Speakers of ICID 2026 (Sub-Forum 01)

Focused on techno-design, he uses artificial intelligence to empower the design industry and proposes a design paradigm for the AI era. He has achieved breakthroughs in the formal modelling of sketching thinking, crowdsourced innovation in creative design, automated advertising design, and affective information expression through multiple perceptual channels. He has undertaken more than 10 projects funded by the National Natural Science Foundation of China and the National Key R and D Program, published over 30 papers in leading journals and conferences such as CHI andDesign Studies, and holds more than 20 invention patents. He has received over 10 design awards, including the Good Design Award, the Red Dot: Best of the Best, the iF Design Award and the China Intelligent Manufacturing Award.

1. Intelligent generation of digital content for the digital creative industry. He proposes intelligent generation methods integrating generative adversarial models and aesthetic evaluation models, introduces causal inference into creative design research, and has developed intelligent graphic and short-video design systems that provide designers with materials and inspirations while supporting rapid design exploration. He also explores next-generation experience computing and natural human-computer interaction. In cooperation with Alibaba Group, he supported digital content production platforms such as AlibabaWood, which have automatically generated hundreds of millions of graphic design materials and up to 200 product-display short videos per minute, delivering significant industrial value and attracting coverage from mainstream media including CCTV, Xinhua News Agency and The Paper.

2. Design methods and rapid-prototyping platforms for intelligent hardware products. Addressing challenges such as product transformation, cross-product cognitive convergence and human-computer interaction, he studies design methods for AI-hardware-based intelligent products, interaction theories for intelligent products, and cognitive computing engines and platforms. He has established a rapid-prototyping toolkit and platform for intelligent products. In cooperation with well-known enterprises, his team has designed and developed a series of highly intelligent, competitive and exemplary new intelligent products, cultivating an ecosystem of intelligent products.

Dr. Yingqing Xu is a tenured professor at the Academy of Arts and Design of Tsinghua University and Director of The Future Laboratory of Tsinghua University. He concurrently serves as Director of the Lab for Lifelong Learning of Tsinghua University and Director of the Future Design Innovation Center of the Tsinghua Pearl River Delta Institute. He is a Distinguished Professor of the Changjiang Scholars Program (Design) of the Ministry of Education, a Beijing Outstanding Design Talent, an expert receiving the Special Government Allowance of the State Council, and a core member of the first cohort of the Ministry of Education's Philosophy and Social Sciences Innovation Team (Design Collaborative Innovation Team Based on Interdisciplinary Approaches). He previously served as Head of the Department of Information Art and Design of the Academy of Arts and Design (2012-2019), Director of the Tsinghua-Alibaba Joint Laboratory on Natural Interaction Experience, and the first Chair Professor of the Intelligent Engineering and Creative Design programme of Tsinghua University's Xinya College.

Before joining Tsinghua University, he was a Lead Researcher at Microsoft Research Asia and concurrently Co-Director of the Microsoft-Beijing Film Academy Joint Laboratory of Digital Cartoon and Animation.

His teaching and research cover user natural experience design, immersive perception and interaction design, tactile cognition and interaction design, and the digitalization of cultural heritage. He has received titles including Tsinghua University Outstanding Worker and Advanced Individual in Teaching and Mentoring, and has been recognized many times as an Excellent Master's and Doctoral Dissertation Advisor. He has published more than 100 academic papers in international conferences and journals and applied for more than 100 domestic and international patents, many of which have been applied to real products.

He has been responsible for or participated in numerous design research projects in the cultural and creative industries, such as the Hangzhou G20 lighting display design, the Digital Forbidden City exhibition hall design, the immersive multimedia audio-visual display system for the Palace Museum's cultural heritage, the digitalization of Dunhuang cultural heritage, and conceptual creative design research for the 2022 Beijing Winter Olympics. His team has persisted for more than ten years in developing a special computer and notebook for visually impaired people, featuring a large-format tactile graphic terminal with dot matrices that can protrude and retract, allowing users to read text and recognize graphics through touch. The device can be widely used in schools for the blind, libraries and museums; the achievement was selected for the 2019 China Design Rights List and won the Annual Health Design Award. He has also conducted in-depth work in interdisciplinary design innovation fields such as odour detection and olfactory computing, computing for understanding human daily emotion and behaviour, human emotion communication databases, and intelligent hardware design.

