Can Gao

109 papers A* 6A 1B 3Misc 3Journal 86Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A lightweight 3D anomaly detection method with rotationally invariant features.
Pattern Recognit.
Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, Linlin Shen
2026 J jnl
Average weight margin-based feature selection with three-way decision.
Pattern Recognit.
Can Gao, Jiandong Hu, Jie Zhou, Weiping Ding, Witold Pedrycz
2026 J jnl
Efficient spectral embedding representation approximation for large-scale data clustering.
Pattern Recognit.
Jie Zhou, Xinxiang Zhang, Can Gao, Zhihui Lai, Witold Pedrycz
2026 J jnl
Fuzzy granule kernel density estimation for outlier detection.
Eng. Appl. Artif. Intell.
Shiwang Zhang, Yumin Chen, Can Gao, Jie Zhou, Yiting Lin
2026 J jnl
Improving Unsupervised Ultrasonic Image Anomaly Detection via Frequency-Spatial Feature Filtering and Gaussian Mixture Modeling.
IEEE Trans. Image Process.
Wenjing Zhang, Ke Lu, Jinbao Wang, Hao Liang, Can Gao, Jian Xue
2026 J jnl
PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning.
CoRR
Jiaying Wu, Can Gao, Jinglu Hu, Hui Li, Xiaofeng Cao, Jingcai Guo
2026 J jnl
Spectral Embedding Representation Based on Random Anchor Graph Aggregation.
IEEE Trans. Neural Networks Learn. Syst.
Jie Zhou, Fengkai Li, Can Gao, Weiping Ding, Witold Pedrycz, Guangming Lang
2025 J jnl
A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features.
CoRR
Hanzhe Liang, Jie Zhou, Can Gao, Bingyang Guo, Jinbao Wang, Linlin Shen
2025 J jnl
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor.
CoRR
Haoquan Lu, Hanzhe Liang, Jie Zhang, Chenxi Hu, Jinbao Wang, Can Gao
2025 J jnl
Capped norm based discriminant robust regression learning.
Pattern Recognit.
Ning Liu, Zhihui Lai, Junhong Zhang, Can Gao, Heng Kong
2025 J jnl
EF-RT-DETR: a efficient focused real-time DETR model for pavement distress detection.
J. Real Time Image Process.
Tao Han, Shuainan Hou, Can Gao, Shanyong Xu, Jiale Pang, Hai Gu, Yourui Huang
2025 B conf
Enhance the prior knowledge in Bayesian learning with semantic similarity for few-shot image classification.
IJCNN
Jingyu Chen, Jiaying Wu, Can Gao, Zheng Huang, Zhaoman Zhong, Quan Gan
2025 J jnl
Enhanced Fabric Defect Detection With Feature Contrast Interference Suppression.
IEEE Trans. Instrum. Meas.
Jinbao Wang, Jiayi Cheng, Can Gao, Jie Zhou, Linlin Shen
2025 J jnl
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection.
CoRR
Hanzhe Liang, Aoran Wang, Jie Zhou, Xin Jin, Can Gao, Jinbao Wang
2025 J jnl
Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection.
CoRR
Hanzhe Liang, Jie Zhou, Xuanxin Chen, Tao Dai, Jinbao Wang, Can Gao
2025 J jnl
Fusing fuzzy rough sets and mean shift for anomaly detection.
Int. J. Approx. Reason.
MengYao Liao, Zhiyu Chen, Can Gao, Jie Zhou, Xiaodong Yue
2025 J jnl
Fusing local density and approximate distance for nonparametric outlier detection.
Appl. Soft Comput.
Zhiyu Chen, Can Gao, Jie Zhou, Ying Yu
2025 J jnl
Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls.
IEEE Trans. Knowl. Data Eng.
Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz
2025 J jnl
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls.
CoRR
Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz
2025 J jnl
Granule Margin-Based Feature Selection in Weighted Neighborhood Systems.
IEEE Trans. Cybern.
