C=CONFERENCE, J=JOURNAL, P=PREPRINT, T=THESIS

[P5] Mengyi Deng, Zhihao Li, Hongce Zhang, Wei Wang (2025). Accelerating Graph SAT Solver Navigation through Generative Flow Networks.

[P4] Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan, Zhilu Lai, Wei Wang (2025). Redefining Neural Operators: Kernel Decomposition in  $d+1$ Dimensions.

[P3] Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang (2025). Neural Preconditioning Operator for Effcient PDE Solves. [Arxiv]

[P2] Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang (2024). M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method. [Arxiv]

[C2] Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang (2024). Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries. Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Paper] [Arxiv] [Github]

[C1] Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King (2022). HICF: Hyperbolic Informative Collaborative Filtering. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. [Paper] [Arxiv] [Github]

[P1] Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King (2022). Hyperbolic Graph Neural Networks: A Review of Methods and Applications. [Arxiv]