Guo, Xin

31 publications

NeurIPS 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

ICML 2025 Efficient Network Automatic Relevance Determination Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi

WACV 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li

NeurIPS 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

ICCV 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

ICCV 2025 TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng

ICCV 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

AAAI 2024 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu

ECCV 2024 Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction Yansheng Li, Tingzhu Wang, Kang Wu, Linlin Wang, Xin Guo, Wenbin Wang

ICML 2024 On the Asymptotic Distribution of the Minimum Empirical Risk Jacob Westerhout, Trungtin Nguyen, Xin Guo, Hien Duy Nguyen

ECCV 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

CVPR 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

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

CVPR 2023 Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo, Jifeng Dai, Yu Qiao, Xiaowei Hu

CVPR 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

NeurIPS 2023 Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation Kun Huang, Xin Guo, Meng Wang

ICCV 2023 Uncertainty-Guided Learning for Improving Image Manipulation Detection Kaixiang Ji, Feng Chen, Xin Guo, Yadong Xu, Jian Wang, Jingdong Chen

IJCAI 2022 Exploring Fourier Prior for Single Image Rain Removal Xin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha

JMLR 2022 Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon Matteo Basei, Xin Guo, Anran Hu, Yufei Zhang

AAAI 2022 SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

AAAI 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods Xin Guo, Anran Hu, Junzi Zhang

ECCV 2020 Accelerating CNN Training by Pruning Activation Gradients Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen

AAAI 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

JMLR 2020 Distributed Minimum Error Entropy Algorithms Xin Guo, Ting Hu, Qiang Wu

WACV 2020 Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases Xin Guo, Luisa Polania, Bin Zhu, Charles Boncelet, Kenneth Barner

ICML 2020 The Buckley-Osthus Model and the Block Preferential Attachment Model: Statistical Analysis and Application Wenpin Tang, Xin Guo, Fengmin Tang

NeurIPS 2019 Learning Mean-Field Games Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang

JMLR 2017 Distributed Learning with Regularized Least Squares Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou

IJCAI 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

JMLR 2016 Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes Xin Guo, Jun Fan, Ding-Xuan Zhou

CVPR 2013 Robust Object Co-Detection Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang