2019 - ACM Distinguished Member
2010 - ACM Senior Member
His primary areas of study are Data mining, Information retrieval, World Wide Web, Collaborative filtering and Artificial intelligence. His Data mining research is multidisciplinary, incorporating elements of Inference and Mobile computing. When carried out as part of a general Information retrieval research project, his work on Ranking is frequently linked to work in Property, therefore connecting diverse disciplines of study.
The study incorporates disciplines such as Service and Geographic information system in addition to World Wide Web. His work carried out in the field of Collaborative filtering brings together such families of science as Exploit, Geospatial analysis and Social network. His research integrates issues of Machine learning and Computer vision in his study of Artificial intelligence.
His scientific interests lie mostly in Information retrieval, Artificial intelligence, Data mining, World Wide Web and Machine learning. His work on Information retrieval is being expanded to include thematically relevant topics such as Web page. His studies deal with areas such as Recommender system, Computer vision and Natural language processing as well as Artificial intelligence.
His studies in Recommender system integrate themes in fields like Variety, Embedding and Knowledge graph. His research in Data mining intersects with topics in Inference and Social network. His World Wide Web study frequently draws connections to adjacent fields such as Context.
His main research concerns Artificial intelligence, Information retrieval, Recommender system, Machine learning and Natural language processing. His Information retrieval research is multidisciplinary, incorporating perspectives in Upload, Word, Leverage and Reading. His Recommender system research is multidisciplinary, relying on both Variety, Embedding and Knowledge graph.
He combines topics linked to Graph neural networks with his work on Machine learning. His Natural language processing research integrates issues from Field, Named-entity recognition, Social media and Representation. The study of Collaborative filtering is intertwined with the study of Social network in a number of ways.
Artificial intelligence, Information retrieval, Recommender system, Machine learning and Collaborative filtering are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Boundary and Natural language processing. Xing Xie combines subjects such as Word, Feature learning, Information overload and Social network with his study of Information retrieval.
His work deals with themes such as Multi-task learning, Feature, Representation and Human–computer interaction, which intersect with Recommender system. Collaborative filtering and Embedding are commonly linked in his work. His study looks at the intersection of Embedding and topics like Variety with Set.
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.
Mining interesting locations and travel sequences from GPS trajectories
Yu Zheng;Lizhu Zhang;Xing Xie;Wei-Ying Ma.
the web conference (2009)
Understanding mobility based on GPS data
Yu Zheng;Quannan Li;Yukun Chen;Xing Xie.
ubiquitous computing (2008)
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.
Yu Zheng;Xing Xie;Wei-Ying Ma.
IEEE Data(base) Engineering Bulletin (2010)
Discovering regions of different functions in a city using human mobility and POIs
Jing Yuan;Yu Zheng;Xing Xie.
knowledge discovery and data mining (2012)
T-drive: driving directions based on taxi trajectories
Jing Yuan;Yu Zheng;Chengyang Zhang;Wenlei Xie.
advances in geographic information systems (2010)
Map-matching for low-sampling-rate GPS trajectories
Yin Lou;Chengyang Zhang;Yu Zheng;Xing Xie.
advances in geographic information systems (2009)
Collaborative location and activity recommendations with GPS history data
Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang.
the web conference (2010)
Mining user similarity based on location history
Quannan Li;Yu Zheng;Xing Xie;Yukun Chen.
advances in geographic information systems (2008)
Driving with knowledge from the physical world
Jing Yuan;Yu Zheng;Xing Xie;Guangzhong Sun.
knowledge discovery and data mining (2011)
Learning transportation mode from raw gps data for geographic applications on the web
Yu Zheng;Like Liu;Longhao Wang;Xing Xie.
the web conference (2008)
Profile was last updated on December 6th, 2021.
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