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Choujun Zhan
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2020 – today
- 2024
- [j40]Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao:
BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities. Neural Comput. Appl. 36(13): 7119-7131 (2024) - [j39]Guanhua Chen
, Qiqi Xu, Choujun Zhan
, Fu Lee Wang
, Kai Liu, Hai Liu
, Tianyong Hao
:
Improving Open Intent Detection via Triplet-Contrastive Learning and Adaptive Boundary. IEEE Trans. Consumer Electron. 70(1): 2806-2816 (2024) - 2023
- [j38]Jiao Liu, Mingquan Lin
, Mingbo Zhao, Choujun Zhan, Bing Li, John Kwok Tai Chui
:
Person re-identification via semi-supervised adaptive graph embedding. Appl. Intell. 53(3): 2656-2672 (2023) - [j37]Bing Li, Choujun Zhan:
Distributed Diagnoses Based on Constructing a Private Chain via a Public Network. Entropy 25(9): 1305 (2023) - [j36]Choujun Zhan, Yonglin Liu, Zeqiong Wu, Mingbo Zhao
, Tommy W. S. Chow
:
A hybrid machine learning framework for forecasting house price. Expert Syst. Appl. 233: 120981 (2023) - [j35]Choujun Zhan
, Yufan Zheng
, Lujiao Shao, Guanrong Chen
, Haijun Zhang:
Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework. Inf. Sci. 628: 469-487 (2023) - [j34]Ying Gao, Haolang Xiao
, Choujun Zhan, Lingrui Liang, Wentian Cai
, Xiping Hu
:
CATE: Contrastive augmentation and tree-enhanced embedding for credit scoring. Inf. Sci. 651: 119447 (2023) - [j33]Xincao Xu
, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach. J. Syst. Archit. 134: 102780 (2023) - [j32]Choujun Zhan, Wei Jiang, Hu Min
, Ying Gao, C. K. Tse:
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age. Neural Comput. Appl. 35(9): 6457-6470 (2023) - [j31]Hualing Ren, Kai Liu
, Guozhi Yan, Yantao Li
, Choujun Zhan
, Songtao Guo
:
A Memetic Algorithm for Cooperative Complex Task Offloading in Heterogeneous Vehicular Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 189-204 (2023) - [c37]Kaihan Wu, Junhui Lu, Fabing Lin, Yao Huang, Choujun Zhan, Lulu Sun:
A realistic network traffic forecasting method based on VMD and LSTM network. ISCAS 2023: 1-5 - [c36]Lulu Sun, Zhouming Liu, Peilin Yang, Choujun Zhan, Kim-Fung Tsang:
Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting. NCAA (1) 2023: 175-190 - [c35]Guanhua Chen, Qiqi Xu, Choujun Zhan, Fu Lee Wang, Kuanyan Zhu, Hai Liu, Tianyong Hao:
A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection. NCAA (2) 2023: 229-244 - [c34]Zhengyang Hou, Jingeng Fang, Yao Huang, Lulu Sun, Choujun Zhan, Kim-Fung Tsang:
A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation. NCAA (2) 2023: 359-374 - [c33]Hanshi Yang, Xin Zhang, Liang Feng, Zhou Wu, Choujun Zhan:
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem. NCAA (1) 2023: 442-454 - 2022
- [j30]Yijing Guo
, Yixin Zeng
, Fengqiang Gao
, Yi Qiu
, Xuqiang Zhou
, Linwei Zhong
, Choujun Zhan
:
Improved YOLOV4-CSP Algorithm for Detection of Bamboo Surface Sliver Defects With Extreme Aspect Ratio. IEEE Access 10: 29810-29820 (2022) - [j29]Choujun Zhan, Lujiao Shao, Xinyu Zhang, Ziliang Yin, Ying Gao, Chi K. Tse, Dong Yang, Di Wu, Haijun Zhang:
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. Inf. Sci. 607: 418-439 (2022) - [j28]Likeng Liang, Tianyong Hao, Choujun Zhan, Hong Qiu, Fu Lee Wang, Jun Yan, Heng Weng
, Yingying Qu:
Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention. Neural Comput. Appl. 34(19): 16311-16324 (2022) - [j27]Choujun Zhan, Wei Jiang, Fabing Lin, Shuntao Zhang, Bing Li:
A decomposition-ensemble broad learning system for AQI forecasting. Neural Comput. Appl. 34(21): 18461-18472 (2022) - [j26]Guanzhi Li, Aining Zhang, Qizhi Zhang, Di Wu
, Choujun Zhan
:
Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2413-2417 (2022) - [j25]Zhenhua Huang
, Yajun Liu, Choujun Zhan, Chen Lin, Weiwei Cai
, Yunwen Chen:
A Novel Group Recommendation Model With Two-Stage Deep Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5853-5864 (2022) - [c32]Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu:
FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. ICDM 2022: 508-517 - [c31]Yuyu Luo, Zhenjie Huang, Leung-Pun Wong, Choujun Zhan, Fu Lee Wang, Tianyong Hao:
An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries. NCAA (1) 2022: 115-128 - [c30]Yonglin Liu, Zeqiong Wu, Choujun Zhan, Hu Min:
Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong. NCAA (2) 2022: 359-371 - [c29]Hu Min, Kaihan Wu, Minghao Tan, Junyan Lin, Yufan Zheng
, Choujun Zhan:
Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects. NCAA (2) 2022: 372-386 - [c28]Lulu Sun, Zhouming Liu, Choujun Zhan, Hu Min:
COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network. PRICAI (1) 2022: 175-187 - [c27]Zhen Luo, Lei Zhao
, Hongqing Liu, Choujun Zhan:
Robust Hybrid Beamforming Designs for Multi-user MmWave Relay Systems. WCNC 2022: 1551-1556 - [i1]Xincao Xu, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach. CoRR abs/2209.12749 (2022) - 2021
- [j24]Choujun Zhan
, Yufan Zheng
, Haijun Zhang
, Quansi Wen
:
Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic. IEEE Internet Things J. 8(21): 15906-15918 (2021) - [j23]Choujun Zhan, Jiaqi Chen, Haijun Zhang:
An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease. Inf. Sci. 561: 211-229 (2021) - [j22]Choujun Zhan, Yufan Zheng
, Zhikang Lai, Tianyong Hao, Bing Li:
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers. Neural Comput. Appl. 33(10): 4915-4928 (2021) - [j21]Kairong Hu, Hai Liu, Choujun Zhan, Yong Tang, Tianyong Hao
:
Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network. Neural Comput. Appl. 33(17): 11157-11173 (2021) - [j20]Zhao Zhang
, Zemin Tang, Yang Wang, Zheng Zhang, Choujun Zhan
, Zhengjun Zha, Meng Wang:
Dense Residual Network: Enhancing global dense feature flow for character recognition. Neural Networks 139: 77-85 (2021) - [j19]Guo Luo, Zhi Yang
, Choujun Zhan, Qizhi Zhang:
Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks. Neural Process. Lett. 53(1): 355-374 (2021) - [j18]Huiru Cao, Xiaomin Li
, Songyao Lian, Choujun Zhan:
A Hotspot Information Extraction Hybrid Solution of Online Posts' Textual Data. Sci. Program. 2021: 6619712:1-6619712:11 (2021) - [j17]Choujun Zhan
, Chi K. Tse
, Ying Gao
, Tianyong Hao
:
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. IEEE J. Biomed. Health Informatics 25(8): 2836-2847 (2021) - [c26]Shuangyan Wu, Haoran Hu, Yufan Zheng
, Qiaoling Zhen, Shuntao Zhang, Choujun Zhan:
The Impact of COVID-19 on Online Games: Machine Learning and Difference-in-Difference. ChineseCSCW (2) 2021: 458-470 - [c25]Yufan Zheng
, Qiaoling Zhen, Minghao Tan, Haoran Hu, Choujun Zhan:
COVID-19's Impact on the Box office: Machine Learning and Difference-in-Difference. ISKE 2021: 458-463 - [c24]Jianbin Li, Yufan Zheng
