He, Zhezhi

9 publications

CVPR 2025 VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He

ECCV 2024 BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He

ICML 2024 CLLMs: Consistency Large Language Models Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang

ICML 2024 SpikeZIP-TF: Conversion Is All You Need for Transformer-Based SNN Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He

CVPR 2022 ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

ICCV 2021 Improving Neural Network Efficiency via Post-Training Quantization with Adaptive Floating-Point Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang

CVPR 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan

AAAI 2020 Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks Li Yang, Zhezhi He, Deliang Fan

WACV 2019 Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He, Boqing Gong, Deliang Fan