He has undertaken numerous national research projects integrating art and science, including "Open Competition" projects under the National Key R and D Program, key and general projects of the National Natural Science Foundation of China, the Science and Technology Winter Olympics special project for the 2022 Winter Olympics, and projects of the National Basic Research Program (973 Program). He also maintains friendly cooperation with numerous enterprises, local governments and social institutions.

He has served at a number of international academic conferences as co-chair, program committee chair or committee member, and has been invited to deliver keynote speeches on multiple occasions. He received his Doctor of Engineering degree in Computer Graphics from the Institute of Computing Technology, Chinese Academy of Sciences; during his doctoral studies he won the Best Paper Award of the first China Computer Graphics Conference for his research in computer animation, and received the President's Scholarship of the Chinese Academy of Sciences upon graduation. He holds a BSc in Mathematics from Jilin University.

PhD, Professor and Doctoral Supervisor at the School of Design of Hunan University, and Deputy Director of the Culture and Media Computing Research Center of Hunan University. He was selected for the National High-Level Talent Program of the Ministry of Education as a Distinguished Professor (2025) and Young Scholar (2021), as well as Leading Talent in Science and Technology Innovation under the Furong Program (2025), Young Furong Scholar (2020) and Young Core Teacher of Hunan Province (2012). He concurrently serves as Director of the Intelligent Design and Interaction Experience Laboratory (iDi Lab) of Hunan University, Director of the HNU-Xiaomi Joint R and D Center for Human Factors Engineering of Intelligent Terminals, a researcher at the State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, and a member of the Teaching Committee of Hunan University. He has long carried out university-industry collaborative education, leading the establishment of joint R and D centres between Hunan University and enterprises including Baidu (2018), Huawei (2021) and Xiaomi (2025). He received an Excellent Case Award for university-industry collaborative education projects, and won the First Prize and Second Prize of the National Teaching Achievement Award in 2018 and 2022 respectively.

His main research direction is human-computer interaction design. He proposed the theory of "Machine Behaviour Design", taking artificial intelligence as both object and tool, and conducts human-centred research on "intelligent interaction design and cognitive experience" in fields such as transportation, emergency safety, intelligent terminals, emerging media and healthcare. He won the China Machinery Industry Science and Technology Award twice, in 2008 and 2014; the Huawei Most Valuable Partner Award in 2015 and the Huawei Outstanding Contribution Partner Award in 2021; and the title of COMAC Outstanding Scientist in 2024. He has published multiple papers in SCI/SSCI/CSSCI journals such asThe Lancet,Computers in Human Behavior andZhuangshi (Decoration), with two papers selected as ESI Highly Cited Papers. He is listed among CNKI's Top 1% Highly Cited Scholars (2024, 2025). From 1996 to December 2006 he studied at Hunan University, obtaining a Bachelor's degree in Industrial Design, a Master's degree in Design Art and a PhD in Mechanical Engineering. Before joining Hunan University, he worked as an interaction designer at Alibaba (China) Network Technology Co., Ltd. from January 2007 to January 2008, and as a researcher at Google China Engineering Research Institute from January 2008 to February 2009.

Doctor of Engineering, Professor and Doctoral Supervisor at the School of Computer Science of Northwestern Polytechnical University, recipient of the National Science Fund for Distinguished Young Scholars (2020), Vice Dean of the School of Computer Science, Director of the Key Laboratory of Intelligent Perception and Computing of the Ministry of Industry and Information Technology, Deputy Director of the Key Laboratory of Crowd Intelligence Computing for Human-Machine-Thing Integration of the Ministry of Education, and Dean of the Center for Computing and Art Interdisciplinary Research. He is an Elsevier Highly Cited Chinese Researcher and a Stanford World's Top 2% Scientist. He received his PhD from Keio University in Japan in March 2009 and conducted postdoctoral research at TELECOM SudParis in France from 2009 to 2011. He was selected for the Ministry of Education's "New Century Excellent Talent" programme (2012) and the National "Ten Thousand Talents Program" Young Top-Notch Talent programme (2017).

