| 2026 | ACL | What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations. | Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen |
| 2026 | ICPR | SigRef: Verification-Driven Reflection for Faithful Paper-to-Code Development. | Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng |
| 2025 | IJCAI | Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. | Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao |
| 2025 | WWW | OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. | Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen |
| 2024 | KDD | Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. | Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao |
| 2023 | WWW | Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. | Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao |
| 2022 | WWW | Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. | Lanning Wei, Huan Zhao, Zhiqiang He |
| 2021 | CIKM | Pooling Architecture Search for Graph Classification. | Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He |
| 2020 | CIKM | Simplifying Architecture Search for Graph Neural Network. | Huan Zhao, Lanning Wei, Quanming Yao |