HSE and China’s Top Universities to Launch Large-Scale Research and Education Projects
As part of the official visit of Russian President Vladimir Putin to the People’s Republic of China, the HSE delegation led by Rector Nikita Anisimov concluded new cooperation agreements with major Chinese universities. The agreements are designed to expand bilateral partnerships in education, science, and cultural exchange.
During the visit, the HSE University delegation met with the leadership of Tsinghua University, Peking University, and Beijing University of Technology, China’s top scientific and educational centres.
HSE Rector Nikita Anisimov
‘The strong overcome obstacles, and the wise overcome the entire journey. Cooperation with leading Chinese universities not only opens up new horizons in scientific research and knowledge exchange for Russian universities but also reinforces our position in the international educational space, serving as a key component of humanitarian cooperation between the Russian Federation and the People’s Republic of China. Together with our Chinese partners, today we took another important step towards mutual progress and prosperity.’
During the negotiations with our Chinese partners, two key agreements were signed. The first agreement with Tsinghua University focuses on the development of joint projects in the field of biology, ranging from molecular and computational neuroscience to AI-assisted big data analysis. This includes the formation of research groups, preparation of research publications, organization of internships for undergraduates and doctoral students, as well as holding of scientific and educational events. HSE doctoral students will have the opportunity to take internships at Tsinghua, while undergraduates will gain access to new academic mobility formats. The two universities also plan to launch dual degree programmes.
The academic exchange agreement signed with Peking University provides for an annual exchange of undergraduate and doctoral students. This document stipulates the procedures for selecting and assisting participants, their accommodation, administrative and visa support, and academic integration at the host institution. The agreement was published on the Kremlin website as one of the documents signed following the talks between the leaders of Russia and China.
In addition, during their visit, HSE representatives held separate meetings with Peking University units—in particular, with the School of Physics and the School of Management. They discussed the prospects for launching joint educational programmes, developing research initiatives, and participating in international grant competitions. The meetings were attended by HSE Vice Rector Victoria Panova, HSE MIEM Vice Rector and Director Dmitry Kovalenko, HSE MIEM Professor Andrey Vasenko, Dean of the HSE Faculty of Computer Science Ivan Arzhantsev, and Dean of the HSE Faculty of World Economy and International Affairs Anastasia Likhacheva.
The development of humanitarian cooperation and cultural exchange was among the key topics discussed at all the venues. The parties expressed interest in expanding programmes for learning Chinese in Russia and Russian in China, supporting youth initiatives and deepening academic dialogue between university communities.
HSE representatives also met with the university’s students and graduates studying or working in China. During their informal conversation, they shared experiences of participating in academic mobility programmes, talked about their professional plans, and discussed opportunities for future joint projects.
See also:
Mathematicians from Nizhny Novgorod and Shanghai Study System Stability
Mathematicians at HSE University–Nizhny Novgorod, in collaboration with colleagues from Tongji University in Shanghai, are investigating the fundamental causes of structural stability in systems and the mechanisms underlying its disruption. In this interview with the HSE News Service, Prof. Olga Pochinka, Head of the International Laboratory of Dynamical Systems and Applications at HSE University–Nizhny Novgorod and leader of the project ‘Qualitative Theory of Systems of Ordinary and Partial Differential Equations,’ discusses the project, which is being implemented as part of HSE University's International Academic Cooperation programme.
HSE in Minsk: Developing Cooperation with Belarus
On May 26–29, 2026, an HSE University team visited Minsk, the capital of Belarus. The purpose of the trip was to meet and hold talks with Belarusian universities and scientific organisations—HSE University's current and prospective partners.
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
HSE University at IRES 2026: Student Recruitment, Space Projects, and New Partnerships with India
The second Indo-Russian Education Summit (IRES 2026) took place in New Delhi on May 28–29. This year, the event brought together more than 70 leading Russian and Indian universities. Representatives from HSE University’s Moscow and St Petersburg campuses introduced prospective students to the university’s educational opportunities at the exhibition and shared their experience in developing Russian–Indian academic cooperation.
Scientific, Technological, and Educational Projects: Expanding Cooperation Between HSE University and China
Recently, an HSE delegation led by Rector Nikita Anisimov visited China. During the visit, the parties reached agreements to expand the portfolio of joint educational and research projects with some of the country’s leading universities. This article from the HSE News Service explores the development of HSE University’s cooperation with its Chinese partners.
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
‘Entering Robotics Now Means Growing with the Area’
Unmanned vehicles, courier robots, and smart speakers are rapidly becoming a part of our lives. In 2026, the HSE Faculty of Computer Science opens its new Bachelor’s Programme ‘Design of Intelligent Robotic Systems’ (DIRS). It will train specialists at the intersection of IT, artificial intelligence, and robotics. Academic Supervisor of DIRS Vadim Morgachev explains how studies are organised and why graduates of the programme ‘will definitely be accepted into the future.’
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.