Graph-based workflow recommendation: on improving business process modeling. - Bin Cao 004; Jianwei Yin; ShuiGuang Deng; Dongjing Wang; Zhaohui Wu 001 (CIKM, 2012)

Exploring user emotion in microblogs for music recommendation. - ShuiGuang Deng; Dongjing Wang; Xitong Li; Guandong Xu (Expert Syst. Appl., 2015)

Learning Music Embedding with Metadata for Context Aware Recommendation. - Dongjing Wang; ShuiGuang Deng; Xin Zhang 079; Guandong Xu (ICMR, 2016)

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach. - Dongjing Wang; ShuiGuang Deng; Guandong Xu (WISE (1), 2016)

Improving Music Recommendation Using Distributed Representation. - Dongjing Wang; ShuiGuang Deng; Songguo Liu; Guandong Xu (WWW (Companion Volume), 2016)

Music recommendation via heterogeneous information graph embedding. - Dongjing Wang; Guandong Xu; ShuiGuang Deng (IJCNN, 2017)

A Recommendation System to Facilitate Business Process Modeling. - ShuiGuang Deng; Dongjing Wang; Ying Li 001; Bin Cao 004; Jianwei Yin; Zhaohui Wu 001; Mengchu Zhou (IEEE Trans. Cybern., 2017)

Sequence-based context-aware music recommendation. - Dongjing Wang; Shuiguang Deng; Guandong Xu (Inf. Retr. J., 2018)

Learning to embed music and metadata for context-aware music recommendation. - Dongjing Wang; Shuiguang Deng; Xin Zhang 079; Guandong Xu (World Wide Web, 2018)

Characterization and Prediction of Popular Projects on GitHub. - Junxiao Han; Shuiguang Deng; Xin Xia 001; Dongjing Wang; Jianwei Yin (COMPSAC (1), 2019)

Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation. - Dongjin Yu; Kaihui Xu; Dongjing Wang (SEKE, 2019)

Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing. - Dongjin Yu; Dengwei Xu; Dongjing Wang; Zhiyong Ni (IEEE Access, 2019)

Point-of-Interest Recommendation Based on User Contextual Behavior Semantics. - Dongjin Yu; Kaihui Xu; Dongjing Wang; Ting Yu 002; Wanqing Li 003 (Int. J. Softw. Eng. Knowl. Eng., 2019)

Activate Cost-Effective Mobile Crowd Sensing with Multi-access Edge Computing. - Zhengzhe Xiang; Shuiguang Deng; Yuhang Zheng; Dongjing Wang; Cheng Zhang 010; Yuanyi Chen; Zengwei Zheng (ChinaCom, 2020)

A fast filter enhancement method for the infrared image. - Wei Qi; Dongjing Wang; Wei Li (RICAI, 2020)

Citation Count Prediction Based on Neural Hawkes Model. - Lisha Liu; Dongjin Yu; Dongjing Wang; Fumiyo Fukumoto (IEICE Trans. Inf. Syst., 2020)

Context-aware Artificial Internet-of-Things Application Deployment in Edge-Cloud Systems. - Zengwei Zheng; Yuhang Zheng; Dongjing Wang; Hailiang Zhao; Cheng Zhang 010; Zhengzhe Xiang (SCC, 2021)

Energy-effective IoT Services in Balanced Edge-Cloud Collaboration Systems. - Zhengzhe Xiang; Shuiguang Deng; Yuhang Zheng; Dongjing Wang; Javid Taheri; Zengwei Zheng (ICWS, 2021)

Time-aware sequence model for next-item recommendation. - Dongjing Wang; Dengwei Xu; Dongjin Yu; Guandong Xu (Appl. Intell., 2021)

TLSAN: Time-aware long- and short-term attention network for next-item recommendation. - Jianqing Zhang; Dongjing Wang; Dongjin Yu (Neurocomputing, 2021)

Leveraging contextual influence and user preferences for point-of-interest recommendation. - Dongjin Yu; Wenbo Wanyan; Dongjing Wang (Multim. Tools Appl., 2021)

CAME: Content- and Context-Aware Music Embedding for Recommendation. - Dongjing Wang; Xin Zhang 079; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Neural Networks Learn. Syst., 2021)

Attentive sequential model based on graph neural network for next poi recommendation. - Dongjing Wang; Xingliang Wang; Zhengzhe Xiang; Dongjin Yu; Shuiguang Deng; Guandong Xu (World Wide Web, 2021)

Graph-Based Attentive Sequential Model With Metadata for Music Recommendation. - He Weng; Jianjiang Chen; Dongjing Wang; Xin Zhang 079; Dongjin Yu (IEEE Access, 2022)

