A parameter estimation approach for non-linear systems biology models using spline approximation. - Choujun Zhan; Lam Fat Yeung (BCB, 2010)

Parameter estimation in systems biology models using spline approximation. - Choujun Zhan; Lam Fat Yeung (BMC Syst. Biol., 2011)

Characterisation of protein-protein interaction network base on ℓ1-norm optimisation. - Benjamin Yee Shing Li; Lam Fat Yeung; Choujun Zhan; Genke Yang (BIBM, 2013)

On structural identifiability of S-system. - Choujun Zhan; Benjamin Yee Shing Li; Lam Fat Yeung (BIBM, 2014)

A Parameter Estimation Method for Biological Systems modelled by ODE/DDE Models Using Spline Approximation and Differential Evolution Algorithm. - Choujun Zhan; Wuchao Situ; Lam Fat Yeung; Peter Wai-Ming Tsang; Genke Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. - Ming-Bo Zhao; Bing Li 007; Zhou Wu 001; Choujun Zhan (Neurocomputing, 2015)

Semi-Supervised Image Classification Based on Local and Global Regression. - Ming-Bo Zhao; Choujun Zhan; Zhou Wu 001; Peng Tang (IEEE Signal Process. Lett., 2015)

A universal model for growth of user population of products and services. - Choujun Zhan; Chi K. Tse (Netw. Sci., 2016)

Subspace Clustering via Adaptive Low-Rank Model. - Mingbo Zhao; Wenlong Cheng; Zhao Zhang 001; Choujun Zhan (ICONIP (6), 2017)

Detrended fluctuation analysis of daily rainfall records of the entire China. - Choujun Zhan; Weiwen Cao; Junyu Fan; Chengda Wu; Zhi Yang; Mingbo Zhao (INDIN, 2017)

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning. - Mingbo Zhao; Zhao Zhang 001; Choujun Zhan; Wei Wang (INDIN, 2017)

Modeling of cascading failures in cyber-coupled power systems. - Dong Liu 012; Xi Zhang 007; Choujun Zhan; Chi K. Tse (ISCAS, 2017)

Modeling cascading failure propagation in power systems. - Xi Zhang 007; Choujun Zhan; Chi K. Tse (ISCAS, 2017)

A network model for growth of publications and citations. - Choujun Zhan; Chi K. Tse (J. Complex Networks, 2017)

Effects of Cyber Coupling on Cascading Failures in Power Systems. - Xi Zhang 007; Dong Liu 012; Choujun Zhan; Chi K. Tse (IEEE J. Emerg. Sel. Topics Circuits Syst., 2017)

Modeling the Dynamics of Cascading Failures in Power Systems. - Xi Zhang 007; Choujun Zhan; Chi K. Tse (IEEE J. Emerg. Sel. Topics Circuits Syst., 2017)

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. - Xiaotian Ma; Mingbo Zhao; Zhao Zhang 001; Jicong Fan 001; Choujun Zhan (PRICAI, 2018)

Robust Hybrid Beamforming in Millimeter Wave Relay Networks With Imperfect CSI. - Zhen Luo; Choujun Zhan; Lin Zhang 025; Rongbin Zhang (IEEE Access, 2018)

A method of determining maximum transmission rate in wireless sensor network. - Junying Yuan; Huiru Cao; Choujun Zhan; Lin Wang (Int. J. Auton. Adapt. Commun. Syst., 2018)

A Novel Emergency Healthcare System for Elderly Community in Outdoor Environment. - Huiru Cao; Choujun Zhan (Wirel. Commun. Mob. Comput., 2018)

Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening. - Choujun Zhan; Benjamin Yee Shing Li; Quansi Wen; Ying Gao 004; Tianyong Hao (BIBM, 2019)

Modelling for Dynamic Growth of User Population of Products and Services. - Choujun Zhan; Xiaoting Zhong; Qizhi Zhang; Mingbo Zhao; Yu Wang (INDIN, 2019)

