2023 - Research.com Computer Science in China Leader Award
2016 - IEEE Fellow For contributions to multimedia content analysis and image search
2015 - ACM Distinguished Member
2009 - ACM Senior Member
Artificial intelligence, Information retrieval, Machine learning, Relevance and Computer vision are his primary areas of study. His Artificial intelligence study incorporates themes from Data mining and Pattern recognition. His Information retrieval study combines topics in areas such as Feature, Annotation and Image retrieval, Automatic image annotation, Visual Word.
His work on Support vector machine as part of general Machine learning research is often related to TRECVID, thus linking different fields of science. The concepts of his Relevance study are interwoven with issues in Multimedia and The Internet. His work focuses on many connections between Computer vision and other disciplines, such as Computer graphics, that overlap with his field of interest in Multiview Video Coding, Motion compensation and Video post-processing.
His primary areas of study are Artificial intelligence, Information retrieval, Machine learning, Pattern recognition and Multimedia. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Computer vision. Annotation is closely connected to Automatic image annotation in his research, which is encompassed under the umbrella topic of Information retrieval.
His Machine learning research integrates issues from Classifier, Training set, Data mining and Video annotation. The study incorporates disciplines such as Contextual image classification, Kernel and Cluster analysis in addition to Pattern recognition. His Multimedia research is multidisciplinary, incorporating perspectives in Video content analysis, World Wide Web, The Internet, Video processing and Mobile computing.
Xian-Sheng Hua focuses on Artificial intelligence, Information retrieval, Machine learning, World Wide Web and Pattern recognition. Xian-Sheng Hua combines topics linked to Computer vision with his work on Artificial intelligence. His study in the field of Relevance and Ranking is also linked to topics like TRECVID.
His work in the fields of Machine learning, such as Margin, overlaps with other areas such as Identity. While the research belongs to areas of World Wide Web, Xian-Sheng Hua spends his time largely on the problem of Variety, intersecting his research to questions surrounding Semantic search, Semantic gap, Data science and Visualization. His biological study spans a wide range of topics, including Space partitioning and Ternary search tree.
His primary scientific interests are in Artificial intelligence, Information retrieval, Pattern recognition, Semantics and Automatic summarization. In general Artificial intelligence study, his work on Language bias, Image and Question answering often relates to the realm of Baseline and Causal inference, thereby connecting several areas of interest. His Information retrieval research incorporates themes from Tag cloud and Data mining.
His Spanning tree research extends to the thematically linked field of Pattern recognition. He has researched Semantics in several fields, including Social media, Leverage and Upload. His Automatic summarization research incorporates elements of Video tracking, Video compression picture types, Multimedia, Data compression and Video processing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Correlative multi-label video annotation
Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang.
acm multimedia (2007)
A generic framework of user attention model and its application in video summarization
Yu-Fei Ma;Xian-Sheng Hua;Lie Lu;Hong-Jiang Zhang.
IEEE Transactions on Multimedia (2005)
Dong Liu;Xian-Sheng Hua;Linjun Yang;Meng Wang.
the web conference (2009)
Unified Video Annotation via Multigraph Learning
Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang.
IEEE Transactions on Circuits and Systems for Video Technology (2009)
Robust video signature based on ordinal measure
Xian-Sheng Hua;Xian Chen;Hong-Jiang Zhang.
international conference on image processing (2004)
Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation
Meng Wang;Xian-Sheng Hua;Jinhui Tang;Richang Hong.
IEEE Transactions on Multimedia (2009)
Automatically inserting advertisements into source video content playback streams
Xian-Sheng Hua;Wei Lai;Wei-Ying Ma;Shipeng Li.
Joint multi-label multi-instance learning for image classification
Zheng-Jun Zha;Xian-Sheng Hua;Tao Mei;Jingdong Wang.
computer vision and pattern recognition (2008)
Towards a Relevant and Diverse Search of Social Images
Meng Wang;Kuiyuan Yang;Xian-Sheng Hua;Hong-Jiang Zhang.
IEEE Transactions on Multimedia (2010)
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
Meng Wang;Bingbing Ni;Xian-Sheng Hua;Tat-Seng Chua.
ACM Computing Surveys (2012)
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