Venus Haghighi

17 papers A* 3A 3Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions.
Inf.
Asma Musabah Alkalbani, Ahmed Salim Alrawahi, Ahmad Salah, Venus Haghighi, Yang Zhang, Salam Alkindi, Quan Z. Sheng
2025 J jnl
Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection.
Knowl. Inf. Syst.
Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Jian Yang, Quan Z. Sheng
2025 A* conf
FAP: A Foveation-Inspired Adversarial Purification Pipeline for Enhancing Robustness in Mammography Classification.
ICDM
Ghazal Lalooha, Wenjie Ruan, Venus Haghighi, Xinshu Li, Quan Z. Sheng
2025 A conf
STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning.
CIKM
Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu
2025 — conf
Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction.
WWW (Companion Volume)
Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng
2024 J jnl
A Comprehensive Survey on Graph Summarization With Graph Neural Networks.
IEEE Trans. Artif. Intell.
Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
2024 J jnl
Attention-Based Graph Summarization for Large-Scale Information Retrieval.
IEEE Trans. Consumer Electron.
Nasrin Shabani, Amin Beheshti, Alireza Jolfaei, Jia Wu, Venus Haghighi, Maryam Khanian Najafabadi, Jin Foo
2024 A conf
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection.
CIKM
Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao
2024 — conf
Robust Graph Learning Against Camouflaged Malicious Actors.
WISE (2)
Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti
2024 A* conf
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection.
ICDM
Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang
2023 A* conf
A Survey of Federated Evaluation in Federated Learning.
IJCAI
Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui
2023 J jnl
A Survey of Federated Evaluation in Federated Learning.
CoRR
Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui
2023 A conf
From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors.
WSDM
Venus Haghighi
2022 J jnl
A Survey on Participant Selection for Federated Learning in Mobile Networks.
CoRR
Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao
2022 — conf
A survey on participant selection for federated learning in mobile networks.
MobiArch
Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao
2022 J jnl
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks.
CoRR
Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang
2018 J jnl
An Offloading Strategy in Mobile Cloud Computing Considering Energy and Delay Constraints.
IEEE Access
Venus Haghighi, Naghmeh S. Moayedian