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Benjamin W. Wah
Researcher at The Chinese University of Hong Kong
Publications - 256
Citations - 7557
Benjamin W. Wah is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Nonlinear programming & Heuristics. The author has an hindex of 37, co-authored 254 publications receiving 7011 citations. Previous affiliations of Benjamin W. Wah include University of Illinois at Urbana–Champaign & National Science Foundation.
Papers
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Journal ArticleDOI
Knowledge and data engineering
TL;DR: An overview of the current research and development directions in knowledge and data engineering is provided, with respect to programmability and representation, design tradeoffs, algorithms and control, and emerging technologies.
Journal ArticleDOI
Significance and Challenges of Big Data Research
TL;DR: This position paper briefly introduces the concept of big data, including its definition, features, and value, and identifies from different perspectives the significance and opportunities that big data brings to us.
Book ChapterDOI
Multi-dimensional regression analysis of time-series data streams
TL;DR: An exception-guided drilling approach is developed for on-line, multi-dimensional exception-based regression analysis, and algorithms are proposed for efficient analysis of time-series data streams.
Algorithms for the Satisfiability (SAT) Problem: A Survey,
TL;DR: This survey presents a general framework (an algorithm space) that integrates existing SAT algorithms into a unified perspective and describes sequential and parallel SAT algorithms including variable splitting, resolution, local search, global optimization, mathematical programming, and practical SAT algorithms.
Proceedings ArticleDOI
A survey of error-concealment schemes for real-time audio and video transmissions over the Internet
Benjamin W. Wah,Xiao Su,Dong Lin +2 more
TL;DR: This paper reviews error-concealment schemes developed for streaming real-time audio and video data over the Internet and classifies existing techniques into source coder-independent schemes that treat underlying source coders as black boxes, and sourcecoder-dependent schemes that exploit coding-specific characteristics to perform reconstruction.