He mainly conducts research on intelligent IoT and pervasive computing, crowd intelligence, and embodied intelligence. He has published more than 200 papers in leading domestic and international journals and conferences, authored books includingCrowd Intelligence Computing for Human-Machine-Thing Integration andIntroduction to Intelligent IoT, and carries out domain applications and technology transfer addressing major national needs in smart cities and social governance.

He has received the First Prize of the Natural Science Award of the Ministry of Education, the First Prize of the Natural Science Award of Shaanxi Province, the First Prize of the Military Science and Technology Progress Award, and Best Paper Awards at major international conferences including ACM SenSys, AAMAS and UIC. He serves as an editorial board member for authoritative international journals such asACM IMWUT,IEEE Transactions on Human-Machine Systems,Frontiers of Computer Science andAI Plus, and as program chair of several important international conferences. He is a Council Member and Distinguished Member of CCF, Chair of the ACM Xi'an Chapter, Vice Director of the CICC Cognition and Behaviour Committee, and Secretary-General of the Belt and Road International Alliance for Intelligent IoT Cooperation.

Vice Dean of the School of Design at Shanghai Jiao Tong University, a position he has held since December 2017; he previously served as Vice Dean of the School of Media and Design. He is also Vice President of the China Industrial Design Association and has long been engaged in teaching and research in design strategy and planning, user research and experience design. He has led more than 10 national and provincial or ministerial research projects, serving clients including international companies such as Intel, Samsung, Nissan, Mazda, HP, Yamaha, GE and Panasonic. In 2020 he proposed the theoretical framework of AI-HI integration, and in 2025 further put forward the design concept of "AI and HI Integration", promoting a human-centred transformation of manufacturing in the smart home appliance sector. His research covers design strategy, intelligent interaction and healthcare design. He has led major projects on large commercial aircraft and collaborative robots, and has promoted the establishment of a university-enterprise joint laboratory for smart healthcare. He was selected for the Shanghai Pujiang Talent Program in 2013, and was later selected as a Young Scholar of the Changjiang Scholars Program of the Ministry of Education, receiving the Bao Steel Outstanding Teacher Award.

She has long been engaged in work combining artificial intelligence, big data, the Internet and innovative design. In 2002 she introduced a series of undergraduate courses on human-computer interaction interface design and AI and innovative design, and established the Information and Interaction Design specialisation. She was the first in the world to propose quantum thinking and innovative design methods, as well as a meaning-centred interaction design method. She began research on "artificial intelligence plus Internet plus big data plus innovative design" in 2001 and, since 2015, has held six editions of the "Big Data plus Internet plus Intelligence plus Innovative Design" international forum and exhibition.

She has consistently conducted design practice and methodological research in frontier design fields such as interaction design methods, big-data-based user research and usability engineering, new media art and information aesthetics, intelligent product service system design, green IT and sustainable design, big data information visualization and visual analytics, and virtual reality game design. She has introduced sustainable innovative design to interdisciplinary fields including computer science, psychology and communication studies, and has made outstanding contributions to transforming ICT achievements into the productivity of interaction interface user experience design, bringing China's information interaction design and sustainable design to an internationally advanced level.

She has led 20 vertical research projects funded by the National Social Science Fund, the National Natural Science Foundation of China, the Ministry of Education and the Ministry of Culture, covering AI and innovative design, big data and information visualization, sustainable product service design, interaction interface design, and digital cultural heritage and cultural creative industries. She has participated in 6 projects including EU and China-UK cooperative research on sustainable design education and big data and information design, the 863 Program and major projects of the National Social Science Fund, and has led more than 30 commissioned research projects. She has published 96 papers and 11 books.

