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Huaxiu Yao(姚骅修)
Ph.D
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My current research focuses on developing computational methods to improve the generalization capability of machine learning algorithms through the combination of knowledge transfer and relation learning. I am also passionate about applying these methods for solving social problems (i.e., AI for social good). Revolving around this goal, I mainly study the following topics:
- Machine Learning: meta-learning, few-shot learning, transfer learning, multi-task learning, continual learning, AutoML, relation learning, physics-guided machine learning
- Applications: transportation, environment, healthcare, education, bioinformatics
- Machine Learning: meta-learning, few-shot learning, transfer learning, multi-task learning, continual learning, AutoML, relation learning, physics-guided machine learning
- Applications: transportation, environment, healthcare, education, bioinformatics
Papers28 papers
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WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining
Houston
..., pp.884-887, (2020)
NIPS 2020, (2020)
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.3539-3540, (2020)
ICLR, (2020)
national conference on artificial intelligence, (2020)
national conference on artificial intelligence, (2020)
national conference on artificial intelligence, (2020)
national conference on artificial intelligence, (2020)
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining
Houston
..., pp.600-608, (2020)
Xianfeng Tang,Huaxiu Yao, Yiwei Sun, Yiqi Wang,Jiliang Tang,Charu Aggarwal,Prasenjit Mitra,Suhang Wang
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management
Virt..., pp.1435-1444, (2020)
CoRR, (2019): 7045-7054
national conference on artificial intelligence, (2019)
ACM Transactions on Intelligent Systems and Technology (TIST), no. 3 (2019)
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, (2019): 2181-2191
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, (2019): 1806-1817
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