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Viewing Publication 1 - 44 from 44

2024

2 regulation considering cost and photosynthesis rate using i-nsGA ⅡPan Gao, Miao Lu, Yongxia Yang, Huarui Wu, Hanping Mao, Jin Hu. eswa, 237(Part C):121680, March 2024. [doi]

Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in ChinaWeiwei Zhang, Zixi Liu, Kun Qin, Shaoqing Dai, Huiyuan Lu, Miao Lu, Jianwan Ji, Zhaohui Yang, Chao Chen, Peng Jia 0001. remotesensing, 16(6):1028, March 2024. [doi]

2023

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate ForecastingZijun Yao 0001, Deguang Kong, Miao Lu, Xiao Bai 0002, Jian Yang, Hui Xiong 0001. tbd, 9(1):280-293, February 2023. [doi]

Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial CoverageJose H. Blanchet, Miao Lu, Tong Zhang, Han Zhong. nips 2023: [doi]

Greenhouse environmental control target constrained by discrete surface curvature and multi-objective optimization algorithmPan Gao, Miao Lu, Huimin Li, Hanping Mao, Jin Hu, Huarui Wu. cea, 215:108431, December 2023. [doi]

A cooperative regulation method for greenhouse soil moisture and light using Gaussian curvature and machine learning algorithmsJunying Hou, Yuanfang Li, Zhangtong Sun, Haoyu Wang, Miao Lu, Jin Hu, Huarui Wu. cea, 215:108452, December 2023. [doi]

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and ExplorationZhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang 0001. nips 2023: [doi]

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision ProcessesMiao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang. iclr 2023: [doi]

An optimization approach for environmental control using quantum genetic algorithm and support vector regressionMiao Lu, Pan Gao, Huimin Li, Zhangtong Sun, Ning Yang, Jin Hu. cea, 215:108432, December 2023. [doi]

HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of ChinaYingqiang Song, Dexi Zhan, Zhenxin He, Wenhui Li, Wenxu Duan, Zhongkang Yang, Miao Lu. cea, 213:108254, October 2023. [doi]

Tree-Structured Parzan Estimator-Machine Learning-Ordinary Kriging: An Integration Method for Soil Ammonia Spatial Prediction in the Typical Cropland of Chinese Yellow River Delta with Sentinel-2 Remote Sensing Image and Air Quality DataYingqiang Song, Mingzhu Ye, Zhao Zheng, Dexi Zhan, Wenxu Duan, Miao Lu, Zhenqi Song, Dengkuo Sun, Kaizhong Yao, Ziqi Ding. remotesensing, 15(17):4268, September 2023. [doi]

The Changes in Dominant Driving Factors in the Evolution Process of Wetland in the Yellow River Delta during 2015-2022Cuixia Wei, Bing Guo, Miao Lu, Wenqian Zang, Fei Yang, Chuan Liu, Baoyu Wang, Xiangzhi Huang, Yifeng Liu, Yang Yu, Jialin Li, Mei Xu. remotesensing, 15(11):2858, 2023. [doi]

Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM modelYongxia Yang, Pan Gao, Zhangtong Sun, Haoyu Wang, Miao Lu, Yingying Liu, Jin Hu. cea, 213:108261, October 2023. [doi]

The Responses of Vegetation NPP Dynamics to the Influences of Climate-Human Factors on Qinghai-Tibet Plateau from 2000 to 2020Xingming Yuan, Bing Guo, Miao Lu. remotesensing, 15(9):2419, May 2023. [doi]

2022

A decision-making model for light environment control of tomato seedlings aiming at the knee point of light-response curvesPan Gao, Ziwei Tian, Youqi Lu, Miao Lu, Haihui Zhang, Huarui Wu, Jin Hu. cea, 198:107103, 2022. [doi]

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy OptimizationYufei Kuang, Miao Lu, Jie Wang, Qi Zhou 0008, Bin Li, Houqiang Li. AAAI 2022: 7247-7254 [doi]

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI DetectionYue Liao, Aixi Zhang, Miao Lu, Yongliang Wang, Xiaobo Li, Si Liu 0001. cvpr 2022: 20091-20100 [doi]

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange EconomyZhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang. icml 2022: 13870-13911 [doi]

Genetic Programming for High-Level Feature Learning in Crop ClassificationMiao Lu, Ying Bi, Bing Xue 0001, Qiong Hu 0002, Mengjie Zhang 0001, Yanbing Wei, Peng Yang 0005, Wenbin Wu. remotesensing, 14(16):3982, 2022. [doi]

An Object-Based Genetic Programming Approach for Cropland Field ExtractionCaiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang 0001, Qingbo Zhou, Wenbin Wu. remotesensing, 14(5):1275, 2022. [doi]

A Sub-Seasonal Crop Information Identification Framework for Crop Rotation Mapping in Smallholder Farming Areas with Time Series Sentinel-2 ImageryHuaqiao Xing, Bingyao Chen, Miao Lu. remotesensing, 14(24):6280, December 2022. [doi]

2021

2020

2019

Comparison of Two Synergy Approaches for Hybrid Cropland MappingDi Chen, Miao Lu, Qingbo Zhou, Jingfeng Xiao, Yating Ru, Yanbing Wei, Wenbin Wu. remotesensing, 11(3):213, 2019. [doi]

A Quaternion's Encoding Sine Cosine AlgorithmLi Lv, Dengxu He, Miao Lu, Yundi Rao. icic 2019: 707-718 [doi]

2018

2017

A Synergy Cropland of China by Fusing Multiple Existing Maps and StatisticsMiao Lu, Wenbin Wu, Liangzhi You, Di Chen, Li Zhang, Peng Yang, Huajun Tang. sensors, 17(7):1613, 2017. [doi]

2016

2015

Automatic change detection of urban land-cover based on SVM classificationWei Li, Miao Lu, Xiuwan Chen. igarss 2015: 1686-1689 [doi]

2011

Researches and Simulations of Information Hiding in Alamouti Transmission SystemLiquan Chen, Miao Lu, Jingbo Chen. ifip8-3 2011: 593-597 [doi]

2008

A Data-Aided Channel Estimation Method Based on CAZACMiao Lu, Bo Chen, Xiaolin Hou, Xin Zhang, Dongmei Luo. vtc 2008: 1-5 [doi]

2007

Analysis and Simulation for Radio Access Network Architecture of 3GPP Long Term EvolutionHaipeng Lei, Yafeng Wang, Miao Lu, Dacheng Yang. pimrc 2007: 1-5 [doi]

Study on EUTRA DFT-S OFDM Uplink Channel EstimationMiao Lu, Yafeng Wang, Haipeng Lei, Dacheng Yang. pimrc 2007: 1-4 [doi]

2006

A Differential Evolution Based Method for Power System PlanningZhao Yang Dong, Miao Lu, Zhe Lu, Kit Po Wong. cec 2006: 2699-2706 [doi]

2003

Automatic Generation of Test Purposes for Testing Distributed SystemsOlaf Henniger, Miao Lu, Hasan Ural. fates 2004: 178-191 [doi]

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