Yichao Fu

According to our database, Yichao Fu authored at least 21 papers between 2023 and 2025.

Collaborative distances:

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

2025

Deep Think with Confidence.

Yichao Fu, Xuewei Wang, Yuandong Tian, Jiawei Zhao

CoRR, August, 2025

Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging.

Shuangfeng Tang, Yichao Fu, Yu Wang, Xiaoyu Tang, Lizhang Zeng, Huan Qin

IEEE Trans. Biomed. Eng., July, 2025

Scaling Speculative Decoding with Lookahead Reasoning.

Yichao Fu, Rui Ge, Zelei Shao, Zhijie Deng, Hao Zhang

CoRR, June, 2025

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System.

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

CoRR, April, 2025

Temporal cortex activation reveals emotional multisensory integration in preschoolers: An fNIRS study.

Yahui Xue, Huan Deng, Mengnan Lu, Mingjia Chen, Yichao Fu

NeuroImage, 2025

A Universal Periodicity Injection Module for Crystal Property Prediction.

Yichao Fu, Ke Liu, Shangde Gao, Lai Wei, Te Qiao, Chao Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining.

Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li, Dong Huang, Zekai Sun, Heming Cui

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

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 (Celine) Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient LLM Scheduling by Learning to Rank.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 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