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Editor's Note: In the wake of the digital revolution, electronic evidence has emerged as the "king of evidence" in judicial practice, while the deep integration of artificial intelligence is propelling legal operations into a new era of intelligent transformation. To align with the national call for strengthening the convergence of information technology and legal studies, Renmin University of China School of Law is officially launching the fourth session of its "Advanced Training Workshop on Electronic Evidence and Intelligent Case Handling" (2025).


This session of the training program is hosted by the Law School of Renmin University of China, with co-organization from Beijing Xinglai Law Firm. The course brings together leading experts from both theoretical and practical fields, focusing on cutting-edge topics such as electronic evidence rules, big data analytics, blockchain-based evidence preservation, and AI-driven evidence review. Through case studies and hands-on exercises, it empowers legal professionals to master the core skills needed for intelligent case management. Five The upcoming course will be conducted by Ph.D. in Computer Science and Senior Engineer at the Institute of Software, Chinese Academy of Sciences Deng Changzhi Lecture: "A Penetrative Review Method and Application of Electronic Evidence in Funds" 》.

More course details will be released soon—stay tuned!









A Penetrative Review Method and Application for Electronic Evidence of Funds

Deng Changzhi






Deng Changzhi, Ph.D. in Computer Science and Senior Engineer at the Institute of Software, Chinese Academy of Sciences

Preview of course content

Digital crime methods are constantly evolving, and as financial flows weave intricate patterns across multiple data sources, how can we cut through the layers of disguise to pinpoint critical evidence? And how do we navigate the complex maze surrounding the examination of electronic financial evidence?

Dr. Deng Changzhi kicked off the session with "A Penetrative Review Method and Application of Electronic Financial Evidence," delving into the background of the Ministry of Public Security's "Jinxi Weizheng" project. He provided an in-depth analysis of the entire process—how electronic financial evidence transforms from mere "data" into compelling "evidence." Addressing three key challenges—massive volumes of financial data, intricate financial relationships, and tight review timelines—Dr. Deng systematically outlined the rules for acquiring electronic financial evidence, advanced techniques for data cleansing and organization, robust penetration-analysis models, and best practices for crafting professional reporting methodologies.

In addition, the course will focus on offenses such as illegal fundraising and the crime of issuing false VAT invoices. Through analysis of real-life cases, it will demonstrate how to apply penetrating review techniques to unravel multi-layered financial networks, extract critical insights from diverse data sources, and equip participants with the essential skill of assembling a comprehensive evidence chain from fragmented information.

Preview of selected course materials

The speaker provides a detailed introduction.


Deng Changzhi, a PhD in Computer Science and a senior engineer at the Institute of Software, Chinese Academy of Sciences, has long been deeply engaged in the fields of economic crime fund investigation and analysis technologies, electronic evidence research related to financial transactions, and human-computer interaction—combining profound academic expertise with extensive practical experience.

Dr. Deng Changzhi has received a systematic academic training. As the principal investigator, I have led projects under two National Key R&D Programs, one National Support Project, and one National Natural Science Foundation for Young Scientists. Additionally, I’ve participated in three other national research initiatives. From 2004 to 2008, I spearheaded a research team at the National Audit Office to develop an interconnected audit platform, addressing the critical issue of financial auditors being unable to access bank account data. This breakthrough provided vital technical support during that year’s landmark financial audit crackdown. From 2012 to 2022, I guided my team in creating a series of advanced application systems for the Ministry of Public Security, including the Illegal Fund Investigation and Control Platform, the Anti-Money Laundering Analysis Platform, the Tax-Related Crime Analysis Platform, and the Illegal Fundraising Analysis and Assessment Platform. These systems have since been widely deployed across China’s public security economic investigation networks. In 2023, I led the team to develop a cutting-edge Financial Crime Fund Review System at the Supreme People’s Procuratorate, successfully piloting it in over ten procuratorates nationwide. These innovative systems have revolutionized the way economic crime investigations and prosecutions are conducted by leveraging technology, significantly enhancing the efficiency of combating economic crimes while delivering substantial social and economic benefits. To date, I hold dozens of patents and software copyrights, and I’ve authored the authoritative book *Practical Guide to Illegal Fund Analysis and Investigation Techniques*.

In the investigation of major economic and financial cases by the Ministry of Public Security and the procuratorial authorities, Dr. Deng Changzhi has spearheaded big data analysis and intelligence assessment of financial flows, contributed to the development of information standards and guidelines for economic crime investigation at the Ministry of Public Security, and played a key role in IT projects undertaken by institutions such as the China Development Bank, helping to translate technological advancements into practical law enforcement applications.

Dr. Deng Changzhi Several academic breakthroughs have also been achieved in the field of human-computer interaction: ( 1 ) Theoretical innovation: Proposing a framework for personal information management Post-WIMP Interface Model PWPIM ), addressing the issue of information fragmentation in pervasive computing environments through multi-dimensional modeling; ( 2 ) Technology implementation: Building an adaptive pen-based interface development framework CFAPUI ), applied to the pen-based form system, significantly enhances interaction efficiency.

