Xiaojun Wu

About Me

Initial members of the IDEA Research Institute’s Fengshenbang Team(封神榜团队), 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 10,000 Fans and 1,000,000 Reads on Zhihu) and exploring Multimodal, Generative AI, and General Artificial Intelligence.

Experiences

Education

• [2014.09 - 2018.07] Bachelor’s in Information Management and Information Systems, Xidian University
• [2018.09 - 2020.07] Master’s in Information Science, supervised by Prof.Jimin Wang, scie lab, Peking University

Intern and Work

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

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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