, Haoran Hu, Junhui Lu, Choujun Zhan:
Predicting Video Game Sales Based on Machine Learning and Hybrid Feature Selection Method. ISKE 2021: 497-502 - [c23]Junyan Lin, Minghao Tan, Yufan Zheng
, Kaihan Wu, Choujun Zhan:
Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic. ISKE 2021: 697-702 - [c22]Choujun Zhan, Wei Jiang, Qiaoling Zhen, Haoran Hu, Wei Yuan:
Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration. NCAA 2021: 717-727 - [c21]Wei Jiang, Yuxia Fu, Fabing Lin, Jing Liu, Choujun Zhan:
Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting. NCAA 2021: 757-769 - 2020
- [j16]Choujun Zhan
, Bing Li, Xiaoting Zhong, Hu Min, Zhengdong Wu:
A model for collective behaviour propagation: a case study of video game industry. Neural Comput. Appl. 32(9): 4507-4517 (2020) - [j15]Choujun Zhan, Fujian Wu, Zhenhua Huang, Wei Jiang, Qizhi Zhang:
Analysis of collective action propagation with multiple recurrences. Neural Comput. Appl. 32(17): 13491-13504 (2020) - [j14]Quansi Wen
, Choujun Zhan
, Ying Gao
, Xiping Hu
, Edith C. H. Ngai, Bin Hu
:
Modeling Human Activity With Seasonality Bursty Dynamics. IEEE Trans. Ind. Informatics 16(2): 1130-1139 (2020) - [c20]Choujun Zhan, Songyan Li, Jianbin Li, Yijing Guo, Quansi Wen, WeiSheng Wen:
Prediction of Air Quality in Major Cities of China by Deep Learning. CIS 2020: 68-72 - [c19]Yijing Guo, Xuqiang Zhou, Choujun Zhan, Yixin Zeng, Linwei Zhong:
Prediction and Analysis of Success on Crowdfunding Projects. EITCE 2020: 785-789 - [c18]Choujun Zhan, Zhengdong Wu, Quansi Wen, Ying Gao, Haijun Zhang:
Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries. HealthCom 2020: 1-6 - [c17]Choujun Zhan, Zeqiong Wu, Yonglin Liu, Zefeng Xie, Wangling Chen:
Housing prices prediction with deep learning: an application for the real estate market in Taiwan. INDIN 2020: 719-724 - [c16]Wei Jiang, Songyan Li, Zefeng Xie, Wanling Chen, Choujun Zhan:
Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network. INDIN 2020: 729-733 - [c15]Kairong Hu, Hai Liu, Choujun Zhan, Yong Tang, Tianyong Hao:
A Bi-directional Relation Aware Network for Link Prediction in Knowledge Graph. NCAA 2020: 259-271
2010 – 2019
- 2019
- [j13]Bi Mei, Xuguang Wang, Quansi Wen
, Yong Tang, Hao Wang
, Choujun Zhan:
A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing. IEEE Access 7: 81419-81428 (2019) - [j12]Choujun Zhan, Chi K. Tse
:
A Model for Growth of Markets of Products or Services Having Hierarchical Dependence. IEEE Trans. Netw. Sci. Eng. 6(3): 198-209 (2019) - [c14]Choujun Zhan, Benjamin Yee Shing Li, Quansi Wen, Ying Gao, Tianyong Hao:
Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening. BIBM 2019: 1149-1155 - [c13]Choujun Zhan, Xiaoting Zhong, Qizhi Zhang, Mingbo Zhao, Yu Wang:
Modelling for Dynamic Growth of User Population of Products and Services. INDIN 2019: 1478-1482 - [c12]Choujun Zhan, Fujian Wu, Zhengdong Wu, Chi K. Tse
:
Daily Rainfall Data Construction and Application to Weather Prediction. ISCAS 2019: 1-5 - [c11]Zhengdong Wu, Fujian Wu, Jin Chai, Choujun Zhan, Zhiwen Yu:
Prediction of Daily Precipitation Based on Deep Learning and Broad Learning Techniques. ISKE 2019: 513-519 - [c10]Jin Chai, Wei Jiang, Yuxia Fu, Choujun Zhan, Zhiwen Yu:
A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years. ISKE 2019: 1234-1240 - 2018
- [j11]Zhen Luo
, Choujun Zhan, Lin Zhang, Rongbin Zhang
