Organiser

Xipeng Qiu, professor at the School of Computer Science, Fudan University, Shanghai, China. He serves as a council member of the Chinese Information Processing Society of China (CIPSC) and the chairman of the Natural Language Processing (NLP) Special Committee of the Shanghai Computer Society. His primary research focuses on foundational technologies and models in natural language processing (NLP). He has published over 100 papers in CCF A/B-tier conferences and journals, with more than 10,000 citations. He was named an “Elsevier 2022 Highly Cited Researcher in China.”

Yuliang Liu. He received the PhD degree from SCUT in 2020. He is currently a professor with the Department of Artificial Intelligence and Automation, Huazhong University of Science and Technology, guest editor of Science China. He has authored or coauthored more than 50 papers in top conferences and journals, including the CVPR, ACL, NeurIPS, and the IEEE Transactions on Pattern Analysis and Machine Intelligence. His research interests include computer vision, and document intelligence. In recent years, he primarily focuses on vision-language large multimodal model, pushing forward the state of the art in these areas. He was the recipient of the Best Paper Award in ACL 2024. He was also the recipient of multiple championship awards in CVPR-TextVQA, ICDAR-MLT, and ICDAR-ReCTS.

Anton van den Hengel, a Professor of Computer Science at the University of Adelaide, a Chief Investigator of the NHMRC Centre of Research Excellence on Healthy Housing, a Fellow of the Australian Academy of Technology and Engineering and a Fellow of the Royal Society of South Australia. He has won several awards, including the 2021 Australasian AI Outstanding Service Award, the Pearcey Foundation Entrepreneur Award, the SA Science Excellence Award for Research Collaboration, the CVPR Best Paper prize in 2010 and in 2025 was elected to the CORE Academy to recognise his significant and cumulative contribution to the development of the computing disciplines in Australasia. According to Google Scholar, he has authored over 440 publications, has over 37,000 citations and an h-index of 89. He has had 8 patents commercialised, formed 5 start-ups, and had a medical technology achieve first-in-class FDA approval. Current research interests include vision and language problems, image-based modelling, and semantic reconstruction.

Shuang Chen, postdoctoral researcher at the School of Computer Science, Fudan University ([email protected]). She is a member of the Chinese Information Processing Society of China (CIPSC). Her primary research interests include foundational technologies in natural language processing (NLP) and sentiment computing in large language models. She has published seven high-quality SCI papers and CCF A/B-tier conference papers.