Walk to here: a voice driven animation system. - Zhijin Wang; Michiel van de Panne (Symposium on Computer Animation, 2006)

User Identification within a Shared Account: Improving IP-TV Recommender Performance. - Zhijin Wang; Yan Yang 008; Liang He 001; Junzhong Gu (ADBIS, 2014)

An Empirical Study of Personal Factors and Social Effects on Rating Prediction. - Zhijin Wang; Yan Yang 008; Qinmin Hu; Liang He 001 (PAKDD (1), 2015)

Adaptive Temporal Model for IPTV Recommendation. - Yan Yang 008; Qinmin Hu; Liang He 001; Minjie Ni; Zhijin Wang (WAIM, 2015)

Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China). - Yongming Wang; Jian Li; Junzhong Gu; Zili Zhou; Zhijin Wang (Appl. Soft Comput., 2015)

Diarrhoea outpatient visits prediction based on time series decomposition and multi-local predictor fusion. - Yongming Wang; Junzhong Gu; Zili Zhou; Zhijin Wang (Knowl. Based Syst., 2015)

User identification for enhancing IP-TV recommendation. - Zhijin Wang; Liang He 001 (Knowl. Based Syst., 2016)

A Fine-Grained Analysis of Time Reversal MU-MISO Systems Over Correlated Multipath Channels With Imperfect CSI. - Bingyan He; Tao Sun 012; Zhijin Wang; Kai Su (IEEE Access, 2018)

TDDF: HFMD Outpatients Prediction Based on Time Series Decomposition and Heterogenous Data Fusion in Xiamen, China. - Zhijin Wang; Yaohui Huang; Bingyan He; Ting Luo; Yongming Wang; Yingxian Lin (ADMA, 2019)

A location algorithm based on Stiefel manifold particle filtering. - Yao Jun; Zhijin Wang (Clust. Comput., 2019)

Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting. - Xiyang Liu; Jie Yang; Wenrui Ding; Tieqiang Wang; Zhijin Wang; Junjun Xiong (ECCV (24), 2020)

Short-Term Infectious Diarrhea Prediction Using Weather and Search Data in Xiamen, China. - Zhijin Wang; Yaohui Huang; Bingyan He; Ting Luo; Yongming Wang; Yonggang Fu; Chenxi Huang (Sci. Program., 2020)

Stock Turnover Prediction Using Search Engine Data. - Zhijin Wang; Yaohui Huang; Bing Cai; Rui Ma; Zongyue Wang (J. Circuits Syst. Comput., 2021)

Dual-grained representation for hand, foot, and mouth disease prediction within public health cyber-physical systems. - Zhijin Wang; Yaohui Huang; Bingyan He (Softw. Pract. Exp., 2021)

Prediction of HFMD Cases by Leveraging Time Series Decomposition and Local Fusion. - Ziyang Wang; Zhijin Wang; Yingxian Lin; Jinming Liu; Yonggang Fu; Peisong Zhang; Bing Cai (Wirel. Commun. Mob. Comput., 2021)

An Oriented Attention Model for Infectious Disease Cases Prediction. - Peisong Zhang; Zhijin Wang; Guoqing Chao; Yaohui Huang; Jingwen Yan (IEA/AIE, 2022)

Learning High-dimensional Associations for Nonalcoholic Fatty Liver Disease Diagnosis Prediction. - Zhijin Wang; Bing Cai; Wen Yang; Peisong Zhang; Yaohui Huang; Jinmo Tang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

COVID-19 cases prediction in multiple areas via shapelet learning. - Zhijin Wang; Bing Cai (Appl. Intell., 2022)

A multi-view time series model for share turnover prediction. - Zhijin Wang; Qiankun Su; Guoqing Chao; Bing Cai; Yaohui Huang; Yonggang Fu (Appl. Intell., 2022)

A multi-view multi-omics model for cancer drug response prediction. - Zhijin Wang; Ziyang Wang; Yaohui Huang; Longquan Lu; Yonggang Fu (Appl. Intell., 2022)

Dual-grained directional representation for infectious disease case prediction. - Peisong Zhang; Zhijin Wang; Yaohui Huang; Mingzhai Wang (Knowl. Based Syst., 2022)

Parallel XPath query based on cost optimization. - Rongxin Chen; Zhijin Wang; Hang Su; Shutong Xie; Zongyue Wang (J. Supercomput., 2022)

Laplacian Lp norm least squares twin support vector machine. - Xijiong Xie; Feixiang Sun; Jiangbo Qian; Lijun Guo; Rong Zhang 007; Xulun Ye; Zhijin Wang (Pattern Recognit., 2023)

HFMD Cases Prediction Using Transfer One-Step-Ahead Learning. - Yaohui Huang; Peisong Zhang; Ziyang Wang; Zhenkun Lu; Zhijin Wang (Neural Process. Lett., 2023)

Oriented transformer for infectious disease case prediction. - Zhijin Wang; Pesiong Zhang; Yaohui Huang; Guoqing Chao; Xijiong Xie; Yonggang Fu (Appl. Intell., 2023)

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. - Jie Wang 072; Fajie Yuan; Mingyue Cheng; Joemon M. Jose; Chenyun Yu; Beibei Kong; Zhijin Wang; Bo Hu; Zang Li (APWeb/WAIM (2), 2024)

CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting. - Yue Hu 013; Senzhen Wu; Yu Chen; Xinhao He; Zihao Xie; Zhijin Wang; Xiufeng Liu 001; Yonggang Fu (EITCE, 2024)

Robust optimization of microhub network and mixed service strategy for a multidepot location-routing problem. - Fang Guo; Zhijin Wang; Zhihong Huang; Xiangrui Ma (Comput. Ind. Eng., 2024)

Enhanced transfer learning with data augmentation. - Jianjun Su; Xuejiao Yu; Xiru Wang; Zhijin Wang; Guoqing Chao (Eng. Appl. Artif. Intell., 2024)

Carbon futures price forecasting based on feature selection. - Yuan Zhao 007; Yaohui Huang; Zhijin Wang; Xiufeng Liu 001 (Eng. Appl. Artif. Intell., 2024)

A new feature selection method based on importance measures for crude oil return forecasting. - Yuan Zhao 007; Yaohui Huang; Zhijin Wang; Xiufeng Liu 001 (Neurocomputing, 2024)

Directional Representation Encoder-Decoder for Personalized Blood Glucose Forecasting. - Yu Chen; Zhijin Wang; Jinmo Tang; Henghong Lin; Senzhen Wu; Yaohui Huang (PAKDD (Workshops), 2025)

Temporal structure-preserving transformer for industrial load forecasting. - Senzhen Wu; Zhijin Wang; Xiufeng Liu 001; Yuan Zhao 007; Yue Hu 013; Yaohui Huang (Neural Networks, 2025)

General time series forecasting datasets. - Zhijin Wang; Yue Hu 013; Zhuorui Wu (Zenodo, 2025)

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World. - Ji Guo; Long Zhou; Zhijin Wang; Jiaming He; Qiyang Song; Aiguo Chen; Wenbo Jiang (CoRR, 2025)

Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting. - Yaohui Huang; Senzhen Wu; Zhijin Wang; Xiufeng Liu 001; Chendan Li; Yue Hu 013 (IEEE Trans. Smart Grid, 2025)

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data. - Zhijin Wang; Senzhen Wu; Yue Hu 013; Xiufeng Liu 001 (CoRR, 2025)