| 2026 | AAAI | Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering. | Ao Shen, Ruizhang Huang, Jingjing Xue, Ruina Bai |
| 2026 | ACL | OSCR-Attack: One-Shot Character Level Attacks through Self-Optimizing Continuous Relaxation. | Lingyi Kong, Zhuo Liu, Zhanghao Hu, Qilong Qiu, Yutao Yang, Jingjing Xue, Zheng Wang, Lin Gui, Feiping Nie |
| 2025 | AAAI | Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. | Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue |
| 2025 | AAAI | Tensorized Label Learning Based Fast Fuzzy Clustering. | Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang |
| 2025 | ICASSP | Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity. | Fangyuan Xie, Lin Zhao, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li |
| 2025 | ICDE | Learnable Sparse Customization in Heterogeneous Edge Computing. | Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang |
| 2025 | ICDM | Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning. | Yuxuan Liu, Quanxue Gao, Jingjing Xue, Jing Li, Cheng Deng |
| 2025 | ICDM | Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression. | Guangyu Yang, Yu Duan, Quanxue Gao, Jingjing Xue, Xuhong Dong |
| 2024 | CIKM | Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. | Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu |