Dan Li (李丹)
Associate Professor · Master's Supervisor
“Read more, meet more people, see a broader world.”
Background
- Selected into SYSU "Hundred Talents Plan" as Young Academic Backbone in 2021.
- Postdoctoral researcher at NUS (2018–2021).
- PhD from NTU, co-funded by the Singapore-UC Berkeley Joint Program (2013–2017).
- B.Eng. from UESTC (2008–2012).
Research Interests
Cyber-physical systems (CPS), industrial IoT, industrial data governance, predictive maintenance, time series analysis, vertical LLM applications.
Research Grants
- 2025–2026: Xiaomi Open Challenge (PI)
- 2025–2026: CCF-Sangfor "Yuanwang" Fund (PI)
- 2024–2025: Huawei Collaboration (PI)
- 2022–2024: Guangdong NSF (PI)
Academic Service
Guest Editor: Mathematics
Area Chair: ICSOC 2023
PC Co-chair: ICSS 2022
Reviewer: IEEE TII, TASE, SIGKDD, ICLR, ICML, AAAI, KDD, etc.
Selected Publications
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Lightweight Time Series Data Valuation on TSFMs via In-Context Finetuning
Activation Approximations Can Incur Safety Vulnerabilities in Aligned LLMs
LicenseGPT: A Foundation Model for Dataset License Compliance
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion
Shared Representation Learning for Generalizable SOH Estimation
MAD-SGCN: Multivariate Anomaly Detection with Self-learning GCNs
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with GANs