Jun Luo

Affiliations:
  • Machine Intelligence Center Lenovo Group Limited, Hong Kong, China
  • University of Texas at Dallas, TX, USA (PhD 2006)


According to our database1, Jun Luo authored at least 46 papers between 2011 and 2021.

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Bibliography

2021
Skyline Diagram: Efficient Space Partitioning for Skyline Queries.
IEEE Trans. Knowl. Data Eng., 2021

Group-Based Skyline for Pareto Optimal Groups.
IEEE Trans. Knowl. Data Eng., 2021

Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model.
IEEE Trans. Knowl. Data Eng., 2021

Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2021

Eclipse: Generalizing kNN and Skyline.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.
ACM Trans. Intell. Syst. Technol., 2020

Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
User Preference Analysis for Most Frequent Peer/Dominator.
IEEE Trans. Knowl. Data Eng., 2019

CityLines: Designing Hybrid Hub-and-Spoke Transit System with Urban Big Data.
IEEE Trans. Big Data, 2019

Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query.
IEEE Trans. Big Data, 2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.
CoRR, 2019

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SkyRec: Finding Pareto Optimal Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Transforming Policy via Reward Advancement.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Human-Centric Urban Transit Evaluation and Planning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018

2017
Eclipse: Practicability Beyond 1NN and Skyline.
CoRR, 2017

Modeling urban trip demands in cloud-commuting system: A holistic approach.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

CityLines: Hybrid Hub-and-Spoke Urban Transit System.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Data-driven inverse learning of passenger preferences in urban public transits.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

The Optimal Distribution of Electric-Vehicle Chargers across a City.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Finding Pareto Optimal Groups: Group-based Skyline.
Proc. VLDB Endow., 2015

Speed Partitioning for Indexing Moving Objects.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Growing the charging station network for electric vehicles with trajectory data analytics.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

VPIndexer: velocity-based partitioning for indexing moving objects.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Finding Probabilistic k-Skyline Sets on Uncertain Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Privacy Preserving Publication of Locations Based on Delaunay Triangulation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Priv., 2013

Semantic Security: Privacy Definitions Revisited.
Trans. Data Priv., 2013

A privacy framework: indistinguishable privacy.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2011
Effective Privacy Preserved Clustering Based on Voronoi Diagram.
Proceedings of the Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011

Half-Plane Voronoi Diagram.
Proceedings of the Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011

Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
Proceedings of the Data Mining Workshops (ICDMW), 2011


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