Dr. Deng Changzhi seamlessly blends deep scientific research with practical industry insights, excelling at connecting complex technical theories with real-world case studies. His courses cover cutting-edge topics such as economic crime investigation techniques, electronic evidence analysis, and human-computer interaction design—areas he draws upon through his extensive experience gained from national-level projects. This approach equips students with a knowledge framework that not only reaches academic excellence but also delivers tangible, real-world value. With a meticulous academic approach, wealth of hands-on experience, and an engaging teaching style, Dr. Deng empowers learners to master core technologies and strengthen their competitive edge in the industry.


We sincerely invite the legal community to register and join us!

You're also welcome to help spread the word!


Training Program Overview


01

Course Highlights

This training course covers a comprehensive "theory + technology + practical application" approach, featuring specially invited top scholars and leading experts who will jointly deliver the sessions. The content includes:

Cutting-edge technology: Large-model applications in the judiciary, standards for digital forensic examination of electronic data, and AI system cybersecurity and defense.

Case-handling Practice: New-style electronic evidence review, massive fund analysis, and cybercrime data-driven case handling

Tool practice: Intelligent evidence review, big data visualization analysis, and hands-on training with electronic evidence review software

Case-Based Teaching A comprehensive analysis of evidence and cross-examination in high-profile cases involving telecom fraud, illegal fundraising, and casino operations.


Format: Classroom lectures + Software training sessions + Academic seminars + Criminal defense gala

[Preview of Renmin University's Electronic Evidence Training Course (1)] Liu Pinxin: Principles of the Electronic Evidence Data Field and Analysis of Notable Cases

[Preview of Renmin University’s Electronic Evidence Training Course (Part 2)] Zou Jinpei: Machine Learning for Fraud Detection — A Case Study on Bitcoin


[Preview of Renmin University's Electronic Evidence Training Course (3)] Gao Xiansong: Analysis and Cross-Examination of Databases and Network Logs in Legal Cases


02

[Preview of Renmin University's Electronic Evidence Training Course (4)] Zhang Peijun: Exploring Evidence Collection and Defense Strategies for Instant Messaging Chat Logs

The course is primarily taught by the "Renmin University of China Electronic Evidence Research Team," which has long been dedicated to the interdisciplinary study of law and technology, as well as the dynamic interaction between theory and practice.


This training session will be led by Professor Liu Pinxin from the Law School of Renmin University of China, and will also feature other distinguished experts and scholars from both academia and practice, who are part of the team. The organizers will carefully tailor the faculty and curriculum to align with the participants' professional backgrounds and research interests, ensuring top-notch training quality and service excellence.

03

A Look Back at Past Highlights












Registration Process and Contact Information

1. Registration

Scan the QR code below, download the registration form, fill it out, and send it via email to rucfaxuepeixun@ruc.edu.cn.

2. Confirm

After receiving email confirmation of successful registration, you may proceed with payment. Participants who pay using the provided payment link to enjoy the discounted rate must call Teacher Wan at (010) 62510145 to request a system update.

3. Registration Inquiries

Teacher Wan: (010) 62510145,

13301307655 (also on WeChat)

Teacher Zhang: (010) 62510145,

               13260160362

(WeChat: celi1730)

Ms. Li: (010) 62510145,

18911821663 (also on WeChat)

Fax: (010) 62514365

Email: rucfaxuepeixun@ruc.edu.cn

Address: Room 611, Mingde Law Building, No. 59 Zhongguancun Street, Haidian District, Beijing

05

Fee Structure

The training fee is 7,980 yuan per person (including instructor fees, material costs, certification fees, and other expenses), but does not cover accommodation, meals, or transportation costs.

Preferential policies:

Alumni of Renmin University of China (School of Law), or three or more individuals from the same organization, who register together will receive a 10% discount (CNY 7,180).

More than 10 people (including 10) from the same organization (or group) who register will receive a 20% discount (priced at 6,380 yuan).

All organizations are welcome to register collectively.

Admission Brochure Link

Enrollment Prospectus for the 4th Advanced Training Workshop on Electronic Evidence and Intelligent Case Handling (2025), School of Law, Renmin University of China


In July, meet us on Renmin University campus and let’s together unlock the doors to the future of intelligent case handling!

Early Forecast Compilation

[人大 Electronic Evidence Training Course Preview (1)] Liu Pinxin: Principles of the Electronic Evidence Data Field and Analysis of Notable Cases

[人大 Electronic Evidence Training Course Preview (Part 2)] Zou Jinpei: Machine Learning for Fraud Detection — A Case Study on Bitcoin

[人大 Electronic Evidence Training Course Preview (3)] Gao Xiansong: Analysis and Cross-Examination of Databases and Network Logs in Legal Cases

[人大 Electronic Evidence Training Course Preview (4)] Zhang Peijun: Exploring Evidence Collection and Defense Strategies for Instant Messaging Chat Logs





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