Leveraging Similar Users for Personalized Language Modeling with Limited Data. - Charles Welch; Chenxi Gu; Jonathan K. Kummerfeld; Verónica Pérez-Rosas; Rada Mihalcea (ACL (1), 2022)

Watermarking Pre-trained Language Models with Backdooring. - Chenxi Gu; Chengsong Huang; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh (CoRR, 2022)

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. - Chenxi Gu; Xiaoqing Zheng; Jianhan Xu; Muling Wu; Cenyuan Zhang; Chengsong Huang; Hua Cai; Xuanjing Huang 001 (EMNLP (Findings), 2023)

SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT. - Changze Lv; Tianlong Li; Jianhan Xu; Chenxi Gu; Zixuan Ling; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2023)

Operating condition design with a Bayesian optimization approach for pharmaceutical intermediate batch concentration. - Chong Liu; Chengyu Han; Chenxi Gu; Wei Sun; Jingde Wang; Xun Tang (Comput. Chem. Eng., 2024)

Intelligent optimization of e-commerce order packing using deep reinforcement learning with heuristic strategies. - Kaibo Liang; Man Shan; Huwei Liu; Jianglong Yang; Chenxi Gu; Xiangyu Yin (Appl. Soft Comput., 2025)

Enhanced Tube-Based Event-Triggered Stochastic Model Predictive Control with Additive Uncertainties. - Chenxi Gu; Xinli Wang; Kang Li 002; Xiaohong Yin; Shaoyuan Li; Lei Wang 184 (IEEE CAA J. Autom. Sinica, 2025)