Scholar
Chengjin Xu
Google Scholar ID: sIts5VgAAAAJ
International Digital Economy Academy & DataArc Tech Inc.
Citations & Impact
Citations
2,757
H-index
22
i10-index
36
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published 20+ papers as the first or corresponding author in top international conferences and journals in natural language processing (NLP) and data mining (DM), such as ICLR, NeurIPS, WWW, SIGIR, EMNLP, and TKDE. Additionally, over 20 papers were published in leading conferences and journals like TPAMI and KDD. In total, has published over 40 papers, with more than 2,000 citations (Google Scholar).
Research Experience
- Joined the Institute of Digital Economy of the Greater Bay Area (IDEA) in February 2023 as an AI Financial Research Scientist, leading projects on large-scale financial behavior knowledge graphs (KGs) and financial large language models (LLMs), focusing on quantitative investment, financial QA, sentiment analysis, and financial text analysis and generation based on KGs and LLMs.
Education
- Earned a Ph.D. from the Institute of Computer Science at the University of Bonn under the supervision of Professor Jens Lehmann; obtained bachelor's and master's degrees from Zhejiang University's School of Control Science and Engineering, specializing in time-series signal processing and pattern recognition.
Background
- Research interests include large language models (LLMs) and knowledge graphs (KGs), specifically LLM reasoning, LLM agents, multi-modal LLMs, knowledge-driven LLMs, KG representation learning, KG reasoning, and KG alignment.
Miscellany
- Looking for self-motivated interns at IDEA (Shenzhen). Interested in the above-mentioned research topics.
