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2020 – today
- 2025
[j5]Yahui Xue, Huan Deng, Mengnan Lu, Mingjia Chen, Yichao Fu:
Temporal cortex activation reveals emotional multisensory integration in preschoolers: An fNIRS study. NeuroImage 317: 121383 (2025)- [j4]Shuangfeng Tang, Yichao Fu
, Yu Wang, Xiaoyu Tang, Lizhang Zeng, Huan Qin:
Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging. IEEE Trans. Biomed. Eng. 72(7): 2303-2310 (2025) - [j3]Zhiyuan Jin, Xue Li, Yu Wang, Bohan Zhang, Yichao Fu, Huan Qin:
Polarized Microwave-Induced Thermoacoustic Imaging for Detection of Dilated Cardiomyopathy In Vivo. IEEE Trans. Biomed. Eng. 72(12): 3593-3599 (2025) - [c10]Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li, Dong Huang, Zekai Sun, Heming Cui:
FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining. ACL (1) 2025: 3705-3717 - [c9]Yichao Fu, Ke Liu, Shangde Gao, Lai Wei, Te Qiao, Chao Zhang:
A Universal Periodicity Injection Module for Crystal Property Prediction. ICIC (26) 2025: 28-39 - [c8]Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu:
Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models. IJCAI 2025: 9799-9807 - [c7]Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu:
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. IJCNN 2025: 1-8 - [i17]Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu:
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. CoRR abs/2504.14565 (2025) - [i16]Yichao Fu, Rui Ge, Zelei Shao, Zhijie Deng, Hao Zhang:
Scaling Speculative Decoding with Lookahead Reasoning. CoRR abs/2506.19830 (2025) - [i15]Yichao Fu, Xuewei Wang, Yuandong Tian, Jiawei Zhao:
Deep Think with Confidence. CoRR abs/2508.15260 (2025) - [i14]Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen:
Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization. CoRR abs/2512.00748 (2025) - [i13]Lanxiang Hu, Siqi Kou, Yichao Fu, Samyam Rajbhandari, Tajana Rosing, Yuxiong He, Zhijie Deng, Hao Zhang:
Fast and Accurate Causal Parallel Decoding using Jacobi Forcing. CoRR abs/2512.14681 (2025) - 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: 14060-14079 - [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: 57350-57366 - [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)
Coauthor Index
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