Computational Antitrust

10.02.2026

Englisch

9789819550364

Springer Singapore

Artificial Intelligence and the Rule of Law

Nein

Wei Liu

151

Gebundene Ausgabe

Wei Liu received his Ph.D. from the School of Artificial Intelligence at Beijing Normal University in 2020. From April 2020 to March 2022, he conducted postdoctoral research at the Institute of Automation, Chinese Academy of Sciences. He is currently an Associate Professor at the Institute of Automation, Chinese Academy of Sciences. His primary research interests focus on the interdisciplinary applications of machine learning, including intelligent operation and maintenance of railway transportation systems, astrophysical big data processing, digital economy governance, and neuromorphic computing. Weiming Hu received the Ph.D. degree from the department of computer science and engineering, Zhejiang University in 1998. From April 1998 to March 2000, he was a postdoctoral research fellow with the Institute of Computer Science and Technology, Peking University. Now he is a professor in the Institute of Automation, Chinese Academy of Sciences. His research interests are in visual motion analysis, recognition of web objectionable information, and network intrusion detection. Li Yang received the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2023. He is currently an assistant professor at the Institute of Automation, Chinese Academy of Sciences. His research interests include computer vision and multi-modal learning, with a particular focus on object detection involving multi-modal and open semantic understanding. Bing Li received the PhD degree from the Department of Computer Science and Engineering, Beijing Jiaotong University, in 2009. From 2009 to 2011, he worked as a postdoctoral research fellow with the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA). He is currently a professor with CASIA. His current research interests include computer vision, color constancy, visual saliency detection, multi-instance learning, and data mining. Jiying Wu holds a Ph.D. in Signal and Information Processing and has completed postdoctoral research in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. She is currently a Senior Engineer and a recipient of the National Youth Talent Award from the State Administration for Market Regulation. She is now serving at the Competition Policy and Evaluation Center of the State Administration for Market Regulation, where she focuses on competition assessment, AI-based data analysis, and technical support for antitrust investigations. She possesses a strong technical background and extensive industry experience. Qing Gao, Ph.D. in Civil and Commercial Law, Postdoctoral Researcher in Economic Law，is currently serving as an Associate Professor at the School of Juris Master in China University of Political Science and Law, and as the doctoral supervisor of the CUPL Data Law Lab. His major research interests lie in Competition Law and Data Law. Ning Du received the Ph.D. degree from the University of International Business and Economics, Beijing, China, in 2017. He is currently an assistant professor at the East China University of Political Science and Law. His research interests include Antitrust Law, Intersection of Competition Law, Intellectual Property and AI.

Open Access, Computational antitrust and digital economy governance, Machine learning for monopolistic behavior detection, Large models in antitrust regulation and monitoring, Discriminatory pricing in platform economies, Antitrust solutions for e-commerce and ride-hailing platforms, Real-time detection of monopolistic behaviors, Big data-driven discriminatory pricing analysis, Advanced Dual Pricing Model Clustering (DPMC) framework, Intelligent antitrust systems with machine learning, Identifying monopoly in the digital economy, Algorithmic fairness in pricing for platform markets, AI and big data in antitrust law enforcement, Public sentiment analysis for antitrust clues, Large models in digital platform regulation, Data science applications in competitive fairness, Identifying consumer exploitation in digital platforms, Antitrust practices in e-commerce and digital services, Regulatory tools for platform-based market fairness

JB - Gesellschaft und Kultur, allgemein UYQ - Künstliche Intelligenz LNJ - Unterhaltungs- und Medienrecht KC - Wirtschaftswissenschaft L - Recht

235 mm

15.5 cm