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.
- [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.
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.