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Publication search results
found 51 matches
- 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): 8618-8634 (2022) - 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): 5361-5373 (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: 11837-11845 - Liu Liu, Ziyang Tang, Lanqing Li, Dijun Luo:
Robust Imitation Learning from Corrupted Demonstrations. CoRR abs/2201.12594 (2022) - Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo:
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process. CoRR abs/2210.16884 (2022) - 2021
- Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao, Dijun Luo:
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. ACML 2021: 1208-1223 - 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: 436-444 - Lanqing Li, Rui Yang, Dijun Luo:
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. ICLR 2021 - Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo:
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. ICRA 2021: 4202-4208 - Lanqing Li, Yuanhao Huang, Dijun Luo:
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. CoRR abs/2102.10774 (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 abs/2102.12962 (2021) - Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo:
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. CoRR abs/2107.01825 (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 abs/2107.05464 (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 abs/2108.01295 (2021) - Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao:
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. CoRR abs/2108.11645 (2021) - 2020
- Lu Wang, Xiaofeng He, Dijun Luo:
Deep Reinforcement Learning for Greenhouse Climate Control. ICKG 2020: 474-480 - Lanqing Li, Rui Yang, Dijun Luo:
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. CoRR abs/2010.01112 (2020) - 2019
- Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li:
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention. CoRR abs/1907.04707 (2019) - 2016
- 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: 301-310 - 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): 11:1-11:24 (2014) - Dijun Luo, Heng Huang:
Video Motion Segmentation Using New Adaptive Manifold Denoising Model. CVPR 2014: 65-72 - 2013
- Dijun Luo, Chris H. Q. Ding, Heng Huang:
Toward structural sparsity: an explicit ℓ2/ℓ0 approach. Knowl. Inf. Syst. 36(2): 411-438 (2013) - 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:
Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM 2012: 489-498 - Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - 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: 576-587 - 2011
- Dijun Luo, Chris H. Q. Ding, Heng Huang:
Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI 2011: 417-422 - Dijun Luo, Chris H. Q. Ding, Heng Huang:
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI 2011: 423-428 - Dijun Luo, Heng Huang, Chris H. Q. Ding:
Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV 2011: 1443-1448 - Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090
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