I am currently a Associate Professor with the DBSI Lab, School of Compter Science and Technology at Hangzhou Dianzi University (HDU), Hangzhou, China. Prior to that, I got my Ph.D degree and B.S. degree from Zhejiang University in 2018 and 2012, under the supervision of Prof. Shuiguang Deng. I have been visiting University of Technology Sydney, Australia (working with Prof. Guandong Xu) during Mar., 2016 to Mar., 2017.

My research interests are mainly focusing on Recommender Systems, Data Mining and Machine Learning. Welcome all students interested in these research topics to join my research team!

欢迎对推荐系统、数据挖掘和机器学习方向感兴趣的同学加入课题组！

Email address: dongjing.wang[at]hdu.edu.cn

中文主页

Notice

欢迎报考大数据研究院2024级硕士研究生！

Selected Publications

Full publications: [Google scholar], [DBLP], [Semantic Scholar]

Book

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

Selected Research Paper

• Dongjing Wang, Xin Zhang*, Yuyu Yin, Dongjin Yu, Guandong Xu, Shuiguang Deng. Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation, ACM Transactions on Information Systems, 2024（CCF A）
• 王东京, 刘继涛, 俞东进*. 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[J]. 软件学报.（2023）[link]
• Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu*, Shuiguang Deng, Guandong Xu. Attentive sequential model based on graph neural network for next poi recommendation. World Wide Web 24, 2161–2184 (2021). [code]
• Dongjing Wang, Xin Zhang*, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng. Modeling Sequential Listening Behaviors with Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Transactions on Multimedia. 2021.
• Dongjing Wang, Xin Zhang*, Zhengzhe Xiang, Dongjin Yu, Guandong Xu, Shuiguang Deng. Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. IEEE Transactions on Cybernetics 2021.
• Jianqing Zhang, Dongjing Wang*, Dongjin Yu. TLSAN: Time-aware Long-and Short-term Attention Network for Next-item Recommendation. Neurocomputing 441, 179-191. 2021.[code]
• Dongjing Wang*, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng. CAME: Contentand Context-Aware Music Embedding for Recommendation. IEEE Transactions on Neural Networks and Learning Systems 32(3): 1375-1388, 2021.
• Dongjing Wang, Dengwei Xu, Dongjin Yu*, Guandong Xu, Time-aware sequence model for next-item recommendation, Applied Intelligence, 51 (2), 906-920. 2021.
• Dongjin Yu*, Kaihui Xu, Dongjing Wang. Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation. The 31st International Conference on Software Engineering and Knowledge Engineering, {SEKE} 2019. (Best Paper Award: Third Place)
• Dongjing Wang, Shuiguang Deng*, Xin Zhang, Guandong Xu. Learning to Embed Music and Metadata for Context-Aware Music Recommendation. World Wide Web (2018) 21:1399 – 1423.
• Dongjing Wang, Shuiguang Deng*, Guandong Xu. Sequence-based Context-aware Music Recommendation. Information Retrieval Journal (2018) 21:230–252.
• Dongjing Wang, Shuiguang Deng, Xin Zhang, Guandong Xu. Learning Music Embedding with Metadata for Context Aware Recommendation. Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval (ICMR 2016): 249-253.
• Dongjing Wang, Shuiguang Deng, Songguo Liu, Guandong Xu. Improving Music Recommendation Using Distributed Representation. Proceedings of the 25th International Conference Companion on World Wide Web (WWW 2016) : 125-126. (Best paper Nomination)
• Shuiguang Deng*, Dongjing Wang, Xitong Li, Guandong Xu. Exploring User Emotion in Microblogs for Music Recommendation. Expert Systems with Applications, Volume 42, Issue 23, 15 December 2015, Pages 9284-9293.
• Shuiguang Deng*, Dongjing Wang, Ying Li, Bin Cao, Jianwei Yin, Zhaohui Wu, Mengchu Zhou. A Recommendation System to Facilitate Business Process Modeling. IEEE Transactions on Cybernetics, 2016.
• 王东京, 邓水光*, 曹斌, 尹建伟, 熊丽荣. Efficient and reliable process recommendation system-jtangwfr (JTangWFR: 一个高效可靠的流程推荐系统). Computer Integrated Manufacturing Systems (计算机集成制造系统) 19(8), 2013.