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Shuang Li (李爽) |
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Research Interests |
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Research Experience |
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Education Background |
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Publications (* denotes corresponding author) |
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[C1] Mingjia Li, Shuang Li*, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li. “Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation”, Neural Information Processing Systems (NeurIPS), 2024, CCF-A. [C2] Mixue Xie, Shuang Li*, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu. “Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments”, Neural Information Processing Systems (NeurIPS), 2024, CCF-A. [C3] Lincan Cai, Shuang Li*, Wenxuan Ma, Jingxuan Kang, Binhui Xie, Zixun Sun, Chengwei Zhu. “Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation”, International Conference on Machine Learning (ICML), 2024, CCF-A. [paper] [C4] Wenxuan Ma, Shuang Li*, Lincan Cai, Jingxuan Kang. “Learning Modality Knowledge Alignment for Cross-Modality Transfer”, International Conference on Machine Learning (ICML), 2024, CCF-A. [paper] [J1] Shugang Li, Renhu Bu, Shuang Li*, Chi Harold Liu, Keke Huang. “Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis”, IEEE Transactions on Instrumentation and Measurement (TIM), 2024, SCI 2区. [paper] [J2] Weibo Gao, Hang Li*, Jingxian Yang, Jinming Zhang, Rongxin Fu, Jiaxi Peng, Yechen Hu, Yitong Liu, Yingshi Wang, Shuang Li*, Shuailong Zhang*. “Machine Learning Assisted MALDI Mass Spectrometry for Rapid Antimicrobial Resistance Prediction in Clinicals”, Analytical Chemistry, 2024. [paper] [C1] Binhui Xie, Shuang Li*, Qingju Guo, Chi Harold Liu, Xinjing Cheng. "Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation", Neural Information Processing Systems (NeurIPS), 2023, CCF-A. [paper] [code] [C2] Mixue Xie, Shuang Li*, Longhui Yuan, Chi Harold Liu, Zehui Dai. "Evolving Standardization for Continual Domain Generalization over Temporal Drift", Neural Information Processing Systems (NeurIPS), 2023, CCF-A. [paper] [code] [C3] Wenxuan Ma, Shuang Li*, Lincan Cai, Jingxuan Kang. "Language Semantic Graph Guided Data-Efficient Learning", Neural Information Processing Systems (NeurIPS), 2023, CCF-A. [paper] [code] [C4] Yirui Shen, Jingxuan Kang, Shuang Li*, Zhenjie Yu, Shuigen Wang. "Style Transfer Meets Super-Resolution: Advancing Unpaired Infrared-to-Visible Image Translation with Detail Enhancement", ACM Multimedia (ACM MM), 2023, CCF-A. [paper] [code] [C5] Wenxuan Ma, Shuang Li*, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang. "Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm", International Conference on Computer Vision (ICCV), 2023, CCF-A. [paper] [code] [C6] 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. [paper] [code] [C7] 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. [paper] [code] [C8] 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. [paper] [code] [C9] 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] [C10] 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] [J1] Binhui Xie, Shuang Li*, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang. “SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, (ESI Highly Cited Paper), SCI 1区, CCF-A. [paper] [code] [J2] Mixue Xie, Shuang Li*, Kaixiong Gong, Yulin Wang, Gao Huang. “Adapting Across Domains via Target-oriented Transferable Semantic Augmentation under Prototype Constraint”, International Journal of Computer Vision (IJCV), 2023, SCI 1区, CCF-A. [J3] Shuang Li, Rui Zhang, Kaixiong Gong, Mixue Xie, Wenxuan Ma, and Guangyu Gao. “Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, SCI 1区. [J4] Ying Zhao, Shuang Li, Chi Harold Liu, Yuqi Han, Hao Shi, Wei Li. “Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023, SCI 1区. [paper] [J5] Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang. “Domain Adaptation via Prompt Learning”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023, SCI 1区. [J6] Haichuan Tang, Zhenjie Yu, Shuang Li. “Exploring Spatiotemporal Consistency of Features for Video Translation in Consumer Internet of Things”, IEEE Transactions on Consumer Electronics (TCE), 2023, SCI 2区. [C1] 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] [C2] 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] [C3] 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] [C4] 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] [C5] 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] [C6] 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] [J1] 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] [J2] 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, (ESI Highly Cited Paper), SCI 1区 CCF-A. [paper] [J3] 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] [J4] 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] [C1] 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] [C2] 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] [C3] 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] [C4] 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] [C5] 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] [C6] 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]
[C7] 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]
[C8] 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]
[C9] 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]
[C10]
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]
[J1] 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] [J2] 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] [J3] 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] [C1] 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] [C2] 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] [J1] 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), (ESI Highly Cited Paper), SCI 1区 CCF-A. [paper]
[J2] 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]
[J3] 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.
[C1] 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]
[J1] 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.
[J2] 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.
[J3] 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.
[J4] 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.
[J1] 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.
[J2] 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.
[J3] Shuang Li, Shiji Song, Yihe Wan, “Laplacian twin extreme learning machine for semi-supervised classification”, Neurocomputing 321: 17-27 (2018). SCI 2区.
[J1] 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.
[J2] Yihe Wan, Shiji Song, Gao Huang, Shuang Li, “Twin Extreme Learning Machine for Pattern Classification”, Neurocomputing 23(11): 1690-1700 (2017). SCI 2区. |
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