SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (PAKDD (1), 2020)

AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. - Jiayu Li 002; Tianyun Zhang; Shengmin Jin; Makan Fardad; Reza Zafarani (ICASSP, 2022)

A Spectral Measure for Network Robustness: Assessment, Design, and Evolution. - Shengmin Jin; Rui Ma; Jiayu Li 002; Sara Eftekharnejad; Reza Zafarani (ICKG, 2022)

A Spectral Representation of Networks: The Path of Subgraphs. - Shengmin Jin; Hao Tian; Jiayu Li 002; Reza Zafarani (KDD, 2022)

Graph sparsification with graph convolutional networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (Int. J. Data Sci. Anal., 2022)

Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization. - Jiayu Li 002; Tianyun Zhang; Shengmin Jin; Reza Zafarani (ICASSP, 2023)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. - Yihong Ma; Ning Yan; Jiayu Li 002; Masood S. Mortazavi; Nitesh V. Chawla (WWW, 2024)

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning. - Jiayu Li 002; Masood Mortazavi; Ning Yan; Yihong Ma; Reza Zafarani (CoRR, 2025)