Quan Yuan

Affiliations:
  • Facebook, Menlo Park, CA, USA
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Data Mining Research Group, IL, USA (former)
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2015)


According to our database1, Quan Yuan authored at least 32 papers between 2012 and 2018.

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Bibliography

2018
Spatiotemporal Topic Detection from Social Media.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
ACM Trans. Intell. Syst. Technol., 2018

Open-Schema Event Profiling for Massive News Corpora.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks.
Proc. VLDB Endow., 2017

Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning.
Proceedings of the 26th International Conference on World Wide Web, 2017

PRED: Periodic Region Detection for Mobility Modeling of Social Media Users.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Towards Personalized Maps: Mining User Preferences from Geo-textual Data.
Proc. VLDB Endow., 2016

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Exploiting spatial, temporal, and semantic information for point-of-interest recommendation
PhD thesis, 2015

Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users.
ACM Trans. Inf. Syst., 2015

Personalized Ranking Metric Embedding for Next New POI Recommendation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Tri-Role Topic Model for Domain-Specific Question Answering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Where your photo is taken: Geolocation prediction for social images.
J. Assoc. Inf. Sci. Technol., 2014

COM: a generative model for group recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Time-aware point-of-interest recommendation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Who, where, when and what: discover spatio-temporal topics for twitter users.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives.
ACM Trans. Inf. Syst., 2012

Enhancing naive bayes with various smoothing methods for short text classification.
Proceedings of the 21st World Wide Web Conference, 2012

Category hierarchy maintenance: a data-driven approach.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Topic-driven reader comments summarization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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