Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. - Chong Li; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (ACL/IJCNLP (2), 2021)

Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. - Jianhan Xu; Cenyuan Zhang; Xiaoqing Zheng; Linyang Li; Cho-Jui Hsieh; Kai-Wei Chang; Xuanjing Huang 001 (ACL (Findings), 2022)

Improving the Adversarial Robustness of NLP Models by Information Bottleneck. - Cenyuan Zhang; Xiang Zhou; Yixin Wan; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh (ACL (Findings), 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)

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network. - Tianlong Li; Wenhao Liu; Changze Lv; Jianhan Xu; Cenyuan Zhang; Muling Wu; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2023)

Aligning Large Language Models with Human Preferences through Representation Engineering. - Wenhao Liu; Xiaohua Wang; Muling Wu; Tianlong Li; Changze Lv; Zixuan Ling; Jianhao Zhu; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (ACL (1), 2024)

Advancing Parameter Efficiency in Fine-tuning via Representation Editing. - Muling Wu; Wenhao Liu; Xiaohua Wang; Tianlong Li; Changze Lv; Zixuan Ling; Jianhao Zhu; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (ACL (1), 2024)

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. - Jianhao Zhu; Changze Lv; Xiaohua Wang; Muling Wu; Wenhao Liu; Tianlong Li; Zixuan Ling; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP (Findings), 2024)

Decoding Continuous Character-based Language from Non-invasive Brain Recordings. - Cenyuan Zhang; Xiaoqing Zheng; Ruicheng Yin; Shujie Geng; Jianhan Xu; Xuan Gao; Changze Lv; Zixuan Ling; Xuanjing Huang 001; Miao Cao; Jianfeng Feng (CoRR, 2024)

Towards Biologically Plausible Computing: A Comprehensive Comparison. - Changze Lv; Yufei Gu; Zhengkang Guo; Zhibo Xu; Yixin Wu; Feiran Zhang; Tianyuan Shi; Zhenghua Wang; Ruicheng Yin; Yu Shang; Siqi Zhong; Xiaohua Wang; et al. (CoRR, 2024)

Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement. - Zisu Huang; Xiaohua Wang; Feiran Zhang; Zhibo Xu; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2024)

SpikeCLIP: A contrastive language-image pretrained spiking neural network. - Changze Lv; Tianlong Li; Wenhao Liu; Yufei Gu; Jianhan Xu; Cenyuan Zhang; Muling Wu; Xiaoqing Zheng; Xuanjing Huang 001 (Neural Networks, 2025)