| 2025 | ACL | PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence. | Yunxiao Shi, Wujiang Xu, Zeqi Zhang, Xing Zi, Qiang Wu, Min Xu |
| 2023 | IJCNN | Robust Deep Learning Models against Semantic-Preserving Adversarial Attack. | Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao |
| 2022 | IJCNN | Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. | Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao |
| 2021 | ICANN | Fairer Machine Learning Through Multi-objective Evolutionary Learning. | Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao |
| 2021 | PERCOM | Trust and Trustworthiness: What They Are and How to Achieve Them. | Jinghui Li, Bifei Mao, Zhizhang Liang, Zeqi Zhang, Qiushi Lin, Xin Yao |
| 2021 | PRICAI | Fusion Graph Convolutional Collaborative Filtering. | Zeqi Zhang, Ying Liu, Fengli Sun |
| 2017 | WCNC | Optimal Satellite Scheduling with Critical Node Analysis. | Zeqi Zhang, Chunxiao Jiang, Song Guo, Zuyao Ni, Yong Ren |
| 2016 | WCNC | Optimal protection resource allocation: A perspective of network science. | Zeqi Zhang, Chunxiao Jiang, Yong Ren |