Kang, Zhao

25 publications

IJCAI 2025 Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-Training Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang, Bin Yan, Weidong Xiao

ICML 2025 Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang

NeurIPS 2025 InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan

ICML 2025 Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang

ICLR 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling

AAAI 2025 One Node One Model: Featuring the Missing-Half for Graph Clustering Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen

NeurIPS 2024 Beyond Redundancy: Information-Aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen, Shuo Wang, Zhao Kang

CVPR 2024 Fine-Grained Bipartite Concept Factorization for Clustering Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

AAAI 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering Bingheng Li, Erlin Pan, Zhao Kang

AAAI 2024 Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering Xiaowei Qian, Bingheng Li, Zhao Kang

ICML 2023 Beyond Homophily: Reconstructing Structure for Graph-Agnostic Clustering Erlin Pan, Zhao Kang

ECCV 2022 Eliminating Gradient Conflict in Reference-Based Line-Art Colorization Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang

IJCAI 2021 Graph Filter-Based Multi-View Attributed Graph Clustering Zhiping Lin, Zhao Kang

NeurIPS 2021 Multi-View Contrastive Graph Clustering ErLin Pan, Zhao Kang

AAAI 2021 Self-Paced Two-Dimensional PCA Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

AAAI 2020 Large-Scale Multi-View Subspace Clustering in Linear Time Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu

IJCAI 2020 On Deep Unsupervised Active Learning Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang

ACML 2019 Latent Multi-View Semi-Supervised Classification Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen

IJCAI 2019 Multiple Partitions Aligned Clustering Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu

AAAI 2019 Similarity Learning via Kernel Preserving Embedding Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu

IJCAI 2018 Self-Weighted Multiple Kernel Learning for Graph-Based Clustering and Semi-Supervised Classification Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu

AAAI 2018 Unified Spectral Clustering with Optimal Graph Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu

CVPR 2017 Subspace Clustering via Variance Regularized Ridge Regression Chong Peng, Zhao Kang, Qiang Cheng

AAAI 2017 Twin Learning for Similarity and Clustering: A Unified Kernel Approach Zhao Kang, Chong Peng, Qiang Cheng

AAAI 2016 Top-N Recommender System via Matrix Completion Zhao Kang, Chong Peng, Qiang Cheng