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PolyU and TaxChina join hands to establish Joint Research Centre for AI Taxation, advancing innovative applications of AI in fiscal and taxation services industry

The Hong Kong Polytechnic University (PolyU) and TaxChina Intelligent Technology (TaxChina) signed a Memorandum of Understanding (MoU) on 3 August. Combining PolyU’s outstanding research strengths in fields such as AI, federated learning and data science with TaxChina’s extensive experience and rich application scenarios in the fiscal and taxation services industry, the two parties will establish the “Joint Research Centre for AI Taxation” (the Research Centre). The Research Centre will advance innovative applications of AI in the fiscal and taxation fields and promote intelligent development of the tax services industry. The signing ceremony was held on the PolyU campus. Witnessed by Prof. Jin-Guang TENG, PolyU President and Mr XU Zhaohong, Founder and Chairman, TaxChina, Prof. Christopher CHAO, PolyU Senior Vice President (Research and Innovation), and Mr LYU Pin, Chief Executive Officer, TaxChina (Beijing) AI Technology, signed the MoU on behalf of the two parties. Following this, the two parties held a plaque unveiling ceremony for the “Joint Research Centre for AI Taxation”. The ceremony was officiated jointly by Prof. Jin-Guang TENG; Professor Christopher CHAO; Prof. YANG Qiang, Director of the PolyU Academy for Artificial Intelligence, Chief Artificial Intelligence Officer and Chair Professor of Artificial Intelligence; Mr XU Zhaohong; Ms MA Xiaoman, Co-Founder and Executive Vice President, TaxChina; Mr LYU Pin; and Mr MA Ning, General Manager of Ecosystem Partnership Development Department, TaxChina, among others. The ceremony marked the official establishment of a dedicated AI taxation research and development platform between a higher education institution in the Asia-Pacific region and a leading tax services enterprise, opening a new chapter in industry-academia-research integration and intelligent transformation for the global tax services industry. The Research Centre will focus on three core directions: first, building a collaborative framework that “combines vertical large models with industry-specific professional models” to enhance intelligent decision-making capabilities in taxation scenarios; second, leveraging PolyU research strengths in federated learning to advance the application of privacy protection and collaborative training technologies while ensuring that “data never leaves the premises”; and third, deepening collaborative innovation across industry, academia and research to build a sustainable innovation ecosystem for AI-assisted taxation. Prof. Jin-Guang Teng said, “This collaboration deeply integrates TaxChina’s vast volume of high-quality data and its insightful industry practices with PolyU’s world-leading research strengths in AI and federated learning. We truly believe that this powerful partnership will lead the innovative development of intelligent taxation and fiscal technology, transforming the industry and delivering broader benefits to society. I hope that the Joint Research Centre will become a model for collaborative innovation across industry, academia and research, contributing to the high-quality development of the Nation’s digital economy, industrial transformation and upgrading, and the cultivation of high-calibre talent.” Mr Xu Zhaohong said, “With the arrival of the era of ‘digital tax administration’, corporate tax compliance has shifted from reactive response to proactive prevention, and the market displays strong demand for intelligent tax solutions that can adapt to global tax regimes. We strongly believe that this partnership with PolyU will narrow the gap between technology and application scenarios, developing the Research Centre into an internationally leading hub for AI taxation innovation, and cultivating interdisciplinary talent who possess expertise in both AI and taxation, thereby contributing to innovation in global tax governance.” As the intelligent economy accelerates, the global economic and trade landscape and governance systems are being reshaped, and the intelligentisation of taxation has become a significant trend in the industry’s development. AI is not merely a tool for enhancing efficiency; it is gradually becoming a key factor that drives the modernisation of tax governance, reduces cross-border compliance costs and enhances enterprise decision-making capabilities. At present, tax authorities around the world have widely applied AI in areas such as risk identification, intelligent auditing and data governance, while enterprise demand for intelligent compliance, automated tax calculation, and policy analysis and assessment is also growing rapidly. PolyU and TaxChina will empower professional tax services with cutting-edge AI technologies, driving the tax industry’s advancement from “digitalisation” to “intelligentisation”, and providing innovative solutions for global tax governance, corporate compliance and the upgrading of tax services. The Research Centre will establish a closed-loop research and development model in which “needs come from industry and results return to industry”, facilitating effective alignment between academic research and industrial application, and promoting the practical implementation of research outcomes. PolyU has a solid disciplinary foundation in the development of AI, as well as in frontier research and research translation. The University has established the Department of Data Science and Artificial Intelligence and, last year, founded the PolyU Academy for Artificial Intelligence. It has achieved internationally leading research outcomes in key areas such as natural language processing, large model algorithms and data governance, and possesses an extensive international academic network and rich experience in interdisciplinary research collaboration. In April this year, PolyU further established the Research Institute for Federated Learning, dedicated to tackling frontier challenges such as data privacy, cybersecurity and collaborative intelligence, and to advancing the development of secure and trustworthy AI technologies. Looking ahead, PolyU and TaxChina will leverage the Research Centre to advance ongoing deep integration of AI with the fiscal and taxation profession, cultivate interdisciplinary innovation talent, promote the translation of high-level research outcomes and contribute to the intelligent development of the fiscal and taxation industry and to innovation in global tax governance. ***END***

