Yichao Fu

According to our database, Yichao Fu authored at least 14 papers between 2023 and 2024.

Collaborative distances:

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

2024

Neuron Sensitivity-Guided Test Case Selection.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui

ACM Trans. Softw. Eng. Methodol., September, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.

Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han

Inf. Sci., 2024

Efficiently Serving LLM Reasoning Programs with Certaindex.

Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Aurick Qiao, Hao Zhang

CoRR, 2024

KA²ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.

Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu

CoRR, 2024

Efficient LLM Scheduling by Learning to Rank.

Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang

CoRR, 2024

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization.

Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin

CoRR, 2024

When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models.

Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unified Matrix Factorization with Dynamic Multi-view Clustering.

Shangde Gao, Ke Liu, Yichao Fu

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

Contrastive Knowledge Amalgamation for Unsupervised Image Classification.

Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han

Proceedings of the Artificial Neural Networks and Machine Learning, 2023