康 昭


副教授,四川省“千人计划”特聘专家, 全球高潜力AI华人青年学者Top100,唐立新优秀学者,四川省科学技术进步一等奖获得者
美国南伊利诺伊大学博士,2017年5月
电子科技大学,计算机科学与工程学院,认知计算与智能决策团队
邮箱: zkang@uestc.edu.cn
GoogleScholar Github

Publications


  1. Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization
    Qian Zhang, Zhao Kang*, Zenglin Xu, Shudong Huangd, Hongguang Fu
    Knowledge-Based Systems 2022
  2. Eliminating Gradient Conflict in Reference-based Line-art Colorization(code here)
    Zekun Li, Zhengyang Geng, Zhao Kang*, Wenyu Chen, Yibo Yang (Undergraduate:Zekun Li)
    ECCV 2022
  3. 面向网络安全治理的用户身份识别技术与挑战
    Guangsheng Zhang, Zhao Kang, Ling Tian
    电子科技大学学报 2022
  4. Log-based Sparse Nonnegative Matrix Factorization for Data Representation
    Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
    Knowledge-Based Systems 2022
  5. 基于转换学习的半监督分类
    Zhao Kang, Liang Liu,Meng Han
    计算机研究与发展 2022 CCF T1期刊
  6. Multi-graph Fusion for Dynamic Graph Convolutional Network,
    Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu
    IEEE Transactions on Neural Networks and Learning Systems 2022 中科院JCR 1区
  7. Scalable Multi-view Clustering with Graph Filtering(code here)
    Liang Liu, Peng Cheng, Guangchun Luo,Zhao Kang*,Yonggang Luo,Sanchu Han
    Neural Computing and Applications 2022
  8. Optimizing Piezoelectric Nanocomposites by High-Throughput Phase-Field Simulation and Machine Learning
    Weixiong Li,Tiannan Yang,Changshu Liu,Yuhui Huang,Chunxu Chen,Hong Pan,Guangzhong Xie,Huiling Tai,Yadong Jiang,Yongjun Wu,Zhao Kang*,Long-Qing Chen,Yuanjie Su,Zijian Hong
    Advanced Science 2022 中科院JCR 1区
  9. Fine-grained Attributed Graph Clustering(code here)
    Zhao Kang, Zhanyu Liu, Shirui Pan, Ling Tian(Undergraduate:Zhanyu Liu)
    SDM 2022
  10. Two-dimensional semi-nonnegative matrix factorization for clustering
    Chong Peng;Zhilu Zhang;Chenglizhao Chen;ZhaoKang;QiangCheng
    Information Sciences 2022
  11. Multi-local feature relation network for few-shot learning
    Li Ren, Guiduo Duan, Tianxi Huang,Zhao Kang
    Neural Computing and Applications 2022
  12. 基于黎曼流形的多视角谱聚类算法 (code here)
    Linke Li, Zhao Kang*, Bo Long(Undergraduate: Linke Li)
    计算机工程 2022
  13. Multi-view Contrastive Graph Clustering(code here)
    Erlin Pan, Zhao Kang*
    NeurIPS 2021 CCF-A类
  14. Graph Fusion Network for text classification
    Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang
    Knowledge-Based Systems 2021
  15. Learning discriminative representation for image classification
    Chong Peng; Yang Liu; Xin Zhang; Zhao Kang; Yongyong Chen; Chenglizhao Chen; Qiang Cheng
    Knowledge-Based Systems 2021
  16. Multi-view Attributed Graph Clustering(code here)
    Zhiping Lin, Zhao Kang*, Lizong Zhang, Ling Tian
    IEEE Transactions on Knowledge and Data Engineering 2021 CCF-A类
  17. Self-supervised Consensus Representation Learning for Attributed Graph(code here)
    Changshu Liu, Liangjian Wen, Zhao Kang*,Guangchun Luo, Ling Tian
    ACM Multimedia 2021 CCF-A类
  18. Smoothed Multi-View Subspace Clustering(code here)
    Chen Peng, Liang Liu, Zhengrui Ma, Zhao Kang*(Undergraduate: Zhengrui Ma)
    International Conference on Neural Computing for Advanced Applications 2021
  19. Pseudo-supervised Deep Subspace Clustering(code here)
    Juncheng Lv, Zhao Kang*, Xiao Lu, Zenglin Xu
    IEEE Transactions on Image Processing 2021 中科院JCR 1区
  20. Graph Filter-based Multi-view Attributed Graph Clustering (code here)
    Zhiping Lin, Zhao Kang*
    IJCAI 2021 CCF-A类
  21. Robust Deep K-Means: An Effective and Simple Method for Data Clustering
    Shudong Huang, Zhao Kang, Zenglin Xu, and Quanhui Liu
    Pattern Recognition 2021
