FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. - Meng Jiang 001; Peng Cui 001; Fei Wang 001; Xinran Xu; Wenwu Zhu 001; Shiqiang Yang (KDD, 2014)

Leveraging functional annotations in genetic risk prediction for human complex diseases. - Yiming Hu; Qiongshi Lu; Ryan Powles; Xinwei Yao 002; Can Yang 002; Fang Fang; Xinran Xu; Hongyu Zhao 003 (PLoS Comput. Biol., 2017)

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning. - Shuang Zhou 009; Xiang Yue; Xinran Xu; Shichao Liu 002; Wen Zhang 008; Yanqing Niu (BIBM, 2019)

Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints. - Feng Huang 004; Zhankun Xiong; Guan Zhang; Zhouxin Yu; Xinran Xu; Wen Zhang 008 (CoRR, 2019)

The Effects of Recovery Method and Refractive Status on the Recovery Process of Visual Fatigue. - Xinran Xu; Xiangchuan Wang; Ruifeng Yu (AHFE (15), 2020)

A multimodal deep learning framework for predicting drug-drug interaction events. - Yifan Deng; Xinran Xu; Yang Qiu; Jingbo Xia; Wen Zhang 008; Shichao Liu 002 (Bioinform., 2020)

Mitigation measures of collusive interest flooding attacks in named data networking. - Zhijun Wu 001; Wenzhi Feng; Meng Yue; Xinran Xu; Liang Liu 012 (Comput. Secur., 2020)

META-DDIE: predicting drug-drug interaction events with few-shot learning. - Yifan Deng; Yang Qiu; Xinran Xu; Shichao Liu 002; Zhongfei Zhang; Shanfeng Zhu; Wen Zhang 008 (Briefings Bioinform., 2022)

SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations. - Guangzhan Zhang; Menglu Li; Huan Deng; Xinran Xu; Xuan Liu; Wen Zhang 008 (Briefings Bioinform., 2022)

EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning. - Shuai Liu 017; Xinran Xu; Zhihao Yang; Xiaohan Zhao; Shichao Liu 002; Wen Zhang 008 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Deep Learning Based Feature Selection and Ensemble Learning for Sintering State Recognition. - Xinran Xu; Xiaojun Zhou (Sensors, 2023)

Empowering Work-Life Harmony: Introducing a Porsche-Inspired Voice Digital Assistants Tailored for Women. - Fenghua Tang; Yifang Li; Ke Xu; Tingting Guo; Yuchen Li; Jiayao Li; Simin Ren; Zihan Niu; Xingyi Liu; Xinyi An; Yuxin Miao; Xinran Xu; et al. (HCI (33), 2024)

Fully Automated CTC Detection, Segmentation and Classification for Multi-channel IF Imaging. - Evan Schwab; Bharat Annaldas; Nisha Ramesh; Anna Lundberg; Vishal Shelke; Xinran Xu; Cole Gilbertson; Jiyun Byun; Ernest T. Lam (MOVI@MICCAI, 2024)

Distributed finite-time secure filtering for T-S fuzzy systems under hybrid cyber-attacks: Application to tunnel diode circuits. - Zehua Ye; Xinran Xu; Dan Zhang 001; Jun Cheng 004; Huaicheng Yan 001 (Appl. Math. Comput., 2024)

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving. - Ruoyu Qin; Zheming Li; Weiran He; Mingxing Zhang; Yongwei Wu 001; Weimin Zheng; Xinran Xu (CoRR, 2024)

Mooncake: Trading More Storage for Less Computation - A KVCache-centric Architecture for Serving LLM Chatbot. - Ruoyu Qin; Zheming Li; Weiran He; Jialei Cui; Feng Ren; Mingxing Zhang; Yongwei Wu 001; Weimin Zheng; Xinran Xu (FAST, 2025)

Impacts of Transparency Direction and Level on Trust and Intention to Use in Autonomous Driving. - Yuzhen Wang; Ruifeng Yu; Yueyang Xu; Xinran Xu (HCI (53), 2025)

Research on Speech Enhancement Translation and Mel-Spectrogram Mapping Method for the Deaf Based on Pix2PixGANs. - Shaoting Zeng; Xinran Xu; Xinyu Chi; Yuqing Liu; Huiting Yu; Feng Zou (IEEE Access, 2025)

The cortical architecture representing the linguistic hierarchy of the conversational speech. - Ruhuiya Aili; Siyuan Zhou; Xinran Xu; Xiangyu He; Chunming Lu (NeuroImage, 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

MoBA: Mixture of Block Attention for Long-Context LLMs. - Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; et al. (CoRR, 2025)

Muon is Scalable for LLM Training. - Jingyuan Liu; Jianlin Su; Xingcheng Yao; Zhejun Jiang; Guokun Lai; Yulun Du; Yidao Qin; Weixin Xu; Enzhe Lu; Junjie Yan; Yanru Chen; Huabin Zheng; et al. (CoRR, 2025)

WMKA-Net: A Weighted Multi-Kernel Attention NetworkMethod for Retinal Vessel Segmentation. - Xinran Xu; Yuliang Ma; Sifu Cai (CoRR, 2025)

Kimi-Audio Technical Report. - KimiTeam; Ding Ding; Zeqian Ju; Yichong Leng; Songxiang Liu; Tong Liu; Zeyu Shang; Kai Shen; Wei Song; Xu Tan 003; Heyi Tang; Zhengtao Wang; et al. (CoRR, 2025)