DSIM: dynamic and static interest mining for sequential recommendation. - Dongjin Yu; Jianjiang Chen; Dongjing Wang; Yueshen Xu; Zhengzhe Xiang; Shuiguang Deng (Knowl. Inf. Syst., 2022)

Robust and Cost-effective Resource Allocation for Complex IoT Applications in Edge-Cloud Collaboration. - Zhengzhe Xiang; Yuhang Zheng; Dongjing Wang; Mengzhu He; Cheng Zhang 010; Zengwei Zheng (Mob. Networks Appl., 2022)

Gated three-tower transformer for text-driven stock market prediction. - Jia Chen; Tao Chen; Mengqi Shen; Yunhai Shi; Dongjing Wang; Xin Zhang 079 (Multim. Tools Appl., 2022)

Energy-effective artificial internet-of-things application deployment in edge-cloud systems. - Zhengzhe Xiang; Yuhang Zheng; Mengzhu He; Longxiang Shi; Dongjing Wang; Shuiguang Deng; Zengwei Zheng (Peer-to-Peer Netw. Appl., 2022)

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. - Dongjing Wang; Xin Zhang 079; Zhengzhe Xiang; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Cybern., 2022)

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yao Wan 001; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Multim., 2022)

A multi-level feature integration network for image inpainting. - Tao Chen; Xin Zhang 079; Bernd Hamann; Dongjing Wang; Hua Zhang (Multim. Tools Appl., 2022)

NGPR: A comprehensive personalized point-of-interest recommendation method based on heterogeneous graphs. - Dongjin Yu; Ting Yu 002; Dongjing Wang; Yi Shen (Multim. Tools Appl., 2022)

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition. - Haiping Zhang 001; Xinhao Zhang; Dongjin Yu; Liming Guan; Dongjing Wang; Fuxing Zhou; Wanjun Zhang (Sensors, 2023)

Joint Content Caching and Recommendation in Opportunistic Mobile Networks Through Deep Reinforcement Learning and Broad Learning. - Dongjin Yu; Tong Wu 014; Chengfei Liu; Dongjing Wang (IEEE Trans. Serv. Comput., 2023)

MTSCANet: Multi temporal resolution temporal semantic context aggregation network. - Haiping Zhang 001; Conghao Ma; Dongjin Yu; Liming Guan; Dongjing Wang; Zepeng Hu; Xu Liu (IET Comput. Vis., 2023)

Incorporating Multivariate Auxiliary Information for Traffic Prediction on Highways. - Bao Li; Jing Xiong; Feng Wan; Changhua Wang; Dongjing Wang (Sensors, 2023)

Web service recommendation for mashup creation based on graph network. - Ting Yu 002; Dongjin Yu; Dongjing Wang; Xueyou Hu (J. Supercomput., 2023)

Skeleton-based action recognition with multi-stream, multi-scale dilated spatial-temporal graph convolution network. - Haiping Zhang 001; Xu Liu; Dongjin Yu; Liming Guan; Dongjing Wang; Conghao Ma; Zepeng Hu (Appl. Intell., 2023)

Context-and category-aware double self-attention model for next POI recommendation. - Dongjing Wang; Feng Wan; Dongjin Yu; Yi Shen; Zhengzhe Xiang; Yueshen Xu (Appl. Intell., 2023)

MCMNET: Multi-Scale Context Modeling Network for Temporal Action Detection. - Haiping Zhang 001; Fuxing Zhou; Conghao Ma; Dongjing Wang; Wanjun Zhang (Sensors, 2023)

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. - Xingliang Wang; Dongjing Wang; Dongjin Yu; Runze Wu 001; Qimeng Yang; Shuiguang Deng; Guandong Xu (Neurocomputing, 2023)

Sequential Recommendation with Temporal Influence Based on Hawkes Process. - Peiji Yu; Tianxing Wu 001; Dongjing Wang; Dengwei Xu (COMPSAC, 2024)

Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. - Qimeng Yang; Shijia Wang; Da Guo; Dongjin Yu; Qiang Xiao; Dongjing Wang; Chuanjiang Luo (ICDM, 2024)

Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network. - Haojiang Yao; Dongjin Yu; Dongjing Wang; Haiping Zhang 001; Shiyu Song; Jiaming Li (ICWE, 2024)

Providing Sustainable Unmanned Facial Detection and Recognition Service on Edge. - Zhengzhe Xiang; Xizi Xue; Dongjing Wang; Yuanyi Chen; Zengwei Zheng; Honghao Gao (ICWS, 2024)

App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering. - Qiuhan Zheng; Dongjin Yu; Dongjing Wang; Wangliang Yan; Yaolin Fu (IJCNN, 2024)

A gradual self distillation network with adaptive channel attention for facial expression recognition. - Xin Zhang 079; Jinlin Zhu; Dongjing Wang; Yueyun Wang; Tingting Liang; Hongbo Wang; Yuyu Yin (Appl. Soft Comput., 2024)

