Zhu, Xiaofeng

48 publications

ICML 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu

IJCAI 2025 Graph Embedded Contrastive Learning for Multi-View Clustering Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu

ICLR 2025 HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

IJCAI 2025 MCD-CLIP: Multi-View Chest Disease Diagnosis with Disentangled CLIP Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu

IJCAI 2025 Meta Label Correction with Generalization Regularizer Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu

AAAI 2025 Multiplex Graph Representation Learning with Homophily and Consistency Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu

ICML 2025 Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Fangwen Wu, Lechao Cheng, Shengeng Tang, Xiaofeng Zhu, Chaowei Fang, Dingwen Zhang, Meng Wang

AAAI 2025 Noisy Node Classification by Bi-Level Optimization Based Multi-Teacher Distillation Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu

ICML 2025 Rethinking Chain-of-Thought from the Perspective of Self-Training Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng

ICCV 2025 Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation Jie Xu, Na Zhao, Gang Niu, Masashi Sugiyama, Xiaofeng Zhu

IJCAI 2025 Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu

CVPR 2025 Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, Xiaofeng Zhu

ICCV 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

ICLR 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong, Jinhao Duan, RuiPeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu

IJCAI 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu

CVPR 2024 Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu

IJCAI 2024 Multiplex Graph Representation Learning via Bi-Level Optimization Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu

ICML 2024 On Which Nodes Does GCN Fail? Enhancing GCN from the Node Perspective Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu

NeurIPS 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

ICLR 2024 Self-Supervised Heterogeneous Graph Learning: A Homophily and Heterogeneity View Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

AAAI 2024 Self-Training Based Few-Shot Node Classification by Knowledge Distillation Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

IJCAI 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu

IJCAI 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu

ICML 2023 A Universal Unbiased Method for Classification from Aggregate Observations Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen

ICML 2023 Disentangled Multiplex Graph Representation Learning Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

AAAI 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

AAAI 2023 Multiplex Graph Representation Learning via Common and Private Information Mining Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

NeurIPS 2023 Self-Weighted Contrastive Learning Among Multiple Views for Mitigating Representation Degeneration Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

IJCAI 2023 Totally Dynamic Hypergraph Neural Networks Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

AAAI 2022 Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

IJCAI 2022 Information Augmentation for Few-Shot Node Classification Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu

CVPR 2022 Multi-Level Feature Learning for Contrastive Multi-View Clustering Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He

IJCAI 2022 Multi-View Unsupervised Graph Representation Learning Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu

AAAI 2022 Simple Unsupervised Graph Representation Learning Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

AAAI 2021 Multi-Scale Graph Fusion for Co-Saliency Detection Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu

ICCV 2021 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

IJCAI 2020 Multi-Graph Fusion for Functional Neuroimaging Biomarker Detection Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu

IJCAI 2019 Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information Xiaofeng Zhu

AAAI 2018 Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity Xiaofeng Zhu, Hongming Li, Yong Fan

IJCAI 2018 Robust Feature Selection on Incomplete Data Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang

IJCAI 2018 Robust Graph Dimensionality Reduction Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang

IJCAI 2018 Robust Multi-View Learning via Half-Quadratic Minimization Yonghua Zhu, Xiaofeng Zhu, Wei Zheng

IJCAI 2017 Adaptive Hypergraph Learning for Unsupervised Feature Selection Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

AAAI 2017 One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

CVPR 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen

AAAI 2007 Cost-Sensitive Imputing Missing Values with Ordering Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang

AAAI 2007 Measuring the Uncertainty of Differences for Contrasting Groups Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang