Dijun Luo

According to our database, Dijun Luo authored at least 49 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.

Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo

IEEE Trans. Neural Networks Learn. Syst., 2022

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.

Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo

CoRR, 2022

Robust Imitation Learning from Corrupted Demonstrations.

Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo

CoRR, 2022

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.

Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo

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.

Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo

CoRR, 2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.

Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo

CoRR, 2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation.

Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo

CoRR, 2021

Bias-reduced multi-step hindsight experience replay.

Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li

CoRR, 2021

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

Lanqing Li, Yuanhao Huang, Dijun Luo

CoRR, 2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation.

Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo

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.

Lanqing Li, Rui Yang, Dijun Luo

Proceedings of the 9th International Conference on Learning Representations, 2021

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy.

Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control.

Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo

Proceedings of the Asian Conference on Machine Learning, 2021

2020

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

Lanqing Li, Rui Yang, Dijun Luo

CoRR, 2020

Deep Reinforcement Learning for Greenhouse Climate Control.

Lu Wang, Xiaofeng He, Dijun Luo

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

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

Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li

CoRR, 2019

2016

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.

Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks.

Mengfan Shan, Guihai Chen, Dijun Luo, Xiaojun Zhu, Xiaobing Wu

ACM Trans. Sens. Networks, 2014

Video Motion Segmentation Using New Adaptive Manifold Denoising Model.

Dijun Luo, Heng Huang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Toward structural sparsity: an explicit ℓ₂/ℓ₀ approach.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Knowl. Inf. Syst., 2013

2012

SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.

Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie

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.

Dijun Luo, Chris H. Q. Ding, Heng Huang

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.

Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart

Proceedings of the AMIA 2012, 2012

2011

Low-order tensor decompositions for social tagging recommendation.

Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Multi-Subspace Representation and Discovery.

Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks.

Dijun Luo, Xiaojun Zhu, Xiaobing Wu, Guihai Chen

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Robust Principal Component Analysis with Non-Greedy l₁-Norm Maximization.

Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

Proceedings of the IJCAI 2011, 2011

Ball Ranking Machine for Content-Based Multimedia Retrieval.

Dijun Luo, Heng Huang

Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.

Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang

Proceedings of the 28th International Conference on Machine Learning, 2011

Consensus spectral clustering in near-linear time.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie

Proceedings of the 27th International Conference on Data Engineering, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.

Dijun Luo, Heng Huang, Chris H. Q. Ding

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

On the eigenvectors of <i>p</i>-Laplacian.

Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie

Mach. Learn., 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.

Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Towards Structural Sparsity: An Explicit l2/l0 Approach.

Dijun Luo, Chris H. Q. Ding, Heng Huang

Proceedings of the ICDM 2010, 2010

2009

Link prediction of multimedia social network via unsupervised face recognition.

Dijun Luo, Heng Huang

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Non-negative Laplacian Embedding.

Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li

Proceedings of the ICDM 2009, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).

Dijun Luo, Chris H. Q. Ding, Heng Huang

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.

Dijun Luo, Rong Xiong

Neurocomputing, 2008

Posterior probabilistic clustering using NMF.

Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng

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.

Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li

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.

Chris H. Q. Ding, Heng Huang, Dijun Luo

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.

Dijun Luo, Rong Xiong

Proceedings of the Neural Information Processing, 13th International Conference, 2006