  22. Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view(code here)
    Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu
    IEEE Transactions on Cybernetics 2021 中科院JCR 1区
  23. Multi-view Subspace Clustering via Partition Fusion (code here)
    Juncheng Lv; Zhao Kang*; Boyu Wang; Luping Ji; Zenglin Xu
    Information Sciences 2021
  24. Nonnegative matrix factorization with local similarity learning
    Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
    Information Sciences 2021
  25. Domain Adaptation with Feature and Label Adversarial Networks (code here)
    Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang*, Kun Bai, Kaizhu Huang, Zenglin Xu
    Neurocomputing 2021
  26. Self-Paced Two-dimensional PCA (code here)
    Jiangxin Li, Zhao Kang*, Chong Peng, Wenyu Chen(Undergraduate: jiangxin Li)
    AAAI 2021 CCF-A类
  27. Kernel Two-Dimensional Ridge Regression for Subspace Clustering
    Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
    Pattern Recognition 2021
  28. Structured Graph Learning for Clustering and Semi-supervised Classification(code here)
    Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
    Pattern Recognition 2021
  29. Deep K-Means: A Simple and Effective Method for Data Clustering
    Shudong Huang, Zhao Kang, Zenglin Xu
    International Conference on Neural Computing for Advanced Applications 2020
  30. 基于光滑表示的半监督分类算法(code here)
    Xing Wang, Zhao Kang*(Undergraduate:Xing Wang)
    计算机科学 2020
  31. Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering (code here)
    Zhengrui Ma, Zhao Kang*, Guangchun Luo, Ling Tian, Wenyu Chen(Undergraduate:Zhengrui Ma)
    ACM Multimedia 2020 Accept rate 27.8%CCF-A类
  32. Generalized Locally-linear embedding: A Neural Network Implementation
    Xiao Lu, Zhao Kang*, Jiachun Tang, Shuang Xie and Yuanzhang Su(Undergraduate:Jiachun Tang)
    International Conference on Neural Computing for Advanced Applications 2020
  33. Relation-Guided Representation Learning(code here)
    Zhao Kang#, Xiao Lu#, Jian Liang, Kun Bai, Zenglin Xu
    Neural Networks 2020 中科院JCR 1区
  34. Structure Learning with Similarity Preserving (code here)
    Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu(Undergraduate:Yiwei Lu)
    Neural Networks 2020中科院JCR 1区
  35. On Deep Unsupervised Active Learning
    Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang
    IJCAI 2020 Accept rate 12.6% CCF-A类
  36. Large-scale Multi-view Subspace Clustering in Linear Time (code here)
    Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu(Undergraduate:Wangtao Zhou)
    AAAI 2020 Accept rate 20.6% CCF-A类
  37. Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces
    Boyu Wang, Chi Man Wong, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, C. L. Philip Chen)
    IEEE Transactions on Cybernetics 2020 中科院JCR 1区
  38. Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering
    Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang
    World Wide Web 2020
  39. Regularized Nonnegative Matrix Factorization with Adaptive Local Structure Learning
    Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
    Neurocomputing 2020
  40. Partition Level Multiview Subspace Clustering (code here)
    Zhao Kang; Xinjia Zhao; Chong Peng; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng; Wenyu Chen; Zenglin Xu(Undergraduate:Xinjia Zhao)
    Neural Networks 2020中科院JCR 1区
  41. Single Image Dehazing via Compositional Adversarial Network
    Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim
    IEEE Transactions on Cybernetics 2019中科院JCR 1区
  42. Multi-graph Fusion for Multi-view Spectral Clustering (code here)