Can Gao, Jie Zhou, Xizhao Wang, Witold Pedrycz
2025 A* conf
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space.
AAAI
Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang
2025 J jnl
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space.
CoRR
Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang
2025 A* conf
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection.
AAAI
Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang
2025 A* conf
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection.
IJCAI
Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang
2025 J jnl
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection.
CoRR
Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jin-Bao Wang
2025 J jnl
Neural dynamic fluid reconstruction technique for four-dimensional imaging of combustion flame based on deep learning.
Eng. Appl. Artif. Intell.
Fuhao Zhang, Zhiyin Ma, Can Gao, Gang Xun, Qingchun Lei, Xuesong Li
2025 J jnl
Open-Set Fabric Defect Detection With Defect Generation and Transfer.
IEEE Trans. Instrum. Meas.
Can Gao, Xiujian Chen, Jie Zhou, Jinbao Wang, Linlin Shen
2025 B conf
Prior Enhancement Strategy Based on MAP for Few-shot Image Classification.
IJCNN
Zheng Huang, Jiaying Wu, Jingyu Chen, Zhaoman Zhong, Can Gao
2025 J jnl
Reweighted Subspace Clustering Guided by Local and Global Structure Preservation.
IEEE Trans. Cybern.
Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Witold Pedrycz, Ge Yuan
2025 A* conf
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection.
ACM Multimedia
Hanzhe Liang, Jie Zhang, Tao Dai, Linlin Shen, Jinbao Wang, Can Gao
2025 J jnl
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection.
CoRR
Hanzhe Liang, Jie Zhang, Tao Dai, Linlin Shen, Jinbao Wang, Can Gao
2025 J jnl
The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results.
CoRR
Qiuyu Chen, Xin Jin, Yue Song, Xihui Liu, Shuai Yang, Tao Yang, Ziqiang Li, Jianguo Huang, Yuntao Wei, Baao Xie, Nicu Sebe, Wenjun Zeng, Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amir Habibian, Auke J. Wiggers, Masato Kobayashi, Ning Ding, Toru Tamaki, Marzieh Gheisari, Auguste Genovesio, Yuheng Chen, Dingkun Liu, Xinyao Yang, Xinping Xu, Baicheng Chen, Dongrui Wu, Junhao Geng, Lexiang Lv, Jianxin Lin, Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao, Zhangyi Wang, Zongze Li, Bihan Wen, Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen, Baorui Peng, Zhongming Chen, Haoran Jin
2024 J jnl
Analysis of core attribute and approximate reduct based on the three-way decision.
Appl. Soft Comput.
Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
2024 J jnl
FlameGS: Reconstruct flame light field via Gaussian Splatting.
CoRR
Yunhao Shui, Fuhao Zhang, Can Gao, Hao Xue, Zhiyin Ma, Gang Xun, Xuesong Li
2024 J jnl
Fuzzy Clustering Guided by Spectral Rotation and Scaling.
IEEE Trans. Cybern.
Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz
2024 J jnl
Generalized robust linear discriminant analysis for jointly sparse learning.
Appl. Intell.
Yufei Zhu, Zhihui Lai, Can Gao, Heng Kong
2024 J jnl
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection.
CoRR
Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang
2024 J jnl
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study.
CoRR
Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-Nan Zhang, Linlin Shen
2024 J jnl
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
2024 J jnl
Robust Self-expression Learning with Adaptive Noise Perception.
Pattern Recognit.
Yangbo Wang, Jie Zhou, Jianglin Lu, Jun Wan, Can Gao, Qingshui Lin
2024 J jnl
Robust weighted fuzzy margin-based feature selection with three-way decision.
Int. J. Approx. Reason.
Zhenxi Chen, Gong Chen, Can Gao, Jie Zhou, Jiajun Wen
2024 J jnl
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data.
Appl. Soft Comput.
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
2024 A* conf
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.
ACM Multimedia
Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2024 J jnl
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.
CoRR
Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen
2024 J jnl
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
2024 J jnl
Unsupervised fabric defect detection with high-frequency feature mapping.
