Remote Sensing and GIS for Identifying and Monitoring the Environmental Factors Associated with Vector-borne Disease: An Overview. - Wenhua Zeng; Xia Cui; Xiangnan Liu; Haishan Cui; Ping Wang (IGARSS, 2006)

A Structural Adapting Self-organizing Maps Neural Network. - Xinzheng Xu; Wenhua Zeng; Zuopeng Zhao (ISNN (2), 2007)

Image segmentation of MRI based on improved anttree clustering algorithm. - Chenling Li; Wenhua Zeng; Jiahe Zhuang (ISKE, 2008)

Research on performance measures of multi-objective optimization evolutionary algorithms. - Lili Zhang; Wenhua Zeng (ISKE, 2008)

The Embedded Product Testing Using Cleanroom Statistical Method. - Fan Lin; Wenhua Zeng; Guowu Chen; Yi Jiang (CSIE (7), 2009)

A framework of distributed dynamic multi-radio multi-channel multi-path routing protocol in Wireless Mesh Networks. - Xiaofei Wang 001; Wei Cai 002; Ye Yan; Taekyoung Kwon 001; Yanghee Choi; Wenhua Zeng (ICOIN, 2009)

A Cloud Tracing and Filtering Framework for Defensing Against Denial of Service Attacks. - Fan Lin; Wenhua Zeng; Yi Jiang (J. Digit. Content Technol. its Appl., 2010)

Multi-objective optimization model of virtual resources scheduling under cloud computing and it's solution. - Jianfeng Zhao 003; Wenhua Zeng; Min Liu; Guangming Li (CDC, 2011)

A reusable agent design pattern with flexibility and extensibility. - Hao Lan Zhang 001; Wenhua Zeng; Christian Van der Velden (Comput. Sci. Inf. Syst., 2011)

Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving. - Fan Lin; Wenhua Zeng; Jianbing Xiahou; Yi Jiang (J. Softw., 2011)

Analysis and Design of Electronic Map Based on RFID and Google Maps. - Zhuangliang Wu; Wenhua Zeng; Lvqing Yang; Yue Li; Meihong Wang (DASC, 2013)

Surveillance Video Retrieval Based on Moving Objects Detection. - Xuan Huang; Fernando Croquer; Wenhua Zeng (J. Multim., 2013)

Applications of artificial intelligence technologies in credit scoring: A survey of literature. - Bili Chen; Wenhua Zeng; Yangbin Lin (ICNC, 2014)

An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems. - Bili Chen; Wenhua Zeng; Yangbin Lin; Qi Zhong (J. Appl. Math., 2014)

Adaptive Genetic Algorithm for Sensor Coarse Signal Processing. - Xuan Huang; Wenhua Zeng (J. Multim., 2014)

Modified differential evolution algorithm using a new diversity maintenance strategy for multi-objective optimization problems. - Bili Chen; Yangbin Lin; Wenhua Zeng; Defu Zhang; Yain-Whar Si (Appl. Intell., 2015)

Research of an improved RFID indoor localisation algorithm based on virtual reference tag and error correction mechanism. - Lvqing Yang; Hang Xu; Wenhua Zeng (Int. J. Radio Freq. Identif. Technol. Appl., 2015)

A New Local Search-Based Multiobjective Optimization Algorithm. - Bili Chen; Wenhua Zeng; Yangbin Lin; Defu Zhang (IEEE Trans. Evol. Comput., 2015)

Sparse Online Learning for Collaborative Filtering. - Fan Lin; Xiuze Zhou; Wenhua Zeng (Int. J. Comput. Commun. Control, 2016)

动态进化多目标优化中的串式记忆方法 (Bunchy Memory Method for Dynamic Evolutionary Multi-objective Optimization). - Min Liu; Wenhua Zeng; Yuzhen Liu (计算机科学, 2016)

The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm. - Bili Chen; Yangbin Lin; Wenhua Zeng; Hang Xu; Defu Zhang (Appl. Intell., 2017)

A MOEA/D-based multi-objective optimization algorithm for remote medical. - Shufu Lin; Fan Lin; Haishan Chen; Wenhua Zeng (Neurocomputing, 2017)

A model for fine-grained vehicle classification based on deep learning. - Shaoyong Yu; Yun Wu; Wei Li 069; Zhijun Song; Wenhua Zeng (Neurocomputing, 2017)

Cloud computing system risk estimation and service selection approach based on cloud focus theory. - Fan Lin; Wenhua Zeng; Lvqing Yang; Yue Wang; Shufu Lin; Jiasong Zeng (Neural Comput. Appl., 2017)

Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data. - Fan Lin; Jiasong Zeng; Jianbing Xiahou; Beizhan Wang; Wenhua Zeng; Haibin Lv (IEEE Trans. Ind. Informatics, 2017)

Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model. - Jianbing Xiahou; Fan Lin; Qihua Huang; Wenhua Zeng (Neural Comput. Appl., 2018)

Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering. - Kangkang Li 001; Xiuze Zhou; Fan Lin; Wenhua Zeng; Gil Alterovitz (IEEE Access, 2019)

Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-Order Proximity Network Embedding. - Xiujin Wu; Wenhua Zeng; Yuxiu Xu; Beizhan Wang; Xiangrong Liu; Fan Lin; Gil Alterovitz (IEEE Access, 2019)

Sparse online collaborative filtering with dynamic regularization. - Kangkang Li 001; Xiuze Zhou; Fan Lin; Wenhua Zeng; Beizhan Wang; Gil Alterovitz (Inf. Sci., 2019)

An Evolutionary Algorithm Based on Minkowski Distance for Many-Objective Optimization. - Hang Xu 003; Wenhua Zeng; Xiangxiang Zeng; Gary G. Yen (IEEE Trans. Cybern., 2019)

MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition. - Hang Xu 003; Wenhua Zeng; Defu Zhang; Xiangxiang Zeng (IEEE Trans. Cybern., 2019)

Shortest Path Distance Prediction Based on CatBoost. - Liying Jiang; Yongxuan Lai; Quan Chen; Wenhua Zeng; Fan Yang 010; Yi Fan (WISA, 2021)

Efficient Estimation of Time-Dependent Shortest Paths Based on Shortcuts. - Linbo Liao; Shipeng Yang; Yongxuan Lai; Wenhua Zeng; Fan Yang 010; Min Jiang 005 (ICA3PP (2), 2021)

Dynamic Transit Flow Graph Prediction in Spatial-Temporal Network. - Liying Jiang; Yongxuan Lai; Quan Chen; Wenhua Zeng; Fan Yang 010; Yi Fan; Qisheng Liao (WISE (1), 2021)

NeuRank: learning to rank with neural networks for drug-target interaction prediction. - Xiujin Wu; Wenhua Zeng; Fan Lin; Xiuze Zhou (BMC Bioinform., 2021)

A Survey on Reinforcement Learning for Recommender Systems. - Yuanguo Lin; Yong Liu 020; Fan Lin; Pengcheng Wu; Wenhua Zeng; Chunyan Miao (CoRR, 2021)

Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks. - Jungang Zou; Fan Lin; Beizhan Wang; Siyu Gao; Gaoshan Deng; Wenhua Zeng; Gil Alterovitz (CoRR, 2021)

Adaptive course recommendation in MOOCs. - Yuanguo Lin; Shibo Feng; Fan Lin; Wenhua Zeng; Yong Liu 020; Pengcheng Wu (Knowl. Based Syst., 2021)

A Polar-Metric-Based Evolutionary Algorithm. - Hang Xu 003; Wenhua Zeng; Xiangxiang Zeng; Gary G. Yen (IEEE Trans. Cybern., 2021)

Context-aware reinforcement learning for course recommendation. - Yuanguo Lin; Fan Lin; Lvqing Yang; Wenhua Zeng; Yong Liu 020; Pengcheng Wu (Appl. Soft Comput., 2022)

GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction. - Xiujin Wu; Wenhua Zeng; Fan Lin (BMC Bioinform., 2022)

A novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization for short-term load forecasting during the COVID-19 pandemic. - Shuai Zhang 002; Qian Chen 034; Wenhua Zeng; Shanshan Guo; Jiyuan Xu (J. Intell. Fuzzy Syst., 2022)

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. - Yuanguo Lin; Fan Lin; Wenhua Zeng; Jianbing Xiahou; Li Li; Pengcheng Wu; Yong Liu 020; Chunyan Miao (Knowl. Based Syst., 2022)

Online computation offloading with double reinforcement learning algorithm in mobile edge computing. - Linbo Liao; Yongxuan Lai; Fan Yang 010; Wenhua Zeng (J. Parallel Distributed Comput., 2023)

Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs. - Yuanguo Lin; Shibo Feng; Fan Lin; Jianbing Xiahou; Wenhua Zeng (Appl. Soft Comput., 2023)

Bayesian Personalized Sorting Based on Time Factors and Hot Recommendations. - Wenhua Zeng; Junjie Liu; Bo Zhang (IIP (1), 2024)

Hierarchical representation learning for next basket recommendation. - Wenhua Zeng; Junjie Liu; Bo Zhang (Array, 2024)

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. - Yuanguo Lin; Wei Zhang 252; Fan Lin; Wenhua Zeng; Xiuze Zhou; Pengcheng Wu (Neural Comput. Appl., 2024)

A Survey on Reinforcement Learning for Recommender Systems. - Yuanguo Lin; Yong Liu 020; Fan Lin; Lixin Zou; Pengcheng Wu; Wenhua Zeng; Huanhuan Chen; Chunyan Miao (IEEE Trans. Neural Networks Learn. Syst., 2024)