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Yichao Fu
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2020 – today
- 2024
- [j2]Shangde Gao
, Yichao Fu, Ke Liu
, Wei Gao
, Hongxia Xu
, Jian Wu, Yuqiang Han
:
Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. Inf. Sci. 669: 120564 (2024) - [j1]Dong Huang
, Qingwen Bu
, Yichao Fu
, Yuhao Qing
, Xiaofei Xie
, Junjie Chen
, Heming Cui
:
Neuron Sensitivity-Guided Test Case Selection. ACM Trans. Softw. Eng. Methodol. 33(7): 188:1-188:32 (2024) - [c6]Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang:
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. ICML 2024 - [c5]Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin:
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. ICML 2024 - [c4]Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu:
KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation. CARE@MICCAI 2024: 202-214 - [c3]Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang:
Efficient LLM Scheduling by Learning to Rank. NeurIPS 2024 - [c2]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. NeurIPS 2024 - [i12]Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang:
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR abs/2402.02057 (2024) - [i11]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR abs/2406.05981 (2024) - [i10]Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Lin:
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. CoRR abs/2406.07368 (2024) - [i9]Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang:
Efficient LLM Scheduling by Learning to Rank. CoRR abs/2408.15792 (2024) - [i8]Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu:
KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation. CoRR abs/2410.21085 (2024) - [i7]Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Aurick Qiao, Hao Zhang:
Efficiently Serving LLM Reasoning Programs with Certaindex. CoRR abs/2412.20993 (2024) - 2023
- [c1]Shangde Gao
, Yichao Fu, Ke Liu, Yuqiang Han:
Contrastive Knowledge Amalgamation for Unsupervised Image Classification. ICANN (2) 2023: 192-204 - [i6]Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai:
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR abs/2306.06637 (2023) - [i5]Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Bocheng Xiao, Heming Cui:
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing. CoRR abs/2307.11011 (2023) - [i4]Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui:
Feature Map Testing for Deep Neural Networks. CoRR abs/2307.11563 (2023) - [i3]Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui:
FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks. CoRR abs/2307.11565 (2023) - [i2]Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han:
Contrastive Knowledge Amalgamation for Unsupervised Image Classification. CoRR abs/2307.14781 (2023) - [i1]Shangde Gao, Ke Liu, Yichao Fu:
Unified Matrix Factorization with Dynamic Multi-view Clustering. CoRR abs/2308.04661 (2023)
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