Xiaojun Wu

About Me

I am a researcher in FinAI Center of IDEA, initial members Fengshenbang Team previously. I am engaged in pre-trained large language model work, including LLM, Multimodal LLM, and Diffusion-based AIGC model. Internship and work experience include internet companies, state-owned enterprises, and research institutes. Rich in technical passion and curiosity, enjoys sharing (with over on Zhihu) and exploring Multimodal, Generative AI, and General Artificial Intelligence.

Experiences

Education

• [2024.09 - ] Joint PHD program of HKUST(GZ) and IDEA Research, co-supervised by Prof.Jia LI and Prof.Jian GUO
• [2018.09 - 2020.07] Master’s in Information Science, supervised by Prof.Jimin Wang, scie lab, Peking University
• [2014.09 - 2018.07] Bachelor’s in Information Management and Information Systems, Xidian University

Intern and Work

• [2021.07 - Present] Algorithm Engineer, IDEA
• [2020.07 - 2021.07] Algorithm Engineer, The Smart City Research Institute of CETC(China Electronics Technology Group Corporation)
• [2019.07 - 2020.05] Big Data Development Intern, ByteDance
• [2018.07 - 2018.10] Data Analysis Intern, Chinese Academy of Science and Technology for Development

Research Interests

• FinAI: FinLLM, ChartVLM, Quant Trading
• Multi-modal: Multi-modal LLM, Stable Diffusion model
• NLP: LLM, Natural Language Understanding, Information Retrival, Natural Language Generation

Publications

Citation Map

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