Xinran Xu

According to our database, Xinran Xu authored at least 38 papers between 2014 and 2026.

Collaborative distances:

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

2026

Finite-time distributed quantized <i>H</i> _∞ filtering for multi-sensor systems under hybrid cyber-attacks.

Xinran Xu, Zehua Ye, Dan Zhang

Int. J. Syst. Sci., April, 2026

Prefill-as-a-Service: KVCache of Next-Generation Models Could Go Cross-Datacenter.

Ruoyu Qin, Weiran He, Yaoyu Wang, Zheming Li, Xinran Xu, Yongwei Wu, Weimin Zheng, Mingxing Zhang

CoRR, April, 2026

CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model.

Xinran Xu, Xiuyi Fan

CoRR, March, 2026

Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction.

Xinran Xu, Li Rong Wang, Xiuyi Fan

CoRR, January, 2026

Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions.

Yiran Hu, Huanghai Liu, Chong Wang, Kunran Li, Tien-Hsuan Wu, Haitao Li, Xinran Xu, Siqing Huo, Weihang Su, Ning Zheng, Siyuan Zheng, Qingyao Ai, Yun Liu, Renjun Bian, Yiqun Liu, Charles L. A. Clarke, Weixing Shen, Ben Kao

CoRR, January, 2026

WMKA-Net: A Weighted Multi-Kernel Attention Network for retinal vessel segmentation.

Xinran Xu, Yuliang Ma, Sifu Cai, Ming Meng, Qiang Lv

Biomed. Signal Process. Control., 2026

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents.

Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice.

Yuzhen Shi, Huanghai Liu, Yiran Hu, Gaojie Song, Xinran Xu, Yubo Ma, Tianyi Tang, Li Zhang, Qingjing Chen, Di Feng, Wenbo Lv, Weiheng Wu, Kexin Yang, Sen Yang, Wei Wang, Rongyao Shi, Yuanyang Qiu, Yuemeng Qi, Jingwen Zhang, Xiaoyu Sui, Yifan Chen, Yi Zhang, An Yang, Bowen Yu, Dayiheng Liu, Junyang Lin, Weixing Shen, Bing Zhao, Charles L. A. Clarke, Hu Wei

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation.

Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan, Dingyuan Wang, Hong Liang Tey, Xiuyi Fan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning.

Ruoyu Qin, Weiran He, Weixiao Huang, Yangkun Zhang, Yikai Zhao, Bo Pang, Xinran Xu, Yingdi Shan, Yongwei Wu, Mingxing Zhang

CoRR, November, 2025

Kimi Linear: An Expressive, Efficient Attention Architecture.

Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du

CoRR, October, 2025

Kimi-Audio Technical Report.

KimiTeam, Ding Ding, Zeqian Ju, Yichong Leng, Songxiang Liu, Tong Liu, Zeyu Shang, Kai Shen, Wei Song, Xu Tan, Heyi Tang, Zhengtao Wang, Chu Wei, Yifei Xin, Xinran Xu, Jianwei Yu, Yutao Zhang, Xinyu Zhou, Y. Charles, Jun Chen, Yanru Chen, Yulun Du, Weiran He, Zhenxing Hu, Guokun Lai, Qingcheng Li, Yangyang Liu, Weidong Sun, Jianzhou Wang, Yuzhi Wang, Yuefeng Wu, Yuxin Wu, Dongchao Yang, Hao Yang, Ying Yang, Zhilin Yang, Aoxiong Yin, Ruibin Yuan, Yutong Zhang, Zaida Zhou

CoRR, April, 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, Yibo Liu, Shaowei Liu, Bohong Yin, Weiran He, Han Zhu, Yuzhi Wang, Jianzhou Wang, Mengnan Dong, Zheng Zhang, Yongsheng Kang, Hao Zhang, Xinran Xu, Yutao Zhang, Yuxin Wu, Xinyu Zhou, Zhilin Yang

CoRR, February, 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, Suting Xu, Xinran Xu, Guokun Lai, Yanru Chen, Huabin Zheng, Junjie Yan, Jianlin Su, Yuxin Wu, Neo Y. Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, Jiezhong Qiu

CoRR, February, 2025

The cortical architecture representing the linguistic hierarchy of the conversational speech.

