| 2026 | SIGIR | LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation. | Lingyu Mu, Hao Deng, Haibo Xing, Kaican Lin, Zhitong Zhu, Zhengxiao Liu, Zheng Lin, Xiaoyi Zeng, Yu Zhang, Jinxin Hu |
| 2025 | AAAI | Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. | Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang |
| 2025 | AAAI | Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks. | Lingyu Mu, Zhengxiao Liu, Zhitong Zhu, Zheng Lin |
| 2023 | ACL | A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning. | Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, Weiping Wang |
| 2023 | ACL | Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models. | Zhengxiao Liu, Bowen Shen, Zheng Lin, Fali Wang, Weiping Wang |
| 2022 | EMNLP | COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models. | Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang |
| 2021 | DASFAA | MACROBERT: Maximizing Certified Region of BERT to Adversarial Word Substitutions. | Fali Wang, Zheng Lin, Zhengxiao Liu, Mingyu Zheng, Lei Wang, Daren Zha |
| 2020 | ISPA | DE-CO: A Two-Step Spelling Correction Model for Combating Adversarial Typos. | Zhengxiao Liu, Fali Wang, Zheng Lin, Lei Wang, Zhiyi Yin |