Dongjing Wang

Dongjing Wang

Lecturer@HDU

Full Publications [Google scholar], [DBLP], [Semantic Scholar]

Selected publications:

Book

2022

  • Big Data: Foundation, Technique, and Application（大数据：基础、技术与应用）.
    Dongjin Yu (俞东进), Xiaoxiao Sun (孙笑笑) and Dongjing Wang (王东京). SCIENCE PRESS (科学出版社). ISBN: 9787030714473. 2022-01-01. [link]

Research Paper

2022

  • A Multi-level Feature Integration Network for Image Inpainting.
    Tao Chen, Xin Zhang*, Bernd Hamann, Dongjing Wang and Hua Zhang*. Multimedia Tools and Applications (MTAP, CCF-C). (Accepted)

  • Gated Three-Tower Transformer for Text-Driven Stock Market Prediction.
    Jia Chen, Tao Chen, Mengqi Shen, Yunhai Shi, Dongjing Wang and Xin Zhang*. Multimedia Tools and Applications (MTAP, CCF-C). (Accepted)

  • Research on Trajectory Simplification Based on Kalman Filtering and Adaptive Map Matching Algorithm for Electric Bicycle (基于卡尔曼滤波的电动自行车轨迹简化与自适应地图匹配算法研究).
    Dongjing Wang, Jitao Liu and Dongjin Yu. Journal of Software (软件学报) . (Accepted) [Link]

2021

  • Attentive sequential model based on graph neural network for next poi recommendation.
    Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu*, Guandong Xu, Shuiguang Deng. World Wide Web 24, 2161–2184 (2021) (CCF-B). [code]

  • Modeling Sequential Listening Behaviors with Attentive Temporal Point Process for Next and Next New Music Recommendation.
    Dongjing Wang, Xin Zhang*, Yao Wan, Dongjin Yu, Guandong Xu and Shuiguang Deng. IEEE Transactions on Multimedia 2021 (TMM, CCF-B, JCR Q1). [Link]

  • Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention.
    Dongjing Wang, Xin Zhang*, Zhengzhe Xiang, Dongjin Yu, Guandong Xu and Shuiguang Deng. IEEE Transactions on Cybernetics 2021 (TCYB, CCF-B, JCR Q1).

  • TLSAN: Time-aware Long-and Short-term Attention Network for Next-item Recommendation.
    Jianqing Zhang, Dongjing Wang* and Dongjin Yu. Neurocomputing 441, 179-191, 2021 (CCF-C). [code]

  • Leveraging contextual influence and user preferences for point-of-interest recommendation.
    Dongjin Yu, Wenbo Wanyan and Dongjing Wang*. Multimedia Tools and Applications* 80 (1), 1487-150 (MTAP 2021, CCF-C). [code]

  • CAME: Contentand Context-Aware Music Embedding for Recommendation.
    Dongjing Wang*, Xin Zhang, Dongjin Yu, Guandong Xu and Shuiguang Deng. IEEE Transactions on Neural Networks and Learning Systems 32(3): 1375-1388 (TNNLS 2021, CCF-B).

  • Time-aware sequence model for next-item recommendation.
    Dongjing Wang, Dengwei Xu, Dongjin Yu*, Guandong Xu. Applied Intelligence, 51 (2), 906-920, 2021. [code]

  • 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 Networking and Applications (PPNA 2021, CCF-C).

  • Energy-effective IoT Services in Balanced Edge-Cloud Collaboration Systems.
    Zhengzhe Xiang, Shuiguang Deng, Yuhang Zheng, Dongjing Wang, Javid Tehari, Zengwei Zheng. IEEE International Conference on Web Services: 219-229 (ICWS 2021, CCF-B).

  • Zengwei Zheng, Yuhang Zheng, Dongjing Wang, Hailiang Zhao, Cheng Zhang, Zhengzhe Xiang.
    dongjing. IEEE International Conference on Services Computing (SCC 2021, CCF-C).

