Haobing Liu

According to our database, Haobing Liu authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Incorporating Higher-order Structural Information for Graph Clustering.

Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang

CoRR, 2024

2023

Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu

ACM Trans. Knowl. Discov. Data, November, 2023

Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation.

Haobing Liu, Jianyu Ding, Yanmin Zhu, Feilong Tang, Jiadi Yu, Ruobing Jiang, Zhongwen Guo

Knowl. Based Syst., November, 2023

Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.

Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu

ACM Trans. Knowl. Discov. Data, May, 2023

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions.

Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu

ACM Trans. Inf. Syst., April, 2023

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis.

Haobing Liu, Yanmin Zhu, Chunyang Wang, Jianyu Ding, Jiadi Yu, Feilong Tang

IEEE Trans. Big Data, April, 2023

Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.

Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang

ACM Trans. Knowl. Discov. Data, January, 2023

2022

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation.

Zhaobo Wang, Yanmin Zhu, Qiaomei Zhang, Haobing Liu, Chunyang Wang, Tong Liu

ACM Trans. Knowl. Discov. Data, 2022

Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks.

Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang

ACM Trans. Knowl. Discov. Data, 2022

MPAN: Multi-parallel attention network for session-based recommendation.

Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu

Neurocomputing, 2022

Deep Meta-learning in Recommendation Systems: A Survey.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Jiadi Yu, Feilong Tang

CoRR, 2022

Learning Graph-based Disentangled Representations for Next POI Recommendation.

Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Artificial Intelligence-enabled Medical Pre-operative Airway Assessment.

Qinjie Lin, Chin-Boon Chng, Joan Too, Jinshuo Zhang, Haobing Liu, Theng-Wai Foong, Will Loh, Chee-Kong Chui

Proceedings of the IEEE International Conference on E-health Networking, 2022

Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.

Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Distributed computing for region-wide line source dispersion modeling.

Daejin Kim, Haobing Liu, Xiaodan Xu, Hongyu Lu, Roger Wayson, Michael O. Rodgers, Randall Guensler

Comput. Aided Civ. Infrastructure Eng., 2021

Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.

Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu

Proceedings of the WSDM '21, 2021

Efficient Feature Interactions Learning with Gated Attention Transformer.

Chao Long, Yanmin Zhu, Haobing Liu, Jiadi Yu

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions.

Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li

Proceedings of the Database Systems for Advanced Applications, 2021

Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.

Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multi-Target Deep Learning for Algal Detection and Classification.

Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks.

Haobing Liu, Yanmin Zhu, Yanan Xu

Proceedings of the Database Systems for Advanced Applications, 2020

Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks.

Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction.

Michael Hunter, Aradhya Biswas, Bhargava R. Chilukuri, Angshuman Guin, Richard Fujimoto, Randall Guensler, Jorge A. Laval, Haobing Liu, Sabra Neal, Philip Pecher, Michael O. Rodgers

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018