Dijun Luo - RankMe

51 papers A* 23A 2C 1Misc 1Journal 17Unranked 7

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