On the morning of May 19th, Professor Jianfeng Ma, a Changjiang Scholar from Xidian University and the Ministry of Education, and Professor Zhuo Ma, a young top talent from Xidian University, visited City University of Macau and were warmly received by Wanlei Zhou, Vice President and Dean of the Faculty of Data Science at City University of Macau. Both parties discussed the project proposal for cross-border data collaborative management and privacy computing research aimed at promoting trust. Associate Professor Wenjian Liu, Vice Dean of the Faculty of Data Science, Assistant Professor Zuobin Ying, Graduate Programme Coordinator  of the Faculty of Data Science, Assistant Professor Weng Tak Kuok, and Assistant Professor Lu Liu from the Faculty of Finance attended the symposium. 

The project proposal meeting was chaired by Vice Dean Wenjian Liu, and Vice President Wanlei Zhou delivered a welcome speech, introducing the key points of the proposal and the implementation of the project. Next, Professor Jianfeng Ma provided guidance on cross-border collaborative sharing of data and the establishment of a cross-border data system. Finally, he summarized the security and privacy challenges faced in the context of this project. Professor Zhuo Ma will present the current progress of both projects, including conducting background research on cross-border data and writing articles on cross-border data privacy. Afterwards, Assistant Professor Ying should report on the progress of various work after the project was approved. Finally, Assistant Professor Lu Liu analyzed and reported on the application scenarios of financial credit risk management and data technology. 

During the discussion session, Vice President Wanlei pointed out that the uniqueness of research application scenarios and attacks caused by vulnerabilities in cross-border data collaboration management platforms remain a major issue; Professor Jianfeng Ma pointed out that the localization advantage of Macau should be utilized to comply with Macau laws and regulations again, and joint development should be carried out with other schools; Professor Zhuo Ma pointed out that how to achieve cross-border data verification still needs to be solved. PhD student Laiqiao Qin pointed out that although there is a close connection between cross-border data and federated learning, the model cannot provide a good explanation when judging whether a person's credit rating is good. Regarding this issue, Vice President Wanlei replied, 'The interpretability of models remains a major challenge in the field of AI and requires continued efforts to explore.'. 

During the discussion, teachers and students actively participated in communication and asked questions enthusiastically. This symposium provides a solid foundation and support for the research project on cross-border data collaborative management and privacy computing for credit seeking. Representatives of doctoral and master's students who participated in this research project also attended the symposium.