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)

Spiking Convolutional Neural Networks for Text Classification. - Changze Lv; Jianhan Xu; Xiaoqing Zheng (ICLR, 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)

Searching for Best Practices in Retrieval-Augmented Generation. - Xiaohua Wang; Zhenghua Wang; Xuan Gao; Feiran Zhang; Yixin Wu; Zhibo Xu; Tianyuan Shi; Zhengyuan Wang; Shizheng Li; Qi Qian; Ruicheng Yin; Changze Lv; et al. (EMNLP, 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)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. - Changze Lv; Yansen Wang; Dongqi Han; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (ICML, 2024)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. - Changze Lv; Dongqi Han; Yansen Wang; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (NeurIPS, 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)

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)

TripTailor: A Real-World Benchmark for Personalized Travel Planning. - Kaimin Wang; Yuanzhe Shen; Changze Lv; Xiaoqing Zheng; Xuanjing Huang 001 (ACL (Findings), 2025)

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation. - Haozhe Xu; Xiaohua Wang; Changze Lv; Xiaoqing Zheng (ACL (1), 2025)

Improving Continual Pre-training Through Seamless Data Packing. - Ruicheng Yin; Xuan Gao; Changze Lv; Xiaohua Wang; Xiaoqing Zheng; 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)

Dendritic Localized Learning: Toward Biologically Plausible Algorithm. - Changze Lv; Jingwen Xu; Yiyang Lu; Xiaohua Wang; Zhenghua Wang; Zhibo Xu; Di Yu; Xin Du; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2025)

Toward Relative Positional Encoding in Spiking Transformers. - Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (CoRR, 2025)

Layer-Specific Scaling of Positional Encodings for Superior Long-Context Modeling. - Zhenghua Wang; Yiran Ding; Changze Lv; Zhibo Xu; Tianlong Li; Tianyuan Shi; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2025)

Explainable Synthetic Image Detection through Diffusion Timestep Ensembling. - Yixin Wu; Feiran Zhang; Tianyuan Shi; Ruicheng Yin; Zhenghua Wang; Zhenliang Gan; Xiaohua Wang; Changze Lv; Xiaoqing Zheng; 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)

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. - Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Wentao Tong; Zhenyu Liao; Xiaoqing Zheng; Shuiguang Deng (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)

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. - Changze Lv; Jiang Zhou; Siyu Long; Lihao Wang; Jiangtao Feng; Dongyu Xue; Yu Pei; Hao Wang; Zherui Zhang; Yuchen Cai; Zhiqiang Gao; Ziyuan Ma; et al. (CoRR, 2025)

Edge Intelligence with Spiking Neural Networks. - Shuiguang Deng; Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Xiaofan Zhao; Wentao Tong; Xiaoqing Zheng; Weijia Fang; Peng Zhao 023; Gang Pan 001; Schahram Dustdar; et al. (CoRR, 2025)

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers. - Zeqi Zheng; Zizheng Zhu; Yingchao Yu; Yanchen Huang; Changze Lv; Junfeng Tang; Zhaofei Yu; Yaochu Jin (CoRR, 2025)

SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration. - Bang Hu; Changze Lv; Mingjie Li; Yunpeng Liu; Xiaoqing Zheng; Fengzhe Zhang; Wei cao; Fan Zhang (CoRR, 2025)