Xiaoyang Wang - Böcker

This timely study charts the intentional and accelerated rise of China's research universities by analyzing how state policy has transformed key institutions. Specifically, it addresses how state initiatives have influenced faculty life and academic culture at these campuses. Based on empirical studies at four of the nation's leading universities and including more than seventy semi-structured interviews with professors and key administrators, China's Rising Research Universities sheds light on fundamental changes in faculty life. These changes amount to nothing short of a dramatic transformation of academic culture at the nation's top universities. National initiatives driven by China's Ministry of Education seek to develop two overlapping sets of leading universities, through what are known as Project 211 (which affects about 100 universities) and Project 985 (which affects about 40 universities). Project 985 enhancements are particularly important to the country's efforts to strengthen university science and research.The book also addresses the broader context of higher education reform in China, arguing that recent efforts to elevate the nation's top universities toward world-class standing represent a shift in higher education policy development and implementation leading to what is described as China's Global Ambition Period. Offering important insights into the changing higher education policy context in an age increasingly defined by globalization, China's Rising Research Universities will appeal to higher education leaders and policymakers; students, faculty, and scientists who interact with Chinese counterparts; and scholars of international and comparative studies.

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions.

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions.

This proceedings constitutes selected papers from the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2024 which took place in Jinhua, China, August 30–September 1, 2024. The 28 full papers presented were carefully reviewed and selected from 49 submissions.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityVolume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.