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)

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. - Muling Wu; Wenhao Liu; Jianhan Xu; Changze Lv; Zixuan Ling; Tianlong Li; Longtao Huang; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP (Findings), 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)

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)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (CoRR, 2024)

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. - Wenhao Liu; Siyu An; Junru Lu; Muling Wu; Tianlong Li; Xiaohua Wang; Xiaoqing Zheng; Di Yin; Xing Sun 001; Xuanjing Huang 001 (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. - Wenhao Liu; Siyu An; Junru Lu; Muling Wu; Tianlong Li; Xiaohua Wang; Changze Lv; Xiaoqing Zheng; Di Yin; Xing Sun 001; Xuanjing Huang 001 (ACL (Findings), 2025)

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective. - Tianlong Li; Zhenghua Wang; Wenhao Liu; Muling Wu; Shihan Dou; Changze Lv; Xiaohua Wang; Xiaoqing Zheng; Xuanjing Huang 001 (COLING, 2025)

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)

Improving RL Exploration for LLM Reasoning through Retrospective Replay. - Shihan Dou; Muling Wu; Jingwen Xu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data. - Wenhao Liu; Zhengkang Guo; Mingchen Xie; Jingwen Xu; Zisu Huang; Muzhao Tian; Jianhan Xu; Muling Wu; Xiaohua Wang; Changze Lv; He-Da Wang; Hu Yao; et al. (CoRR, 2025)

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning. - Muling Wu; Qi Qian; Wenhao Liu; Xiaohua Wang; Zisu Huang; Di Liang; LI Miao; Shihan Dou; Changze Lv; Zhenghua Wang; Zhibo Xu; Lina Chen; et al. (CoRR, 2025)