A Broader Picture of Random-walk Based Graph Embedding. - Zexi Huang; Arlei Silva; Ambuj K. Singh (KDD, 2021)

SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma. - Zexi Huang; Lihua Guo; Xin Yang; Sijuan Huang (CoRR, 2021)

POLE: Polarized Embedding for Signed Networks. - Zexi Huang; Arlei Silva; Ambuj K. Singh (WSDM, 2022)

Graph Neural Diffusion Networks for Semi-supervised Learning. - Wei Ye 001; Zexi Huang; Yunqi Hong; Ambuj K. Singh (CoRR, 2022)

Global Counterfactual Explainer for Graph Neural Networks. - Zexi Huang; Mert Kosan; Sourav Medya; Sayan Ranu; Ambuj K. Singh (WSDM, 2023)

Link Prediction without Graph Neural Networks. - Zexi Huang; Mert Kosan; Arlei Silva; Ambuj K. Singh (CoRR, 2023)

Learning Representations for Information-rich Graphs - Zexi Huang (2023)

Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs. - Yutong Xie 010; Wei Sun; Miaomiao Ren; Shu Chen; Zexi Huang; Xingyou Pan (Expert Syst. Appl., 2023)

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. - Aritra Bhowmick; Mert Kosan; Zexi Huang; Ambuj K. Singh; Sourav Medya (AAAI, 2024)

State Space Reduction for Automated Manufacturing Systems With Unreliable Resources Using Partial Order Technique. - Zexi Huang; Lin Chen; Gaiyun Liu; Kamel Barkaoui (CoDIT, 2024)

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction. - João Mattos; Zexi Huang; Mert Kosan; Ambuj Singh; Arlei Silva (KDD (1), 2025)

A novel radio resource allocation scheme for beam-hopping 6G satellite internet network based on graph mapping and generative adversarial network. - Wenliang Lin; Bohan Zhu; Minwei Liu; Ke Wang 013; Zhongliang Deng; Yicheng Liao; Yang Liu; Zexi Huang; Heng Kang; Yishan He; Shimin Zhong (ICT Express, 2025)