Contrastive Knowledge Amalgamation for Unsupervised Image Classification. - Shangde Gao; Yichao Fu; Ke Liu 012; Yuqiang Han (ICANN (2), 2023)

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. - Wensong Bai; Chao Zhang 029; Yichao Fu; Lingwei Peng; Hui Qian 001; Bin Dai (CoRR, 2023)

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Bocheng Xiao; Heming Cui (CoRR, 2023)

Feature Map Testing for Deep Neural Networks. - Dong Huang 005; Qingwen Bu; Yahao Qing; Yichao Fu; Heming Cui (CoRR, 2023)

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks. - Dong Huang 005; Qingwen Bu; Yahao Qing; Yichao Fu; Heming Cui (CoRR, 2023)

Unified Matrix Factorization with Dynamic Multi-view Clustering. - Shangde Gao; Ke Liu 012; Yichao Fu (CoRR, 2023)

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. - Yichao Fu; Peter Bailis; Ion Stoica; Hao Zhang 025 (ICML, 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 (ICML, 2024)

KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation. - Shangde Gao; Yichao Fu; Ke Liu 012; Hongxia Xu; Jian Wu 001 (CARE@MICCAI, 2024)

Efficient LLM Scheduling by Learning to Rank. - Yichao Fu; Siqi Zhu; Runlong Su; Aurick Qiao; Ion Stoica; Hao Zhang 025 (NeurIPS, 2024)

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. - Haoran You; Yipin Guo; Yichao Fu; Wei Zhou; Huihong Shi; Xiaofan Zhang 001; Souvik Kundu 009; Amir Yazdanbakhsh; Yingyan (Celine) Lin (NeurIPS, 2024)

Efficiently Serving LLM Reasoning Programs with Certaindex. - Yichao Fu; Junda Chen; Siqi Zhu; Zheyu Fu; Zhongdongming Dai; Aurick Qiao; Hao Zhang 025 (CoRR, 2024)

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. - Shangde Gao; Yichao Fu; Ke Liu 012; Wei Gao 001; Hongxia Xu; Jian Wu 001; Yuqiang Han (Inf. Sci., 2024)

Neuron Sensitivity-Guided Test Case Selection. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Xiaofei Xie; Junjie Chen 003; Heming Cui (ACM Trans. Softw. Eng. Methodol., 2024)

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining. - Guichao Zhu; Lintian Lei; Yuhao Qing; Yichao Fu; Fanxin Li; Dong Huang 005; Zekai Sun; Heming Cui (ACL (1), 2025)

A Universal Periodicity Injection Module for Crystal Property Prediction. - Yichao Fu; Ke Liu 012; Shangde Gao; Lai Wei; Te Qiao; Chao Zhang (ICIC (26), 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)

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. - Shangde Gao; Ke Liu 012; Yichao Fu; Hongxia Xu; Jian Wu 001 (CoRR, 2025)

Scaling Speculative Decoding with Lookahead Reasoning. - Yichao Fu; Rui Ge 008; Zelei Shao; Zhijie Deng; Hao Zhang (CoRR, 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., 2025)

Deep Think with Confidence. - Yichao Fu; Xuewei Wang; Yuandong Tian; Jiawei Zhao (CoRR, 2025)