Keynote Speakers

Prof. Xiaofeng Chen

IEEE Fellow, National High-Level Talents

Dean of the School of Cryptology

Xidian University, China

Title: Verifiable Computation on Encrypted Data

Abstract: In a cloud computing environment, resource-constrained users outsource computationally intensive tasks to cloud servers in encrypted form, and conveniently obtain various services on a pay-as-you-go manner. However, since cloud servers are not fully trusted, an efficient mechanism is required to verify the results returned by them. This talk primarily focuses on the research and recent advances in the theories and technologies of verifiable computing.

Biography: Professor Xiaofeng Chen is the Dean of the School of Cryptology at Xidian University, IEEE Fellow, the recipient of the National High-Level Talents Special Support Plan, and the Outstanding Teacher in Cybersecurity Award from the China Internet Development Foundation. His research interests are cryptography and cloud computing security. He has published over 200 papers in prominent international conferences and journals, including more than 40 papers in the IEEE Transactions series. He has obtained more than 10 scientific research projects, including those funded by the National Natural Science Foundation of China (NSFC). Furthermore, he serves as an associate editor for renowned international journals, including IEEE TDSC and IEEE TKDE. He has acted as the General Chair for multiple international conferences, including AsiaCCS 2016 and NSS 2014. He has been honored with the Cryptography Innovation Award by the Chinese Association for Cryptologic Research (CACR), the Shaanxi Youth Science and Technology Award. He has been selected multiple times as a Clarivate Highly Cited Researcher and an Elsevier Highly Cited Chinese Researcher.

Prof. Lei Lei

National High-Level Talents

Nanjing University of Aeronautics and Astronautics, China

Title: tbd

Abstract: tbd

Biography: Lei Lei, Dean of School of Aerospace, Nanjing University of Aeronautics and Astronautics, is a professor and doctoral supervisor. The main research directions are intelligent networking and collaboration technology of aircraft, digital twin technology of aerospace information system and so on. He was selected as the top-notch young talents of the National ' Ten Thousand Talents Plan ', the head of the national first-class undergraduate curriculum, the head of the national experimental teaching demonstration center, and the leader of the excellent teaching team of the ' Blue Project ' in colleges and universities in Jiangsu Province. It has undertaken more than 40 scientific research projects, such as the National Natural Science Foundation of China, the key projects of national defense basic scientific research, the innovation special zone project of the Science and Technology Committee of the Military Commission, and has published more than 50 papers in international high-level journals in the field of communication networks, such as IEEE NETWORK, IEEE TVT, IEEE IoT Journal. He won the first prize of national defense science and technology progress with the first complete person, and the second prize of national teaching achievement with the second complete person.

Prof. Nan Wang

Heilongjiang University, China

Title: Imbalanced Data Classification: Methodologies and Applications in Airline Revenue Management and Pricing Analytics

Abstract: 

This talk introduces the background and challenges of imbalanced data classification, and discusses two practical problems in airline revenue management and pricing analytics. It then reviews common methodological strategies, including data preprocessing methods and cost-sensitive classification approaches. A particular focus is placed on improving minority-class recall, which is crucial for decision-making in highly imbalanced aviation data environments.

The talk also presents several recent studies conducted by our team, including cost-sensitive learning, ensemble classification models, and deep neural network-based approaches for imbalanced data. These studies demonstrate how statistical learning and machine learning methods can be integrated with aviation big data to support demand forecasting, pricing analysis, revenue management, and intelligent decision-making in the airline industry.

Biography: 

Prof. Nan Wang is Chair of the Department of Statistics at Heilongjiang University. His research interests include imbalanced learning, cost-sensitive machine learning, deep neural networks, big data analytics, and intelligent decision-making systems.

He has long been engaged in aviation and tourism big data analytics, maintaining close collaborations with China Southern Airlines, Air China, Qunar, and Trip.com. His applied research focuses on demand forecasting, airfare and pricing analytics, revenue management, customer behavior analysis, and data-driven decision-making in the aviation and tourism industries.

Prof. Wang’s work aims to bridge statistical methodology and industrial applications, particularly in scenarios involving large-scale, complex, and highly imbalanced data.

Asooc. Prof. Pengfei Wang

Dalian University of Technology, China

Title: tbd

Abstract: tbd

Biography: Wang Pengfei, born in 1990, is an associate professor and doctoral supervisor. He is an outstanding scientific and technological worker in Liaoning Province, a winner of the outstanding young scientific and technological talents project in Dalian City, and the first batch of Xiaomi young scholars in Dalian University of Technology. He is a postdoctoral fellow in the joint training of Northwestern University and Northeastern University, and Shenyang Aircraft Design Institute of China Aviation Industry Group-Dalian University of Technology. The research direction is distributed artificial intelligence and big data intelligent processing technology, including federated ( forget ) learning, drone intelligence, data circulation and modular networking technology. 

In recent years, nearly 100 papers have been published in international top-level journals and conferences such as CCF-A, B and the first district of Chinese Academy of Sciences, including more than 50 first / communication authors, including IEEE TMC, IEEE JSAC, IEEE / ACM TON, IEEE TSC, IEEE TWC, IEEE TITS, KBS, ACM TOSN, IEEE TNSE, IEEE INFOCOM, ICNP, ICDCS, IWQoS, IJCAI, ' Journal of Computer Science ' and so on. As the project leader, he presided over nearly 20 scientific research projects such as the National Natural Science Foundation of China and Liaoning Province 's " Unveiled Leader " Science and Technology Plan, and was responsible for more than 15 million yuan in total project funds. He was a member of the INFOCOM, ICDCS, IWQoS and other international top-level conference procedural committees.