Density, distance and energy based clustering algorithm for data aggregation in wireless sensor networks. - Hai Lin; Rong Xie; Lanning Wei (ICCC, 2017)

Simplifying Architecture Search for Graph Neural Network. - Huan Zhao 002; Lanning Wei; Quanming Yao (CIKM (Workshops), 2020)

Pooling Architecture Search for Graph Classification. - Lanning Wei; Huan Zhao 002; Quanming Yao; Zhiqiang He 002 (CIKM, 2021)

Learn Layer-wise Connections in Graph Neural Networks. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002 (CoRR, 2021)

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002 (WWW, 2022)

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (CoRR, 2022)

Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. - Xu Wang; Huan Zhao 002; Lanning Wei; Quanming Yao (CoRR, 2022)

Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (CoRR, 2022)

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (Frontiers Artif. Intell., 2022)

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (WWW, 2023)

Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (CoRR, 2023)

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. - Juzheng Zhang; Lanning Wei; Zhen Xu 007; Quanming Yao (KDD, 2024)

Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. - Lanning Wei; Jun Gao; Huan Zhao 002; Quanming Yao (CoRR, 2024)

Neural Architecture Search for GNN-Based Graph Classification. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002; Quanming Yao (ACM Trans. Inf. Syst., 2024)

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. - Yujie Luo; Xiangyuan Ru; Kangwei Liu; Lin Yuan; Mengshu Sun; Ningyu Zhang 001; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Lanning Wei; Da Zheng; Haofen Wang; et al. (WWW (Companion Volume), 2025)

Searching to extrapolate embedding for out-of-graph node representation learning. - Zhenqian Shen; Shuhan Guo; Yan Wen; Lanning Wei; Wengang Zhang; Yuanhai Luo; Chongwu Wu; Quanming Yao (Neural Networks, 2025)

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey. - Da Zheng; Lun Du; Junwei Su; Yuchen Tian; Yuqi Zhu; Jintian Zhang; Lanning Wei; Ningyu Zhang 001; Huajun Chen (CoRR, 2025)

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science. - Yixin Ou; Yujie Luo; Jingsheng Zheng; Lanning Wei; Shuofei Qiao; Jintian Zhang; Da Zheng; Huajun Chen; Ningyu Zhang 001 (CoRR, 2025)

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. - Xiaohan Zheng; Lanning Wei; Yong Li 008; Quanming Yao (CoRR, 2025)