The scientist’s investigation covers issues in Artificial intelligence, Computer network, Graph, Computer vision and Information retrieval. The concepts of his Artificial intelligence study are interwoven with issues in Natural language processing, Key and Pattern recognition. His Computer network study integrates concerns from other disciplines, such as Computer security and Cryptography.
His Graph study combines topics from a wide range of disciplines, such as Graph theory and Graph. The study incorporates disciplines such as Probabilistic logic and Robustness in addition to Computer vision. His work on Recommender system as part of general Information retrieval research is frequently linked to Popularity, bridging the gap between disciplines.
His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Wireless sensor network and Computer network. His studies in Artificial intelligence integrate themes in fields like Machine learning and Natural language processing. His research in Computer vision intersects with topics in Frame and Facial expression.
His research on Pattern recognition often connects related topics like Speech recognition. His studies deal with areas such as Wireless, Distributed computing, Key distribution in wireless sensor networks, Real-time computing and Dissemination as well as Wireless sensor network. His Computer network study combines topics in areas such as Computer security and Wireless network.
His scientific interests lie mostly in Artificial intelligence, Web accessibility, Graph, Information retrieval and Machine learning. His research integrates issues of Computer vision and Natural language processing in his study of Artificial intelligence. His Computer vision research is multidisciplinary, incorporating perspectives in Range and Set.
His Graph research includes themes of Computer network, Embedding and Theoretical computer science. His Identifier study, which is part of a larger body of work in Computer network, is frequently linked to Efficient energy use, bridging the gap between disciplines. Jiajun Bu combines subjects such as Active learning, Web page and Group with his study of Information retrieval.
Jiajun Bu spends much of his time researching Artificial intelligence, Computer network, Theoretical computer science, Web accessibility and Network packet. Much of his study explores Artificial intelligence relationship to Natural language processing. His Computer network research integrates issues from Decoding methods, Throughput and Code.
Jiajun Bu has included themes like Structure learning, Embedding, Feature learning and Pooling in his Theoretical computer science study. Within one scientific family, Jiajun Bu focuses on topics pertaining to Wireless sensor network under Network packet, and may sometimes address concerns connected to Communication source, Hop, Wireless and Wireless ad hoc network. His Deep learning research incorporates elements of Range and Feature extraction, Computer vision.
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Opinion word expansion and target extraction through double propagation
Guang Qiu;Bing Liu;Jiajun Bu;Chun Chen.
Computational Linguistics (2011)
Graph Regularized Sparse Coding for Image Representation
Miao Zheng;Jiajun Bu;Chun Chen;Can Wang.
IEEE Transactions on Image Processing (2011)
Expanding domain sentiment lexicon through double propagation
Guang Qiu;Bing Liu;Jiajun Bu;Chun Chen.
international joint conference on artificial intelligence (2009)
Music recommendation by unified hypergraph: combining social media information and music content
Jiajun Bu;Shulong Tan;Chun Chen;Can Wang.
acm multimedia (2010)
An Enhanced Two-factor User Authentication Scheme in Wireless Sensor Networks
Daojing He;Yi Gao;Sammy Chan;Chun Chen.
Ad Hoc & Sensor Wireless Networks (2010)
A strong user authentication scheme with smart cards for wireless communications
Daojing He;Maode Ma;Yan Zhang;Chun Chen.
Computer Communications (2011)
Semi-supervised Coupled Dictionary Learning for Person Re-identification
Xiao Liu;Mingli Song;Dacheng Tao;Xingchen Zhou.
computer vision and pattern recognition (2014)
An exploration of improving collaborative recommender systems via user-item subgroups
Bin Xu;Jiajun Bu;Chun Chen;Deng Cai.
the web conference (2012)
Secure and Efficient Handover Authentication Based on Bilinear Pairing Functions
Daojing He;Chun Chen;Sammy Chan;Jiajun Bu.
IEEE Transactions on Wireless Communications (2012)
ReTrust: Attack-Resistant and Lightweight Trust Management for Medical Sensor Networks
Daojing He;Chun Chen;S. Chan;Jiajun Bu.
international conference of the ieee engineering in medicine and biology society (2012)
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