Multimodal Large Models: A New Paradigm of Artificial Intelligence
暫譯: 多模態大型模型：人工智慧的新範式

Prof. Liang Lin is a world-renowned scholar in the field of artificial intelligence and a Fellow of IEEE, IAPR, and IET. He currently serves as the Director of the Institute of Multi-Agent and Embodied Intelligence at Peng Cheng Laboratory, a Distinguished Professor at Sun Yat-sen University. He previously held the position of Executive Dean at the SenseTime Research Institute. He was a recipient of the National Science Fund for Distinguished Young Scholars, and the Chief Scientist of China's National Major Project on Artificial Intelligence.
His research has led to a series of pioneering contributions in multimodal representation learning, causal inference, and embodied intelligence. As of October 2024, he has published more than 400 papers, which have been cited over 45,000 times according to Google Scholar. He has received five Best Paper or Outstanding Paper Awards at leading international conferences and journals, including ACL, ICCV, ICME, and Pattern Recognition.

As the first contributor, he has been awarded CCF-ACM Award for Artificial Intelligence in 2025, the First Prize of the Guangdong Provincial Science and Technology Progress Award in 2024, the Wu Wenjun Artificial Intelligence Award in 2018, and the First Prize of the Science and Technology Award of the China Society of Image and Graphics in 2019. He has supervised and mentored a number of outstanding PhD students who received prestigious honors such as the CCF Outstanding Doctoral Dissertation Award, the ACM China Doctoral Dissertation Award, and the CAAI Outstanding Doctoral Dissertation Award.

Yang Liu is an associate professor at the School of Computer Science, Sun Yat-sen University, and a key member of the Human-Cyber-Physical Intelligence Integration Laboratory (HCP-Lab) at Sun Yat-sen University. His primary research interests include embodied intelligence, multimodal spatial perception and reasoning, and causal inference. He has published over 40 papers in prestigious journals and conferences such as TPAMI, TIP, TMECH, TKDE, CVPR, ICCV, ACM MM, and NeurIPS. Among these, four conference papers were selected as Oral/Highlight presentations, and four journal papers have been recognized as ESI Highly Cited Papers. He has led more than 10 research projects, including the National Natural Science Foundation of China (General Program, Youth Program, and Key Program as Project Lead) and the Pengcheng Laboratory "Open Challenge" program. He served as Co-Chair for the AIGC and Multi-Agent Parallel Computing Track at ICPADS 2025 and the Multimodal Mathematical Reasoning Workshop at ICDAR 2025. He won the Excellence Award at the 2023 China Software Conference for the Robotic Large Model and Embodied Intelligence Challenge, and the First Prize at the 2023 Guangdong Province Third Youth Academic Showcase in Computer Science.

李亮教授是人工智慧領域的世界知名學者，並且是IEEE、IAPR和IET的院士。他目前擔任鵬城實驗室多智能體與具身智慧研究所所長，並且是中山大學的特聘教授。他曾擔任商湯科技研究院的執行院長。他是國家優秀青年科學基金的獲獎者，也是中國國家重大人工智慧專案的首席科學家。
他的研究在多模態表示學習、因果推斷和具身智慧方面做出了系列開創性的貢獻。截至2024年10月，他已發表超過400篇論文，根據Google Scholar的資料，這些論文被引用超過45,000次。他在ACL、ICCV、ICME和模式識別等國際頂尖會議和期刊上獲得五次最佳論文或傑出論文獎。

作為第一貢獻者，他於2025年獲得CCF-ACM人工智慧獎，2024年獲得廣東省科學技術進步獎一等獎，2018年獲得吳文俊人工智慧獎，以及2019年獲得中國圖像與圖形學會科學技術獎一等獎。他指導和培養了多位優秀的博士生，這些學生獲得了CCF優秀博士論文獎、ACM中國博士論文獎和CAAI優秀博士論文獎等多項榮譽。

劉洋是中山大學計算機科學學院的副教授，也是中山大學人機物理智慧整合實驗室（HCP-Lab）的核心成員。他的主要研究興趣包括具身智慧、多模態空間感知與推理以及因果推斷。他在TPAMI、TIP、TMECH、TKDE、CVPR、ICCV、ACM MM和NeurIPS等知名期刊和會議上發表了超過40篇論文。其中，四篇會議論文被選為口頭報告/重點展示，四篇期刊論文被認定為ESI高被引論文。他主導了超過10個研究專案，包括中國國家自然科學基金（一般項目、青年項目和重點項目作為項目負責人）和鵬城實驗室的「開放挑戰」計畫。他擔任2025年ICPADS的AIGC和多智能體平行計算專題的共同主席，以及2025年ICDAR的多模態數學推理研討會的共同主席。他在2023年中國軟體大會的機器人大型模型與具身智慧挑戰中獲得卓越獎，並在2023年廣東省第三屆青年學術展示會中獲得計算機科學一等獎。