Distance Function Learning in Error-Correcting Output Coding Framework. - Dijun Luo; Rong Xiong (ICONIP (2), 2006)

Tensor reduction error analysis - Applications to video compression and classification. - Chris H. Q. Ding; Heng Huang; Dijun Luo (CVPR, 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 001 (KDD, 2008)

Posterior probabilistic clustering using NMF. - Chris H. Q. Ding; Tao Li 001; Dijun Luo; Wei Peng 001 (SIGIR, 2008)

An improved error-correcting output coding framework with kernel-based decoding. - Dijun Luo; Rong Xiong (Neurocomputing, 2008)

Symmetric two dimensional linear discriminant analysis (2DLDA). - Dijun Luo; Chris H. Q. Ding; Heng Huang (CVPR, 2009)

Non-negative Laplacian Embedding. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Tao Li 001 (ICDM, 2009)

Link prediction of multimedia social network via unsupervised face recognition. - Dijun Luo; Heng Huang (ACM Multimedia, 2009)

Towards Structural Sparsity: An Explicit l2/l0 Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ICDM, 2010)

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. - Feiping Nie 001; Chris H. Q. Ding; Dijun Luo; Heng Huang (ECML/PKDD (2), 2010)

On the eigenvectors of p-Laplacian. - Dijun Luo; Heng Huang; Chris H. Q. Ding; Feiping Nie 001 (Mach. Learn., 2010)

Linear Discriminant Analysis: New Formulations and Overfit Analysis. - Dijun Luo; Chris H. Q. Ding; Heng Huang (AAAI, 2011)

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. - Dijun Luo; Chris H. Q. Ding; Heng Huang (AAAI, 2011)

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. - Dijun Luo; Heng Huang; Chris H. Q. Ding (ICCV, 2011)

Consensus spectral clustering in near-linear time. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (ICDE, 2011)

Cauchy Graph Embedding. - Dijun Luo; Chris H. Q. Ding; Feiping Nie 001; Heng Huang (ICML, 2011)

Cluster Indicator Decomposition for Efficient Matrix Factorization. - Dijun Luo; Chris H. Q. Ding; Heng Huang (IJCAI, 2011)

Ball Ranking Machine for Content-Based Multimedia Retrieval. - Dijun Luo; Heng Huang (IJCAI, 2011)

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. - Feiping Nie 001; Heng Huang; Chris H. Q. Ding; Dijun Luo; Hua Wang 007 (IJCAI, 2011)

Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks. - Dijun Luo; Xiaojun Zhu 001; Xiaobing Wu; Guihai Chen (INFOCOM, 2011)

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. - Dijun Luo; Chris H. Q. Ding; Heng Huang (PAKDD (1), 2011)

Graph Evolution via Social Diffusion Processes. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ECML/PKDD (2), 2011)

Multi-Subspace Representation and Discovery. - Dijun Luo; Feiping Nie 001; Chris H. Q. Ding; Heng Huang (ECML/PKDD (2), 2011)

Low-order tensor decompositions for social tagging recommendation. - Yuanzhe Cai; Miao Zhang; Dijun Luo; Chris H. Q. Ding; Sharma Chakravarthy (WSDM, 2011)

Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. - Jimeng Sun 001; Jianying Hu; Dijun Luo; Marianthi Markatou; Fei Wang 001; Shahram Ebadollahi; Zahra Daar; Walter F. Stewart (AMIA, 2012)

Parallelization with Multiplicative Algorithms for Big Data Mining. - Dijun Luo; Chris H. Q. Ding; Heng Huang (ICDM, 2012)

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang; Feiping Nie 001 (NIPS, 2012)

SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. - Dijun Luo; Fei Wang 001; Jimeng Sun 001; Marianthi Markatou; Jianying Hu; Shahram Ebadollahi (SDM, 2012)

Toward structural sparsity: an explicit ℓ2/ℓ0 approach. - Dijun Luo; Chris H. Q. Ding; Heng Huang (Knowl. Inf. Syst., 2013)

Video Motion Segmentation Using New Adaptive Manifold Denoising Model. - Dijun Luo; Heng Huang (CVPR, 2014)

Building Maximum Lifetime Shortest Path Data Aggregation Trees in Wireless Sensor Networks. - Mengfan Shan; Guihai Chen; Dijun Luo; Xiaojun Zhu 001; Xiaobing Wu (ACM Trans. Sens. Networks, 2014)

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. - Dijun Luo; Zhouyuan Huo; Yang Wang; Andrew J. Saykin; Li Shen 001; Heng Huang (ICDM, 2016)

Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention. - Hao Chen 062; Lu Wang; Senzhang Wang; Dijun Luo; Wenbing Huang 001; Zhoujun Li 001 (CoRR, 2019)

Deep Reinforcement Learning for Greenhouse Climate Control. - Lu Wang; Xiaofeng He; Dijun Luo (ICKG, 2020)

Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. - Lanqing Li; Rui Yang 010; Dijun Luo (CoRR, 2020)

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. - Wanpeng Zhang 002; Xiaoyan Cao; Yao Yao 006; Zhicheng An; Xi Xiao; Dijun Luo (ACML, 2021)

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. - Zhicheng An; Xiaoyan Cao; Yao Yao 006; Wanpeng Zhang 002; Lanqing Li; Yue Wang; Shihui Guo; Dijun Luo (ICAPS, 2021)

FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. - Lanqing Li; Rui Yang; Dijun Luo (ICLR, 2021)

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yao Yao 006; Li Xiao 006; Zhicheng An; Wanpeng Zhang 002; Dijun Luo (ICRA, 2021)

Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. - Lanqing Li; Yuanhao Huang; Dijun Luo (CoRR, 2021)

Bias-reduced multi-step hindsight experience replay. - Rui Yang 010; Jiafei Lyu; Yu Yang 015; Jiangpeng Yan; Feng Luo; Dijun Luo; Lanqing Li; Xiu Li 001 (CoRR, 2021)

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yao Yao 006; Li Xiao 009; Zhicheng An; Wanpeng Zhang 002; Dijun Luo (CoRR, 2021)

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Shihui Guo; Li Xiao 009; Xiaoyu Cao; Dijun Luo (CoRR, 2021)

MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. - Wanpeng Zhang 002; Xi Xiao; Yao Yao 006; Mingzhe Chen; Dijun Luo (CoRR, 2021)

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Xiaoyan Cao; Yao Yao 006; Lanqing Li; Wanpeng Zhang 002; Zhicheng An; Zhong Zhang; Li Xiao 009; Shihui Guo; Xiaoyu Cao; Meihong Wu; Dijun Luo (AAAI, 2022)

Robust Imitation Learning from Corrupted Demonstrations. - Liu Liu 014; Ziyang Tang; Lanqing Li; Dijun Luo (CoRR, 2022)

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process. - Fuyang Li; Jiying Zhang; Xi Xiao; Bin Zhang 048; Dijun Luo (CoRR, 2022)

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Dijun Luo; Hongyuan Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. - Lu Wang 029; Lei Han; Xinru Chen; Chengchang Li; Junzhou Huang; Weinan Zhang 001; Wei Zhang 056; Xiaofeng He; Dijun Luo (IEEE Trans. Neural Networks Learn. Syst., 2022)