In areas such as robot design, autonomous vehicle design, digital museum exhibition design, virtual reality game design and smart clothing design, she has won 14 domestic and international design awards including the Red Dot Award, the GM Design Competition, Car Styling, Interior Motives and the Red Star Award, and holds 5 invention patents and software copyrights. She has supervised nearly 50 master's students and 6 doctoral students.

Prof. Zhaohui Huang is a professor and master's supervisor, and serves as Director of the Industrial Design Innovation Center (Provincial Design Center) of Huazhong University of Science and Technology.

She has long been engaged in research and teaching in digital medical equipment design, transportation design, product development design, system integration design and cultural creativity. Emphasizing interdisciplinary integration, she carries out practical and innovative activities integrating art and technology, and has established multiple off-campus practice bases and platforms for external academic exchange.

She has led multiple provincial and ministerial as well as industry-commissioned projects, including those funded by the Ministry of Education, providing policy consulting and services for government and enterprises. She has participated in Key Projects of the National Natural Science Foundation of China, the National "973" Program, the National "863" Program and National Major Special Projects for Numerical Control. She has published more than 30 academic papers, 2 monographs (one of which received an award) and 1 textbook.

Her design works were twice selected for the National Art Exhibition, with one selected for the Beijing exhibition, and have been exhibited multiple times in important art and design exhibitions at home and abroad. She has guided students to awards in major domestic and international competitions such as CDN, Red Dot, iF and the Michelin Global Automotive Design Competition, and has received the honorary title of Outstanding Instructor on multiple occasions. She holds multiple utility model and design patents.

Magnetic fields offer a powerful design paradigm for miniature and untethered robotic systems, enabling wireless actuation, navigation, and control in environments where conventional electromechanical architectures are difficult to implement. In this talk, I will present our recent work on the intelligent design of magnetic robotic systems for minimally invasive medical procedures, with emphasis on the integration of materials, mechanisms, field-driven actuation, sensing, and control across multiple length scales.

I will first discuss ferrofluid-based microrobots that can be remotely guided, assembled, and reconfigured for targeted delivery and microscale manipulation. I will then introduce our development of a semi-autonomous magnetic robotic platform for assisting Endoscopic Submucosal Dissection (ESD), a minimally invasive procedure for removing large gastrointestinal tumours, highlighting the system-level challenges of clinically oriented magnetic robotic tools, including workspace design, actuation strategies, human-robot interaction and autonomous assistance. Together, these projects demonstrate how intelligent electromechanical design can transform magnetic actuation from a physical principle into practical robotic systems for precision intervention. I will conclude by discussing translational challenges and broader opportunities for magnetic robotics in next-generation minimally invasive care.

Sixth-generation cellular networks (6G) will serve not merely as faster communication infrastructures, but as distributed intelligent systems in which communication, sensing, computation, control, and learning interact through tightly coupled decision processes. This talk explores how federated deep reinforcement learning (DRL) can support these systems under rapidly varying channels, heterogeneous local observations, strict latency requirements, privacy constraints, and competing objectives, including spectral efficiency, energy efficiency, and information freshness.

The presentation first introduces an age-of-information-aware federated DRL framework that jointly addresses hybrid beamforming, rate-splitting resource allocation, and adaptive model aggregation. Complementary actor-critic and value-based learning mechanisms handle continuous radio-control variables and discrete resource-allocation decisions, respectively, while a meta-learning scheduler determines when the expected learning benefit of federation justifies its communication cost. The reported results show improvements in spectral and energy efficiency, as well as substantial reductions in information age and federated communication overhead.

The talk subsequently broadens the discussion toward the emerging architecture of AI-native 6G mobility, examining vehicular foundation and world models, digital twins for counterfactual evaluation, agentic orchestration, goal-oriented semantic communication, and integrated sensing and communication, and discussing open challenges including distribution shift, malicious clients, privacy leakage, uncertainty calibration, constrained exploration, runtime monitoring, and certification of learned policies. The central argument is that federated DRL offers a strong optimization foundation, but deployment-ready vehicular intelligence will require semantic, agentic, uncertainty-aware, and operationally accountable learning systems.