POSTER: Elastic Reconfiguration for Heterogeneous NoCs with BiNoCHS. - Amirhossein Mirhosseini; Mohammad Sadrosadati; Behnaz Soltani; Hamid Sarbazi-Azad; Thomas F. Wenisch (PACT, 2017)

BiNoCHS: Bimodal Network-on-Chip for CPU-GPU Heterogeneous Systems. - Amirhossein Mirhosseini; Mohammad Sadrosadati; Behnaz Soltani; Hamid Sarbazi-Azad; Thomas F. Wenisch (NOCS, 2017)

A survey on participant selection for federated learning in mobile networks. - Behnaz Soltani; Venus Haghighi; Adnan Mahmood; Quan Z. Sheng; Lina Yao 001 (MobiArch, 2022)

Chapter Three - A power-performance balanced network-on-chip for mixed CPU-GPU systems. - Amirhossein Mirhosseini; Mohammad Sadrosadati; Behnaz Soltani; Hamid Sarbazi-Azad (Adv. Comput., 2022)

GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks. - Venus Haghighi; Behnaz Soltani; Adnan Mahmood; Quan Z. Sheng; Jian Yang 001 (CoRR, 2022)

A Survey of Federated Evaluation in Federated Learning. - Behnaz Soltani; Yipeng Zhou; Venus Haghighi; John C. S. Lui (IJCAI, 2023)

Towards Efficient Decentralized Federated Learning: A Survey. - Saqr Khalil Saeed Thabet; Behnaz Soltani; Yipeng Zhou; Quan Z. Sheng; Shiting Wen (ADMA (2), 2024)

DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. - Behnaz Soltani; Venus Haghighi; Yipeng Zhou; Quan Z. Sheng; Lina Yao 001 (CIKM, 2024)

TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. - Venus Haghighi; Behnaz Soltani; Nasrin Shabani; Jia Wu 001; Yang Zhang 095; Lina Yao 001; Quan Z. Sheng; Jian Yang 001 (ICDM, 2024)

Robust Graph Learning Against Camouflaged Malicious Actors. - Venus Haghighi; Nasrin Shabani; Behnaz Soltani; Lina Yao 001; Quan Z. Sheng; Jian Yang 001; Amin Beheshti (WISE (2), 2024)

Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection. - Venus Haghighi; Behnaz Soltani; Nasrin Shabani; Jia Wu 001; Yang Zhang 095; Lina Yao 001; Jian Yang 001; Quan Z. Sheng (Knowl. Inf. Syst., 2025)