Kuai Yu

According to our database, Kuai Yu authored at least 17 papers between 2015 and 2026.

Collaborative distances:

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

2026

Personalize Your Large Vision-language Models With In-context Prompt Tuning.

Yanshu Li, Jiaqian Li, Kuai Yu, Xi Xiao, Dongfang Liu, Tianyang Wang, Ruixiang Tang

CoRR, May, 2026

FWeb3: A Practical Incentive-Aware Federated Learning Framework.

Peishen Yan, Shuang Liang, Yang Hua, Linshan Jiang, Kuai Yu, Yulin Sun, Yaozhi Zhang, Tao Song, Ningxin Hu, Xinran Liang, Bingsheng He, Haibing Guan

CoRR, March, 2026

How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors.

Kuai Yu, Naicheng Yu, Han Wang, Rui Yang, Huan Zhang

CoRR, January, 2026

Integrated strategy of serum metabolomics, network pharmacology and experimental validation on revealing the bioactive metabolites and mechanism of Lycium ruthenicum Murr. against colorectal carcinoma.

Kai Deng, Kuai Yu, Yunyao Wei, Faming Wang, Ying Mei, Shuwen Han, Qiang Yan

Comput. Biol. Chem., 2026

2025

LyTimeT: Towards Robust and Interpretable State-Variable Discovery.

Kuai Yu, Crystal Su, Xiang Liu, Judah Goldfeder, Mingyuan Shao, Hod Lipson

CoRR, October, 2025

POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning.

Kuai Yu, Xiaoyu Wu, Peishen Yan, Qingqian Yang, Linshan Jiang, Hao Wang, Yang Hua, Tao Song, Haibing Guan

CoRR, October, 2025

Large Processor Chip Model.

Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuanjing Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao

CoRR, June, 2025

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning.

Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Honghui Ding, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jingchang Chen, Jingyang Yuan, Jinhao Tu, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaichao You, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Tao Yun, Tian Pei, Tianyu Sun, Tao Wang, Wangding Zeng, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang

Nat., 2025

DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs.

Mingkai Chen, Tianhua Han, Cheng Liu, Shengwen Liang, Kuai Yu, Lei Dai, Ziming Yuan, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li

Proceedings of the International Conference for High Performance Computing, 2025

Write-Once, Prove-Once: A Reusable Framework for Secure Boot Verification in Rocq.

Minjie Fan, Qiyu Wu, Kuai Yu, Gaosong Xu, Xiaoyang Wang, Jiwu Shu

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract).

Xiaojian Chen, Kuai Yu, Min-Zhi Jiang, Cihan Xiao, Ziqi Fu, Weiqiang Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis.

Huiyan Lin, Heng Li, Haojin Li, Xiangyang Yu, Kuai Yu, Chenhao Liang, Huazhu Fu, Jiang Liu

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell.

Muhan Gao, Taiming Lu, Kuai Yu, Adam Byerly, Daniel Khashabi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2021

Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks.

Kuai Yu, Hakeem Frank, Daniel Wilson

CoRR, 2021

2018

Efficient Software Implementation of ZUC Stream Cipher.

Kuai Yu, Naijie Gu, Junjie Su, Qilin Bai

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018

2017

G-parking functions and tree inversions.

David Perkinson, Qiaoyu Yang, Kuai Yu

Comb., 2017

2015

Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease.

Richard O. Sinnott, Jun Han, William Hu, Xiaoxiao Ma, Kuai Yu

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015