Weishan Dong

Publication Activity (10 Years)

Years Active: 2007-2019
Publications (10 Years): 15

Top Topics

Regularization Framework

Continuous Optimization

Top Venues

IBM J. Res. Dev.

Publications

Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, Xin Zhang
Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 41 (6) (2019)
Pei Li, Bingyu Shen, Weishan Dong
An Anti-fraud System for Car Insurance Claim Based on Visual Evidence. CoRR (2018)
Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha
Self-Paced Multi-Task Learning. AAAI (2017)
Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang
Autoencoder Regularized Network For Driving Style Representation Learning. IJCAI (2017)
Weishan Dong, Ting Yuan, Kai Yang, Changsheng Li, Shilei Zhang
Autoencoder Regularized Network For Driving Style Representation Learning. CoRR (2017)
Wei Sun, Jun Zhu, Ning Duan, Peng Gao, Guo Qiang Hu, Weishan Dong, Zhi Hu Wang, Xin Zhang, Peng Ji, Chunyang Ma, Jing Chang Huang
Moving object map analytics: A framework enabling contextual spatial-temporal analytics of Internet of Things applications. SOLI (2016)
Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang
Characterizing Driving Styles with Deep Learning. CoRR (2016)
Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang
Spatially Regularized Streaming Sensor Selection. AAAI (2016)
Chunyang Ma, Xin Zhang, Peng Gao, Weishan Dong, Changsheng Li
Space-map-matching-based candidate selection for GPS map matching. SOLI (2016)
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha
Self-Paced Multi-Task Learning. CoRR (2016)
Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang
Max-Margin-Based Discriminative Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang
A Self-Paced Regularization Framework for Multi-Label Learning. CoRR (2016)
Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
Active Sample Learning and Feature Selection: A Unified Approach. CoRR (2015)
Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu
Human Age Estimation Based on Locality and Ordinal Information. IEEE Trans. Cybern. 45 (11) (2015)
Changsheng Li, Weishan Dong, Qingshan Liu, Xin Zhang
MORES: Online Incremental Multiple-Output Regression for Data Streams. CoRR (2014)
H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar
SoLoMo analytics for telco Big Data monetization. IBM J. Res. Dev. 58 (5/6) (2014)
Chunhua Tian, Yu Wang, Wen Ting Mo, F. C. Huang, Weishan Dong, Jin Huang
Pre-release sales forecasting: A model-driven context feature extraction approach. IBM J. Res. Dev. 58 (5/6) (2014)
Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang
Max-Margin based Discriminative Feature Learning. CoRR (2014)
Xin Zhang, Guoqiang Hu, Ning Duan, Peng Gao, Weishan Dong, Jun Zhu
Scalable Mobile Data Streaming with Trajectory Preserving Partitioning. IEEE MS (2014)
Tao Zhang, Qi Liao, Lei Shi, Weishan Dong
Analyzing Spatiotemporal Anomalies through Interactive Visualization. Informatics 1 (1) (2014)
Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu
Multiple-Output Regression with High-Order Structure Information. ICPR (2014)
Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan
Maximizing Multi-scale Spatial Statistical Discrepancy. CIKM (2014)
Rui Wang, Weishan Dong, Yu Wang, Ke Tang, Xin Yao
Pipe failure prediction: A data mining method. ICDE (2013)
Weishan Dong, Tianshi Chen, Peter Tiño, Xin Yao
Scaling Up Estimation of Distribution Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 17 (6) (2013)
Yu Wang, Jin Huang, Weishan Dong, Junchi Yan, Chunhua Tian, Min Li, Wen Ting Mo
Two-stage based ensemble optimization framework for large-scale global optimization. Eur. J. Oper. Res. 228 (2) (2013)
Min Li, Shenghua Bao, Weishan Dong, Yu Wang, Zhong Su
Head-shoulder based gender recognition. ICIP (2013)
Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong
Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. IJCAI (2013)
Min Li, Qi Hu, Yu Wang, Weishan Dong
Human detection based on pyramidal statistics of oriented filtering and online learned scene geometrical model. Neurocomputing 101 (2013)
Weishan Dong, Wei Fan, Lei Shi, Changjin Zhou, Xifeng Yan
A general framework to encode heterogeneous information sources for contextual pattern mining. CIKM (2012)
Weishan Dong, Li Li, Changjin Zhou, Yu Wang, Min Li, Chunhua Tian, Wei Sun
Discovery of generalized spatial association rules. SOLI (2012)
Weishan Dong, Xin Zhang, Li Li, Changhua Sun, Lei Shi, Wei Sun
Detecting Irregularly Shaped Significant Spatial and Spatio-Temporal Clusters. SDM (2012)
Xin Zhang, Ning Duan, Weishan Dong
Relational rule learning in decoupled heterogeneous subspaces. SOLI (2012)
Li Li, Weishan Dong, Chunhua Tian, Wei Sun
Point pattern analysis utilizing controlled randomization for police tactical planning. SOLI (2012)
Yu Wang, Junchi Yan, Chunhua Tian, Weishan Dong, Jin Huang
Experimental analysis of different optimization techniques on leakage localization using series alignment. SOLI (2012)
Weishan Dong, Tianshi Chen, Peter Tiño, Xin Yao
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization CoRR (2011)
Kai Tang, Zhong Bo Jiang, Wei Sun, Xin Zhang, Weishan Dong
Research on Tenant Placement Based on Business Relations. ICEBE (2010)
Weishan Dong, Xin Yao
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization. IEEE Congress on Evolutionary Computation (2008)
Weishan Dong, Xin Yao
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms. Inf. Sci. 178 (15) (2008)
Weishan Dong, Xin Yao
Covariance matrix repairing in Gaussian based EDAs. IEEE Congress on Evolutionary Computation (2007)
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu Tan
EDA Approach for Model Based Localization and Recognition of Vehicles. CVPR (2007)