Jialie Shen mainly investigates Artificial intelligence, Information retrieval, Pattern recognition, Visual Word and Image retrieval. Jialie Shen has researched Artificial intelligence in several fields, including Data modeling, Theoretical computer science, Universal hashing, Dynamic perfect hashing and Machine learning. His biological study spans a wide range of topics, including Text mining, Annotation and Knowledge organization.
Jialie Shen combines topics linked to Computer vision with his work on Pattern recognition. His work carried out in the field of Visual Word brings together such families of science as Visualization and Relevance. His research in Image retrieval tackles topics such as Hash function which are related to areas like Content-based image retrieval, Unsupervised learning, Watermark and Code.
His main research concerns Artificial intelligence, Information retrieval, Data mining, Pattern recognition and Machine learning. Many of his studies involve connections with topics such as Computer vision and Artificial intelligence. His Information retrieval research incorporates elements of Similarity and Metadata.
His Data mining study incorporates themes from Image, Image retrieval, Neural coding and Feature vector. Jialie Shen works mostly in the field of Pattern recognition, limiting it down to topics relating to Hash function and, in certain cases, Theoretical computer science, as a part of the same area of interest. His Feature extraction study deals with Visualization intersecting with Landmark.
Jialie Shen mainly focuses on Artificial intelligence, Recommender system, Deep learning, Pattern recognition and Information retrieval. Artificial intelligence is frequently linked to Machine learning in his study. His studies deal with areas such as Multimedia, Key, User profile and Human–computer interaction as well as Recommender system.
His Deep learning study combines topics in areas such as Hash function, Feature learning and Factor analysis. The various areas that Jialie Shen examines in his Pattern recognition study include Re ranking and Leverage. Jialie Shen does research in Information retrieval, focusing on Search engine indexing specifically.
His scientific interests lie mostly in Deep learning, Artificial intelligence, Pattern recognition, Convolutional neural network and Image retrieval. The study incorporates disciplines such as Hash function, Feature learning and Factor analysis in addition to Deep learning. His Re ranking, Feature extraction and Leverage study in the realm of Artificial intelligence connects with subjects such as Noise measurement and Sketch.
His Convolutional neural network research is multidisciplinary, incorporating elements of Similarity measure, Construct, Image and Information retrieval. His Image retrieval study spans across into fields like Clothing and Product.
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Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search
Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen.
IEEE Transactions on Image Processing (2013)
Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations
Shuhui Jiang;Xueming Qian;Jialie Shen;Yun Fu.
IEEE Transactions on Multimedia (2015)
Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation
Luming Zhang;Yue Gao;Yingjie Xia;Ke Lu.
IEEE Transactions on Multimedia (2014)
Weakly-supervised hashing in kernel space
Yadong Mu;Jialie Shen;Shuicheng Yan.
computer vision and pattern recognition (2010)
Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
Lei Zhu;Jialie Shen;Liang Xie;Zhiyong Cheng.
IEEE Transactions on Knowledge and Data Engineering (2017)
Exploring Representativeness and Informativeness for Active Learning
Bo Du;Zengmao Wang;Lefei Zhang;Liangpei Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2017)
On Effective Location-Aware Music Recommendation
Zhiyong Cheng;Jialie Shen.
ACM Transactions on Information Systems (2016)
Bayesian Tensor Approach for 3-D Face Modeling
Dacheng Tao;Mingli Song;Xuelong Li;Jialie Shen.
IEEE Transactions on Circuits and Systems for Video Technology (2008)
Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge
Liqiang Nie;Yi-Liang Zhao;Mohammad Akbari;Jialie Shen.
IEEE Transactions on Knowledge and Data Engineering (2015)
Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation
Zhiyong Cheng;Jialie Shen.
international conference on multimedia retrieval (2014)
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