Haobing Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Social Influences

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Xinze Liu, Haobing Liu, Qiongpei Kong, Ning Zhang
Policy Research in the Metaverse Technologies Enabled Publishing Industry in China (2016-2023). HCI (35) (2024)
Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang
Incorporating Higher-order Structural Information for Graph Clustering. CoRR (2024)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu
MPAN: Multi-parallel attention network for session-based recommendation. Neurocomputing 471 (2022)
Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang
Learning Graph-based Disentangled Representations for Next POI Recommendation. SIGIR (2022)
Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis. CoRR (2022)
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) (2022)
Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang
Deep Meta-learning in Recommendation Systems: A Survey. CoRR (2022)
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) (2022)
Qinjie Lin, Chin-Boon Chng, Joan Too, Jinshuo Zhang, Haobing Liu, Theng-Wai Foong, Will Loh, Chee-Kong Chui
Towards Artificial Intelligence-enabled Medical Pre-operative Airway Assessment. HealthCom (2022)
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)
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)
Daejin Kim, Haobing Liu, Xiaodan Xu, Hongyu Lu, Roger Wayson, Michael O. Rodgers, Randall Guensler
Distributed computing for region-wide line source dispersion modeling. Comput. Aided Civ. Infrastructure Eng. 36 (3) (2021)
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)
Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks. CoRR (2021)
Chao Long, Yanmin Zhu, Haobing Liu, Jiadi Yu
Efficient Feature Interactions Learning with Gated Attention Transformer. WISE (2) (2021)
Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. CoRR (2021)
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)
Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng
Multi-Target Deep Learning for Algal Detection and Classification. CoRR (2020)
Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng
Multi-Target Deep Learning for Algal Detection and Classification. EMBC (2020)
Haobing Liu, Yanmin Zhu, Yanan Xu
Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks. DASFAA (2) (2020)
Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. CIKM (2020)