Gao Cong

Orcid: 0000-0002-4430-6373

Affiliations:
  • Nanyang Technological University, Singapore
  • Aalborg University, Department of Computer Science, Denmark
  • Microsoft Research Asia
  • University of Edinburgh, School of Informatics, UK
  • National University of Singapore, Department of Computer Science


According to our database1, Gao Cong authored at least 258 papers between 2002 and 2024.

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Bibliography

2024
CAMAL: Optimizing LSM-trees via Active Learning.
Proc. ACM Manag. Data, September, 2024

BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data.
Proc. ACM Manag. Data, September, 2024

DeepMeshCity: A Deep Learning Model for Urban Grid Prediction.
ACM Trans. Knowl. Discov. Data, July, 2024

Zero-shot urban function inference with street view images through prompting a pretrained vision-language model.
Int. J. Geogr. Inf. Sci., July, 2024

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper).
ACM Trans. Spatial Algorithms Syst., June, 2024

Trajectory Similarity Measurement: An Efficiency Perspective.
Proc. VLDB Endow., May, 2024

Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network.
Proc. VLDB Endow., March, 2024

Self-supervised Learning for Geospatial AI: A Survey.
CoRR, 2024

Road Network Representation Learning with the Third Law of Geography.
CoRR, 2024

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
CoRR, 2024

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.
CoRR, 2024

LAMP: A Language Model on the Map.
CoRR, 2024

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.
CoRR, 2024

MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations.
Proceedings of the ACM on Web Conference 2024, 2024

UnifiedSSR: A Unified Framework of Sequential Search and Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Machine Learning for Databases: Foundations, Paradigms, and Open problems.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Quantum Algorithms for the Maximum K-Plex Problem.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

City Foundation Models for Learning General Purpose Representations from OpenStreetMap.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

On Evaluation Metrics for Diversity-enhanced Recommendations.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
STAR: A Cache-based Stream Warehouse System for Spatial Data.
ACM Trans. Spatial Algorithms Syst., December, 2023

A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies.
Proc. VLDB Endow., December, 2023

PLATON: Top-down R-tree Packing with Learned Partition Policy.
Proc. ACM Manag. Data, December, 2023

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries.
Proc. ACM Manag. Data, December, 2023

Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes.
Proc. ACM Manag. Data, December, 2023

TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals.
Proc. VLDB Endow., November, 2023

Region Embedding With Intra and Inter-View Contrastive Learning.
IEEE Trans. Knowl. Data Eng., September, 2023

Similar Sports Play Retrieval With Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Towards Designing and Learning Piecewise Space-Filling Curves.
Proc. VLDB Endow., 2023

WISK: A Workload-aware Learned Index for Spatial Keyword Queries.
Proc. ACM Manag. Data, 2023

Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries.
Proc. ACM Manag. Data, 2023

The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.
Proc. ACM Manag. Data, 2023

Mining Geospatial Relationships from Text.
Proc. ACM Manag. Data, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR, 2023

CityFM: City Foundation Models to Solve Urban Challenges.
CoRR, 2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.
CoRR, 2023

Improving the Inference of Topic Models via Infinite Latent State Replications.
CoRR, 2023

Urban Region Representation Learning with OpenStreetMap Building Footprints.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multivariate Time-series Imputation with Disentangled Temporal Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models.
IEEE Trans. Knowl. Data Eng., 2022

A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning.
IEEE Trans. Knowl. Data Eng., 2022

Deterministic Inference of Topic Models via Maximal Latent State Replication.
IEEE Trans. Knowl. Data Eng., 2022

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., 2022

A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream.
ACM Trans. Knowl. Discov. Data, 2022

Let Trajectories Speak Out the Traffic Bottlenecks.
ACM Trans. Intell. Syst. Technol., 2022

QueryFormer: A Tree Transformer Model for Query Plan Representation.
Proc. VLDB Endow., 2022

Learned Index Benefits: Machine Learning Based Index Performance Estimation.
Proc. VLDB Endow., 2022

ABC: Attributed Bipartite Co-clustering.
Proc. VLDB Endow., 2022

Example-based Spatial Pattern Matching.
Proc. VLDB Endow., 2022

A Survey on Trajectory Data Management, Analytics, and Learning.
ACM Comput. Surv., 2022

Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning.
CoRR, 2022

Geospatial Entity Resolution.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DMCS : Density Modularity based Community Search.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Entity Resolution with Hierarchical Graph Attention Networks.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
Location- and keyword-based querying of geo-textual data: a survey.
VLDB J., 2021

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning.
ACM Trans. Intell. Syst. Technol., 2021

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
Proc. VLDB Endow., 2021

Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
Proc. VLDB Endow., 2021

Sinkhorn Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Trajectory Simplification with Reinforcement Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects.
IEEE Trans. Knowl. Data Eng., 2020

Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.
Proc. VLDB Endow., 2020

SSTD: A Distributed System on Streaming Spatio-Textual Data.
Proc. VLDB Endow., 2020

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation.
CoRR, 2020

Exploring Global Information for Session-based Recommendation.
CoRR, 2020

Modeling Marked Temporal Point Process Using Multi-relation Structure RNN.
Cogn. Comput., 2020

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Context-aware Deep Model for Joint Mobility and Time Prediction.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Densely Connected User Community and Location Cluster Search in Location-Based Social Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020

STAR: A Distributed Stream Warehouse System for Spatial Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Global Context Enhanced Graph Neural Networks for Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Spatial Transition Learning on Road Networks with Deep Probabilistic Models.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Spatio-Textual Data.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Exploring market competition over topics in spatio-temporal document collections.
VLDB J., 2019

Evaluating pattern matching queries for spatial databases.
VLDB J., 2019

Finding Attribute-Aware Similar Region for Data Analysis.
Proc. VLDB Endow., 2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction.
CoRR, 2019

Social Big Data: Mining, Applications, and Beyond.
Complex., 2019

Learning Travel Time Distributions with Deep Generative Model.
Proceedings of the World Wide Web Conference, 2019

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Effective and Efficient Sports Play Retrieval with Deep Representation Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

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

Reverse k Nearest Neighbor Search over Trajectories.
IEEE Trans. Knowl. Data Eng., 2018

Linking Fine-Grained Locations in User Comments.
IEEE Trans. Knowl. Data Eng., 2018

PANDA: A System for Partial Topology-based Search on Large Networks.
Proc. VLDB Endow., 2018

Representation Learning for Spatial Graphs.
CoRR, 2018

Hyperbolic Recommender Systems.
CoRR, 2018

Attention-based Group Recommendation.
CoRR, 2018

Heron Inference for Bayesian Graphical Models.
CoRR, 2018

Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018

POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps.
Proceedings of the 2018 International Conference on Management of Data, 2018

Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration.
Proceedings of the 2018 International Conference on Management of Data, 2018

Efficient Similar Region Search with Deep Metric Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

High-dimensional Similarity Learning via Dual-sparse Random Projection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Representation Learning for Trajectory Similarity Computation.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Linking Fine-Grained Locations in User Comments (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Inf2vec: Latent Representation Model for Social Influence Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

SpaceKey: Exploring Patterns in Spatial Databases.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On Spatial Pattern Matching.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

ANR: Aspect-based Neural Recommender.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
PANDA: toward partial topology-based search on large networks in a single machine.
VLDB J., 2017

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach.
IEEE Trans. Knowl. Data Eng., 2017

Influence Maximization in Trajectory Databases.
IEEE Trans. Knowl. Data Eng., 2017

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

A General Model for Out-of-town Region Recommendation.
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

Distributed Algorithms on Exact Personalized PageRank.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Biclustering: An application of Dual Topic Models.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Discovering Pollution Sources and Propagation Patterns in Urban Area.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Robust Self-Tuning Sparse Subspace Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

POI2Vec: Geographical Latent Representation for Predicting Future Visitors.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning to Find Topic Experts in Twitter via Different Relations.
IEEE Trans. Knowl. Data Eng., 2016

A General Recommendation Model for Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2016

Proxies for Shortest Path and Distance Queries.
IEEE Trans. Knowl. Data Eng., 2016

