Zhaoji Wang (王兆基)
Hi! I'm Zhaoji Wang, a PhD candidate in Information Science at the Department of Information Management, Peking University, and also affiliated with the Research Center for Digital Humanities, Peking University (PKUDH) under the supervision of Prof. Jun Wang since 2024. I am a member of the "Peking University-ByteDance Digital Humanities Open Lab" within the Institute for Artificial Intelligence, Peking University. My research focuses on Digital Humanities, Ancient Chinese Information Processing, and Computational Linguistics. I have participated in several significant research projects, including those funded by the National Natural Science Foundation, National Social Science Foundation, and Beijing Social Science Foundation.
I am responsible for the research and development of multiple digital humanities infrastructure projects, such as the "Wu Yu Dian" Intelligent Data Platform (吾与点智能数据平台) and the "Wu Yu Dian" Intelligent Annotation Platform (吾与点智能标注平台) at Peking University, and the "Tongjiazi Online Resource Library" (通假字在线资源库) at Beijing Normal University. Additionally, I am responsible for the development of the "Jing Ji Zhi Zhang" Chinese Historical Bibliography Analysis System (“经籍指掌”——中国历代典籍目录分析系统) at Peking University. I was honored with the Best Paper Award at CCL 2023.
Previously, I worked under the tutelage of Prof. Renfen Hu as a Master's student in Linguistics and Applied Linguistics at Beijing Normal University, where I earned my Master of Arts degree, focusing on Chinese Information Processing, Computational Linguistics, and Digital Humanities.
Before that, I worked with Prof. Min Zhu at Sichuan University's Visual Computing Laboratory (SCUVIS), delving into Data Visualization. In 2021, I graduated from Sichuan University with dual degrees in Chinese Language & Literature (B.A.) and Computer Science & Technology (B.E.), studying at the esteemed Wu Yuzhang Honors College. This multidisciplinary education has equipped me with unique insights, bridging the worlds of technology and literature.
Since March 2023, I have been serving as Co-Founder and Lead Engineer at Jinghong Software, a leading AI startup in China. Our company specializes in developing innovative AI-driven applications and customized solutions for both B2C and B2B markets. We've successfully launched popular WeChat and Douyin Mini Programs centered around AI conversational capabilities, such as "Wenzhi AI" and "Chat Treasure". Our expertise extends to providing tailored AI solutions for government and enterprise clients, including dialogue platforms, knowledge-enhanced Q&A systems, and data annotation systems. At Jinghong Software, I lead the entire technology stack, from frontend and backend development to large language model engineering. I've spearheaded the development of our proprietary data annotation platform, advanced large model training framework, and multiple successful end-user applications. Among our diverse projects, we've developed FastPassAI, a website that leverages large language models to help students efficiently prepare for various English exams. Our company's unique "trinity" technical ecosystem encompasses data generation and processing, large model training and optimization, and end-application implementation, enabling us to deliver comprehensive AI solutions across various domains.
Feel free to reach out to me at zhaojiwang[at]stu.pku.edu.cn.
Visit my LinkedIn profile: Zhaoji Wang | LinkedIn
Visit my blog: One Zhaoji | The place where Zhaoji Wang writes
Visit my GitHub profile: frederick-wang (Irisjiel)
Visit my lab personal homepage: Zhaoji Wang | Research Center for Digital Humanities of Peking University
Teaching
Special Topics in Digital Humanities: Research and Project Practice (数字人文专题研究与项目实践)
Taught by Prof. Jun Wang · Project-based practical course
- Curated tiered learning resources and provided hands-on guidance for the instructor-assigned warm-up exercise, in which each student built a research-material collection agent to get familiar with vibe coding and agent development.
- Held a Q&A session advising student groups on agent development, and provide ongoing technical support and guidance for students' self-proposed research projects, which they report on monthly and develop into a final paper submission.
