Gao, Xin

55 publications

TMLR 2026 GGFlow: A Graph Flow Matching Method with Efficient Optimal Transport Xiaoyang Hou, Tian Zhu, Milong Ren, Dongbo Bu, Xin Gao, Chunming Zhang, Shiwei Sun

AAAI 2025 A Trusted Lesion-Assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography Xinghua Ma, Xinyan Fang, Mingye Zou, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li

ICCV 2025 Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance Li Hu, Guangyuan Wang, Zhen Shen, Xin Gao, Dechao Meng, Lian Zhuo, Peng Zhang, Bang Zhang, Liefeng Bo

ICML 2025 CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models Junbo Yin, Chao Zha, Wenjia He, Chencheng Xu, Xin Gao

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

ICLR 2025 DRESSing up LLM: Efficient Stylized Question-Answering via Style Subspace Editing Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang

ICCV 2025 Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection Jiasheng Guo, Xin Gao, Yuxiang Yan, Guanghao Li, Jian Pu

ICLR 2025 Deep Incomplete Multi-View Learning via Cyclic Permutation of VAEs Xin Gao, Jian Pu

NeurIPS 2025 From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models Hao Sun, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin

NeurIPS 2025 GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si

NeurIPS 2025 Learning Spatial-Aware Manipulation Ordering Yuxiang Yan, Zhiyuan Zhou, Xin Gao, Guanghao Li, Shenglin Li, Jiaqi Chen, Qunyan Pu, Jian Pu

ECML-PKDD 2025 Learning Submodular Sequencing from Samples Jing Yuan, Qi Cai, Xin Gao, Shaojie Tang

NeurIPS 2025 Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning Honglin Lin, Qizhi Pei, Zhuoshi Pan, Yu Li, Xin Gao, Juntao Li, Conghui He, Lijun Wu

NeurIPS 2024 CausalStock: Deep End-to-End Causal Discovery for News-Driven Multi-Stock Movement Prediction Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan

CVPR 2024 Efficient Multi-Scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu

CVPRW 2024 FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li

MLJ 2024 Heterogeneous Multi-Task Feature Learning with Mixed ℓ 2,1 Regularization Yuan Zhong, Wei Xu, Xin Gao

NeurIPSW 2024 Improving Molecular Graph Generation with Flow Matching and Optimal Transport Xiaoyang Hou, Tian Zhu, Milong Ren, Dongbo Bu, Xin Gao, Chunming Zhang, Shiwei Sun

ICMLW 2024 Navigating Trustworthiness of Deep Learning in ∆∆g Prediction : Addressing Data Bias, Model Evaluation, and Interpretation Ruochi Zhang, Ningning Chen, Fengfeng Zhou, Xin Gao

ICML 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

ICMLW 2023 Discovering Mental Health Research Topics with Topic Modeling Xin Gao, Cem Sazara

AAAI 2023 Learning Towards Selective Data Augmentation for Dialogue Generation Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan

AAAI 2023 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

CVPRW 2022 Context Attention Network for Skeleton Extraction Zixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li

ICLR 2022 Learning Towards the Largest Margins Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

ICML 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

NeurIPS 2022 Towards Improving Faithfulness in Abstractive Summarization Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang

CVPR 2022 Weakly Supervised High-Fidelity Clothing Model Generation Ruili Feng, Cheng Ma, Chengji Shen, Xin Gao, Zhenjiang Liu, Xiaobo Li, Kairi Ou, Deli Zhao, Zheng-Jun Zha

ICML 2021 Asymmetric Loss Functions for Learning with Noisy Labels Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji

AAAI 2021 GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang

NeurIPSW 2020 A Framework for Differentiable Discovery of Graph Algorithms Hanjun Dai, Xinshi Chen, Yu Li, Xin Gao, Le Song

AAAI 2020 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

AAAI 2020 ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

ICML 2020 Distance Metric Learning with Joint Representation Diversification Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

ICML 2020 Learning to Stop While Learning to Predict Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song

NeurIPS 2020 One-Sample Guided Object Representation Disassembling Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song

ICLR 2020 RNA Secondary Structure Prediction by Learning Unrolled Algorithms Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

IJCAI 2019 An Online Intelligent Visual Interaction System Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao

AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

AAAI 2019 Confidence Weighted Multitask Learning Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

MLHC 2019 Multimodal Machine Learning for Automated ICD Coding Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing

IJCAI 2018 Bandit Online Learning on Graphs via Adaptive Optimization Peng Yang, Peilin Zhao, Xin Gao

IJCAI 2018 Convergence Analysis of Gradient Descent for Eigenvector Computation Zhiqiang Xu, Xin Cao, Xin Gao

AISTATS 2018 On Truly Block Eigensolvers via Riemannian Optimization Zhiqiang Xu, Xin Gao

AAAI 2018 Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

UAI 2017 A Fast Algorithm for Matrix Eigen-Decompositionn Zhiqiang Xu, Yiping Ke, Xin Gao

AAAI 2017 FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen

MLJ 2016 Large Margin Classification with Indefinite Similarities Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang

AAAI 2016 Optimizing Multivariate Performance Measures from Multi-View Data Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao

AAAI 2015 Efficient Active Learning of Halfspaces via Query Synthesis Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang

AAAI 2015 Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang

IJCAI 2015 Social Image Parsing by Cross-Modal Data Refinement Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen

AAAI 2014 Supervised Transfer Sparse Coding Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao

ACML 2014 Support Vector Machines with Indefinite Kernels Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang Zhang