Multim. Tools Appl.
Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen
2024 J jnl
Weighted Subspace Fuzzy Clustering with Adaptive Projection.
Int. J. Intell. Syst.
Jie Zhou, Chucheng Huang, Can Gao, Yangbo Wang, Xinrui Shen, Xu Wu
2023 J jnl
AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models.
Syst.
Kuan Li, Qianzhi Lian, Can Gao, FuYong Zhang
2023 J jnl
Low-Rank Linear Embedding for Robust Clustering.
IEEE Trans. Knowl. Data Eng.
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
2023 — conf
NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning.
PRCV (8)
Yuanbo Sun, Can Gao
2023 J jnl
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai
2023 J jnl
Rough sets-based tri-trade for partially labeled data.
Appl. Intell.
Ziming Luo, Can Gao, Jie Zhou
2023 — conf
SSC-l
ACPR (3)
Yangbo Wang, Jie Zhou, Qingshui Lin, Jianglin Lu, Can Gao
2023 J jnl
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation.
IET Comput. Vis.
Jintao Luo, Can Gao, Da Wan, Linlin Shen
2023 J jnl
Three-way decision-based co-detection for outliers.
Int. J. Approx. Reason.
Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen
2023 J jnl
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning.
CoRR
Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin
2022 J jnl
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning.
Neurocomputing
Yangbo Wang, Can Gao, Jie Zhou
2022 J jnl
Global structure-guided neighborhood preserving embedding for dimensionality reduction.
Int. J. Mach. Learn. Cybern.
Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu
2022 J jnl
Improved RANSAC Point Cloud Spherical Target Detection and Parameter Estimation Method Based on Principal Curvature Constraint.
Sensors
Qinghua Wu, Jiacheng Liu, Can Gao, Biao Wang, Gaojian Shen, Zhiang Li
2022 — conf
Kernelized Fuzzy Rough Sets-Based Three-Way Feature Selection.
IJCRS
Xingchen Liu, Liuxin Wang, Linchao Pan, Can Gao
2022 J jnl
Parameterized maximum-entropy-based three-way approximate attribute reduction.
Int. J. Approx. Reason.
Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
2022 J jnl
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2022 J jnl
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation.
IEEE Trans. Fuzzy Syst.
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming
2022 J jnl
Semi-supervised shadowed sets for three-way classification on partial labeled data.
Inf. Sci.
Xiaodong Yue, S. W. Liu, Q. Qian, Duoqian Miao, Can Gao
2022 J jnl
Three-way approximate reduct based on information-theoretic measure.
Int. J. Approx. Reason.
Can Gao, Zhicheng Wang, Jie Zhou
2022 J jnl
Three-way decision-based tri-training with entropy minimization.
Inf. Sci.
Linchao Pan, Can Gao, Jie Zhou
2022 — conf
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
ACL (Findings)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2022 J jnl
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
CoRR
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2022 J jnl
Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis.
Appl. Soft Comput.
Jinming Xing, Can Gao, Jie Zhou
2021 J jnl
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels.
CoRR
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021 J jnl
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.
Inf. Sci.
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021 Misc conf
Local Learning Joint with the Adaptive Graph for Subspace Representation.
ISKE
Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai
2021 — conf
Multi-scale Defective Samples Synthesis for Surface Defect Detection.
CCIS
Zirong Liu, Zhihui Lai, Can Gao
2021 J jnl
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning.
Fuzzy Sets Syst.
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
2021 A conf
Progressive Distribution Alignment Based on Label Correction for Unsupervised Domain Adaptation.
ICME
Yong Li, Desheng Li, Yuwu Lu, Can Gao, Wenjing Wang, Jianglin Lu
2021 J jnl
Projected fuzzy C-means clustering with locality preservation.
Pattern Recognit.
Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
2021 J jnl
Robust Face Alignment by Multi-Order High-Precision Hourglass Network.
IEEE Trans. Image Process.
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
2021 J jnl
Robust facial landmark detection by cross-order cross-semantic deep network.
