E
Erheng Zhong
Researcher at Hong Kong University of Science and Technology
Publications - 47
Citations - 1871
Erheng Zhong is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Transfer of learning & Collaborative filtering. The author has an hindex of 21, co-authored 47 publications receiving 1582 citations. Previous affiliations of Erheng Zhong include Baidu & Yahoo!.
Papers
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Proceedings ArticleDOI
Beyond clicks: dwell time for personalization
TL;DR: A novel method to compute accurate dwell time based on client-side and server-side logging is described and how to normalize dwell time across different devices and contexts is demonstrated.
Proceedings ArticleDOI
Transitive Transfer Learning
TL;DR: TTL is aimed at breaking the large domain distances and transfer knowledge even when the source and target domains share few factors directly, and a learning framework to mimic the human learning process is proposed.
Book ChapterDOI
Cross validation framework to choose amongst models and datasets for transfer learning
TL;DR: A new criterion to overcome "double" distribution shift is formulated and a practical approach "Transfer Cross Validation" (TrCV) is presented to select both models and data in a cross validation framework, optimized for transfer learning.
Proceedings ArticleDOI
Cross domain distribution adaptation via kernel mapping
TL;DR: Experimental results demonstrate that the proposed adaptive kernel approach outperforms both traditional inductive classifiers and the state-of-the-art boosting-based transfer algorithms on most domains, including text categorization and web page ratings.
Proceedings Article
Discovering spammers in social networks
TL;DR: A Supervised Matrix Factorization method with Social Regularization (SMFSR) for spammer detection in social networks that exploits both social activities as well as users' social relations in an innovative and highly scalable manner is proposed.