Shuang Li(李爽)
Scholar

Shuang Li(李爽)

Google Scholar ID: VXCiAc4AAAAJ
Associate Professor in School of Artificial Intelligence, Beihang University
Deep LearningTransfer LearningDomain Adaptation
Citations & Impact
All-time
Citations
4,191
 
H-index
31
 
i10-index
48
 
Publications
20
 
Co-authors
13
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - [C1] He, Zhuo, Shuang Li*, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai. “Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains”, International Conference on Machine Learning (ICML), 2025, CCF-A.
  • - [C2] Cai, Lincan, Jingxuan Kang, Shuang Li*, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang. “From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection”, International Conference on Machine Learning (ICML), 2025, CCF-A.
  • - [C3] Liang, Xufeng, Zhida Qin*, Pengzhan Zhou, Shuang Li, Tianyu Huang. “Dual-GT: Dual-scale Spatial Dependency for Grid-Based Traffic Flow Prediction”, IEEE Conference on Computer Communications (INFOCOM), 2025, CCF-A.
  • - [J1] Fu, Jun, Xianrui Ji, Dexiong Chen, Guosheng Hu, Shuang Li, Xiating Feng. “AdvMixup: Adversarial Mixup Regularization for Deep Learning”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025, SCI 1区.
  • - [C1] Li, Mingjia, 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] Xie, Mixue, 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] Cai, Lincan, 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.
  • - [C4] Ma, Wenxuan, Shuang Li*, Lincan Cai, Jingxuan Kang. “Learning Modality Knowledge Alignment for Cross-Modality Transfer”, International Conference on Machine Learning (ICML), 2024, CCF-A.
Research Experience
  • - Intern, Microsoft Research Asia (MSRA), 11/2016 - 02/2017
  • - Visiting Scholar, Cornell University, 11/2015 - 06/2016, Advisor: Prof. Kilian Weinberger
  • - Assistant Professor, Beijing Institute of Technology (BIT), 07/2018 - 07/2022
  • - Associate Professor, Beijing Institute of Technology (BIT), 07/2022 - 07/2024
Education
  • - Ph.D., Department of Automation, Tsinghua University, Sep. 2012 - Jun. 2018, Advisor: Prof. Shiji Song
  • - B.E., Automation, Northeastern University, Sep. 2008 - Jun. 2012
Background
  • Research Interests: Deep Learning, Transfer Learning, Multimodal Learning, Analysis and Application of LLM. Currently, an Associate Professor (Tenure Track) and PhD Supervisor at the School of Artificial Intelligence, Beihang University.
Miscellany
  • Homepage links: [GitHub](https://github.com/shuangliai), [Google Scholar](https://scholar.google.com/citations?user=shuangliai), [ResearchGate](https://www.researchgate.net/profile/shuangliai), [dblp](https://dblp.org/pid/20/12345)