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

A System for Region Search and Exploration.
Proc. VLDB Endow., 2016

Maximizing influence under influence loss constraint in social networks.
Expert Syst. Appl., 2016

Joint Recognition and Linking of Fine-Grained Locations from Tweets.
Proceedings of the 25th International Conference on World Wide Web, 2016

Topic Exploration in Spatio-Temporal Document Collections.
Proceedings of the 2016 International Conference on Management of Data, 2016

Towards Best Region Search for Data Exploration.
Proceedings of the 2016 International Conference on Management of Data, 2016

Querying Geo-Textual Data: Spatial Keyword Queries and Beyond.
Proceedings of the 2016 International Conference on Management of Data, 2016

ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Querying and mining geo-textual data for exploration: Challenges and opportunities.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Annotating Points of Interest with Geo-tagged Tweets.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Efficient Processing of Location-Aware Group Preference Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

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

Efficient Processing of Spatial Group Keyword Queries.
ACM Trans. Database Syst., 2015

An Association-Based Unified Framework for Mining Features and Opinion Words.
ACM Trans. Intell. Syst. Technol., 2015

Efficient Algorithms for Answering the m-Closest Keywords Query.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Diversity-Aware Top-k Publish/Subscribe for Text Stream.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

A general graph-based model for recommendation in event-based social networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Temporal Spatial-Keyword Top-k publish/subscribe.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Efficient algorithms for answering reverse spatial-keyword nearest neighbor queries.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 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

DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

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

On Information Coverage for Location Category Based Point-of-Interest Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Efficient Algorithms and Cost Models for Reverse Spatial-Keyword <i>k</i>-Nearest Neighbor Search.
ACM Trans. Database Syst., 2014

Influence Spreading Path and Its Application to the Time Constrained Social Influence Maximization Problem and Beyond.
IEEE Trans. Knowl. Data Eng., 2014

Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs.
IEEE Trans. Knowl. Data Eng., 2014

SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe.
Proc. VLDB Endow., 2014

Retrieving Regions of Interest for User Exploration.
Proc. VLDB Endow., 2014

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

3D Subspace Clustering for Value Investing.
IEEE Intell. Syst., 2014

In search of influential event organizers in online social networks.
Proceedings of the International Conference on Management of Data, 2014

Coarse-to-fine review selection via supervised joint aspect and sentiment model.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

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

Distributed Spatial Keyword Querying on Road Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 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

Influence Maximization with Novelty Decay in Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Centroid-Based Actionable 3D Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2013

Front Matter.
Proc. VLDB Endow., 2013

Spatial Keyword Query Processing: An Experimental Evaluation.
Proc. VLDB Endow., 2013

On predicting the popularity of newly emerging hashtags in Twitter.
J. Assoc. Inf. Sci. Technol., 2013

Novel document detection for massive data streams using distributed dictionary learning.
IBM J. Res. Dev., 2013

A survey on enhanced subspace clustering.
Data Min. Knowl. Discov., 2013

An efficient query indexing mechanism for filtering geo-textual data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 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

KORS: Keyword-aware Optimal Route Search System.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Efficient proximity detection among mobile objects in road networks with self-adjustment methods.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

2012
Evolutionary taxonomy construction from dynamic tag space.
World Wide Web, 2012

A framework for efficient spatial web object retrieval.
VLDB J., 2012

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

Partial Evaluation for Distributed XPath Query Processing and Beyond.
ACM Trans. Database Syst., 2012

Joint Top-K Spatial Keyword Query Processing.
IEEE Trans. Knowl. Data Eng., 2012

On the Complexity of View Update Analysis and Its Application to Annotation Propagation.
IEEE Trans. Knowl. Data Eng., 2012

Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation.
Proc. VLDB Endow., 2012

DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks.
Proc. VLDB Endow., 2012

SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects.
Proc. VLDB Endow., 2012

Keyword-aware Optimal Route Search.
Proc. VLDB Endow., 2012

Extracting representative motion flows for effective video retrieval.
Multim. Tools Appl., 2012

An evaluation of classification models for question topic categorization.
J. Assoc. Inf. Sci. Technol., 2012

