🚩 About Me

I’m currently a PhD Student from School of Computer Science (SCS), Beijing University of Posts and Telecommunications (BUPT), supervised by Prof. Haihong E. Before that, I received the bachelor degree at School of Computer Science (SCS), Beijing University of Posts and Telecommunications (BUPT) in 2023.

My research interest includes domain-specific knowledge reasoning and multimodal large language model. I have published 7 papers at the top international AI conferences such as ACL, ICCV, NeurIPS, AAAI, with total google scholar citations 190+.

If you are seeking any form of academic cooperation, please feel free to email me with tangzichen@bupt.edu.cn.

🔥 News

  • 2025.11:  🎉 One paper is accepted by AAAI 2026.
  • 2025.06:  🎉 One paper is accepted by ICCV 2025.
  • 2025.05:  🎉 One paper is accepted by ACL 2025.

📝 Publications

AAAI 2026
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FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation

Zichen Tang, Haihong E*, Rongjin Li, Jiacheng Liu, Linwei Jia, Zhuodi Hao, Zhongjun Yang, Yuanze Li, Haolin Tian, Xinyi Hu, Peizhi Zhao, Yuan Liu, Zhengyu Wang, Xianghe Wang, Yiling Huang, Xueyuan Lin, Ruofei Bai, Zijian Xie, Qian Huang, Ruining Cao, Haocheng Gao

Project (Coming soon) Presentation (Coming soon)

  • We present FinMMDocR, a new bilingual multimodal benchmark for evaluating MLLMs in financial numerical reasoning, featuring real-world scenarios, visually-rich documents, and multi-step computations.
ICCV 2025
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FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging

Zichen Tang, Haihong E*, Jiacheng Liu, Zhongjun Yang, Rongjin Li, Zihua Rong, Haoyang He, Zhuodi Hao, Xinyang Hu, Kun Ji, Ziyan Ma, Mengyuan Ji, Jun Zhang, Chenghao Ma, Qianhe Zheng, Yang Liu, Yiling Huang, Xinyi Hu, Qing Huang, Zijian Xie, Shiyao Peng

Project Presentation

  • We present FinMMR, a novel bilingual multimodal benchmark, spanning 14 subdomains and diverse chart types, aiming to advance MLLMs’ real-world financial reasoning capabilities.
ACL 2025
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FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging

Zichen Tang, Haihong E*, Ziyan Ma, Haoyang He, Jiacheng Liu, Zhongjun Yang, Zihua Rong, Rongjin Li, Kun Ji, Qing Huang, Xinyang Hu, Yang Liu, Qianhe Zheng

Project Presentation

  • We present FinanceReasoning, a new benchmark for evaluating large reasoning models (LRMs) in financial numerical reasoning, featuring enhanced rigor and an open-source function library.

🎖 Honors and Awards

  • 2024.12 National Scholarship for Excellent MS. Students. (Top 2%)
  • 2022.12 National Scholarship for Excellent Undergraduate Students. (Top 1%)
  • 2020.12 National Scholarship for Excellent Undergraduate Students. (Top 1%)

📖 Educations

  • 2023.09 - 2025.10 (now), PhD student, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing.
  • 2018.09 - 2023.06, Undergraduate, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing.
  • 2015.09 - 2018.06: High school student, No.1 Middle School, Xuzhou, Jiangsu Province.

💬 Invited Talks