Shuyang Jiang

Shuyang Jiang

Fudan University

I am a second year Ph.D student from School of Computer Science, Funda University and co-supervised and sponsored by Shanghai AI Laboratory.
My research interest includes

  • natural language processing,
  • efficient machine learning and downstream adaptation and
  • alignment of large language models in the Healthcare/Clinical domain.

I am fortunate to be advised by Prof. Yu Wang and Prof. Ya Zhang. The resume can be found here

🎓 Educations

  • 2023.06 - Current, Fudan University, School of Computer Science, Shanghai, Ph.D.
  • 2019.09 - 2023.06, Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, Bachelor Degree

📝 Publications

Highlight

ICLR 2025 Spotlight
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  • Jiang, S., Liao, Y., Zhang, Y., Wang, Y., & Wang, Y. (2025). Fine-tuning with Reserved Majority for Noise Reduction. In The Thirteenth International Conference on Learning Representations. [Link]
Arxiv Preprint
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  • Jiang S, Liao Y, Chen Z, et al. MedS $^ 3$: Towards Medical Small Language Models with Self-Evolved Slow Thinking[J]. arXiv preprint arXiv:2501.12051, 2025.
    [Link]
NeurIPS 2024
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  • Jiang, S.*, Liao, Y.*, Zhang, Y., Wang, Y., & Wang, Y. (2024). TAIA: Large Language Models are Out-of-Distribution Data Learners. In Advances in Neural Information Processing Systems (pp. 105200–105235). Curran Associates, Inc.. [Link]
ICML 2023
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  • Zhang J*, Jiang S*, Feng J, et al. Cab: comprehensive attention benchmarking on long sequence modeling[C]//International Conference on Machine Learning. PMLR, 2023: 41194-41218.
    [Link]
Arxiv Preprint
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  • Jiang S, Wang Y, Wang Y. Selfevolve: A code evolution framework via large language models[J]. arXiv preprint arXiv:2306.02907, 2023.
    [Link]
ECML-PKDD 2023
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  • Jiang S, Zhang J, Feng J, et al. Attentive Multi-Layer Perceptron for Non-autoregressive Generation[C]//Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Cham: Springer Nature Switzerland, 2023: 612-629.
    [Link]

Others

EMNLP 2024
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  • Liao Y, Jiang S, Chen Z, et al. MedCare: Advancing medical LLMs through decoupling clinical alignment and knowledge aggregation[C]//Findings of the Association for Computational Linguistics: EMNLP 2024. 2024: 2538-2554.
    [Link]
EMNLP 2024
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  • Su H, Jiang S, Lai Y, et al. EvoR: Evolving Retrieval for Code Generation[C]//Findings of the Association for Computational Linguistics: EMNLP 2024. 2024: 2538-2554.
    [Link]

💻 Internships

  • 2022.01 - 2023.04, Shanghai Artificial Intelligence Laboratory, Intern Researcher