Efficient Spatial Keyword Search in Trajectory Databases
CoRR, 2012

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

Functional Feature Extraction and Chemical Retrieval.
Proceedings of the Scientific and Statistical Database Management, 2012

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

Will this #hashtag be popular tomorrow?
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Author Name Disambiguation Using a New Categorical Distribution Similarity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Overlapping decomposition for causal graphical modeling.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Time Constrained Influence Maximization in Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Spatial Keyword Querying.
Proceedings of the Conceptual Modeling, 2012

Spatial Keyword Queries.
Proceedings of the Database Systems for Advanced Applications, 2012

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

One seed to find them all: mining opinion features via association.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Reverse spatial and textual k nearest neighbor search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Collective spatial keyword querying.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Efficient continuously moving top-k spatial keyword query processing.
Proceedings of the 27th International Conference on Data Engineering, 2011

Integrating Community Question and Answer Archives.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Simulated Annealing Based Influence Maximization in Social Networks.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Mining Significant Semantic Locations From GPS Data.
Proc. VLDB Endow., 2010

Retrieving Top-k Prestige-Based Relevant Spatial Web Objects.
Proc. VLDB Endow., 2010

Updating XML views and querying XML views with update syntax.
Int. J. Comput. Sci. Eng., 2010

A generalized framework of exploring category information for question retrieval in community question answer archives.
Proceedings of the 19th International Conference on World Wide Web, 2010

Content-enriched classifier for web video classification.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Community-based greedy algorithm for mining top-K influential nodes in mobile social networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Using Transactional Data from ERP Systems for Expert Finding.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

ISIS: A New Approach for Efficient Similarity Search in Sparse Databases.
Proceedings of the Database Systems for Advanced Applications, 2010

Exploring domain-specific term weight in archived question search.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects.
Proc. VLDB Endow., 2009

Efficient Algorithm for Computing Link-Based Similarity in Real World Networks.
Proceedings of the ICDM 2009, 2009

Routing Questions to the Right Users in Online Communities.
Proceedings of the 25th International Conference on Data Engineering, 2009

A Revisit of Query Expansion with Different Semantic Levels.
Proceedings of the Database Systems for Advanced Applications, 2009

The use of categorization information in language models for question retrieval.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Updating Recursive XML Views of Relations.
J. Comput. Sci. Technol., 2008

Semantic similarity based on compact concept ontology.
Proceedings of the 17th International Conference on World Wide Web, 2008

Finding question-answer pairs from online forums.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums.
Proceedings of the ACL 2008, 2008

2007
Improving Data Quality: Consistency and Accuracy.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Querying xml with update syntax.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Distributed query evaluation with performance guarantees.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Query and Update Through XML Views.
Proceedings of the Databases in Networked Information Systems, 5th International Workshop, 2007

Detecting Erroneous Sentences using Automatically Mined Sequential Patterns.
Proceedings of the ACL 2007, 2007

Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Using Partial Evaluation in Distributed Query Evaluation.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Exploring composite acoustic features for efficient music similarity query.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

An Estimation System for XPath Expressions.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Summarizing Frequent Patterns Using Profiles.
Proceedings of the Database Systems for Advanced Applications, 2006

Annotation propagation revisited for key preserving views.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Mining Top-k Covering Rule Groups for Gene Expression Data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

On Effective E-mail Classification via Neural Networks.
Proceedings of the Database and Expert Systems Applications, 16th International Conference, 2005

2004
Semantic Mining and Analysis of Gene Expression Data.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

COBBLER: Combining Column and Row Enumeration for Closed Pattern Discovery.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

FARMER: Finding Interesting Rule Groups in Microarray Datasets.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Incremental maintenance of quotient cube for median.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Mining Frequent Closed Patterns in Microarray Data.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Go Green: Recycle and Reuse Frequent Patterns.
Proceedings of the 20th International Conference on Data Engineering, 2004

Semi-supervised Text Classification Using Partitioned EM.
Proceedings of the Database Systems for Advances Applications, 2004

2003
Carpenter: finding closed patterns in long biological datasets.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
Discovering Frequent Substructures from Hierarchical Semi-structured Data.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Speed-up Iterative Frequent Itemset Mining with Constraint Changes.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


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