De-Chuan Zhan

According to our database1, De-Chuan Zhan authored at least 48 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Learning Multiple Local Metrics: Global Consideration Helps.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach.
Mach. Learn., 2020

Revisiting Meta-Learning as Supervised Learning.
CoRR, 2020

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.
CoRR, 2020

A semi-supervised attention model for identifying authentic sneakers.
Big Data Min. Anal., 2020

Bottom-Up and Top-Down Graph Pooling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Distilling Cross-Task Knowledge via Relationship Matching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast generalization rates for distance metric learning.
Mach. Learn., 2019

Learning Classifier Synthesis for Generalized Few-Shot Learning.
CoRR, 2019

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Robust Unsupervised Multi-Modal Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-View Anomaly Detection: Neighborhood in Locality Matters.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Embedding Adaptation for Few-Shot Learning.
CoRR, 2018

Deep Multi-modal Learning with Cascade Consensus.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-network User Identification via Graph-Aware Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Distance Metric Facilitated Transportation between Heterogeneous Domains.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rectify Heterogeneous Models with Semantic Mapping.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Semantic Features for Software Defect Prediction by Code Comments Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Modal Consistency based Pre-Trained Multi-Model Reuse.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Instance Specific Discriminative Modal Pursuit: A Serialized Approach.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Deep Learning for Fixed Model Reuse.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning by Actively Querying Strong Modal Features.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Feature Aware Metric.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Learning Expected Hitting Time Distance.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instance Specific Metric Subspace Learning: A Bayesian Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Pairwised Specific Distance Learning from Physical Linkages.
ACM Trans. Knowl. Discov. Data, 2015

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
A Novel Serial Multimodal Biometrics Framework Based on Semisupervised Learning Techniques.
IEEE Trans. Inf. Forensics Secur., 2014

2013
Multi Gesture Recognition: A Tracking Learning Detection Approach.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA.
Proceedings of the IJCAI 2013, 2013

2012
Learning with Weak Views Based on Dependence Maximization Dimensionality Reduction.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2009
Learning instance specific distances using metric propagation.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2007
Predicting Future Customers via Ensembling Gradually Expanded Trees.
Int. J. Data Warehous. Min., 2007

Semi-Supervised Learning with Very Few Labeled Training Examples.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Neighbor Line-Based Locally Linear Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
Supervised nonlinear dimensionality reduction for visualization and classification.
IEEE Trans. Syst. Man Cybern. Part B, 2005


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