FITEE“金融大模型理论及应用”专题征稿通知

（2025年5月1日截稿）

得益于人工智能领域大模型技术的发展，金融科技领域正在发生一场巨大的技术变革。以语言大模型、多模态大模型为代表的大规模神经网络基础模型，具备高层次语义理解、信息分析能力，有望重塑金融机构处理信息、管理风险和与客户互动的方式，并为涵盖风险评估、投资决策、量化交易、客服投顾到合规监管的传统金融全生命周期服务流程提供更智能化的解决方案。

为了汇集金融大模型（包括语言大模型、多模态大模型、时间序列大模型等）理论及应用领域的最新研究成果，弥合学术研究与实际应用之间的差距，推动金融大模型在实际业务中的创新应用，中国工程院院刊《信息与电子工程前沿（英文）》（FITEE）邀请加拿大皇家科学院/加拿大工程院院士杨强教授和清华深圳国际研究生院李秀教授担任共同主编，筹备“金融大模型理论及应用”专题。

征稿方向包括（但不限于）：

l  面向金融服务的垂域大模型训练和评估研究

l  金融大模型驱动的智能资产组合管理策略生成

l  基于金融大模型的智能量化交易算法研究

l  金融大模型在智能投顾领域的创新解决方案

l  金融大模型的可解释性及其在金融合规风控中的应用

l  面向金融大模型的安全与隐私的理论与算法研究

l  金融大模型在金融数据挖掘中的应用

l  结合金融大模型的金融异常和犯罪检测方案

l  金融大模型在环境、社会与公司治理（ESG）投资中的应用

欢迎综述、研究、观点等类型稿件。期待国内外相关领域专家、学者踊跃投稿！为推动国际合作，特别鼓励中国学者与国外学者合作撰稿。

专题编委会

主编

杨强教授，微众银行，加拿大皇家科学院/加拿大工程院院士

李秀教授，清华大学深圳国际研究生院

执行主编

刘硕凌博士，易方达基金管理有限公司创新研究中心总经理

Xiaojun Zeng教授，英国曼彻斯特大学

编委（按姓氏字母序）

安波教授，新加坡南洋理工大学

陈丽园，易方达基金管理有限公司副总裁

郭健教授，粤港澳大湾区数字经济研究院（IDEA）执行院长

王健宗博士，平安科技有限公司副总工程师

郑淼，阿里云计算有限公司金融行业首席技术官

重要时间点：

截稿：2025年5月1日

录用：2025年8月1日

见刊：2025年9-10月

投稿说明：

来稿请用英文撰写；可接受Word或LaTeX格式投稿。如用Word，建议采用通栏、1.5倍行距、10.5pt字号、新罗马字体；如用LaTex，请使用模板：https://www.fitee.zjujournals.com/en/about/7144/（LaTex template for FITEE）。

作者指南，详见https://www.fitee.zjujournals.com/en/aboutus/8550/

在线投稿：https://www.editorialmanager.com/zusc/（请选择文章类型：S.I.-FLM）

如有疑问，请联系：

严江鹏，yanjiangpeng@efunds.com.cn

刘硕凌，liushuoling@efunds.com.cn

Xiaojun Zeng, x.zeng@manchester.ac.uk

编辑部：jzus_zzy@zju.edu.cn，+86-571-88273162

Call for Papers | FITEE Special Feature on Theories and Applications of Financial Large Models

(Submission by May 1, 2025)

With the development of large model technologies in the field of artificial intelligence, a significant technological transformation is taking place in the Fintech sector. Large-scale neural network foundation models, such as language language models and large multimodal models, possess high-level semantic understanding and information analysis capabilities, which are expected to reshape the way financial institutions process information, manage risks, and interact with customers. These models also offer more intelligent solutions for the entire lifecycle of traditional financial services, including risk assessment, investment decision-making, quantitative trading, customer advisory, and compliance oversight.

To gather the latest research findings in the theory and application of financial large models (including large language models, large multimodal models, large time-series models, etc.), bridge the gap between academic research and practical applications, and promote innovative applications of large financial models in real-world business, Frontiers of Information Technology & Electronic Engineering (FITEE) is launching a special issue titled "Theory and Applications of Financial Large Models," co-edited by Prof. Qiang Yang, a Fellow of the Royal Society of Canada and the Canadian Academy of Engineering from the Hong Kong University of Science and Technology, and Prof. Xiu Li from Tsinghua Shenzhen International Graduate School.

