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ORCIDHaobing Liu 0001
Person information
- affiliation: Ocean University of China, Qingdao, China
Other persons with the same name
- Haobing Liu 0002 — University of New Mexico, Albuquerque, NM, USA
- Haobing Liu 0003 — National University of Singapore, Singapore
- Haobing Liu 0004 — ZWEEC Analytics Pte. Ltd., Singapore
- Haobing Liu 0005
![[0009-0000-4471-066X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0000-4471-066X")
— Beijing Normal University, China - Haobing Liu 0006 — Tongji University, MoE Key Laboratory of Road and Traffic Engineering, Shanghai, China
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2020 – today
- 2024
[c9]Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang:
Incorporating Higher-order Structural Information for Graph Clustering. DASFAA (4) 2024: 507-517- [i6]Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang:
Incorporating Higher-order Structural Information for Graph Clustering. CoRR abs/2403.11087 (2024) - 2023
- [j9]Haobing Liu, Jianyu Ding, Yanmin Zhu, Feilong Tang, Jiadi Yu, Ruobing Jiang, Zhongwen Guo:
Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation. Knowl. Based Syst. 280: 111013 (2023) - [j8]Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang:
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. IEEE Trans. Big Data 9(2): 716-732 (2023) - [j7]Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang:
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 3:1-3:22 (2023) - [j6]Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu:
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 59:1-59:23 (2023) - [j5]Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu:
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation. ACM Trans. Knowl. Discov. Data 17(9): 130:1-130:27 (2023) - [j4]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. ACM Trans. Inf. Syst. 41(2): 42:1-42:39 (2023) - [i5]Haobing Liu, Jianyu Ding, Yanmin Zhu, Feilong Tang, Jiadi Yu, Ruobing Jiang, Zhongwen Guo:
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation. CoRR abs/2309.14938 (2023) - 2022
- [j3]Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu:
MPAN: Multi-parallel attention network for session-based recommendation. Neurocomputing 471: 230-241 (2022) - [j2]Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang:
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks. ACM Trans. Knowl. Discov. Data 16(1): 16:1-16:24 (2022) - [j1]Zhaobo Wang, Yanmin Zhu, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu:
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation. ACM Trans. Knowl. Discov. Data 16(6): 104:1-104:21 (2022) - [c8]Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu:
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. DASFAA (2) 2022: 53-68 - [c7]Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang:
Learning Graph-based Disentangled Representations for Next POI Recommendation. SIGIR 2022: 1154-1163 - [i4]Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang:
Deep Meta-learning in Recommendation Systems: A Survey. CoRR abs/2206.04415 (2022) - [i3]Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang:
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. CoRR abs/2207.11776 (2022) - 2021
- [c6]Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu:
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. CIKM 2021: 1889-1898 - [c5]Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li:
Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. DASFAA (1) 2021: 526-541 - [c4]Chao Long, Yanmin Zhu, Haobing Liu, Jiadi Yu:
Efficient Feature Interactions Learning with Gated Attention Transformer. WISE (2) 2021: 3-17 - [c3]Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu:
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. WSDM 2021: 616-634 - [i2]Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang:
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks. CoRR abs/2103.13565 (2021) - [i1]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. CoRR abs/2108.03357 (2021) - 2020
- [c2]Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai:
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. CIKM 2020: 865-874 - [c1]Haobing Liu, Yanmin Zhu, Yanan Xu:
Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks. DASFAA (2) 2020: 297-313
Coauthor Index
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