2020

  • Citation Count Prediction Based on Neural Hawkes Model.
    Lisha Liu, Dongjin Yu*, Dongjing Wang, Fumiyo Fukumoto*. IEICE Transactions on Information and Systems*, 2020, 103(11): 2379-2388.

  • Activate Cost-Effective Mobile Crowd Sensing with Multi-access Edge Computing.
    dongjing. International Conference on Communications and Networking in China 2020: 78-97(Best paper award).

2019

  • Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation.
    Dongjin Yu, Kaihui Xu, Dongjing Wang. The 31st International Conference on Software Engineering and Knowledge Engineering (SEKE 2019, CCF-C, Best Paper Award: Third Place). [code]

  • Point-of-interest recommendation based on user contextual behavior semantics.
    Dongjin Yu*, Kaihui Xu, Dongjing Wang, Ting Yu and Wanqing Li. International Journal of Software Engineering and Knowledge Engineering 29(11n12): 1781-1799 (IJCSKE 2019, CCF-C).

  • Characterization and prediction of popular projects on github.
    dongjing. IEEE 43rd annual computer software and applications conference (COMPSAC) 2019: 21-26 (COMPSAC 2019, CCF-C).

2018

  • Learning to Embed Music and Metadata for Context-Aware Music Recommendation.
    Dongjing Wang, Shuiguang Deng*, Xin Zhang and Guandong Xu. World Wide Web (2018) 21:1399 – 1423 (CCF-B).

  • Sequence-based Context-aware Music Recommendation.
    Dongjing Wang, Shuiguang Deng* and Guandong Xu. Information Retrieval Journal (2018) 21:230–252 (CCF-C).

2017 and before

  • Music Recommendation via Heterogeneous Information Graph Embedding.
    Dongjing Wang, Shuiguang Deng and Guandong Xu. International Joint Conference on Neural Networks (IJCNN 2017, CCF-C).

  • Learning Music Embedding with Metadata for Context Aware Recommendation.
    Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu. Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval 249-253 (ICMR 2016, CCF-B).

  • Improving Music Recommendation Using Distributed Representation.
    Dongjing Wang, Shuiguang Deng, Songguo Liu and Guandong Xu. Proceedings of the 25th International Conference Companion on World Wide Web* : 125-126 (WWW 2016, CCF-A, Best paper Nomination).

  • A Recommendation System to Facilitate Business Process Modeling.
    Shuiguang Deng*, Dongjing Wang, Ying Li, Bin Cao, Jianwei Yin, Zhaohui Wu, Mengchu Zhou. IEEE Transactions on Cybernetics (TCYB 2016, CCF-B).

  • GEMRec: A Graph-based Emotion-aware Music Recommendation Approach.
    Dongjing Wang, Shuiguang Deng, Guandong Xu. International Conference on Web Information Systems Engineering: 92-106 (WISE 2016, CCF-C).

  • Exploring User Emotion in Microblogs for Music Recommendation.
    Shuiguang Deng*, Dongjing Wang, Xitong Li, Guandong Xu. Expert Systems with Applications 42(23): 9284-9293 (ESWA 2015, CCF-C).

  • Efficient and reliable process recommendation system-jtangwfr (JTangWFR: 一个高效可靠的流程推荐系统).
    王东京,邓水光,曹斌,尹建伟,熊丽荣. Computer Integrated Manufacturing Systems (计算机集成制造系统)* 19(8) 2013 .

  • A near neighbour and maximal subgraph first based business process recommendation technique (一种基于近距离最大子图优先的业务流程推荐技术).
    曹斌, 尹建伟, 邓水光, 王东京, 徐悦甡. Chinese Journal of Computers (计算机学报) 36(2): 263-274, 2013.

  • Graph-based workflow recommendation: on improving business process modeling.
    Bin Cao, Jianwei Yin, ShuiGuang Deng, Dongjing Wang, Zhaohui Wu. Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM 2012, CCF-B).

Please refer to [Google scholar], [DBLP], [Semantic Scholar] for full publications.