Dr. Bin Wu, member of CCF, CAAI and ACM, is a researcher from the School of Computer and Artificial Intelligence, Zhengzhou University. My research interests include data mining and machine learning, with a particular focus on recommender systems, graph representation learning, social network analysis, multimedia. Dr. Wu has published two translations and co-/authored more than 30 publications appeared in several top journals/conferences including TKDE, TNNLS, TSMC, TCYB, TII, IOT, and WSDM. Moreover, he has served as the PC member for WWW, KDD, RecSys, and ECML-PKDD conference, and the invited reviewer for prestigious journals including TKDE, TNNLS, TOIS, TSMC, and TCYB. He has received many awards over the past five years, like ACM Zhengzhou Rising Star Award in 2022, Technology Award (First Prize) of Henan Provincial Education Department in 2022 and 2023, ACM Zhengzhou Doctoral Dissertation Award in 2020 and Top 10 graduate award in 2019. His research group is now recruiting self-motivated Undergraduate / Master students in data mining and machine learning. He is also open to various collaborations. If you are interested in, please get in touch with me.

Selected Publications

pdf	Graph-augmented co-attention model for socio-sequential recommendation Bin Wu, Xiangnan He, Le Wu, Xue Zhang & Yangdong Ye IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 53(7):4039-4051, 2023. (中科院一区SCI, CCF B, Impact Factor: 11.471)  • Codes

pdf	Graph-augmented social translation model for next-item recommendation Bin Wu, Lihong Zhong & Yangdong Ye IEEE Transactions on Industrial Informatics (TII), 19(11):10913-10922, 2023. (中科院一区SCI, Impact Factor: 11.648)  • Codes

pdf	Graph-coupled time interval network for sequential recommendation Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang & Yangdong Ye Information Sciences, 119510, 2023. (中科院一区SCI, CCF B, Impact Factor: 8.1)  • Codes

pdf	Graph gating-mixer for sequential recommendation Bin Wu, Xun Su, Jing Liang, Zhongchuan Sun, Lihong Zhong & Yangdong Ye Expert Systems With Applications, 238:122060, 2024. (中科院一区SCI, Impact Factor: 8.5)  • Codes

pdf	Role-Guided Graph Neural Recommendation in User-Generated Content Scenarios Zhengzheng Lou, Junjiao Zhu, Wanchuang Zhang & Bin Wu Chinese Journal of Computers (in chinese), 2024-02-02. (CCF T1) *Corresponding Author

pdf	Attentive adversarial collaborative filtering Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang & Yangdong Ye IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 53(7):2168-2216, 2023. (中科院一区SCI, CCF B, Impact Factor: 11.471)  • Codes

pdf	Modeling product's visual and functional characteristics for recommender systems Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng & Yangdong Ye Proceedings of the 39th IEEE International Conference on Data Engineering, 3837-3838, 2023. (TKDE Poster Track)   • Codes

pdf	Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu & Kuisheng Chen Knowledge-Based Systems, 110492, 2023. (中科院一区SCI, Impact Factor: 8.139)   • Codes

pdf	Cross-modal information fusion for voice spoofing detection Junxiao Xue, Hao Zhou, Huawei Song, Bin Wu & Lei Shi Speech Communication, 147:41-50, 2023. (CCF B, Impact Factor: 2.723)

pdf	GCRec: graph-augmented capsule network for next-item recommendation Bin Wu, Xiangnan He, Qi Zhang, Meng Wang & Yangdong Ye IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 34(12):10164-10177, 2023. (中科院一区SCI, CCF B, Impact Factor: 14.255)   • Codes

pdf	Learning from the future: light cone modeling for sequential recommendation Zhongchuan Sun, Bin Wu, Yifan Chen & Yangdong Ye IEEE Transactions on Cybernetics (TCYB), 53(8):5358-5371, 2023. (中科院一区SCI, CCF B, Impact Factor: 19.118)   • Codes

pdf	Efficient complementary graph convolutional network without negative sampling for item recommendation Bin Wu, Lihong Zhong, Hui Li & Yangdong Ye Knowledge-Based Systems, 256:109758, 2022. (中科院一区SCI, Impact Factor: 8.139)   • Codes

pdf	Modeling product's visual and functional characteristics for recommender systems Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng & Yangdong Ye IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(3):1330-1343, 2022. (中科院一区SCI, CCF A, Impact Factor: 9.235)   • Codes

pdf	EAGCN: an efficient adaptive graph convolutional network for item recommendation in social internet of things Bin Wu, Lihong Zhong, Lina Yao & Yangdong Ye IEEE Internet of Things Journal (IOT), 9(17):16386-16401, 2022. (中科院一区SCI, Impact Factor: 10.238)   • Codes

