About The Conference
Where and When
HKUST
Speakers
Day I (AI for Data Science)
Jingren Zhou
Chief Technology Officer at Alibaba Cloud
Topic: Opportunities and Challenges of Large Model Applications
Abstract: In recent years, large-scale pre-trained language models have experienced rapid development, and both domestic and international industries have been actively exploring the application of these models in various scenarios and product forms. The applications related to large models have continued to evolve. Focusing on the technical principles and development trends of large models, we have specifically investigated the application paradigms of large models in different industries and scenarios. We have also introduced the diverse types of models within the large model ecosystem, encompassing various modalities such as text, speech, and images, as well as industries like finance, judiciary, and healthcare. Additionally, we have explored the applications of large models in AI assistants for tasks such as code analysis, document processing, and customer service, as well as large-scale model enterprise platforms.
details to be written
Qiang Yang
Chief AI Officer of WeBank
Professor Emeritus of HKUST
Topic: Federated Transferable Large Model
details to be written
Zhanhui Kang
Technical Director, Algorithm Leader of Machine Learning, Tencent
Topic:The Self-developed Journey of Tencent's Hybrid-Mega Model and Its Applications in the Field of Data Science
Abstract: Introducing the full-stack self-research of infrastructure such as Tencent's Hunyuan large model and Angel machine learning platform including Hunyuan large language model, multi-modal large model, Vincentian graph, Vincentian video and other basic models and how to assign them to industry models. It can be used in data science fields such as news media, document intelligence, advertising recommendation, intelligent meetings, intelligent customer service, etc.
details to be written
Qi Tian
Chief Scientist in Artificial Intelligence, Huawei Cloud
Topic:Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks
details to be written
Jian Yin
Associate Dean of the School of Artificial Intelligence, Sun Yat-sen University, Member of CCF TCDB
Topic: Key Techniques and Applications of ChatGPT-like Large Language Models
Abstract: Language intelligence is an important research field of artificial intelligence, which mainly focuses on the intelligent analysis and processing of human language. Recently, large language models such as ChatGPT have attracted widespread attention from all walks of life, bringing about tremendous changes in the field of artificial intelligence. They have greatly improved various application scenarios such as human-machine interaction, content generation, and knowledge question answering, and promoted the industrialization of user-generated content (UGC) to AI-generated content (AIGC). This report will introduce the development history, applications, and challenges of large language models such as ChatGPT, as well as some of our related work, and look forward to future development directions.
details to be written
Xing Xie
Senior Principal Research Manager of Microsoft Research Asia
Topic:Socially Responsible Artificial Intelligence: Interdisciplinary Exploration and Prospects
Abstract: With the widespread application of artificial intelligence globally, its impact across various domains is becoming increasingly prominent. There is a need to establish an interdisciplinary research framework that focuses on the intersection of artificial intelligence and social sciences, ensuring that technological advancements align with core human values. In this report, I will discuss how methods from the social sciences can help us address the diverse challenges posed by artificial intelligence. We will demonstrate how we apply psychometrics to assess artificial intelligence systems and practice the development of AI systems that align with human ethics. Through this interdisciplinary perspective, we aim to drive a more responsible, transparent, and human-centric development path for artificial intelligence.
details to be written
Day II (AI for Medical Science)
Yueping Liu
Hebei Cancer Hospital
Topic:The Application of Artificial Intelligence in Breast Pathology
Director of Pathology Department of the Fourth Hospital of Hebei Medical University
details to be written
Qian Da
Ruijin Hospital, SJTU
Topic: Communication on the Construction of Digital Intelligent Pathology Department of Ruijin Hospital
details to be written
Wei Shen
Shanghai Jiao Tong University
Topic: Efficient 4D Reconstruction of Deformable Tissues in Surgical Scenes
details to be written
Yefeng Zheng
Tencent Group
Topic:Robust Medical Image Analysis: Learning from Imperfect Clinical Data
details to be written
Li Yuan
Zhejiang Cancer Hospital
Topc:Study on the Regularity and Material Basis of the Changes of Tongue Image in Gastric Cancer
details to be written
Rundown
Here is our Rundown
Opening Address
Talk 1, "Opportunities and Challenges of Large Model Applications"
Break
Talk 2, "Federation Migration Large Model"
Talk 3, "The Self-developed Journey of Tencent's Hybrid-Mega Model and Its Applications in the Field of Data Science"
Lunch Break
Talk 4, "Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks"
Talk 5, "Socially Responsible Artificial Intelligence: Interdisciplinary Exploration and Prospects"
Talk 6, "Key Techniques and Applications of ChatGPT-like Large Language Models"
Break
Panel Discussion: AI for data science, are we there yet?
Talk 1, "The Application of Artificial Intelligence in Breast Pathology"
Talk 2(remote), "Biomedicine in the age of generative AI"
Talk 3, "Communication on the Construction of Digital Intelligent Pathology Department of Ruijin Hospital"
Lunch Break
Talk 4, "Efficient 4D Reconstruction of Deformable Tissues in Surgical Scenes"
Talk 5, "Robust Medical Image Analysis: Learning from Imperfect Clinical Data"
Coffee Break(long)
Talk 6, "Study on the Regularity and Material Basis of the Changes of Tongue Image in Gastric Cancer"
Coffee Break(short)
Panel Discussion
Spotlight Posters
Twelve spotlight posters showcasing the most recent and exciting research findings will be prominently displayed in the IAS Lobby, offering attendees a glimpse into the cutting-edge work being done in the field
Venue
HKUST
Organizers
Lei Chen
Dean of the Information Hub at HKUST(GZ), Director of Big Data Institute
details to be written
Xiaofang Zhou
Head of the Department of Computer Science and Engineering at HKUST
Co-Director of Big Data Institute
details to be written
Dan Su
Zhejiang Province Leading Talent in Technological Innovation, Director of the Pathology Department at Zhejiang Cancer Hospital
details to be written
Xiaomeng Li
Assistant Professor, Department of Electronic and Computer Engineering at HKUST, Associate Director of Center for Medical Imaging and Analysis
details to be written
Sponsors
NSFC & UGC Conference Fund 2023
This conference was supported by a grant from the Joint Research Scheme sponsored by the Research Grants Council of the Hong Kong Special Administrative Region, China, and the National Natural Science Foundation of China (Reference No. N_HKUST652/23)
Organizations