    Zhao Kang; Guoxin Shi; Shudong huang; Wenyu Chen; Xiaorong Pu; Joey Tianyi Zhou; Zenglin Xu(Undergraduate:Guoxin Shi)
    Knowledge-Based Systems 2020
  43. Auto-weighted Multi-view Co-clustering with Bipartite Graphs
    Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
    Information Sciences 2020
  44. Robust Principal Component Analysis: A Factorization-Based Approach with Linear Complexity
    Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
    Information Sciences 2019
  45. Latent Multi-view Semi-Supervised Classification (code here)
    Xiaofan Bo#, Zhao Kang#, Zhitong Zhao, Wenyu Chen, Yuanzhang Su(Undergraduate:Xiaofan Bo)
    ACML 2019
  46. Auto-weighted multi-view clustering via deep matrix decomposition
    Shudong Huang, Zhao Kang, Zenglin Xu
    Pattern Recognition 2020
  47. Multiple Partitions Aligned Clustering (code here)
    Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu(Undergraduate:Zipeng Guo)
    IJCAI 2019 Accept rate 17.9%CCF-A类
  48. Clustering with Similarity Preserving (code here)
    Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
    Neurocomputing 2019
  49. RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
    C Peng, C Chen, Z Kang, J Li, Q Cheng
    CVPR 2019 Accept rate 25.2%CCF-A类
  50. Locality-constrained group lasso coding for microvessel image classification
    J Chen, S Zhou, Z Kang, Q Wen
    Pattern Recognition Letters 2019
  51. Similarity Learning via Kernel Preserving Embedding (code here)
    Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu(Undergraduate:Yiwei Lu)
    AAAI 2019 Accept rate 16.2%CCF-A类
  52. Robust Graph Learning from Noisy Data (code here)
    Zhao Kang, Haiqi Pan, Steven C.H. Hoi, Zenglin Xu(Undergraduate:Haiqi Pan)
    IEEE Transactions on Cybernetics 2020中科院JCR 1区
  53. Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN
    Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
    Neurocomputing 2019
  54. Auto-weighted Multi-view Clustering via Kernelized Graph Learning
    Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
    Pattern Recognition 2019
  55. Low-rank Kernel Learning for Graph-based Clustering (code here)
    Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
    Knowledge-Based Systems 2018
  56. Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification (code here)
    Zhao Kang, Xiao Lu; Jinfeng Yi; Zenglin Xu
    IJCAI 2018 Accept rate 20.5%CCF-A类
  57. Robust Graph Learning for Semi-Supervised Classification
    Haiqi Pan; Zhao Kang(Undergraduate:Haiqi Pan)
    International Conference on Intelligent Human-Machine Systems and Cybernetics 2018 Accept rate 20.5%
  58. Self-weighted Multi-View Clustering with Soft Capped Norm
    Shudong Huang; Zhao Kang; Zenglin Xu
    Knowledge-Based Systems 2018
  59. Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations
    Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chone Peng, Mingqing Xiao
    Symmetry 2018
  60. Integrate and Conquer: Double-Sided Two-Dimensional K-Means Via Integrating of Projection and Manifold Construction
    Chong Peng; Zhao Kang; Shuting Cai; Qiang Cheng
    ACM Transactions on Intelligent Systems and Technology 2018
  61. Unified Spectral Clustering with Optimal Graph (code here)
    Zhao Kang; Chong Peng; Qiang Cheng; Zenglin Xu
    AAAI 2018 Accept rate 24.5%CCF-A类
  62. Kernel-driven Similarity Learning (code here)
    Zhao Kang; Chong Peng; Qiang Cheng
    Neurocomputing 2017
  63. Exploiting Nonlinear Relationships for Top-N Recommender Systems
    Zhao Kang; Chong Peng; Ming Yang, Qiang Cheng