pdf	Robustness evaluation for deep neural networks via mutation decision boundaries analysis Renhao Lin, Qinglei Zhou, Bin Wu & Xiaofei Nan Information Sciences, 601:147-161, 2022. (中科院一区SCI, CCF B, Impact Factor: 8.233)

pdf	Sequential graph collaborative filtering Zhongchuan Sun, Bin Wu, Youwei Wang & Yangdong Ye Information Sciences, 592:244-260, 2022. (中科院一区SCI, CCF B, Impact Factor: 6.975)   • Codes

pdf	Gating augmented capsule network for sequential recommendation Qi Zhang, Bin Wu, Zhongchuan Sun & Yangdong Ye Knowledge-Based Systems, 247:108817, 2022. (中科院一区SCI, Impact Factor: 8.139)   • Codes

pdf	Fine-grained modeling user interests for sequential recommendation Qi Zhang, Bin Wu, Zhongchuan Sun & Yangdong Ye SCIENTIA SINICA Informationis (in chinese), 52(10):1775-1791, 2022. (CCF T1)

pdf	A faster optimization mechanism for large-scale graph recommendation models Zhengyi Yang, Bin Wu, Xiang Wang & Xiangnan He Journal of Cyber Security (in chinese), 6(5):99-109, 2021. (CCF T2)

pdf	ATM: an attentive translation model for next-item recommendation Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen & Yangdong Ye IEEE Transactions on Industrial Informatics (TII), 16(3):1448-1459, 2020. (中科院一区SCI, Impact Factor: 10.215)

pdf	Unraveling metric vector spaces with factorization for recommendation Shuai Zhang, Lina Yao, Bin Wu*, Xiwei Xu, Xiang Zhang & Liming Zhu IEEE Transactions on Industrial Informatics (TII), 16(2):732-742, 2020. (中科院一区SCI, Impact Factor: 10.215) • Codes *Corresponding Author

pdf	BSPR: basket-sensitive personalized ranking for product recommendation Bin Wu & Yangdong Ye Information Sciences, 541:185-206, 2020. (中科院一区SCI, CCF B, Impact Factor: 6.795) • Codes

pdf	Multi-granularity environment perception based on octree occupancy grid Ge Zhang, Bin Wu, Yulong Xu & Yangdong Ye Multimedia Tools and Applications, 79:26765–26785, 2020. (中科院三区SCI, Impact Factor: 2.757)

pdf	Co-attention mechanism for sequential recommendation Xuwei He, Bin Wu, Zhongchuan Sun & Yangdong Ye The 26th China Conference on Information Retrieval, CCIR 2020

pdf	Visual appearance or functional complementarity: which aspect affects your decision making? Bin Wu, Yangdong Ye & Yun Chen Information Sciences, 476:19-37, 2019. (中科院一区SCI, CCF B, Impact Factor: 5.910)

pdf	APL: adversarial pairwise learning for recommender systems Zhongchuan Sun, Bin Wu#, Yunpeng Wu & Yangdong Ye Expert Systems with Applications, 118:573-584, 2019. (中科院一区SCI, Impact Factor: 5.452)   • Codes    #Co-first Author

pdf	Gated attentive-autoencoder for content-aware recommendation Chen Ma, Peng Kang, Bin Wu, Qinglong Wang & Xue Liu Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM), 519--527, 2019. (CCF B)   • Codes

pdf	DeepRec: an open-source toolkit for deep learning based recommendation Shuai Zhang, Yi Tay, Lina Yao, Bin Wu & Aixin Sun Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 6581-6583, 2019.   • Codes

pdf	A collaborative filtering recommendation algorithm for multi-source heterogeneous data Bin Wu, Zhengzheng Lou & Yangdong Ye Journal of Computer Research and Development (in chinese), 56(5): 1034-1047, 2019. (CCF T1)

pdf	Co-pairwise ranking model for item recommendation Bin Wu, Yun Chen, Zhongchuan Sun & Yangdong Ye Journal on Communications (in chinese), 40(9):193-206, 2019. (CCF T2)

pdf	Co-regularized matrix factorization recommendation algorithm Bin Wu, Zhengzheng Lou & Yangdong Ye Journal of Software (in chinese), 29(9):2681-2696, 2018. (CCF T1)

pdf	Recommendation Systems Handbook First Edition & Second Edition,Translator

Fundings

国家自然科学青年基金项目(62102369), 在研, 主持 中国博士后基金第74批面上项目(2023M743188), 在研, 主持 河南省博士后科研启动项目(202102016), 二等, 在研, 主持 河南省重点研发与推广专项(科技攻关)(232102211045), 经费支持, 在研, 主持 图传播IB方法的模型及传播机制研究(62176239), 在研, 参与 国家重点研发计划“先进轨道交通”重点专项(2018YFB1201403), 结项, 参与 传播IB方法的研究(61772475), 结项, 参与

