Weishan Dong

Affiliations:
  • Baidu Search, Beijing, China
  • IBM Research, Beijing, China


According to our database1, Weishan Dong authored at least 39 papers between 2007 and 2019.

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Bibliography

2019
Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018
An Anti-fraud System for Car Insurance Claim Based on Visual Evidence.
CoRR, 2018

2017
Autoencoder Regularized Network For Driving Style Representation Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-Paced Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Max-Margin-Based Discriminative Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Self-Paced Regularization Framework for Multi-Label Learning.
CoRR, 2016

Characterizing Driving Styles with Deep Learning.
CoRR, 2016

Space-map-matching-based candidate selection for GPS map matching.
Proceedings of the 2016 IEEE International Conference on Service Operations and Logistics, 2016

Moving object map analytics: A framework enabling contextual spatial-temporal analytics of Internet of Things applications.
Proceedings of the 2016 IEEE International Conference on Service Operations and Logistics, 2016

Spatially Regularized Streaming Sensor Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Human Age Estimation Based on Locality and Ordinal Information.
IEEE Trans. Cybern., 2015

Active Sample Learning and Feature Selection: A Unified Approach.
CoRR, 2015

Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution.
Proceedings of the Computational Intelligence in Digital and Network Designs and Applications, 2015

2014
Analyzing Spatiotemporal Anomalies through Interactive Visualization.
Informatics, 2014

Pre-release sales forecasting: A model-driven context feature extraction approach.
IBM J. Res. Dev., 2014

SoLoMo analytics for telco Big Data monetization.
IBM J. Res. Dev., 2014

Max-Margin based Discriminative Feature Learning.
CoRR, 2014

MORES: Online Incremental Multiple-Output Regression for Data Streams.
CoRR, 2014

Scalable Mobile Data Streaming with Trajectory Preserving Partitioning.
Proceedings of the IEEE Third International Conference on Mobile Services, Anchorage, AK, USA, June 27, 2014

Multiple-Output Regression with High-Order Structure Information.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Maximizing Multi-scale Spatial Statistical Discrepancy.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Scaling Up Estimation of Distribution Algorithms for Continuous Optimization.
IEEE Trans. Evol. Comput., 2013

Human detection based on pyramidal statistics of oriented filtering and online learned scene geometrical model.
Neurocomputing, 2013

Two-stage based ensemble optimization framework for large-scale global optimization.
Eur. J. Oper. Res., 2013

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
Proceedings of the IJCAI 2013, 2013

Head-shoulder based gender recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Pipe failure prediction: A data mining method.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Point pattern analysis utilizing controlled randomization for police tactical planning.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Discovery of generalized spatial association rules.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Experimental analysis of different optimization techniques on leakage localization using series alignment.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Relational rule learning in decoupled heterogeneous subspaces.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Detecting Irregularly Shaped Significant Spatial and Spatio-Temporal Clusters.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A general framework to encode heterogeneous information sources for contextual pattern mining.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Research on Tenant Placement Based on Business Relations.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

2008
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms.
Inf. Sci., 2008

NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
EDA Approach for Model Based Localization and Recognition of Vehicles.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Covariance matrix repairing in Gaussian based EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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