Xin Guo

According to our database, Xin Guo authored at least 29 papers between 2015 and 2026.

Collaborative distances:

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

2026

FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction.

Qi Si, Penglei Wang, Yushuai Wu, Yifeng Jiao, Xuyang Liu, Xin Guo, Yuan Qi, Yuan Cheng

CoRR, May, 2026

HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.

Yuetan Chu, Longxi Zhou, Gongning Luo, Kai Kang, Suyu Dong, Zhongyi Han, Lianming Wu, Xianglin Meng, Changchun Yang, Xin Guo, Yuan Cheng, Yuan Qi, Xin Liu, Dexuan Xie, Yue Li, Ricardo Henao, Xigang Xiao, Shaodong Cao, Gianluca Setti, Zhaowen Qiu, Xin Gao

Nat. Comput. Sci., April, 2026

Project and Generate: Divergence-Free Neural Operators for Incompressible Flows.

Xigui Li, Hongwei Zhang, Ruoxi Jiang, Deshu Chen, Chensen Lin, Limei Han, Yuan Qi, Xin Guo, Yuan Cheng

CoRR, March, 2026

PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation.

Yuchen Liu, Wenbo Zhang, Liling Peng, Yichi Zhang, Yu Fu, Xin Guo, Chao Qu, Yuan Qi, Le Xue

CoRR, March, 2026

2025

Rethinking Intracranial Aneurysm Vessel Segmentation: A Perspective from Computational Fluid Dynamics Applications.

Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang, Xin Guo, Limei Han, Yuxin Li, Fengping Zhu, Yuan Cheng

CoRR, December, 2025

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization.

Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh

CoRR, September, 2025

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification.

Zhaorui Tan, Tan Pan, Kaizhu Huang, Weimiao Yu, Kai Yao, Chen Jiang, Qiu-Feng Wang, Anh Nguyen, Xin Guo, Yuan Cheng, Xi Yang

CoRR, August, 2025

PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer.

Changchun Yang, Haoyang Li, Yushuai Wu, Yilan Zhang, Yifeng Jiao, Yu Zhang, Rihan Huang, Yuan Cheng, Yuan Qi, Xin Guo, Xin Gao

CoRR, July, 2025

Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks.

Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Chen Jiang, Tan Pan, Xingmeng Zhang, Cenyu Liu, Zeyun Miao, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Yichi Zhang, Wenbo Zhang, Fengping Zhu, Limei Han, Yuan Qi, Chensen Lin, Yuan Cheng

CoRR, May, 2025

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data.

Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

CoRR, May, 2025

Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics.

Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Yichi Zhang, Chen Jiang, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Taiwei Zhang, Chensen Lin, Yuan Cheng, Yuan Qi

CoRR, January, 2025

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data.

Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Efficient Network Automatic Relevance Determination.

Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation.

Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Structure-Aware Semantic Discrepancy and Consistency for 3D Medical Image Self-Supervised Learning.

Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

NasalSeg Dataset for Nasal Cavity and Paranasal Sinuses Segmentation from CT Images.

Yichi Zhang, Jing Wang, Tan Pan, Quanlin Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo

Dataset, October, 2024

NasalSeg Dataset for Nasal Cavity and Paranasal Sinuses Segmentation from CT Images.

Yichi Zhang, Jing Wang, Tan Pan, Quanlin Jiang, Jingjie Ge, Xin Guo, Chen Jiang, Jie Lu, Jianning Zhang, Xueling Liu, Mei Tian, Yuan Qi, Yuan Cheng, Chuantao Zuo

Dataset, June, 2024

Personalize to generalize: Towards a universal medical multi-modality generalization through personalization.

Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

CoRR, 2024

Enhancing DETRs Variants through Improved Content Query and Similar Query Aggregation.

Yingying Zhang, Chuanji Shi, Xin Guo, Jiangwei Lao, Jian Wang, Jiaotuan Wang, Jingdong Chen

CoRR, 2024

Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition.

Lixiang Ru, Xin Guo, Lei Yu, Yingying Zhang, Jiangwei Lao, Jian Wang, Jingdong Chen, Yansheng Li, Ming Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

POA: Pre-training Once for Models of All Sizes.

Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction.

Yansheng Li, Tingzhu Wang, Kang Wu, Linlin Wang, Xin Guo, Wenbin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery.

Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation.

Kun Huang, Xin Guo, Meng Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Wall-to-Wall Above-Ground Biomass Estimation with Alos-2 Palsar-2 L-Band SAR Data and GEDI.

Yu Zhao, Xin Guo, Liheng Zhong, Jian Wang, Jingdong Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Uncertainty-guided Learning for Improving Image Manipulation Detection.

Kaixiang Ji, Feng Chen, Xin Guo, Yadong Xu, Jian Wang, Jingdong Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation.

Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors.

Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2015

NMF-based blind source separation using a linear predictive coding error clustering criterion.

Xin Guo, Stefan Uhlich, Yuki Mitsufuji

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015