| 2025 | CIKM | STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu |
| 2025 | ICDM | FAP: A Foveation-Inspired Adversarial Purification Pipeline for Enhancing Robustness in Mammography Classification. | Ghazal Lalooha, Wenjie Ruan, Venus Haghighi, Xinshu Li, Quan Z. Sheng |
| 2025 | WWW | Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng |
| 2024 | CIKM | DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. | Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao |
| 2024 | ICDM | TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. | Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang |
| 2024 | WISE | Robust Graph Learning Against Camouflaged Malicious Actors. | Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti |
| 2023 | IJCAI | A Survey of Federated Evaluation in Federated Learning. | Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui |
| 2023 | WSDM | From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors. | Venus Haghighi |