| 2026 | AAAI | HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion. | Di Wang, Junping Du, Zhe Xue, Meiyu Liang, Guanhua Ye, Yingxia Shao, Haisheng Li |
| 2026 | AAAI | Rethink Representation Learning for Questionnaire Data. | Guanhua Ye, Jifeng He, Yan Li, Junping Du, Zhe Xue, Yingxia Shao, Meiyu Liang, Yawen Li |
| 2026 | WWW | Multi-Granularity Multi-Modal Knowledge Graph Representation Learning via Subgraph-Aware Adaptive Fusion and Hierarchical Relation Modeling. | Peining Li, Meiyu Liang, Wei Huang, Junping Du, Zhe Xue, Guanhua Ye, Wu Liu, Lei Shi |
| 2025 | AAAI | Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. | Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye |
| 2025 | ADC | Federated Learning for Computing Power Network: A Latency Optimization Scheduling Framework Based on Deep Reinforcement Learning. | Zhonghui Ma, Junping Du, Zhe Xue, Guanhua Ye, Yingxia Shao |
| 2025 | ADC | LHATM: LLM-Guided Hierarchy-Aware Topic Modeling Framework. | Zheng Zhang, Junping Du, Yingxia Shao, Guanhua Ye |
| 2025 | CEC | A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks. | Yawen Li, Xin Lyu, Zequn Wei, Guanhua Ye, Jintong Ren |
| 2025 | ICDE | DATA-WA: Demand-Based Adaptive Task Assignment with Dynamic Worker Availability Windows. | Jinwen Chen, Jiannan Guo, Dazhuo Qiu, Yawen Li, Guanhua Ye, Yan Zhao, Kai Zheng |
| 2025 | ICDE | Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs. | Runhao Zhao, Weixin Zeng, Jiuyang Tang, Yawen Li, Guanhua Ye, Junping Du, Xiang Zhao |
| 2025 | IJCAI | CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. | Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye |
| 2025 | KDD | Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. | Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin |
| 2025 | KDD | Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. | Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | WWW | Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. | Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin |
| 2025 | WWW | On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. | Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2024 | CIKM | Physics-guided Active Sample Reweighting for Urban Flow Prediction. | Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin |
| 2024 | ICDE | Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. | Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin |
| 2024 | KDD | Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. | Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin |
| 2024 | WWW | Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. | Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | SIGIR | Try This Instead: Personalized and Interpretable Substitute Recommendation. | Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang |
| 2005 | MASS | Wireless aware SCTP for ad hoc networks. | Guanhua Ye, Chunyue Liu, Tarek N. Saadawi, Myung J. Lee |
| 2004 | IPCCC | IPCC-SCTP: an enhancement to the standard SCTP to support multi-homing efficiently. | Guanhua Ye, Tarek N. Saadawi, Myung J. Lee |