Dijun Luo

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Motion Segmentation

Top Venues

ACM Trans. Sens. Networks

IEEE Trans. Neural Networks Learn. Syst.

Knowl. Inf. Syst.

Publications

Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. AAAI (2022)
Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo
Robust Imitation Learning from Corrupted Demonstrations. CoRR (2022)
Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process. CoRR (2022)
Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. ACML (2021)
Lanqing Li, Rui Yang, Dijun Luo
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. ICLR (2021)
Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. CoRR (2021)
Lanqing Li, Yuanhao Huang, Dijun Luo
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. CoRR (2021)
Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo
A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. ICAPS (2021)
Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. CoRR (2021)
Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. CoRR (2021)
Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
Bias-reduced multi-step hindsight experience replay. CoRR (2021)
Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. CoRR (2021)
Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. ICRA (2021)
Lanqing Li, Rui Yang, Dijun Luo
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. CoRR (2020)
Lu Wang, Xiaofeng He, Dijun Luo
Deep Reinforcement Learning for Greenhouse Climate Control. ICKG (2020)
Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention. CoRR (2019)
Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM (2016)
Dijun Luo, Heng Huang
Video Motion Segmentation Using New Adaptive Manifold Denoising Model. CVPR (2014)
Mengfan Shan, Guihai Chen, Dijun Luo, Xiaojun Zhu, Xiaobing Wu
Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks. ACM Trans. Sens. Networks 11 (1) (2014)
Dijun Luo, Chris H. Q. Ding, Heng Huang
approach. Knowl. Inf. Syst. 36 (2) (2013)
Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. SDM (2012)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM (2012)
Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. AMIA (2012)
Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS (2012)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) (2011)
Dijun Luo, Heng Huang, Chris H. Q. Ding
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV (2011)
Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang
Cauchy Graph Embedding. ICML (2011)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI (2011)
Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
Consensus spectral clustering in near-linear time. ICDE (2011)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI (2011)
Dijun Luo, Heng Huang
Ball Ranking Machine for Content-Based Multimedia Retrieval. IJCAI (2011)
Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy
Low-order tensor decompositions for social tagging recommendation. WSDM (2011)
Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
-Norm Maximization. IJCAI (2011)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI (2011)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) (2011)
Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang
Multi-Subspace Representation and Discovery. ECML/PKDD (2) (2011)
Dijun Luo, Xiaojun Zhu, Xiaobing Wu, Guihai Chen
Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks. INFOCOM (2011)
Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) (2010)
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie
-Laplacian. Mach. Learn. 81 (1) (2010)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM (2010)
Dijun Luo, Chris H. Q. Ding, Heng Huang
Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR (2009)
Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li
Non-negative Laplacian Embedding. ICDM (2009)
Dijun Luo, Heng Huang
Link prediction of multimedia social network via unsupervised face recognition. ACM Multimedia (2009)
Dijun Luo, Heng Huang, Chris H. Q. Ding
Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms CoRR (2009)
Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng
Posterior probabilistic clustering using NMF. SIGIR (2008)
Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD (2008)
Dijun Luo, Rong Xiong
An improved error-correcting output coding framework with kernel-based decoding. Neurocomputing 71 (16-18) (2008)
Chris H. Q. Ding, Heng Huang, Dijun Luo
Tensor reduction error analysis - Applications to video compression and classification. CVPR (2008)
Dijun Luo, Rong Xiong
Distance Function Learning in Error-Correcting Output Coding Framework. ICONIP (2) (2006)