What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- The Internet
Li-wei He mainly focuses on Multimedia, Computer vision, Artificial intelligence, Pixel and World Wide Web.
His study looks at the relationship between Multimedia and topics such as Presentation, which overlap with The Internet, Information retrieval and Automatic summarization.
The Computer vision study combines topics in areas such as Linear interpolation and Interpolation.
His Artificial intelligence research integrates issues from Bilinear interpolation and Filter, Linear filter.
His work in the fields of World Wide Web, such as Client, Multimedia servers, Server and Remote evaluation, intersects with other areas such as User feedback.
His work carried out in the field of Rendering brings together such families of science as Coordinate system, Frame rate and Image warping.
His most cited work include:
- Layered depth images (1070 citations)
- Rendering with concentric mosaics (488 citations)
- The virtual cinematographer: a paradigm for automatic real-time camera control and directing (330 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Multimedia, Artificial intelligence, Computer vision, Computer graphics and Information retrieval.
His Multimedia research incorporates elements of Control and World Wide Web, Presentation.
The study of Artificial intelligence is intertwined with the study of Frame in a number of ways.
When carried out as part of a general Computer vision research project, his work on Pixel and Bilinear interpolation is frequently linked to work in Demosaicing, therefore connecting diverse disciplines of study.
Within one scientific family, Li-wei He focuses on topics pertaining to Rendering under Pixel, and may sometimes address concerns connected to Slit.
The study incorporates disciplines such as Whiteboard and Cinematography, Virtual cinematography in addition to Computer graphics.
He most often published in these fields:
- Multimedia (33.70%)
- Artificial intelligence (21.74%)
- Computer vision (20.65%)
What were the highlights of his more recent work (between 2010-2016)?
- Information retrieval (11.96%)
- Search engine (8.70%)
- Web query classification (6.52%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Information retrieval, Search engine, Web query classification, Web search query and Search analytics.
His Information retrieval research focuses on Semantic search in particular.
His work deals with themes such as Ranking, Ranking and Relevance, which intersect with Search engine.
His work often combines Ranking and Set studies.
His research integrates issues of Query expansion and Web page in his study of Web query classification.
Li-wei He combines subjects such as Sargable, Query language and Query optimization with his study of Query expansion.
Between 2010 and 2016, his most popular works were:
- Query suggestion by constructing term-transition graphs (53 citations)
- A task level metric for measuring web search satisfaction and its application on improving relevance estimation (50 citations)
- Evaluating the effectiveness of search task trails (49 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- The Internet
His primary scientific interests are in Information retrieval, Search analytics, Search engine, Web search query and Web query classification.
His study in the field of RDF query language is also linked to topics like Computer user satisfaction and Task analysis.
His study in RDF query language is interdisciplinary in nature, drawing from both Online aggregation, Sargable, Query language and Query optimization.
His Computer user satisfaction research incorporates elements of Semantic search, Metric, Metasearch engine and Relevance.
His work in Task analysis incorporates the disciplines of Web page, Recommender system, User information and Session.
His Web search query study often links to related topics such as Query expansion.
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