Professor Yan Yang

Southwest Jiaotong University, China

Dr. Yan Yang is currently Professor of Computing and Artificial Intelligence, Southwest Jiaotong University. She holds an Academic and Technical Leader of Sichuan Province. Her mainly research interests include artificial intelligence, big data analysis and mining, ensemble learning and multi-view learning, etc. She has undertaken more than 10 high-level projects and published more than 260 papers, one of which was selected as one of the 100 most influential international academic papers in China in 2021. She won the special award of Zhan Tianyou Railway Science and Technology Award, and first prize of computer science and technology of Sichuan Province. She also serves as the Vice Chair of ACM Chengdu Chapter, and Vice-Chairman General of Sichuan Computer Society.

Title: Visual Knowledge-drvien Natural Language Understanding and Applications 

Abstract: Visual Knowledge-Guided Natural Language Understanding is an emerging field in natural language processing. With the rise of multimodal data from platforms like Weibo and WeChat, the traditional text-based methods face new challenges. Humans naturally integrate visual and linguistic signals for deeper reasoning. In this talk, I will explore how visual content can enhance language understanding, focusing on cross-modal semantic perception, alignment, and reasoning. I also demonstrate its application in tasks such as fake news detection, named entity recognition, sentiment analysis, and sarcasm detection.

Professor Xiaoyi Lv

Xinjiang University, China

Lv Xiaoyi, second-class professor, doctoral supervisor, Doctor of Electronic Science and Technology of Xi 'an Jiaotong University, postdoctoral fellow of Academy of Military Medical Sciences. Currently, he is the deputy director of the Department of Science and Technology of Xinjiang University, the deputy director of Xinjiang Key Laboratory of Signal Detection and Processing, the chairman of the Tumor Artificial Intelligence Professional Committee of Xinjiang Anti-Cancer Association, the member of the Bioinformatics Special Committee of China Computer Society, the Standing Committee of the Bioinformation and Artificial Life Special Committee of Chinese Society for Artificial Intelligence, and the member of the Tumor Artificial Intelligence Professional Committee of China Anti-Cancer Association. Chairman of Supervisory Committee of Urumqi Branch of China Computer Society. Xinjiang Autonomous Region high-level talent introduction, autonomous region Tianshan cedar science and technology innovation leader, winner of the autonomous region Outstanding Youth Fund. Presided over more than 20 key research and development projects of the Ministry of Science and Technology, National Natural Science Foundation projects, autonomous region's leading projects, and autonomous region's key research and development projects. He has published more than 180 SCI papers as the first author or corresponding author. Named to the Stanford University and Elsevier Data Repository's "Top2% of Scientists 2024" List 2024) "Annual Impact" list. More than 20 national invention patents have been authorized.

Professor Weishan Zhang

China University of Petroleum (East China) , China

Weishan Zhang, professor of China University of Petroleum (East China), head of Department of Artificial Intelligence. His main research directions are big data intelligent processing, credible artificial intelligence, etc. He is the director of Credible Intelligent Lab of Shandong Province. He has published more than 200 papers, and is listed as one of The World's Top 2% Scientists (2023 - 2024, published by Stanford University). Currently H index is 31, i10 index is 89. He is the PI/Co-PI of a number of projects such as the National Natural Science Foundation of China and the National Key R&D Program, Key Program of Natural Science Foundation of Shandong Province. For his research on federated intelligence, he won the first prize of Science and Technology Progress Award of Qingdao city, the second prize of Shandong Province Science and Technology Progress Award, the third prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award.

Title:Robust Federated Intelligence with Self-Learning

Abstract: Federated learning can collaboratively train AI models while protecting data privacy. In practical industry environment, Non-IID characteristics of data affect the effectiveness of federated learning. And also, security attacks may course serious problems. Therefore, credible and robust federated intelligence is necessary. In this talk, a reinforcement learning based federated learning, and a hypernetwork based federated self-Learning (CFSL) will be discussed, where credible, personalized federated self-learning for Non-IID environment will be evaluted to show the effectiveness of credible federated intelligence.

Assoc. Prof. Zongwei Luo

Beijing Normal University Zhuhai, China

 Zongwei Luo, Independent Director，Chief Expert of high-tech companies,  Secretary of GD AI Institute of Higher Education. Dr. Luo is also affliated with Beijing Normal University Zhuhai and UIC. Dr. Luo has rich experience in R&D management in universities and industries in the fields of artificial intelligence, big data analysis, and financing/investment. He has been consecutively selected in Stanford Worldwide Top Scientists List of Lifelong Impact (2023) and Yearly Impact (2021, 2022, 2023).

Title: Machine Learning and Causal Inference

Abstract:As data-driven AI large models develop rapidly, it becomes particularly important to identify and pay attention to potential sensitive attributes in the learning dataset. However, this key issue is often overlooked. In this report, we propose a method called Object-Relational Causal Inference, which has excellent reusability and can effectively mine potential sensitive attributes. We also reveal the significant role of potential sensitive attributes in improving data fairness. Based on this, we elaborate on how this method addresses the challenges of potential discrimination issues.