Neural Networks
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
2021 J jnl
Three-way decision with co-training for partially labeled data.
Inf. Sci.
Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
2021 — conf
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
ACL/IJCNLP (1)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2020 J jnl
Multigranulation rough-fuzzy clustering based on shadowed sets.
Inf. Sci.
Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
2020 J jnl
Robust Face Alignment by Multi-order High-precision Hourglass Network.
CoRR
Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
2020 J jnl
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network.
CoRR
Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
2020 J jnl
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks.
CoRR
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2020 A* conf
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.
ACL
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
2020 J jnl
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.
CoRR
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
2020 J jnl
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
CoRR
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2019 J jnl
Constrained shadowed sets and fast optimization algorithm.
Int. J. Intell. Syst.
Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
2019 J jnl
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.
Inf. Sci.
Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
2019 J jnl
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.
Int. J. Approx. Reason.
Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong
2019 J jnl
Remotely Access "My" Smart Home in Private: An Anti-Tracking Authentication and Key Agreement Scheme.
IEEE Access
Qiuyun Lyu, Ning Zheng, Huaping Liu, Can Gao, Si Chen, Junliang Liu
2018 B conf
Feature Selection Ensemble for Symbolic Data Classification with AHP.
ICPR
Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen
2018 J jnl
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.
Knowl. Based Syst.
Can Gao, Zhihui Lai, Jie Zhou, Cairong Zhao, Duoqian Miao
2018 J jnl
Nuclear norm based two-dimensional sparse principal component analysis.
Int. J. Wavelets Multiresolution Inf. Process.
Yudong Chen, Zhihui Lai, Jiajun Wen, Can Gao
2018 J jnl
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.
Knowl. Based Syst.
Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
2018 J jnl
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access
Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
2018 J jnl
Solving Location Problem of Distribution Center Based on Hybrid Particle Swarm Algorithm.
J. Comput.
Can Gao, Yumei Song, Jiajie Shen, YuanYuan Li
2017 — conf
Consistent Iterative Multi-view Transfer Learning for Person Re-identification.
ICCV Workshops
Cairong Zhao, Xuekuan Wang, Yipeng Chen, Can Gao, Wangmeng Zuo, Duoqian Miao
2017 J jnl
一种处理部分标记数据的粗糙集属性约简算法 (Rough Set Attribute Reduction Algorithm for Partially Labeled Data).
计算机科学
Wei Zhang, Duoqian Miao, Can Gao, Feng Li
2016 — conf
Robust Color Invariant Model for Person Re-Identification.
CCBR
Yipeng Chen, Cairong Zhao, Xuekuan Wang, Can Gao
2014 — conf
Co-training Based Attribute Reduction for Partially Labeled Data.
RSKT
Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue
2014 J jnl
Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor.
Sensors
Jingang Wang, Can Gao, Jie Yang
2013 Misc conf
Research on optimization scheme of regression testing.
ICNC
Shiming Sun, Xiuping Hou, Can Gao, Linlin Sun
2013 J jnl
Rough subspace-based clustering ensemble for categorical data.
Soft Comput.
Can Gao, Witold Pedrycz, Duoqian Miao
2013 J jnl
Two-dimensional color uncorrelated discriminant analysis for face recognition.
Neurocomputing
Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang
2012 J jnl
Bayesian rough set model: A further investigation.
Int. J. Approx. Reason.
Hongyun Zhang, Jie Zhou, Duoqian Miao, Can Gao
2011 J jnl
Diverse reduct subspaces based co-training for partially labeled data.
Int. J. Approx. Reason.
Duoqian Miao, Can Gao, Nan Zhang, Zhifei Zhang
2009 Misc conf
Maximum condition entropy based attribute reduction in variable precision rough set model.
GrC
Can Gao, Duoqian Miao, Jie Zhou
2008 — conf
Video measurement of resident-on-resident physical aggression in nursing homes.
VNBA
Datong Chen, Ming-yu Chen, Howard D. Wactlar, Can Gao, Ashok Bharucha