    The 8th IEEE International Conference on Big Knowledge 2017 Accept rate 27%
  64. On identifiability of 3-tensors of multilinear rank (1, Lr, Lr)
    Ming Yang, DunRen Che, Wen Liu, Zhao Kang, Chong Peng, Mingqing Xiao, Qiang Cheng
    Big Data and Information Analytics 2016
  65. Image Projection Ridge Regression for Subspace Clustering
    Chong Peng; Zhao Kang; Fei Xu; Yongyong Chen; Qiang Cheng
    IEEE Signal Processing Letters 2017
  66. Subspace Clustering via Variance Regularized Ridge Regression
    Chong Peng; Zhao Kang; Qiang Cheng
    CVPR 2017 Accept rate 29%CCF-A类
  67. Integrating Feature and Graph Learning with Low-Rank Representation
    Chong Peng; Zhao Kang; Qiang Cheng
    Neurocomputing 2017
  68. Clustering with Adaptive Manifold Structure Learning (code here)
    Zhao Kang; Chong Peng; Qiang Cheng
    ICDE 2017 Accept rate 28.9%CCF-A类
  69. Twin Learning for Similarity and Clustering: A Unified Kernel Approach (code here)
    Zhao Kang; Chong Peng; Qiang Cheng
    AAAI 2017 Accept rate 24.6%CCF-A类
  70. Robust Graph Regularized Nonnegative Matrix Factorization for Clustering
    Chong Peng; Zhao Kang; Yunhong Hu; Qiang Cheng
    ACM Transactions on Knowledge Discovery from Data 2017
  71. A Fast Factorization-based Approach to Robust Principal Component Analysis
    Chong Peng; Zhao Kang; Qiang Cheng
    ICDM 2016 Accept rate 19.6%
  72. Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
    Chong Peng; Zhao Kang; Yunhong Hu; Qiang Cheng
    ACM Transactions on Intelligent Systems and Technology 2017
  73. Top-N Recommendation on Graphs (code here)
    Zhao Kang; Chong Peng; Ming Yang, Qiang Cheng
    CIKM 2016 Accept rate 23.2%
  74. RAP: Scalable RPCA for Low-rank Matrix Recovery
    Chong Peng; Zhao Kang; Ming Yang, Qiang Cheng
    CIKM 2016 Accept rate 23.2%
  75. Feature Selection Embedded Subspace Clustering (code here)
    Chong Peng; Zhao Kang; Ming Yang, Qiang Cheng
    IEEE Signal Processing Letters 2016
  76. Top-N recommendation with novel rank approximation (code here)
    Zhao Kang and Qiang Cheng
    SDM 2016 Accept rate 26%
  77. Top-N Recommender System via Matrix Completion (code here)
    Zhao Kang, Chong Peng, and Qiang Cheng
    AAAI 2016 Accept rate 26%CCF-A类
  78. Robust PCA Via Nonconvex Rank Approximation (code here)
    Zhao Kang, Chong Peng, and Qiang Cheng
    ICDM 2015 Accepted for oral presentation, accept rate 68/807=8.4%
  79. Robust Subspace Clustering via Tighter Rank Approximation (code here)
    Zhao Kang, Chong Peng, and Qiang Cheng
    CIKM 2015 Accepted for oral presentation, accept rate 17.98%
  80. Subspace clustering using log-determinant rank approximation (code here)
    Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng
    KDD 2015 Accepted for oral presentation , accept rate 19.4%CCF-A类
  81. Robust Subspace Clustering via Smoothed Rank Approximation (code here)
    Zhao Kang, Chong Peng, and Qiang Cheng
    IEEE Signal Processing Letters 2015
  82. LogDet Rank Minimization with Application to Subspace Clustering
    Zhao Kang, Chong Peng, Jie Cheng and Qiang Cheng
    Computational Intelligence and Neuroscience 2015
  83. High-resolution gamma-ray spectroscopy with a microwave-multiplexed transition-edge sensor array
    Omid Noroozian, John AB Mates, Douglas A Bennett, Justus A Brevik, Joseph W Fowler, Jiansong Gao, Gene C Hilton, Robert D Horansky, Kent D Irwin, Zhao Kang, Daniel R Schmidt, Leila R Vale, Joel N Ullom
    Applied Physics Letters 2013
  84. Neutralino Reconstruction at the LHC from Decay-frame Kinematics
    Zhao Kang, Nicholas Kersting, Sabine Kraml, Are R Raklev, Martin J White
    Eur. Phys. J. C 2010 中科院JCR 1区