Daily Rainfall Data Construction and Application to Weather Prediction. - Choujun Zhan; Fujian Wu; Zhengdong Wu; Chi K. Tse (ISCAS, 2019)

A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years. - Jin Chai; Wei Jiang 006; Yuxia Fu; Choujun Zhan; Zhiwen Yu 002 (ISKE, 2019)

Prediction of Daily Precipitation Based on Deep Learning and Broad Learning Techniques. - Zhengdong Wu; Fujian Wu; Jin Chai; Choujun Zhan; Zhiwen Yu 002 (ISKE, 2019)

A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing. - Bi Mei; Xuguang Wang; Quansi Wen; Yong Tang 001; Hao Wang 003; Choujun Zhan (IEEE Access, 2019)

A Model for Growth of Markets of Products or Services Having Hierarchical Dependence. - Choujun Zhan; Chi K. Tse (IEEE Trans. Netw. Sci. Eng., 2019)

Prediction of Air Quality in Major Cities of China by Deep Learning. - Choujun Zhan; Songyan Li; Jianbin Li; Yijing Guo; Quansi Wen; WeiSheng Wen (CIS, 2020)

Prediction and Analysis of Success on Crowdfunding Projects. - Yijing Guo; Xuqiang Zhou; Choujun Zhan; Yixin Zeng 002; Linwei Zhong (EITCE, 2020)

Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries. - Choujun Zhan; Zhengdong Wu; Quansi Wen; Ying Gao 004; Haijun Zhang 002 (HealthCom, 2020)

Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network. - Wei Jiang 006; Songyan Li; Zefeng Xie; Wanling Chen; Choujun Zhan (INDIN, 2020)

Housing prices prediction with deep learning: an application for the real estate market in Taiwan. - Choujun Zhan; Zeqiong Wu; Yonglin Liu; Zefeng Xie; Wangling Chen (INDIN, 2020)

A Bi-directional Relation Aware Network for Link Prediction in Knowledge Graph. - Kairong Hu; Hai Liu 006; Choujun Zhan; Yong Tang 001; Tianyong Hao (NCAA, 2020)

A model for collective behaviour propagation: a case study of video game industry. - Choujun Zhan; Bing Li 007; Xiaoting Zhong; Hu Min; Zhengdong Wu (Neural Comput. Appl., 2020)

Analysis of collective action propagation with multiple recurrences. - Choujun Zhan; Fujian Wu; Zhenhua Huang 001; Wei Jiang 006; Qizhi Zhang (Neural Comput. Appl., 2020)

Modeling Human Activity With Seasonality Bursty Dynamics. - Quansi Wen; Choujun Zhan; Ying Gao 004; Xiping Hu; Edith C. H. Ngai; Bin Hu 001 (IEEE Trans. Ind. Informatics, 2020)

The Impact of COVID-19 on Online Games: Machine Learning and Difference-in-Difference. - Shuangyan Wu; Haoran Hu; Yufan Zheng; Qiaoling Zhen; Shuntao Zhang; Choujun Zhan (ChineseCSCW (2), 2021)

Predicting Video Game Sales Based on Machine Learning and Hybrid Feature Selection Method. - Jianbin Li; Yufan Zheng; Haoran Hu; Junhui Lu; Choujun Zhan (ISKE, 2021)

Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic. - Junyan Lin; Minghao Tan; Yufan Zheng; Kaihan Wu; Choujun Zhan (ISKE, 2021)

COVID-19's Impact on the Box office: Machine Learning and Difference-in-Difference. - Yufan Zheng; Qiaoling Zhen; Minghao Tan; Haoran Hu; Choujun Zhan (ISKE, 2021)

Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting. - Wei Jiang 006; Yuxia Fu; Fabing Lin; Jing Liu; Choujun Zhan (NCAA, 2021)

Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration. - Choujun Zhan; Wei Jiang 006; Qiaoling Zhen; Haoran Hu; Wei Yuan (NCAA, 2021)

Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic. - Choujun Zhan; Yufan Zheng; Haijun Zhang 002; Quansi Wen (IEEE Internet Things J., 2021)

