| 2026 | ACL | Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing. | Tingyu Song, Yanzhao Zhang, Mingxin Li, Zhuoning Guo, Dingkun Long, Pengjun Xie, Siyue Zhang, Yilun Zhao, Shu Wu |
| 2026 | WWW | GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations. | Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu |
| 2025 | PAKDD | Labor Migration Modeling Through Large-Scale Job Query Data. | Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu |
| 2024 | AAAI | A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. | Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu |
| 2024 | KDD | HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. | Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu |
| 2023 | AAAI | Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. | Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 2022 | KDD | Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. | Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong |