Changze Lv

According to our database, Changze Lv authored at least 11 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Muling Wu, Wenhao Liu, Tianlong Li, Jianhao Zhu, Cenyuan Zhang, Zixuan Ling, Xiaoqing Zheng

CoRR, 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

CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.

Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

CoRR, 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, Miao Cao, Jianfeng Feng

CoRR, 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

CoRR, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.

Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

CoRR, 2024

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

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

CoRR, 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

CoRR, 2023

Spiking Convolutional Neural Networks for Text Classification.

Changze Lv, Jianhan Xu, Xiaoqing Zheng

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023