An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease. - Choujun Zhan; Jiaqi Chen; Haijun Zhang 002 (Inf. Sci., 2021)

Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network. - Kairong Hu; Hai Liu 006; Choujun Zhan; Yong Tang 001; Tianyong Hao (Neural Comput. Appl., 2021)

Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers. - Choujun Zhan; Yufan Zheng; Zhikang Lai; Tianyong Hao; Bing Li 007 (Neural Comput. Appl., 2021)

Dense Residual Network: Enhancing global dense feature flow for character recognition. - Zhao Zhang 001; Zemin Tang; Yang Wang 023; Zheng Zhang 006; Choujun Zhan; Zhengjun Zha; Meng Wang 001 (Neural Networks, 2021)

Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks. - Guo Luo; Zhi Yang; Choujun Zhan; Qizhi Zhang (Neural Process. Lett., 2021)

A Hotspot Information Extraction Hybrid Solution of Online Posts' Textual Data. - Huiru Cao; Xiaomin Li; Songyao Lian; Choujun Zhan (Sci. Program., 2021)

Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases. - Choujun Zhan; Chi K. Tse; Ying Gao 004; Tianyong Hao (IEEE J. Biomed. Health Informatics, 2021)

FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. - Bo Wang 072; Zhao Zhang 001; Jicong Fan 001; Mingbo Zhao; Choujun Zhan; Mingliang Xu 001 (ICDM, 2022)

Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong. - Yonglin Liu; Zeqiong Wu; Choujun Zhan; Hu Min (NCAA (2), 2022)

An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries. - Yuyu Luo; Zhenjie Huang; Leung-Pun Wong; Choujun Zhan; Fu Lee Wang; Tianyong Hao (NCAA (1), 2022)

Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects. - Hu Min; Kaihan Wu; Minghao Tan; Junyan Lin; Yufan Zheng; Choujun Zhan (NCAA (2), 2022)

COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network. - Lulu Sun; Zhouming Liu; Choujun Zhan; Hu Min (PRICAI (1), 2022)

Robust Hybrid Beamforming Designs for Multi-user MmWave Relay Systems. - Zhen Luo; Lei Zhao; Hongqing Liu; Choujun Zhan (WCNC, 2022)

Improved YOLOV4-CSP Algorithm for Detection of Bamboo Surface Sliver Defects With Extreme Aspect Ratio. - Yijing Guo; Yixin Zeng 002; Fengqiang Gao; Yi Qiu; Xuqiang Zhou; Linwei Zhong; Choujun Zhan (IEEE Access, 2022)

Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model. - Choujun Zhan; Lujiao Shao; Xinyu Zhang; Ziliang Yin; Ying Gao 004; Chi K. Tse; Dong Yang; Di Wu 035; Haijun Zhang 002 (Inf. Sci., 2022)

Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention. - Likeng Liang; Tianyong Hao; Choujun Zhan; Hong Qiu; Fu Lee Wang; Jun Yan 010; Heng Weng; Yingying Qu (Neural Comput. Appl., 2022)

A decomposition-ensemble broad learning system for AQI forecasting. - Choujun Zhan; Wei Jiang 006; Fabing Lin; Shuntao Zhang; Bing Li 007 (Neural Comput. Appl., 2022)

Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction. - Guanzhi Li; Aining Zhang; Qizhi Zhang; Di Wu 035; Choujun Zhan (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Novel Group Recommendation Model With Two-Stage Deep Learning. - Zhenhua Huang 001; Yajun Liu; Choujun Zhan; Chen Lin 001; Weiwei Cai; Yunwen Chen (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A realistic network traffic forecasting method based on VMD and LSTM network. - Kaihan Wu; Junhui Lu; Fabing Lin; Yao Huang; Choujun Zhan; Lulu Sun (ISCAS, 2023)

A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection. - Guanhua Chen 008; Qiqi Xu; Choujun Zhan; Fu Lee Wang; Kuanyan Zhu; Hai Liu 006; Tianyong Hao (NCAA (2), 2023)