PAAI Distinguished Lecture on Generalisable and Reliable Knowledge Graph Reasoning

On 3 July 2026, the PolyU Academy for Artificial Intelligence (PAAI) and the Department of Computing held a PAAI Distinguished Lecture. Associate Professor YIN Jie from the University of Sydney shared cutting-edge research on knowledge graph reasoning. Targeting core Knowledge Graph (KG) issues including data sparsity and dynamic knowledge evolution, the lecture covered two key innovations. First, MoEMeta, a mixture-of-experts meta-learning model, decouples shared global relational patterns from task-specific local adaptation to enable generalisation over rare relations under few-shot settings, achieving state-of-the-art performance across mainstream benchmarks. Second, the novel Conformal Path Reasoning (CPR) framework for trustworthy KGQA, adopts query-level conformal prediction to fix invalid hop-wise calibration, outputting compact answer sets with statistical validity guarantees for high-stakes fields like medical analysis. Comprehensive experiments verify CPR’s superior coverage efficiency and strong scalability on large-scale KGs with hundreds of thousands of entities. The lecture equipped the attendees with abundant cutting-edge research ideas and establishing a premium academic platform for in-depth discussion and sharing of innovative outcomes at the intersection of knowledge adaptation, relational reasoning, and trustworthy AI.   ******END******  

Prof. ZHENG Weimin delivered the PAAI Distinguished Lecture: Heterogeneous and Disaggregated PD Separation for Large Model Inference Systems

PAAI Distinguished Lecture: Heterogeneous and Disaggregated PD Separation for Large Model Inference Systems Date: 2 June 2026 | Time: 9:30 am - 11:00 am | Venue: AG206, PolyU The PolyU Academy for Artificial Intelligence (PAAI) successfully hosted a PAAI Distinguished Lecture on the morning of 2 June 2026, featuring Academician ZHENG Weimin, Professor at Tsinghua University and Member of the Chinese Academy of Engineering. The lecture, entitled "Heterogeneous and Disaggregated PD Separation for Large Model Inference Systems," attracted a packed audience of faculty, researchers, and students. Academician Zheng's passionate and engaging delivery sparked continuous discussion, enthusiastic questions, and rounds of applause—making it one of the most energetic sessions at PolyU. Drawing from his pioneering work in high-performance computing, Prof. Zheng introduced the Mooncake disaggregated architecture (KVCache-centric) and the Prefill as a Service (PaaS) design, which together deliver 54% higher throughput and 32% lower latency, while helping overcome domestic computing hardware bottlenecks. He laid out a phased roadmap to deploy the technology across same-room, same-campus, and cross-region computing networks. The overwhelmingly positive audience response proved one thing: great research, when shared with heart, inspires action.

AI Startup InfiX.ai founded by Prof. YANG Hongxia Receives BEYOND Best of Innovation Award 2026

We are proud to announce that Infix.ai, an AI infrastructure startup founded by Prof. YANG Hongxia (Executive Director of PAAI) has won the prestigious BEYOND Best of Innovation Award 2026 for its breakthrough product InfiCube—an all-in-one large-model training and inference appliance.

Professor Yang Qiang Featured in Global Views Monthly Interview to Discuss AI Development and Talent Cultivation

