Automatic Generation of Test Purposes for Testing Distributed Systems. - Olaf Henniger; Miao Lu; Hasan Ural (FATES, 2003)

A Differential Evolution Based Method for Power System Planning. - Zhao Yang Dong; Miao Lu; Zhe Lu; Kit Po Wong (IEEE Congress on Evolutionary Computation, 2006)

Analysis and Simulation for Radio Access Network Architecture of 3GPP Long Term Evolution. - Haipeng Lei; Yafeng Wang; Miao Lu; Dacheng Yang (PIMRC, 2007)

Study on EUTRA DFT-S OFDM Uplink Channel Estimation. - Miao Lu; Yafeng Wang; Haipeng Lei; Dacheng Yang (PIMRC, 2007)

A Data-Aided Channel Estimation Method Based on CAZAC. - Miao Lu; Bo Chen; Xiaolin Hou; Xin Zhang; Dongmei Luo (VTC Fall, 2008)

Researches and Simulations of Information Hiding in Alamouti Transmission System. - Liquan Chen; Miao Lu; Jingbo Chen (CIS, 2011)

Automatic change detection of urban land-cover based on SVM classification. - Wei Li; Miao Lu; Xiuwan Chen (IGARSS, 2015)

A Calibration-Free Crowdsourcing-Based Indoor Localization Solution. - Jie Yin; Ying Wu 006; Xinxin Zhang; Miao Lu (APSCC, 2016)

Information Hiding Capacities in Different Multiple Antennas Systems. - Liquan Chen; Zijuan Fan; Miao Lu; Aiqun Hu (J. Inf. Hiding Multim. Signal Process., 2016)

Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images. - Qiong Hu 002; Wenbin Wu; Qian Song; Qiangyi Yu; Miao Lu; Peng Yang 005; Huajun Tang; Yuqiao Long (IEEE Trans. Geosci. Remote. Sens., 2016)

A Synergy Cropland of China by Fusing Multiple Existing Maps and Statistics. - Miao Lu; Wenbin Wu; Liangzhi You; Di Chen; Li Zhang; Peng Yang 005; Huajun Tang (Sensors, 2017)

SACP: A Signcryption-Based Authentication Scheme with Conditional Privacy Preservation for VANET. - Miao Lu; Ying Wu 006; Yuwei Xu; Yijie Yang; Jingjing Wang (WASA, 2018)

Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting. - Hongchang Gao; Deguang Kong; Miao Lu; Xiao Bai 002; Jian Yang 002 (WWW, 2018)

I Sang, Therefore I am! Uses and Gratifications of Self-Mocking Memes and the Effects on Psychological Well-Being. - Miao Lu; Hua Fan (Int. J. Cyber Behav. Psychol. Learn., 2018)

Regular Connected Bipancyclic Spanning Subgraphs of Torus Networks. - Miao Lu; Shurong Zhang; Weihua Yang (Parallel Process. Lett., 2018)

A Quaternion's Encoding Sine Cosine Algorithm. - Li Lv; Dengxu He; Miao Lu; Yundi Rao (ICIC (1), 2019)

Comparison of Two Synergy Approaches for Hybrid Cropland Mapping. - Di Chen; Miao Lu; Qingbo Zhou; Jingfeng Xiao; Yating Ru; Yanbing Wei; Wenbin Wu (Remote. Sens., 2019)

First Impression: AI Understands Personality. - Xiaohui Wang 004; Xia Liang; Miao Lu; Jingyan Qin (ACM Multimedia, 2020)

Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. - Xian Wu 003; Suleyman Cetintas; Deguang Kong; Miao Lu; Jian Yang 002; Nitesh V. Chawla (WWW, 2020)

Multiple factors influence the consistency of cropland datasets in Africa. - Yanbing Wei; Miao Lu; Wenbin Wu; Yating Ru (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Application of Big Data and Cloud Computing in Food Analysis Data Processing. - Miao Lu (CSIA (1), 2021)

Mining the Benefits of Two-stage and One-stage HOI Detection. - Aixi Zhang; Yue Liao; Si Liu 001; Miao Lu; Yongliang Wang; Chen Gao 005; Xiaobo Li (NeurIPS, 2021)

Method for optimizing controlled conditions of plant growth using U-chord curvature. - Pan Gao; Bin Li; Jinghua Bai; Miao Lu; Pan Feng; Huarui Wu; Jin Hu (Comput. Electron. Agric., 2021)

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. - Yufei Kuang; Miao Lu; Jie Wang 005; Qi Zhou 008; Bin Li 025; Houqiang Li (AAAI, 2022)

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection. - Yue Liao; Aixi Zhang; Miao Lu; Yongliang Wang; Xiaobo Li; Si Liu 001 (CVPR, 2022)

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. - Zhihan Liu; Miao Lu; Zhaoran Wang 001; Michael I. Jordan; Zhuoran Yang (ICML, 2022)

A decision-making model for light environment control of tomato seedlings aiming at the knee point of light-response curves. - Pan Gao; Ziwei Tian; Youqi Lu; Miao Lu; Haihui Zhang; Huarui Wu; Jin Hu (Comput. Electron. Agric., 2022)

Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach. - Miao Lu; Wenhao Yang; Liangyu Zhang; Zhihua Zhang (CoRR, 2022)

Video Background Music Generation: Dataset, Method and Evaluation. - Le Zhuo; Zhaokai Wang; Baisen Wang; Yue Liao; Stanley Peng; Chenxi Bao; Miao Lu; Xiaobo Li; Si Liu 001 (CoRR, 2022)

Genetic Programming for High-Level Feature Learning in Crop Classification. - Miao Lu; Ying Bi; Bing Xue 001; Qiong Hu 002; Mengjie Zhang 001; Yanbing Wei; Peng Yang 005; Wenbin Wu (Remote. Sens., 2022)

An Object-Based Genetic Programming Approach for Cropland Field Extraction. - Caiyun Wen 001; Miao Lu; Ying Bi; Shengnan Zhang; Bing Xue 001; Mengjie Zhang 001; Qingbo Zhou; Wenbin Wu (Remote. Sens., 2022)

A Sub-Seasonal Crop Information Identification Framework for Crop Rotation Mapping in Smallholder Farming Areas with Time Series Sentinel-2 Imagery. - Huaqiao Xing; Bingyao Chen; Miao Lu (Remote. Sens., 2022)

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. - Miao Lu; Yifei Min; Zhaoran Wang 001; Zhuoran Yang (ICLR, 2023)

Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage. - Jose H. Blanchet; Miao Lu; Tong Zhang 001; Han Zhong 001 (NeurIPS, 2023)

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2023)

Robust Consensus Clustering and its Applications for Advertising Forecasting. - Deguang Kong; Miao Lu; Konstantin Shmakov; Jian Yang 002 (CoRR, 2023)

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2023)

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates. - Miao Lu; Beining Wu; Xiaodong Yang; Difan Zou (CoRR, 2023)

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

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting. - Zijun Yao 001; Deguang Kong; Miao Lu; Xiao Bai 002; Jian Yang 002; Hui Xiong 001 (IEEE Trans. Big Data, 2023)

The Responses of Vegetation NPP Dynamics to the Influences of Climate-Human Factors on Qinghai-Tibet Plateau from 2000 to 2020. - Xingming Yuan; Bing Guo; Miao Lu (Remote. Sens., 2023)

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 Data. - Yingqiang Song; Mingzhu Ye; Zhao Zheng; Dexi Zhan; Wenxu Duan; Miao Lu; Zhenqi Song; Dengkuo Sun; Kaizhong Yao; Ziqi Ding (Remote. Sens., 2023)

HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China. - Yingqiang Song; Dexi Zhan; Zhenxin He; Wenhui Li; Wenxu Duan; Zhongkang Yang; Miao Lu (Comput. Electron. Agric., 2023)

Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM model. - Yongxia Yang; Pan Gao; Zhangtong Sun; Haoyu Wang; Miao Lu; Yingying Liu; Jin Hu (Comput. Electron. Agric., 2023)

Greenhouse environmental control target constrained by discrete surface curvature and multi-objective optimization algorithm. - Pan Gao; Miao Lu; Huimin Li; Hanping Mao; Jin Hu; Huarui Wu (Comput. Electron. Agric., 2023)

A cooperative regulation method for greenhouse soil moisture and light using Gaussian curvature and machine learning algorithms. - Junying Hou; Yuanfang Li; Zhangtong Sun; Haoyu Wang; Miao Lu; Jin Hu; Huarui Wu (Comput. Electron. Agric., 2023)

An optimization approach for environmental control using quantum genetic algorithm and support vector regression. - Miao Lu; Pan Gao; Huimin Li; Zhangtong Sun; Ning Yang; Jin Hu (Comput. Electron. Agric., 2023)

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate. - Miao Lu; Beining Wu; Xiaodong Yang; Difan Zou (ICLR, 2024)

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. - Zhihan Liu; Miao Lu; Shenao Zhang; Boyi Liu 001; Hongyi Guo; Yingxiang Yang; Jose H. Blanchet; Zhaoran Wang 001 (NeurIPS, 2024)

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms. - Miao Lu; Han Zhong 001; Tong Zhang 001; Jose H. Blanchet (NeurIPS, 2024)

IPECM Platform: An open-source software for greenhouse environment regulation using machine learning and optimization algorithm. - Pan Gao; Miao Lu; Jinghua Xu; Hongming Zhang 002; Yanfeng Li; Jin Hu (Comput. Electron. Agric., 2024)

Determining optimal nitrogen concentration intervals throughout lettuce growth using fluorescence parameters. - Peizhe Li; Zhangtong Sun; Yongxia Yang; Miao Lu; Huimin Li; Haoran Yan; Jin Hu; Yuling Song (Comput. Electron. Agric., 2024)

A Vis/NIR device for detecting moldy apple cores using spectral shape features. - Haoling Liu; Ziyuan Wei; Miao Lu; Pan Gao; Jiangkuo Li; Juan Zhao; Jin Hu (Comput. Electron. Agric., 2024)

