Hypergraph Computation by Qionghai Dai
The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields.-
Towards a Code of Ethics for Artificial Intelligence
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AI Ethics
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Machine Learning Safety
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Responsible Artificial Intelligence
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Non-prioritized Belief Change
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Large Language Models
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Multi-Modal Robotic Intelligence
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Foundation Models for Natural Language Processing
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Heterogeneous Graph Representation Learning and Applications
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Coordination of Complex Sociotechnical Systems
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Subjective Logic
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Feature Selection for High-Dimensional Data
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Hybrid Metaheuristics
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Decision Diagrams for Optimization
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The Geometry of Uncertainty
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Neural Text-to-Speech Synthesis
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Bridging Constraint Satisfaction and Boolean Satisfiability
Yue Gao is an Associate Professor of School of Software at Tsinghua University. His main research interests focus on Artificial Intelligence, Computer Vision and Brain Science. He has published over 200 papers in the areas of Artificial Intelligence, 3D Vision, Multimedia, and Medical Image Analysis. Prof. Gao has authored the books " View-based 3-D Object Retrieval" (2014) and " Learning-Based Local Visual Representation and Indexing" (2015). He has been an associate editor for prestigious journals such as IEEE Transactions on Signal and Information Processing over Networks, Journal of Visual Communication and Image Representation, and IEEE Signal Processing Letters. He is a Senior Member of IEEE. He was listed as the Web of Science Highly Cited Researcher and Elsevier Highly Cited Chinese Researchers.
Qionghai Dai is a Professor and the Dean of School of Information at Tsinghua University. He is the member of Chinese Academy of Engineering. His main research interests focus on Artificial Intelligence, Computational Imaging and Brain Science. He has published over 400 papers at Cell, Nature Photonics, Nature Biotechnology, IEEE TPAMI, etc. Prof. Dai has authored the books " View-based 3-D Object Retrieval" (2014), " Learning-Based Local Visual Representation and Indexing" (2015), “3D Video Processing and Communication” (in Chinese, 2016), “Multidimensional Signal Processing: Fast Transform, Sparse Representation and Low-Rank Analysis” (in Chinese, 2016), and “Computational photography: Computational Capture of Plenoptic Visual Information” (in Chinese, 2016). He has been an associate editor for prestigious journals such as IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems. He is the President of Chinese Association for Artificial Intelligence, a Fellow of CAAI and CAA, and recipient of numerous awards, including the National Natural Science Award of China (three times). He was listed as the Web of Science Highly Cited Researcher.
| SKU | Unavailable |
| ISBN 13 | 9789819901845 |
| ISBN 10 | 9819901847 |
| Title | Hypergraph Computation |
| Author | Qionghai Dai |
| Series | Artificial Intelligence: Foundations Theory And Algorithms |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2023-05-16 |
| Number of pages | 244 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |