Projects

My research has been supported by the NSFC, the Science and Technology Commission of Shanghai Municipality (STCSM), the Northeast Big Data Innovation Hub (NEBDHub), and by industry partners including Huawei and Alibaba.

Ongoing

• Network Data Science for Data-Communication Scenarios — a research think-tank project on data provenance, influence analysis, data-quality assessment, and the synthesis of network data (traffic, logs, KPI time series) for network sensing and operations. Funded by Huawei Technologies. 2025–2026. Principal Investigator.

• Evaluation, Data, and Post-Training for AI for Science — automated cleaning and filtering pipelines for scientific multimodal data, quality benchmarks for scientific foundation models, and reinforcement-learning methods for post-training multimodal reasoning, including diffusion-based language models. Funded by Alibaba (Alibaba Innovative Research, AI for Science). 2025–2026. Co-Principal Investigator (PI: Yanghua Xiao).

• Graph machine learning algorithms based on iterative local information — National Natural Science Foundation of China (NSFC). 2024–2026. Principal Investigator. ¥300K.

Completed

• Generative mechanisms of dynamic graph representation learning — Shanghai Pujiang Talent Program, Science and Technology Commission of Shanghai Municipality (STCSM). 2022–2024. Principal Investigator. ¥300K.

• Advancing embedding models for real-world networks (COVID-19 non-clinical research) — Northeast Big Data Innovation Hub. 2020–2021. Co-Principal Investigator (PI: Steven Skiena). $24,992.