AI-Driven Interpretation of Historical Texts (历史的智能演绎)
Taught by Prof. Jun Wang and Prof. Hong Hu · Jointly offered by the Research Center for Digital Humanities, the Department of History, and the Institute for Artificial Intelligence
- Designed and developed the course website and teaching platform, on which student groups deployed and tested their historical-figure AI agents.
- Developed the platform's Game Master system, which orchestrates multi-agent historical-scenario simulations with generated illustration and voice-over.
- Delivered guest lectures on AI implementation topics, provided technical guidance to student groups, and evaluated AI-related assignments.
Computational Culture and Computational Social Research (计算文化与计算社会研究)
Taught by Prof. Jun Wang
- Assisted with teaching administration, exercise sessions, class discussions, and grading.
Introduction to Intelligent Philology (智能文献学概论)
Taught by Prof. Jun Wang
- Designed the hands-on sequence labeling assignment on classical Chinese texts, with datasets and evaluation scripts.
- Developed the scaffold code for the intelligent Q&A system projects and lectured on building them.
- Compiled weekly Q&A summaries and graded final projects, in which student teams built intelligent Q&A systems, knowledge graphs, and agents over classical texts.
Python Programming and Data Analysis (Python编程与数据分析)
Taught by Prof. Renfen Hu · Undergraduate general education course
- Built and maintained the course website, and designed the gamified "Starter Village" programming assignments used across two cohorts.
- Managed the course's Luogu online judge team, organizing programming practice and the online programming exam.
- Delivered recitation sessions walking through assignment solutions, and graded student submissions.
Object-Oriented Programming in Python (面向对象的程序设计(Python))
Taught by Prof. Renfen Hu · Graduate required course (offered as Object-Oriented Programming and Natural Language Processing in Fall 2022)
- Built and maintained the course website, and designed the "Starter Village" programming assignments with original OJ problems.
- Delivered weekly recitation sessions walking through assignment solutions.
- Prepared and graded the midterm exam and the online programming exams on Luogu.
Innovation and Entrepreneurship in the Intelligent Era (智能时代与创新创业)
Taught by Lecturer Yanhui Huang · Undergraduate general education course (SPOC), three semesters
- Assisted with weekly assignments, Q&A, and grading across three semesters, and organized cross-school project teams.
- Designed the course's online teaching workflow for the remote Spring 2020 semester.
- Gave an in-class talk on developing an intelligent assessment system.
- Contributed to the course's designation as a Sichuan Provincial First-Class Undergraduate Course (2021) as a member of the course team.
Publications
Wenqi Li, Zhaoji Wang, Hanxu Yu, Qianting Lai, Jun Wang. 2024. Book cluster: a new approach to explore the evolution of knowledge organization in ancient China [J]. Digital Scholarship in the Humanities, 39(4):1064-1074. https://doi.org/10.1093/llc/fqae055
SSCI Journal PDF
Yue Li, Shurui Wang, Zhou Lv, Zhaoji Wang, Yunbiao Zhao, Ying Xie, Yang Xu, Liu Qian, Yaodong Yang, Ziqiang Zhao, Jin Zhang. 2024. Transforming the synthesis of carbon nanotubes with machine learning models and automation [J]. Matter. https://doi.org/10.1016/j.matt.2024.11.007
Cell Press PDF
Cong Wang, Yisen Sun, Zhaoji Wang. 2025. AI作用于科学研究的机制探析 (Analysis of the Mechanism of AI Acting on Scientific Research) [C]// Zeqi Qiu (邱泽奇). Chinese Social Research (中国社会研究), Vol. 5. Beijing: Social Sciences Academic Press: 42-63.
Academic Collection (集刊) ISBN 978-7-5228-6145-6
Zhaoji Wang, Wanyu Si, Jun Wang. 2026. Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese Histories [J]. arXiv preprint arXiv:2607.27595.
Preprint arXiv
Peking University
Beijing Normal University
Sichuan University