On the morning of May 19th, Professor Ma Jianfeng, a Changjiang Scholar from Xidian University and the Ministry of Education, and Professor Ma Zhuo, a young top talent from Xidian University, visited City University of Macau and were warmly received by Zhou Wanlei, 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 Liu Wenjian, Vice Dean of the Faculty of Data Science, Assistant Professor Ying Zuobin, Graduate Programme Coordinator  of the Faculty of Data Science, Assistant Professor Kuok Weng Tak, and Assistant Professor Liu Lu from the Faculty of Finance attended the symposium. 

The project proposal meeting was chaired by Vice Dean Liu Wenjian, and Vice Rector Zhou Wanlei delivered a welcome speech, introducing the key points of the proposal and the implementation of the project. Next, Professor Ma Jianfeng 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 Ma Zhuo 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 Liu Lu analyzed and reported on the application scenarios of financial credit risk management and data technology. 

During the discussion session, Vice Rector Zhou 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 Ma Jianfeng 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 Ma Zhuo pointed out that how to achieve cross-border data verification still needs to be solved. PhD student Qin Laiqiao 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 Rector Zhou 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.