The special issue will solicit papers on (but not limited to) the following topics:

l  Research on training and evaluation of financial large models

l  Generation of intelligent portfolio management strategies driven by financial large models

l  Research on intelligent quantitative trading algorithms based on financial large models

l  Innovative solutions in the area of robo-advisory using financial large models

l  Explainability of financial large models and their applications in financial compliance and risk control

l  Theoretical and algorithmic studies on security and privacy for financial large models

l  Application of financial large models in financial data mining

l  Solutions for financial anomaly and crime detection incorporating financial large models

l  Applications of financial large models in Environmental, Social, and Governance (ESG) investing

Editorial Board

Editor-in-Chief

Prof. Qiang Yang, WeBank, China, Fellow of the Royal Society of Canada/Canadian Academy of Engineering

Prof. Xiu Li, Tsinghua Shenzhen International Graduate School, China

Executive Lead Editor

Dr. Shuoling Liu, Manager of Innovation Research Center, E Fund Management Co., Ltd., China

Prof. Xiaojun Zeng, University of Manchester, UK

Editors (in alphabetical order by last name)

Prof. Bo An, Nanyang Technological University, Singapore

Ms. Liyuan Chen, E Fund Management Co., Ltd., China

Prof. Jian Guo, Digital Economy Institute of Guangdong-Hong Kong-Macao Greater Bay Area (IDEA), China

Dr. Jianzong Wang, Deputy Chief Engineer of Ping An Technology Co., Ltd., China

Mr. Miao Zheng, Chief Technology Officer for the Financial Sector, Alibaba Cloud Computing Co., Ltd., China

Submission Instructions

All submitted manuscripts must be written in English and must not be under consideration elsewhere for publication. Guidelines for authors are available at https://www.fitee.zjujournals.com/en/aboutus/8550/. Either Word or LaTeX format is acceptable. When Word is used, the layout of the text should be in single column, 1.5 lines spacing, 10.5 pt font size, and Times New Roman font. A template is available at https://www.fitee.zjujournals.com/en/about/7144/.

Manuscripts should be submitted via https://www.editorialmanager.com/zusc/ under the article type “S.I. - FLM”.

Important Dates

Manuscript submission by May 1, 2025

Acceptance notification by Aug. 1, 2025

Publication date: Sept.-Oct, 2025

Introduction to FITEE

FITEE is a peer-reviewed journal launched by the Chinese Academy of Engineering (CAE) and Zhejiang University, and co-published by Springer & Zhejiang University Press. It is SCI-E indexed, with an IF of 2.7 (2023 JCR). FITEE aims to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering. All articles will undergo international peer review and crosscheck processes before they are accepted to ensure high quality.

For inquiries regarding this special issue, please contact:

Dr. Jiangpeng Yan, yanjiangpeng@efunds.com.cn

Dr. Shuoling Liu, liushuoling@efunds.com.cn

Prof. Xiaojun Zeng, x.zeng@manchester.ac.uk

Editorial Office, Ziyang Zhai (managing editor), jzus_zzy@zju.edu.cn, +86-571-88273162

--------------------------

关于本刊

Frontiers of Information Technology & Electronic Engineering（简称FITEE，中文名《信息与电子工程前沿（英文）》，ISSN 2095-9184，CN 33-1389/TP）是信息电子类综合性英文学术月刊，SCI-E、EI收录，最新影响因子2.7，位于JCR Q2分区。前身为2010年创办的《浙江大学学报英文版C辑：计算机与电子》，2015年更为现名，现为中国工程院院刊信息与电子工程领域分刊。覆盖计算机、信息与通信、控制、电子、光学等领域。文章类型包括研究论文、综述、个人视点、评述等。现任主编为中国工程院院士潘云鹤、费爱国。实行国际同行评审制，初次转达意见一般在2~3个月内。文章一经录用将快速在线。

荣获中国科协等七部委推出的中国科技期刊卓越行动计划项目资助（一期和二期，梯队期刊）。2021~2022年，先后入选信息通信领域（中国通信学会组织评选）和计算领域（中国计算机学会组织评选）高质量科技期刊分级目录，均被列为最高的T1级别；入选中国计算机学会推荐国际学术会议和期刊目录-2022（交叉/综合/新兴）。2024年，入选《中国人工智能学会推荐国际学术会议和国际/国内期刊目录》（人工智能基础与综合领域，B类国际期刊）。

期刊主页：https://www.fitee.zjujournals.com

https://link.springer.com/journal/11714

投稿：http://www.editorialmanager.com/zusc

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