| 2026 | WWW | ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. | Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu |
| 2026 | WWW | Weighted Graph Clustering via Scale Contraction and Graph Structure Learning. | Haobing Liu, Yinuo Zhang, Tingting Wang, Ruobing Jiang, Yanwei Yu |
| 2026 | WSDM | Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders. | Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu |
| 2025 | CIKM | Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. | Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang |
| 2025 | CIKM | Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification. | Ruobing Jiang, Mengzhe Liu, Haobing Liu, Yanwei Yu |
| 2025 | IJCAI | MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking. | Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu |
| 2024 | DASFAA | Incorporating Higher-order Structural Information for Graph Clustering. | Qiankun Li, Haobing Liu, Ruobing Jiang, Tingting Wang |
| 2024 | HCI | Policy Research in the Metaverse Technologies Enabled Publishing Industry in China (2016-2023). | Xinze Liu, Haobing Liu, Qiongpei Kong, Ning Zhang |
| 2022 | DASFAA | 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 |
| 2022 | HealthCom | Towards Artificial Intelligence-enabled Medical Pre-operative Airway Assessment. | Qinjie Lin, Chin-Boon Chng, Joan Jue-Ying Too, Jinshuo Zhang, Haobing Liu, Theng-Wai Foong, Will Loh, Chee-Kong Chui |
| 2022 | SIGIR | Learning Graph-based Disentangled Representations for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang |
| 2021 | CIKM | Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. | Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu |
| 2021 | DASFAA | Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. | Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li |
| 2021 | WISE | Efficient Feature Interactions Learning with Gated Attention Transformer. | Chao Long, Yanmin Zhu, Haobing Liu, Jiadi Yu |
| 2021 | WSDM | Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. | Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu |
| 2020 | CIKM | Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. | Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai |
| 2020 | DASFAA | Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks. | Haobing Liu, Yanmin Zhu, Yanan Xu |