Ruhuiya Aili, Siyuan Zhou, Xinran Xu, Xiangyu He, Chunming Lu

NeuroImage, 2025

SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas.

Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao

J. Imaging, 2025

Efficient Multi-Material Volume Rendering for Realistic Visualization with Complex Transfer Functions.

Chunxiao Xu, Xinran Xu, Jiatian Zhang, Yiheng Cao, Lingxiao Zhao

J. Imaging, 2025

Real-Time Volume-Rendering Image Denoising Based on Spatiotemporal Weighted Kernel Prediction.

Xinran Xu, Chunxiao Xu, Lingxiao Zhao

J. Imaging, 2025

Real-time Neural Denoising for Volume Rendering Using Dual-Input Feature Fusion Network.

Chunxiao Xu, Xinran Xu, Jiatian Zhang, Yufei Liu, Yiheng Cao, Lingxiao Zhao

Comput. Graph. Forum, 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

Multi-Antenna Reference Signal Design for OFDM-ISAC Systems Based on ZCZ Sequences.

Congxi Liu, Liang Xia, Fei Xu, Xinran Xu, Hang Long

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Impacts of Transparency Direction and Level on Trust and Intention to Use in Autonomous Driving.

Yuzhen Wang, Ruifeng Yu, Yueyang Xu, Xinran Xu

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2025

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, Weimin Zheng, Xinran Xu

Proceedings of the 23rd USENIX Conference on File and Storage Technologies, 2025

2024

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving.

Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, Xinran Xu

CoRR, 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, Jun Cheng, Huaicheng Yan

Appl. Math. Comput., 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

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

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, Yiqi Chen, Lingjun Liu, Dan Qiu, Jiaqing Xiong, Bowen Li, Ruonan Huang, Mengmeng Xu, Yang Guo, Wei Liu

Proceedings of the Design, User Experience, and Usability, 2024

2023

Deep Learning Based Feature Selection and Ensemble Learning for Sintering State Recognition.

Xinran Xu, Xiaojun Zhou

Sensors, November, 2023

2022

EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning.

Shuai Liu, Xinran Xu, Zhihao Yang, Xiaohan Zhao, Shichao Liu, Wen Zhang

IEEE ACM Trans. Comput. Biol. 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

Briefings Bioinform., 2022

META-DDIE: predicting drug-drug interaction events with few-shot learning.

Yifan Deng, Yang Qiu, Xinran Xu, Shichao Liu, Zhongfei Zhang, Shanfeng Zhu, Wen Zhang

Briefings Bioinform., 2022

2020

Mitigation measures of collusive interest flooding attacks in named data networking.

Zhijun Wu, Wenzhi Feng, Meng Yue, Xinran Xu, Liang Liu

Comput. Secur., 2020

A multimodal deep learning framework for predicting drug-drug interaction events.

Yifan Deng, Xinran Xu, Yang Qiu, Jingbo Xia, Wen Zhang, Shichao Liu

Bioinform., 2020

The Effects of Recovery Method and Refractive Status on the Recovery Process of Visual Fatigue.

Xinran Xu, Xiangchuan Wang, Ruifeng Yu

Proceedings of the Advances in Physical, Social & Occupational Ergonomics, 2020

2019

Predicting microRNA-disease associations from knowledge graph using tensor decomposition with relational constraints.

Feng Huang, Zhankun Xiong, Guan Zhang, Zhouxin Yu, Xinran Xu, Wen Zhang

CoRR, 2019

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning.

Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, Yanqing Niu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Leveraging functional annotations in genetic risk prediction for human complex diseases.

Yiming Hu, Qiongshi Lu, Ryan Powles, Xinwei Yao, Can Yang, Fang Fang, Xinran Xu, Hongyu Zhao

PLoS Comput. Biol., 2017

2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.

Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014