Professor Yang Qiang, Chief Artificial Intelligence Officer, Chair Professor in Artificial Intelligence and Director of both the PolyU Academy for Artificial Intelligence(PAAI) and the Research Institute for Federated Learning(RIFL) at The Hong Kong Polytechnic University, was recently interviewed by prominent Taiwanese magazine Global Views Monthly《遠見》. During the interview, Professor Yang shared from an educator’s perspective, the cutting-edge AI trends and the future industrial development within the global artificial intelligence landscape. A leading authority on Federated Learning, Professor Yang analysed both the opportunities and hurdles hindering the practical deployment of AI technologies, and shared distinctive viewpoints on talent cultivation in the era of AI. He emphasised that amid rapid technological advancement, academics and students should embrace digital transformation by consolidating core academic knowledge while nurturing innovative thinking and interdisciplinary capabilities. With decades of research and education experience in artificial intelligence, Professor Yang has been at the forefront of advancing Federated Learning research and industry-academia collaboration. This interview offers valuable insights for readers to keep abreast of latest AI developments and informed academic planning, further contributing to the high-quality development of PolyU’s AI-related disciplines.   Online coverage: Global Views Monthly《遠見》 https://polyu.me/4a90DkG (Chinese only)     ******END******

Prof. Yang Hongxia's research story has been selected for Top 10 Research Stories of the Year

We are proud to announce that Professor Yang Hongxia's research story has been selected for the "PolyU Top 10 Research & Innovation Stories of the Year."Professor Yang Hongxia is the Executive Director of the PolyU Academy for Artificial Intelligence (PAAI), Associate Dean (Global Engagement) of the Faculty of Computer and Mathematical Sciences, and Chair Professor of Generative Artificial Intelligence. She has led her team to pioneer a collaborative Generative AI (Co-GenAI) paradigm that enables decentralised model training. This innovative approach significantly reduces computational costs, protects data privacy, and removes barriers to resource access. The team has also developed ultra-low-resource FP8 training and model fusion techniques, which reduce GPU usage from millions to just hundreds of hours while maintaining high performance. Their AI models have demonstrated strong potential in medical applications, particularly in cancer diagnosis and personalised treatment. Through collaborations with leading hospitals, this research advances the democratisation of AI and further reinforces Hong Kong's position as a global hub for AI innovation.

PAAI OpenClaw Forum at PolyU Concludes: From OPENCLAW to Future Agentic AI Systems

On 29 April 2026, the inaugural academic forum “From OPENCLAW to Future Agentic AI Systems” hosted by the PolyU Academy for Artificial Intelligence (PAAI) was successfully held at The Hong Kong Polytechnic University. Focusing on the rise of agentic AI, the forum held in-depth discussions on key topics including OPENCLAW, security and privacy, human-AI collaboration and federated AI agents, attracting many participants. The forum opened with a speech by Professor Christopher Chao, Senior Vice President (Research and Innovation) of The Hong Kong Polytechnic University. He stated that the forum marked an important milestone for PAAI since its establishment in December 2025. The newly founded Research Institute for Federated Learning will focus on data privacy, security and collaborative intelligence, and promote the development of responsible artificial intelligence. Professor Qiang Yang, Director of the PolyU Academy for Artificial Intelligence and the Research Institute for Federated Learning, delivered the keynote speech “On Future of AI and Federated AI”. He reviewed the challenges in AI development, such as data shortage, privacy leakage and multi-agent collaboration. He pointed out that federated learning and federated agents are key solutions, providing a framework for next-generation decentralised and privacy-preserving AI systems. Professor Di Jiang, Associate Director of the Research Institute for Federated Learning, gave a presentation entitled “Building Robust AI Agents with OpenClaw”. He introduced OPENCLAW in detail, including its core architecture, technical advantages and application scenarios, explained why it has grown popular rapidly, and showed its value in teaching, research and daily assistance. Professor Yang Liu, Co-Director of the Research Institute for Federated Learning, gave a presentation entitled “Federated Agents: A Future Private and Collaborative Paradigm”. She explained the federated agent technology thoroughly. She proposed this new privacy-preserving and decentralised paradigm, which keeps data and models local and realises multi-party intelligent collaboration without privacy leaks, offering a feasible path for the large-scale and secure use of agentic AI. During the industry session, Dr Christine Huang, Founder of Quantum Life and Fellow of the Royal Society of Medicine (UK), gave a talk “Longevity Claw: Full-lifecycle healthy longevity concierge”, introducing the personalised health management system built on OPENCLAW. Dr Wang Hao, Senior Research Engineer at Huawei Hong Kong Research Center (HKRC), delivered a speech “Security of Agentic AI Systems: Taming the hybrid unicorn”, focusing on AI agent security and suggesting building a trusted scaffold to balance intelligence and controllability. Dr Chen Zhitang, Senior Researcher of Huawei Noah’s Ark Lab, presented “Science Flow: A data science agent for new material design”, showing the automation and intelligentisation of material research. After the three industry talks, Professor Qiang Yang presented commemorative medals to each speaker. At the end of the forum, Professor Qiang Yang delivered the closing speech. He summarised the key outcomes and looked forward to the future development of OPENCLAW, federated agents and fully autonomous agents. He hoped academia and industry would continue to work together to drive technological breakthroughs and practical applications of agentic AI.   The forum successfully built a communication platform for academic research and industrial practice, showed the development path of agentic AI from innovation to application, and laid a solid foundation for future research and co-operation in related fields.   ******END******