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction. - Dongjin Yu; Gangming Guo; Dongjing Wang; Haiping Zhang 001; Bao Li; Guandong Xu; Shuiguang Deng (Expert Syst. Appl., 2024)

Recommendation-Enabled Edge Caching and D2D Offloading via Incentive-Driven Deep Reinforcement Learning. - Tong Wu 014; Dongjin Yu; Chengfei Liu; Dongjing Wang; Binbin Huang (IEEE Trans. Serv. Comput., 2024)

Siamese learning based on graph differential equation for Next-POI recommendation. - Yuxuan Yang 005; Siyuan Zhou; He Weng; Dongjing Wang; Xin Zhang 079; Dongjin Yu; Shuiguang Deng (Appl. Soft Comput., 2024)

Iterative framework based on multi-task learning for service recommendation. - Ting Yu 002; Dongjin Yu; Dongjing Wang; Quanxin Yang; Xueyou Hu (J. Syst. Softw., 2024)

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yuyu Yin; Dongjin Yu; Guandong Xu; Shuiguang Deng (ACM Trans. Inf. Syst., 2024)

Long tail service recommendation based on cross-view and contrastive learning. - Dongjin Yu; Ting Yu 002; Dongjing Wang; Sixuan Wang (Expert Syst. Appl., 2024)

FMGDN: Flexible Multi-Grained Dilation Network Empowered Multimedia Image Inpainting for Electronic Consumer. - Xin Zhang 079; Bernd Hamann; Dongjing Wang; Hongbo Wang; Yueyun Wang; Yuyu Yin; Honghao Gao (IEEE Trans. Consumer Electron., 2024)

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling. - Pan Gu; Haiyang Hu; Dongjing Wang; Dongjin Yu; Guandong Xu (Neural Process. Lett., 2024)

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. - Dongjin Yu; Xingliang Wang; Yu Xiong; Xudong Shen; Runze Wu 001; Dongjing Wang; Zhene Zou; Guandong Xu (ACM Trans. Intell. Syst. Technol., 2024)

LGAFormer: transformer with local and global attention for action detection. - Haiping Zhang 001; Fuxing Zhou; Dongjing Wang; Xinhao Zhang; Dongjin Yu; Liming Guan (J. Supercomput., 2024)

Category-aware self-supervised graph neural network for session-based recommendation. - Dongjing Wang; Ruijie Du; Qimeng Yang; Dongjin Yu; Feng Wan; Xiaojun Gong; Guandong Xu; Shuiguang Deng (World Wide Web (WWW), 2024)

Multivariate Hawkes Spatio-Temporal Point Process with attention for point of interest recommendation. - Xin Zhang 079; He Weng; Yuxin Wei; Dongjing Wang; Jia Chen; Tingting Liang; Yuyu Yin (Neurocomputing, 2025)

Disentangled progressive negative sampling for graph collaborative filtering recommendation. - Hewei Li; Xin Zhang 079; He Weng; Yingjie Shen; Kangkai Cai; Dongjing Wang; Zhen Qin 004; Shuiguang Deng (Knowl. Based Syst., 2025)

Graph Intention Embedding Neural Network for tag-aware recommendation. - Dongjing Wang; Haojiang Yao; Dongjin Yu; Shiyu Song; He Weng; Guandong Xu; Shuiguang Deng (Neural Networks, 2025)

TSCANet: a two-stream context aggregation network for weakly-supervised temporal action localization. - Haiping Zhang 001; Haixiang Lin; Dongjing Wang; Dongyang Xu; Fuxing Zhou; Liming Guan; Dongjing Yu; Xujian Fang (J. Supercomput., 2025)

Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting. - Dongjin Yu; Gangming Guo; Dongjing Wang; Tianpei OuYang; Feng Wan; Jitao Liu; Guandong Xu; Shuiguang Deng (IEEE Trans. Veh. Technol., 2025)

A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting. - Dongjing Wang; Gangming Guo; Tianpei OuYang; Dongjin Yu; Haiping Zhang 001; Bao Li; Rong Jiang; Guandong Xu; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2025)

IACFormer: a transformer framework with instantaneous average convolution for temporal action detection. - Haiping Zhang 001; Dongyang Xu; Haixiang Lin; Dongjing Wang; Dongjin Yu; Liming Guan; Wanjun Zhang (Appl. Intell., 2025)

Accelerating Containerized Service Delivery at the Network Edge. - Yinuo Deng; Hailiang Zhao; Dongjing Wang; Peng Chen; Wenzhuo Qian; Jianwei Yin; Schahram Dustdar; Shuiguang Deng (CoRR, 2025)