Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. - Arash Rahnama; Abdullah Alchihabi; Vijay Gupta 001; Panos J. Antsaklis; Fatos T. Yarman-Vural (BIBE, 2017)

A dynamic network representation of fMRI for modeling and analyzing the problem solving task. - Abdullah Alchihabi; Baran B. Kivilicim; Sharlene D. Newman; Fatos T. Yarman-Vural (ISBI, 2018)

Decoding cognitive subtasks of complex problem solving using fMRI signals. - Abdullah Alchihabi; Baran B. Kivilicim; Omer Ekmekci; Sharlene D. Newman; Fatos T. Yarman-Vural (SIU, 2018)

On the Brain Networks of Complex Problem Solving. - Abdullah Alchihabi; Omer Ekmekci; Baran B. Kivilicim; Sharlene D. Newman; Fatos T. Yarman-Vural (CoRR, 2018)

A Two-Tier Distributed Fuzzy Logic Based Protocol for Efficient Data Aggregation in Multihop Wireless Sensor Networks. - Seyyit Alper Sert; Abdullah Alchihabi; Adnan Yazici (IEEE Trans. Fuzzy Syst., 2018)

A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNs. - Abdullah Alchihabi; Ates Dervis; Enver Ever; Fadi Al-Turjman 001 (Wirel. Networks, 2019)

Dual GNNs: Graph Neural Network Learning with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (CoRR, 2021)

Analyzing Complex Problem Solving by Dynamic Brain Networks. - Abdullah Alchihabi; Omer Ekmekci; Baran Baris Kivilcim; Sharlene D. Newman; Fatos T. Yarman-Vural (Frontiers Neuroinformatics, 2021)

Learning Robust Graph Neural Networks with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (AISTATS, 2023)

Efficient Low-Rank GNN Defense Against Structural Attacks. - Abdullah Alchihabi; Qing En; Yuhong Guo (ICKG, 2023)

GDM: Dual Mixup for Graph Classification with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (ECML/PKDD (3), 2023)

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. - Marzi Heidari; Abdullah Alchihabi; Qing En; Yuhong Guo (AISTATS, 2024)

Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. - Abdullah Alchihabi; Marzi Heidari; Yuhong Guo (BMVC, 2024)

Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations. - Abdullah Alchihabi; Hao Yan; Yuhong Guo (CoRR, 2024)

Zero-Shot Action Generalization with Limited Observations. - Abdullah Alchihabi; Hanping Zhang; Yuhong Guo (AISTATS, 2025)

A Unified Framework for Heterogeneous Semi-supervised Learning. - Marzi Heidari; Abdullah Alchihabi; Hao Yan; Yuhong Guo (CVPR, 2025)

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion. - Abdullah Alchihabi; Yuhong Guo (CoRR, 2025)