:
Robust Hybrid Beamforming in Millimeter Wave Relay Networks With Imperfect CSI. IEEE Access 6: 73093-73101 (2018) - [j10]Junying Yuan, Huiru Cao, Choujun Zhan, Lin Wang:
A method of determining maximum transmission rate in wireless sensor network. Int. J. Auton. Adapt. Commun. Syst. 11(1): 39-53 (2018) - [j9]Huiru Cao
, Choujun Zhan:
A Novel Emergency Healthcare System for Elderly Community in Outdoor Environment. Wirel. Commun. Mob. Comput. 2018: 7841026:1-7841026:11 (2018) - [c9]Xiaotian Ma, Mingbo Zhao, Zhao Zhang, Jicong Fan, Choujun Zhan:
Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. PRICAI 2018: 10-18 - 2017
- [j8]Choujun Zhan, Chi K. Tse
:
A network model for growth of publications and citations. J. Complex Networks 5(2): 303-314 (2017) - [j7]Xi Zhang
, Choujun Zhan, Chi K. Tse
:
Modeling the Dynamics of Cascading Failures in Power Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 7(2): 192-204 (2017) - [j6]Xi Zhang
, Dong Liu, Choujun Zhan, Chi K. Tse
:
Effects of Cyber Coupling on Cascading Failures in Power Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 7(2): 228-238 (2017) - [c8]Mingbo Zhao, Wenlong Cheng, Zhao Zhang, Choujun Zhan:
Subspace Clustering via Adaptive Low-Rank Model. ICONIP (6) 2017: 462-470 - [c7]Choujun Zhan, Weiwen Cao, Junyu Fan, Chengda Wu, Zhi Yang, Mingbo Zhao:
Detrended fluctuation analysis of daily rainfall records of the entire China. INDIN 2017: 1013-1018 - [c6]Mingbo Zhao, Zhao Zhang, Choujun Zhan, Wei Wang:
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning. INDIN 2017: 1019-1024 - [c5]Dong Liu, Xi Zhang, Choujun Zhan, Chi K. Tse
:
Modeling of cascading failures in cyber-coupled power systems. ISCAS 2017: 1-4 - [c4]Xi Zhang, Choujun Zhan, Chi K. Tse
:
Modeling cascading failure propagation in power systems. ISCAS 2017: 1-4 - 2016
- [j5]Choujun Zhan, Chi K. Tse
:
A universal model for growth of user population of products and services. Netw. Sci. 4(4): 491-507 (2016) - 2015
- [j4]Ming-Bo Zhao, Bing Li, Zhou Wu
, Choujun Zhan:
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. Neurocomputing 153: 96-107 (2015) - [j3]Ming-Bo Zhao, Choujun Zhan, Zhou Wu
, Peng Tang:
Semi-Supervised Image Classification Based on Local and Global Regression. IEEE Signal Process. Lett. 22(10): 1666-1670 (2015) - 2014
- [j2]Choujun Zhan, Wuchao Situ, Lam Fat Yeung, Peter Wai-Ming Tsang, Genke Yang:
A Parameter Estimation Method for Biological Systems modelled by ODE/DDE Models Using Spline Approximation and Differential Evolution Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1066-1076 (2014) - [c3]Choujun Zhan, Benjamin Yee Shing Li, Lam Fat Yeung
:
On structural identifiability of S-system. BIBM 2014: 48-54 - 2013
- [c2]Benjamin Yee Shing Li, Lam Fat Yeung
, Choujun Zhan, Genke Yang:
Characterisation of protein-protein interaction network base on ℓ1-norm optimisation. BIBM 2013: 509-512 - 2011
- [j1]Choujun Zhan, Lam Fat Yeung
:
Parameter estimation in systems biology models using spline approximation. BMC Syst. Biol. 5: 14 (2011) - 2010
- [c1]Choujun Zhan, Lam Fat Yeung
:
A parameter estimation approach for non-linear systems biology models using spline approximation. BCB 2010: 86-91
Coauthor Index
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last updated on 2024-08-16 18:29 CEST by the dblp team
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