| 2022 | AAAI | 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 |
| 2021 | ACML | Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. | Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo |
| 2021 | ICLR | FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. | Lanqing Li, Rui Yang, Dijun Luo |
| 2021 | ICRA | Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. | Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo |
| 2016 | ICDM | 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 |
| 2014 | CVPR | Video Motion Segmentation Using New Adaptive Manifold Denoising Model. | Dijun Luo, Heng Huang |
| 2012 | AMIA | 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 |
| 2012 | ICDM | Parallelization with Multiplicative Algorithms for Big Data Mining. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2012 | SDM | 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 |
| 2011 | AAAI | Linear Discriminant Analysis: New Formulations and Overfit Analysis. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | AAAI | Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | ICCV | Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. | Dijun Luo, Heng Huang, Chris H. Q. Ding |
| 2011 | ICDE | Consensus spectral clustering in near-linear time. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2011 | ICML | Cauchy Graph Embedding. | Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2011 | IJCAI | Cluster Indicator Decomposition for Efficient Matrix Factorization. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | IJCAI | Ball Ranking Machine for Content-Based Multimedia Retrieval. | Dijun Luo, Heng Huang |
| 2011 | IJCAI | Robust Principal Component Analysis with Non-Greedy l | Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang |
| 2011 | INFOCOM | Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks. | Dijun Luo, Xiaojun Zhu, Xiaobing Wu, Guihai Chen |
| 2011 | PAKDD | Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | WSDM | Low-order tensor decompositions for social tagging recommendation. | Yuanzhe Cai, Miao Zhang, Dijun Luo, Chris H. Q. Ding, Sharma Chakravarthy |
| 2010 | ICDM | Towards Structural Sparsity: An Explicit l2/l0 Approach. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2009 | CVPR | Symmetric two dimensional linear discriminant analysis (2DLDA). | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2009 | ICDM | Non-negative Laplacian Embedding. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li |
| 2008 | CVPR | Tensor reduction error analysis - Applications to video compression and classification. | Chris H. Q. Ding, Heng Huang, Dijun Luo |
| 2008 | KDD | 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 |
| 2008 | SIGIR | Posterior probabilistic clustering using NMF. | Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng |
| 2006 | ICONIP | Distance Function Learning in Error-Correcting Output Coding Framework. | Dijun Luo, Rong Xiong |