The scientist’s investigation covers issues in Data mining, Mobile computing, Computer network, Search algorithm and Spatial database. His Data mining study incorporates themes from Object and Pruning. His studies deal with areas such as Services computing, Database index, Search engine indexing and Cache as well as Mobile computing.
His research in the fields of Atomic broadcast overlaps with other disciplines such as Wireless network. His Search algorithm research includes themes of Information retrieval, Web search query, Web query classification, Ranking and Document clustering. In general Nearest neighbor search, his work in Nearest neighbor graph is often linked to Fixed-radius near neighbors linking many areas of study.
Baihua Zheng spends much of his time researching Data mining, Nearest neighbor search, k-nearest neighbors algorithm, Theoretical computer science and Algorithm. Many of his research projects under Data mining are closely connected to Point with Point, tying the diverse disciplines of science together. The various areas that he examines in his k-nearest neighbors algorithm study include Object and Line segment.
His Theoretical computer science research incorporates themes from Algorithm design, Scalability, Probabilistic logic and Graph. Baihua Zheng works mostly in the field of Scalability, limiting it down to concerns involving Computer network and, occasionally, Distributed computing. His Pruning research is multidisciplinary, incorporating elements of Heuristics and Skyline.
His primary scientific interests are in Artificial intelligence, Data mining, Scalability, Schedule and Algorithm. His research integrates issues of Machine learning, Computer vision and Brute-force search in his study of Artificial intelligence. He interconnects Crowdsourcing and Human intelligence in the investigation of issues within Machine learning.
The concepts of his Data mining study are interwoven with issues in Active learning, Contrast and Road networks. His study in Scalability is interdisciplinary in nature, drawing from both Travel time, Real-time computing, Inference and Smart card. Baihua Zheng combines subjects such as Feature transformation and Probabilistic method with his study of Algorithm.
Baihua Zheng mainly focuses on Scalability, Artificial intelligence, Computer vision, Bus network and Schedule. He has included themes like Travel time, Inference, Real-time computing, Smart card and Task in his Scalability study. His work on Sensor fusion and Convolutional neural network as part of his general Artificial intelligence study is frequently connected to Fusion and Aerial image, thereby bridging the divide between different branches of science.
His Computer vision research is mostly focused on the topic Object. His Bus network study spans across into subjects like Greedy algorithm, Mathematical optimization, Optimization problem, Public transport and Partition. His Schedule research incorporates Linear programming, Heuristic, Scheduling and Approximation algorithm.
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.
IR-Tree: An Efficient Index for Geographic Document Search
Zhisheng Li;Ken C K Lee;Baihua Zheng;Wang-Chien Lee.
IEEE Transactions on Knowledge and Data Engineering (2011)
Data management in location-dependent information services
Dik Lun Lee;Jianliang Xu;Baihua Zheng;Wang-Chien Lee.
IEEE Pervasive Computing (2002)
Approaching the skyline in Z order
Ken C. K. Lee;Baihua Zheng;Huajing Li;Wang-Chien Lee.
very large data bases (2007)
Cache invalidation and replacement strategies for location-dependent data in mobile environments
Baihua Zheng;Jianliang Xu;D.L. Lee.
IEEE Transactions on Computers (2002)
Semantic Caching in Location-Dependent Query Processing
Baihua Zheng;Dik Lun Lee.
symposium on large spatial databases (2001)
Grid-partition index: a hybrid method for nearest-neighbor queries in wireless location-based services
Baihua Zheng;Jianliang Xu;Wang-Chien Lee;Lun Lee.
very large data bases (2006)
Spatial queries in wireless broadcast systems
Baihua Zheng;Wang-Chien Lee;Dik Lun Lee.
Wireless Networks (2004)
PRESS: a novel framework of trajectory compression in road networks
Renchu Song;Weiwei Sun;Baihua Zheng;Yu Zheng.
very large data bases (2014)
DSI: A Fully Distributed Spatial Index for Location-Based Wireless Broadcast Services
Wang-Chien Lee;Baihua Zheng.
international conference on distributed computing systems (2005)
Z-SKY: an efficient skyline query processing framework based on Z-order
Ken C. Lee;Wang-Chien Lee;Baihua Zheng;Huajing Li.
very large data bases (2010)
Profile was last updated on December 6th, 2021.
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