Honors

2022 ACM Zhengzhou Rising Star Award, Jun 15 2023. Technology Award of Henan Provincial Education Department, First Prize, Jun 8 2023. The Headline News of Zhengzhou University, May 18 2022. Technology Award of Henan Provincial Education Department, First Prize, 2022 Excellent Academic Paper Award of the Fifth Henan Provincial Science Prize, Third Prize, 2022. ACM Zhengzhou Doctoral Dissertation Award, 2020. Excellent Doctoral Dissertation of Zhengzhou University, 2020. Outstanding Graduate of Henan Province, 2020. Outstanding Graduate of Zhengzhou University, 2020. Songshan Award of Excellent Doctoral Dissertation, Media News , 2020. Best Paper Award in the 14th Forum of Postgraduates, Zhengzhou University, 2019 Top 10 Graduate Award (郑州大学研究生最高荣誉), Media Coverage [1],[2], [3], [4], 2019 National Scholarship for Graduate Students, 2019 Miyoshi Graduate Student, 2019 Graduate Award for Outstanding Achievement, 2018 Miyoshi Graduate Student, 2018 Outstanding Graduate of Zhengzhou University, 2013 National Encouragement Scholarship, 2012

Patents

一种基于成对对抗训练的推荐模型, 第3作者, 公开号: CN109360069B.

一种基于对抗模型的推荐方法, 第3作者, 公开号: CN111259244B.

一种图增强门控混合器的序列推荐方法, 第1作者, 公开号: CN117893272A.

一种基于社交平移模型的序列化推荐方法, 第1作者, 公开号: CN116738039A.

面向序列化推荐的图增强胶囊网络研究, 第1作者, 公开号: CN115496185A.

面向社会时序化推荐的图增强联合注意力方法, 第1作者, 公开号: CN116701755A.

面向序列化推荐的图耦合时间间隔网络研究, 第1作者, 公开号: CN116701766A.

一种图增强门控混合器的序列推荐方法, 第1作者, 申请号: 202311676658.X.

一种基于高阶平移模型的物品推荐方法, 第2作者, 公开号: CN111652696A.

一种融合物品内在与外在特性的推荐方法, 第2作者, 公开号: CN111915390A.

一种空间自适应图卷积网络的推荐方法, 第3作者, 公开号: CN113590976A.

一种高效非采样的图卷积网络推荐方法, 第3作者, 公开号: CN114282122A.

用于快速评估排序模型的方法和装置, 第4作者, 公开号: CN114896131A.

一种基于小样本学习的预测蛋白质乳酸化修饰位点的算法, 第2作者, 公开号: CN116631506A.

一种门控单元增强胶囊网络的推荐方法, 第5作者, 公开号: CN114969535A.

Academic Activities

Frontiers of Computer Science (Academic Promotion Editor), CAAI Member, CCF Member, ACM Member

Reviewer of Journals: ACM TOIS, ACM TKDD, IEEE TNNLS, IEEE TII, IEEE TKDE, IEEE TCYB, IEEE TSMC, Knowledge and Information Systems, Information Sciences, Knowledge-Based Systems, IEEE computational intelligence magazine, Frontiers of Computer Science, IEEE Intelligent Systems, Neurocomputing, Expert Systems with Applications, Multimedia Systems, WWWJ, Journal of Software, Journal of Computer Research and Development, Chinese Journal of Computers, CAAI TRIT

PC Member of Conferences: WWW2023, RecSys2022, KDD2022, WSDM2022, ECML-PKDD2022, ECML-PKDD2021, ECML-PKDD2020, IJCNN 2019, IJCNN2020, RS@SAC’17

Invited Talks

General Recommendation→Sequential Recommendation→Socio-Sequential Recommendation    invited by Prof. Lianyong Qi, China University of Petroleum, 23 November, 2023

Modeling Fine-grained User Preference for Recommender Systems    invited by Prof. Yonghong Yu, Nanjing University of Posts and Telecommunications, 28 September, 2022

Graph Neural Networks and Sequential Recommendation    invited by Prof. Weike Pan, Shenzhen University, 29 November, 2021

Recommendation Methods over Diversified Data    invited by the 7th Doctor Forum of Henan Computer Federation, 21 September, 2019

Opensource Projects

Librec(Core Developer), NeuRec(Creator), DeepRec(Core Developer)

Useful Links

CCF Rankings

中科院分区查询

科研通

CS Conference Deadlines

Last update: 18 Feb, 2023. Webpage template borrows from Xiangnan He and Yinwei Wei.