Lv, Changze

10 publications

ICLR 2026 Biologically Plausible Learning via Bidirectional Spike-Based Distillation Yifei Wang, Zhangyanxun, Changze Lv, Yiyang Lu, Jingwen Xu, Xiaohua Wang, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

ICLR 2026 RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data Zhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Heda Wang, Yao Hu, Changze Lv, Xuanjing Huang, Xiaoqing Zheng

ICLR 2026 SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network Huijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng

IJCAI 2025 Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng

ICML 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

IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng

NeurIPS 2025 Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

NeurIPS 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

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

ICLR 2023 Spiking Convolutional Neural Networks for Text Classification Changze Lv, Jianhan Xu, Xiaoqing Zheng