An Offloading Strategy in Mobile Cloud Computing Considering Energy and Delay Constraints. - Venus Haghighi; Naghmeh S. Moayedian (IEEE Access, 2018)

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)

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)

From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors. - Venus Haghighi (WSDM, 2023)

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)

A Comprehensive Survey on Graph Summarization With Graph Neural Networks. - Nasrin Shabani; Jia Wu 001; Amin Beheshti; Quan Z. Sheng; Jin Foo; Venus Haghighi; Ambreen Hanif; Maryam Shahabikargar (IEEE Trans. Artif. Intell., 2024)

Attention-Based Graph Summarization for Large-Scale Information Retrieval. - Nasrin Shabani; Amin Beheshti; Alireza Jolfaei; Jia Wu 001; Venus Haghighi; Maryam Khanian Najafabadi; Jin Foo (IEEE Trans. Consumer Electron., 2024)

Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. - Nasrin Shabani; Amin Beheshti; Yuankai Qi; Venus Haghighi; Sahar Moradizeyveh; Quan Z. Sheng (WWW (Companion Volume), 2025)

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)