A Vis/NIRS device for evaluating leaf nitrogen content using K-means algorithm and feature extraction methods. - Miao Lu; Haoyu Wang; Jinghua Xu; Ziyuan Wei; Yihang Li; Jin Hu; Shijie Tian (Comput. Electron. Agric., 2024)

The normalized difference yellow vegetation index (NDYVI): A new index for crop identification by using GaoFen-6 WFV data. - Yanbing Wei; Miao Lu; Qiangyi Yu; Wenjuan Li 003; Cong Wang; Huajun Tang; Wenbin Wu (Comput. Electron. Agric., 2024)

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm. - Miao Lu; Han Zhong 001; Tong Zhang 001; Jose H. Blanchet (CoRR, 2024)

Mobile phone repair in Ghana: Comparing three approaches. - Miao Lu (New Media Soc., 2024)

Greenhouse light and CO2 regulation considering cost and photosynthesis rate using i-nsGA Ⅱ. - Pan Gao; Miao Lu; Yongxia Yang; Huarui Wu; Hanping Mao; Jin Hu (Expert Syst. Appl., 2024)

Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China. - Weiwei Zhang; Zixi Liu; Kun Qin; Shaoqing Dai; Huiyuan Lu; Miao Lu; Jianwan Ji; Zhaohui Yang; Chao Chen; Peng Jia 001 (Remote. Sens., 2024)

A New Large-Scale Monitoring Index of Desertification Based on Kernel Normalized Difference Vegetation Index and Feature Space Model. - Bing Guo; Rui Zhang; Miao Lu; Mei Xu; Panpan Liu; Longhao Wang (Remote. Sens., 2024)

A WebGIS-Based System for Supporting Saline-Alkali Soil Ecological Monitoring: A Case Study in Yellow River Delta, China. - Yingqiang Song; Yinxue Pan; Meiyan Xiang; Weihao Yang; Dexi Zhan; Xingrui Wang; Miao Lu (Remote. Sens., 2024)

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. - Siyu Chen 001; Beining Wu; Miao Lu; Zhuoran Yang; Tianhao Wang 002 (ICLR, 2025)

A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters. - Pan Gao; Miao Lu; Yongxia Yang; Huiming Li; Shijie Tian; Jin Hu (Comput. Electron. Agric., 2025)

A high-efficiency regulation method for optimal root zone temperature under different nitrogen fertilizer using discrete curvature. - Huimin Li; Ziyuan Wei; Miao Lu; Pan Gao; Zhangtong Sun; Huarui Wu; Jin Hu (Comput. Electron. Agric., 2025)

A hybrid approach using chained-SVR, MODE and DEA to optimize environmental control values in plant factories. - Miao Lu; Haoling Liu; Jinghua Xu; Huimin Li; Pan Gao; Hanping Mao; Jin Hu (Comput. Electron. Agric., 2025)

High-performance prediction of soil organic carbon using automatic hyperparameter optimization method in the yellow river delta of China. - Yingqiang Song; Feng Wang; Weihao Yang; Ruilin Liang; Dexi Zhan; Meiyan Xiang; Xiaohang Yang; Rui Xu; Miao Lu (Comput. Electron. Agric., 2025)

Customized crop feature construction using genetic programming for early- and in-season crop mapping. - Caiyun Wen 001; Miao Lu; Ying Bi; Lang Xia; Jing Sun; Yun Shi; Yanbing Wei; Wenbin Wu (Comput. Electron. Agric., 2025)

Spatial variability of soil salinity in coastal saline-alkali farmlands: A novel approach integrating a stacked model with the reconstructed in-situ hyperspectral feature. - Dexi Zhan; Yunting Liu; Weihao Yang; Miao Lu; Yingqiang Song (Comput. Electron. Agric., 2025)

Evaluating Sustainable Development in the Middle and Lower Reaches of the Yellow River Basin Using Multiple Data Sources. - Yuefeng Lu; Jing Li; Zhenqi Song; Miao Lu (IEEE Trans. Geosci. Remote. Sens., 2025)

Research on Desertification Monitoring and Vegetation Refinement Extraction Methods Based on the Synergy of Multisource Remote Sensing Imagery. - Zhenqi Song; Yuefeng Lu; Jinhui Yuan; Miao Lu; Yong Qin; Dengkuo Sun; Ziqi Ding (IEEE Trans. Geosci. Remote. Sens., 2025)

Learning an Optimal Assortment Policy under Observational Data. - Yuxuan Han; Han Zhong 001; Miao Lu; Jose H. Blanchet; Zhengyuan Zhou (CoRR, 2025)

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression. - Xingwu Chen; Miao Lu; Beining Wu; Difan Zou (CoRR, 2025)

Real-Time Nitrogen Regulation via IoT Edge Computing: A Chlorophyll Fluorescence-Driven Framework for Sustainable Plant Factories. - Zhangtong Sun; Yongxia Yang; Miao Lu; Hui-Min Li; Jie-Xiao Peng; Shijie Tian; Jin Hu; Pan Gao (IEEE Internet Things J., 2025)