Yichao Fu

According to our database, Yichao Fu authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang

CoRR, 2024

2023

Unified Matrix Factorization with Dynamic Multi-view Clustering.

Shangde Gao, Ke Liu, Yichao Fu

CoRR, 2023

Contrastive Knowledge Amalgamation for Unsupervised Image Classification.

Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han

CoRR, 2023

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks.

Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui

CoRR, 2023

Feature Map Testing for Deep Neural Networks.

Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui

CoRR, 2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Bocheng Xiao, Heming Cui

CoRR, 2023

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm.

Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai

CoRR, 2023