PolyU and Anker Innovations establish joint laboratory to accelerate commercialisation of smart home products

[Please enter your news content, below is the sample content] he Hong Kong Polytechnic University (PolyU) will offer 90 taught postgraduate programmes in 2019/20, and is now inviting applications. Addressing the evolving needs of the society and the industries, PolyU remains committed to providing dynamic and high-quality programmes for nurturing talents to be capable of facing challenges of the times. In the coming academic year, PolyU is going to launch new programmes such as Master of Science in "Global Food Safety Management and Risk Analysis", "Accounting and Finance Analytics", and "Business Analytics". There are also programmes with restructured curriculum, such as "Industrial and Systems Engineering" and "Management and Marketing". PolyU's "Info Day for Taught Postgraduate Programmes" will be held on 12 January 2019 (Saturday) from 2pm to 6pm on PolyU campus to provide prospective applicants first-hand information and consultations on their further studies. More than 80 information seminars and consultation sessions will be organised by the eight Faculties/Schools of PolyU: Faculty of Applied Science and Textiles; Faculty of Business; Faculty of Construction and Environment; Faculty of Engineering; Faculty of Health and Social Sciences; Faculty of Humanities; School of Design; and School of Hotel and Tourism Management. For more details of the Info Day, please visit:-http://www.polyu.edu.hk/tpginfoday.

Prof. XIE Yuan delivered the PAAI Distinguished Lecture: Déjà Vu: From 3D to Chiplet and PIM/NDP — A Historical Perspective

PAAI Distinguished Lecture: Déjà Vu: From 3D to Chiplet and PIM/NDP — A Historical Perspective Date: 17 April 2026 | Time: 9:00-10:30 am | Venue: CD301, PolyU   The PolyU Academy for Artificial Intelligence (PAAI) successfully hosted a PAAI Distinguished Lecture on 17 April 2026, featuring Prof. XIE Yuan, Fang Professor of Engineering, Director of the Institute of Integrated Circuits and Systems (IICS), and Chair Professor of the Department of Electronic & Computer Engineering at The Hong Kong University of Science and Technology (HKUST).   The lecture, entitled “Déjà Vu: From 3D to Chiplet and PIM/NDP — A Historical Perspective”, attracted faculty members, researchers, and students across disciplines, and sparked active discussions on the evolution of computing architectures driven by emerging technologies.   Drawing from his extensive career spanning both academia and industry, Prof. Xie revisited key moments in the development of 3D integration, chiplet-based architectures, and Processing‑in‑Memory (PIM) / Near‑Data Processing (NDP) paradigms. Through a historical lens, he illustrated how technological advances and architectural innovation have continuously influenced each other — often in recurring patterns that resurface under new system constraints and application demands.   Prof. Xie also reflected on his own professional journey across leading institutions and organisations, including Princeton University, IBM Microelectronics, AMD Research, the University of California, Santa Barbara, Pennsylvania State University, Alibaba DAMO Academy, and T‑Head Semiconductor. His insights highlighted the importance of cross‑sector experience in shaping system‑level thinking and advancing practical, scalable solutions in modern computing systems.

Establishment of Research Institute for Federated Learning (RIFL)

The PolyU Academy for Artificial Intelligence (PAAI) is pleased to announce the official establishment of its new research unit, the Research Institute for Federated Learning (RIFL), on 1 April 2026.   RIFL focuses on advancing cutting-edge developments in data privacy, security and collaborative intelligence. Led by Director Prof. Yang Qiang, Co-Director Prof. Liu Yang, and Associate Directors Prof. Qin Jing and Prof. Jiang Di, the team will focus on developing top-tier federated learning technologies. These technologies enable multiple parties to jointly train AI models without sharing sensitive data. The institute aims to address the growing needs for data governance and privacy protection, unlock the value of distributed data across organisations and industries, support the deployment of secure and trustworthy AI, promote cross-institutional cooperation, and lay the foundation for impactful and responsible AI innovation.   RIFL is committed to becoming a world-leading research institute for next-generation federated learning, promoting collaborative innovation, data democratisation and responsible AI for global benefit. It will lead cutting-edge federated learning research, drive industrial AI applications, and build a collaborative ecosystem connecting academia and industry.   ******END******