Systems (NeurIPS), 2021, CCF-A. [paper] [code] Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li. "Semantic Concentration for Domain Adaptation", International Conference on Computer Vision (ICCV), 2021, CCF-A. [paper] [code] Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang. "I2V-GAN: Unpaired Infrared-to-Visible Video Translation", ACM Multimedia (ACM MM), 2021, CCF-A. [paper] [code] Qi Wen, Shuang Li, Bingfeng Han, Yi Yuan. "ZiGAN:Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach", ACM Multimedia (ACM MM), 2021, CCF-A. [paper] 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 Presentation), CCF-A. [paper] [code] 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 Presentation), CCF-A. [paper] [code] 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. [paper] [code] 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. [paper] [code] 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. [paper] [code] 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. [paper] 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, SCI 1区 CCF-A. [paper] [code] Shuang Li, Wenxuan Ma, Jinming Zhang, Chi Harold Liu, Jian Liang and Guoren Wang. “Meta-reweighted Regularization for Unsupervised Domain Adaptation”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, SCI 1区 CCF-A. [paper] [code] Shuang Li, Shugang Li, Mixue Xie, Kaixiong Gong, Jianxin Zhao, Chi Harold Liu, and Guoren Wang. “End-to-End Transferable Anomaly Detection via Multi-spectral Cross-domain Representation Alignment”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, SCI 1区 CCF-A. [paper] [code] 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. [paper] [code] 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. [paper] [code] 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), 43(7): 2329-2344 (2021), SCI 1区 CCF-A. [paper] 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), SCI 1区. [paper] [code] 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) SCI 1区, CCF-A. 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. [paper] [code] Shuang Li, Shiji Song, Gao Huang, Cheng Wu, “Cross-Domain Extreme Learning Machine for Domain Adaptation”, IEEE Transactions on Systems, Man, Cybernetics : Systems (TSMC) 49(6): 1194-1207 (2019). SCI 1区. 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 : Systems (TSMC) 2019. SCI 1区. Le Yang , Shiji Song, Shuang Li, Yiming Chen , and C. L. Philip Chen, “Discriminative Dimension Reduction via Maximin Separation Probability Analysis”. IEEE Transactions on Cybernetics (TCYB) 2019. SCI 1区. Yiming Chen, Shiji Song, Shuang Li, Le Yang, “Domain Space Transfer Extreme Learning Machine for Domain Adaptation”, IEEE Transactions on Cybernetics (TCYB) 49(5): 1909-1922 (2019). SCI 1区. 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). SCI 1区, CCF-A. 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. Shuang Li, Shiji Song, Yihe Wan, “Laplacian twin extreme learning machine for semi-supervised classification”, Neurocomputing 321: 17-27 (2018). SCI 2区. 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). SCI 1区. Yihe Wan, Shiji Song, Gao Huang, Shuang Li, “Twin Extreme Learning Machine for Pattern Classification”, Neurocomputing 23(11): 1690-1700 (2017). SCI 2区.

学术兼职

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

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