LMTA 2026 · Hong Kong, China
From July 24 to 26, 2026, the 2026 International Conference on Large Language Model Technology and Applications (LMTA 2026) concluded successfully in Hong Kong, China. The conference was sponsored by the Hong Kong Institute of Educational Technology and Talent Innovation Development, and jointly organized by the Hong Kong Postdoctoral Joint Training Research Station, the Hong Kong Centre for Science, Technology and Innovation Development, and the International Academic Organizations Alliance. The event featured three high-level keynote speeches, two invited speeches, as well as 21 oral presentations and poster sessions. It brought together experts and scholars from domestic and international universities and research institutions, both on-site and online, to the Pearl of the Orient. Participants engaged in in-depth discussions on cutting-edge topics such as large language model architecture optimization, multimodal learning, intelligent computing systems, and AI safety and governance, actively promoting the deep integration of academic research and industrial applications in large model technology.
The conference was moderated by Associate Professor Ata Jahangir Moshayedi from Dongguan University of Technology, and the opening address was delivered by Professor Wu Xiaowen from the Hong Kong Institute of Educational Technology and Talent Innovation Development. An appointment ceremony was held during the conference: Professor Ding Liangxi, Deputy Secretary of the Party Committee of Nanchang Institute of Technology and Postdoctoral Supervisor at the Hong Kong Postdoctoral Joint Training Research Station, presented a Visiting Professor certificate to Mr. Ma Yichao MH, Member of the Kwun Tong District Council, Chairman of the International Youth Cultural Exchange Centre, and Director of the Hong Kong Science and Technology Innovation Association, and a Distinguished Visiting Professor certificate to Mr. Yan Guosheng, Vice Director of the Hong Kong Science and Technology Innovation Association and Director of the Shenzhen-Hong Kong Science and Technology Innovation Cultural Exchange Centre (Bao'an District). Professor Sung Wook Baik from Sejong University, South Korea, the conference's Publication Chair, also attended the event in person.

Prof. Xiaowen Wu, Hong Kong Institute of Educational Technology Talent Innovation and Development, Hong Kong, China, delivering the opening address.

Associate Professor Ata Jahangir Moshayedi, Dongguan University of Technology, moderating the conference.

Group photo
The conference was honored to have Professor Shen Yajing from The Hong Kong University of Science and Technology, Professor Huang Huawei from Sun Yat-sen University, and Associate Professor Ata Jahangir Moshayedi from Dongguan University of Technology as keynote speakers. The three speakers shared their latest research findings, unlocking innovative pathways for large model applications in diverse scenarios such as smart manufacturing, smart agriculture, and digital cultural heritage conservation. Associate Professor Cui Peipei and Lecturer Liu Lili from Taiyuan University of Technology also delivered insightful invited speeches on AI-assisted cultural heritage conservation and restoration, and multimodal ethnic music generation, respectively.

Prof. Yajing Shen, The Hong Kong University of Science and Technology, China
Title
Tactile-Enabled Embodied Intelligent Robots: Manipulation and Interaction

Prof. Huawei Huang, Sun Yat-sen University, China
Title
AI Agent Prediction Markets on BrokerChain: From Research Assistants to Autonomous Settlement

Assoc. Prof. Ata Jahangir Moshayed, Dongguan University of Technology, China
Title
From Smart Agriculture to Intelligent Agro-Ecosystems: LLM-Based Robotic Systems for Next-Generation Sensing and Decision Support
The conference also featured two invited speeches, bringing participants innovative practices in interdisciplinary applications of large model technology.

Assoc. Prof. Peipei Cui, Taiyuan University of Technology, China
Title
AI-assisted Cultural Heritage Conservation and Restoration

Dr. Lili Liu, Taiyuan University of Technology, China
Title
Multimodal-Guided Ethnic Music Generation: Exploration and Practice of the MusDiff Framework
In addition, the conference hosted20 oral presentations and16 poster sessions. Young scholars from numerous universities and research institutions, including Northwestern Polytechnical University, Shanghai International Studies University (Shanghai Academy of Global Governance & Area Studies), Taiyuan University of Technology, Changsha University of Science & Technology, Southeast University, Zhejiang University, Wuxi Vocational College of Science and Technology, and Politecnico di Milano, enthusiastically shared their research findings. The presentation topics covered innovative applications of large models in multimodal learning, intelligent computing, cultural preservation, music generation, and beyond. During the coffee breaks, scholars engaged in discussions at the poster display area, exchanging ideas in a relaxed atmosphere and furthering their research directions. The lively on-site interactions effectively advanced the integration of large model technology with industrial practices.

ORAL PRESENTATION
Innovation City, Wisdom in Hong Kong. The2026 International Conference on Large Language Model Technology and Applications (LMTA 2026) has come to a successful conclusion with the joint efforts of all parties.
We sincerely express our gratitude to all sponsors, organizers, and supporting units for their dedication, to all speakers for their generous sharing, and to every participant for their enthusiastic engagement. Looking ahead, LMTA will continue to expand its international collaboration network, deepen university-industry collaborative innovation, focus on interdisciplinary integration and industrial application of large model technology, and promote more high-quality research outcomes from academic conferences to engineering practice.
This has been an unforgettable academic feast of wisdom and ideas in Hong Kong! We eagerly look forward to reuniting next year, joining hands with global scholars, industry experts, and young talents to embark on a broader and more dynamic new journey of research with greater openness and more concrete actions!
LMTA 2026 · Thank You for Joining Us