A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation. - Zhengyang Hou; Jingeng Fang; Yao Huang; Lulu Sun; Choujun Zhan; Kim-Fung Tsang (NCAA (2), 2023)

Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting. - Lulu Sun; Zhouming Liu; Peilin Yang; Choujun Zhan; Kim-Fung Tsang (NCAA (1), 2023)

A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem. - Hanshi Yang; Xin Zhang 042; Liang Feng 001; Zhou Wu 001; Choujun Zhan (NCAA (1), 2023)

Person re-identification via semi-supervised adaptive graph embedding. - Jiao Liu; Mingquan Lin; Mingbo Zhao; Choujun Zhan; Bing Li 007; John Kwok Tai Chui (Appl. Intell., 2023)

Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach. - Xincao Xu; Kai Liu 001; Penglin Dai; Feiyu Jin; Hualing Ren; Choujun Zhan; Songtao Guo (J. Syst. Archit., 2023)

A Memetic Algorithm for Cooperative Complex Task Offloading in Heterogeneous Vehicular Networks. - Hualing Ren; Kai Liu 001; Guozhi Yan; Yantao Li 001; Choujun Zhan; Songtao Guo (IEEE Trans. Netw. Sci. Eng., 2023)

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age. - Choujun Zhan; Wei Jiang 006; Hu Min; Ying Gao 004; C. K. Tse (Neural Comput. Appl., 2023)

Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework. - Choujun Zhan; Yufan Zheng; Lujiao Shao; Guanrong Chen; Haijun Zhang 002 (Inf. Sci., 2023)

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network. - Bing Li 007; Choujun Zhan (Entropy, 2023)

A hybrid machine learning framework for forecasting house price. - Choujun Zhan; Yonglin Liu; Zeqiong Wu; Mingbo Zhao; Tommy W. S. Chow (Expert Syst. Appl., 2023)

CATE: Contrastive augmentation and tree-enhanced embedding for credit scoring. - Ying Gao 004; Haolang Xiao; Choujun Zhan; Lingrui Liang; Wentian Cai; Xiping Hu (Inf. Sci., 2023)

A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics. - Lianghong Lin; Heng Weng; Enliang Yan; Choujun Zhan; Fu Lee Wang; Tianyong Hao (BESC, 2024)

Exploiting Fourier Transform for Multi-scale Electric Load Forecasting. - Niangxi Zhuang; Xiaobing Yang; Peilin Yang; Chaohui Liang; Lulu Sun; Choujun Zhan (NCAA (3), 2024)

MJR: Multi-Head Joint Reasoning on Language Models for Question Answering. - Shunhao Li; Jiale Chen; Enliang Yan; Choujun Zhan; Fu Lee Wang; Tianyong Hao (SMC, 2024)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting. - Yufan Zheng; Wei Jiang 006; Alexander Zhou 001; Nguyen Quoc Viet Hung; Choujun Zhan; Tong Chen 005 (CoRR, 2024)

Improving Open Intent Detection via Triplet-Contrastive Learning and Adaptive Boundary. - Guanhua Chen 008; Qiqi Xu; Choujun Zhan; Fu Lee Wang; Kai Liu 001; Hai Liu 006; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities. - Choujun Zhan; Lingfeng Miao; Junyan Lin; Minghao Tan; Kim Fung Tsang; Tianyong Hao; Hu Min; Xuejiao Zhao (Neural Comput. Appl., 2024)

GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets. - Choujun Zhan; Du Yin; Yingshan Shen; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

Deep Representation-Based Fuzzy Graph Model for Content-Based Image Retrieval. - Jiao Liu; Mingbo Zhao; Choujun Zhan (Int. J. Fuzzy Syst., 2024)

3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image. - Bowen Hu; Choujun Zhan; Buzhou Tang; Bingchuan Wang; Baiying Lei; Shuqiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint. - Hengdong Zhu; Yingshan Shen; Choujun Zhan; Fu Lee Wang; Heng Weng; Tianyong Hao (Knowl. Based Syst., 2025)