His primary scientific interests are in Artificial intelligence, Computer network, World Wide Web, Wireless sensor network and Computer security. His biological study spans a wide range of topics, including Machine learning, Computer vision and Pattern recognition. While the research belongs to areas of Computer network, Chun Chen spends his time largely on the problem of Cryptography, intersecting his research to questions surrounding Node.
His study looks at the relationship between World Wide Web and topics such as Relevance, which overlap with Feature and Scheme. His work deals with themes such as Lossy compression and Base station, which intersect with Wireless sensor network. Many of his research projects under Computer security are closely connected to Security service and Smart grid with Security service and Smart grid, tying the diverse disciplines of science together.
Artificial intelligence, Computer vision, Pattern recognition, Wireless sensor network and Data mining are his primary areas of study. His Artificial intelligence research incorporates elements of Algorithm and Machine learning. His Pattern recognition research is multidisciplinary, incorporating elements of Speech recognition, Feature and Image retrieval.
His Wireless sensor network study introduces a deeper knowledge of Computer network. The study incorporates disciplines such as Wireless, Wireless network, Public-key cryptography and Computer security in addition to Computer network. His Data mining research includes elements of Scalability, Cluster analysis and k-nearest neighbors algorithm.
His primary areas of study are Artificial intelligence, Wireless sensor network, Machine learning, Pattern recognition and Social network. His study focuses on the intersection of Artificial intelligence and fields such as Computer vision with connections in the field of Process. Chun Chen has researched Wireless sensor network in several fields, including Wireless, Software deployment, Key distribution in wireless sensor networks, Real-time computing and Testbed.
In general Machine learning, his work in Cluster analysis and Regularization is often linked to Interaction information and Uniform distribution linking many areas of study. His study in Pattern recognition is interdisciplinary in nature, drawing from both Geometric transformation and Image retrieval. His research integrates issues of Maximization, Recommender system, Interpersonal ties, Focus and Data science in his study of Social network.
Chun Chen focuses on Artificial intelligence, Recommender system, Social influence, Preference and Machine learning. Chun Chen has included themes like Sparse matrix and Pattern recognition in his Artificial intelligence study. His studies deal with areas such as Background subtraction, Geometric transformation and Robustness as well as Pattern recognition.
His Recommender system research focuses on Social network and how it relates to Interpersonal ties, Human–computer interaction and Focus. A large part of his Machine learning studies is devoted to Cluster analysis. The concepts of his Information retrieval study are interwoven with issues in Probabilistic logic, Group and Missing data.
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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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