Dijun Luo

According to our database1, Dijun Luo authored at least 48 papers between 2006 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.
IEEE Trans. Neural Networks Learn. Syst., 2022

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process.
CoRR, 2022

Robust Imitation Learning from Corrupted Demonstrations.
CoRR, 2022

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning.
CoRR, 2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
CoRR, 2021

Bias-reduced multi-step hindsight experience replay.
CoRR, 2021

Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning.
CoRR, 2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization.
CoRR, 2020

Deep Reinforcement Learning for Greenhouse Climate Control.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR, 2019

2016
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014
Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2014

Video Motion Segmentation Using New Adaptive Manifold Denoising Model.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Toward structural sparsity: an explicit ℓ<sub>2</sub>/ℓ<sub>0</sub> approach.
Knowl. Inf. Syst., 2013

2012
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Parallelization with Multiplicative Algorithms for Big Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records.
Proceedings of the AMIA 2012, 2012

2011
Low-order tensor decompositions for social tagging recommendation.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Multi-Subspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Robust Principal Component Analysis with Non-Greedy l<sub>1</sub>-Norm Maximization.
Proceedings of the IJCAI 2011, 2011

Ball Ranking Machine for Content-Based Multimedia Retrieval.
Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.
Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Consensus spectral clustering in near-linear time.
Proceedings of the 27th International Conference on Data Engineering, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
On the eigenvectors of <i>p</i>-Laplacian.
Mach. Learn., 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Towards Structural Sparsity: An Explicit l2/l0 Approach.
Proceedings of the ICDM 2010, 2010

2009
Link prediction of multimedia social network via unsupervised face recognition.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Non-negative Laplacian Embedding.
Proceedings of the ICDM 2009, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
An improved error-correcting output coding framework with kernel-based decoding.
Neurocomputing, 2008

Posterior probabilistic clustering using NMF.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Tensor reduction error analysis - Applications to video compression and classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Distance Function Learning in Error-Correcting Output Coding Framework.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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