Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease. - Richard O. Sinnott; Jun Han; William Hu; Xiaoxiao Ma 002; Kuai Yu (CBMS, 2015)

G-parking functions and tree inversions. - David Perkinson; Qiaoyu Yang; Kuai Yu (Comb., 2017)

Efficient Software Implementation of ZUC Stream Cipher. - Kuai Yu; Naijie Gu; Junjie Su; Qilin Bai (ICVISP, 2018)

Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks. - Kuai Yu; Hakeem Frank; Daniel Wilson (CoRR, 2021)

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell. - Muhan Gao; Taiming Lu; Kuai Yu; Adam Byerly; Daniel Khashabi (EMNLP (Findings), 2024)

Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. - Huiyan Lin; Heng Li 010; Haojin Li; Xiangyang Yu; Kuai Yu; Chenhao Liang; Huazhu Fu; Jiang Liu 001 (OMIA@MICCAI, 2024)

DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs. - Mingkai Chen; Tianhua Han; Cheng Liu 008; Shengwen Liang; Kuai Yu; Lei Dai; Ziming Yuan; Ying Wang 001; Lei Zhang 008; Huawei Li 001; Xiaowei Li 001 (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (CoRR, 2024)

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 (AAAI, 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; et al. (CoRR, 2025)