A Novel Multiple Instance Learning Method Based on Extreme Learning Machine. - Jie Wang; Liangjian Cai; Jinzhu Peng; Yuheng Jia (Comput. Intell. Neurosci., 2015)

Multiscale phase congruency analysis for image edge visual saliency detection. - Wei Gao 003; Sam Kwong; Yu Zhou 027; Yuheng Jia; Jia Zhang 002; Wenhui Wu 001 (ICMLC, 2016)

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. - Mengyuan Wu; Sam Kwong; Yuheng Jia; Ke Li 001; Qingfu Zhang 001 (GECCO, 2017)

NSSRF: global network similarity search with subgraph signatures and its applications. - Jiao Zhang 003; Sam Kwong; Yuheng Jia; Ka-Chun Wong (Bioinform., 2017)

Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding. - Wei Gao 003; Sam Kwong; Yuheng Jia (IEEE Trans. Image Process., 2017)

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. - Ran Wang 001; Sam Kwong; Yuheng Jia; Zhiqi Huang; Lang Wu (FUZZ-IEEE, 2018)

Convex Constrained Clustering with Graph-Laplacian Pca. - Yuheng Jia; Sam Kwong; Junhui Hou; Wenhui Wu 001 (ICME, 2018)

Nonnegative matrix factorization with mixed hypergraph regularization for community detection. - Wenhui Wu 001; Sam Kwong; Yu Zhou 027; Yuheng Jia; Wei Gao 003 (Inf. Sci., 2018)

Semi-Supervised Spectral Clustering With Structured Sparsity Regularization. - Yuheng Jia; Sam Kwong; Junhui Hou (IEEE Signal Process. Lett., 2018)

Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization. - Wenhui Wu 001; Yuheng Jia; Sam Kwong; Junhui Hou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Imbalance-aware Pairwise Constraint Propagation. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (ACM Multimedia, 2019)

Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification. - Shujun Yang; Junhui Hou; Yuheng Jia; Shaohui Mei; Qian Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Sparse Bayesian Learning-Based Kernel Poisson Regression. - Yuheng Jia; Sam Kwong; Wenhui Wu 001; Ran Wang 001; Wei Gao 003 (IEEE Trans. Cybern., 2019)

Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization. - Wenhui Wu 001; Sam Kwong; Junhui Hou; Yuheng Jia; Horace Ho-Shing Ip (IEEE Trans. Image Process., 2019)

Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation. - Hua Li 012; Sam Kwong; Chuanbo Chen; Yuheng Jia; Runmin Cong (IEEE Trans. Multim., 2019)

Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries. - Shujun Yang; Junhui Hou; Yuheng Jia; Shaohui Mei; Qian Du 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Non-Negative Transfer Learning With Consistent Inter-Domain Distribution. - Zhihao Peng 002; Yuheng Jia; Junhui Hou (IEEE Signal Process. Lett., 2020)

Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization. - Yuheng Jia; Sam Kwong; Junhui Hou; Wenhui Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2020)

Clustering-Aware Graph Construction: A Joint Learning Perspective. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Applying Exponential Family Distribution to Generalized Extreme Learning Machine. - Yuheng Jia; Sam Kwong; Ran Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Clustering Ensemble Meets Low-rank Tensor Approximation. - Yuheng Jia; Hui Liu 032; Junhui Hou; Qingfu Zhang 001 (AAAI, 2021)

Attention-driven Graph Clustering Network. - Zhihao Peng 002; Hui Liu 032; Yuheng Jia; Junhui Hou (ACM Multimedia, 2021)

No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. - Jingchao Cao; Ran Wang 001; Yuheng Jia; Xinfeng Zhang 001; Shiqi Wang 001; Sam Kwong (Inf. Sci., 2021)

Active k-labelsets ensemble for multi-label classification. - Ran Wang 001; Sam Kwong; Xu Wang 006; Yuheng Jia (Pattern Recognit., 2021)

Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Positive and Negative Label-Driven Nonnegative Matrix Factorization. - Wenhui Wu 001; Yuheng Jia; Shiqi Wang 001; Ran Wang 001; Hongfei Fan; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong (IEEE Trans. Cybern., 2021)

Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. - Hua Li 012; Yuheng Jia; Runmin Cong; Wenhui Wu 001; Sam Tak-Wu Kwong; Chuanbo Chen (IEEE Trans. Ind. Informatics, 2021)

Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification. - Shujun Yang; Junhui Hou; Yuheng Jia; Shaohui Mei; Qian Du 001 (IEEE Trans. Image Process., 2021)

Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA. - Yuheng Jia; Junhui Hou; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2021)

Joint Optimization for Pairwise Constraint Propagation. - Yuheng Jia; Wenhui Wu 001; Ran Wang 001; Junhui Hou; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2021)

Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. - Guanxing Lu; Yuheng Jia; Junhui Hou (CoRR, 2022)

A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery. - Yang He; Yuheng Jia; Liyang Hu; Chengchuan An; Zhenbo Lu; Jingxin Xia (CoRR, 2022)

Graph Augmentation Clustering Network. - Zhihao Peng 002; Hui Liu 032; Yuheng Jia; Junhui Hou (CoRR, 2022)

Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing. - Dengyong Zhang; Taowei Wang; Shujun Yang; Yuheng Jia; Feng Li 065 (IEEE Geosci. Remote. Sens. Lett., 2022)

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. - Shujun Yang; Yu Zhang 006; Yuheng Jia; Weijia Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Self-Supervised Symmetric Nonnegative Matrix Factorization. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Learning Low-Rank Graph With Enhanced Supervision. - Hui Liu 032; Yuheng Jia; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Maximum Entropy Subspace Clustering Network. - Zhihao Peng 002; Yuheng Jia; Hui Liu 032; Junhui Hou; Qingfu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. - Yuheng Jia; Hui Liu 032; Junhui Hou; Sam Kwong; Qingfu Zhang 001 (IEEE Trans. Cybern., 2022)

Adaptive Attribute and Structure Subspace Clustering Network. - Zhihao Peng 002; Hui Liu 032; Yuheng Jia; Junhui Hou (IEEE Trans. Image Process., 2022)

Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. - Ran Wang 001; Jingyu Xiong; Haopeng Ke; Yuheng Jia; Debby Dan Wang (ICMLC, 2023)

Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. - Yuheng Jia; Jiahao Jiang; Yongheng Wang (KDD, 2023)

Complementary Classifier Induced Partial Label Learning. - Yuheng Jia; Chongjie Si; Min-Ling Zhang (KDD, 2023)

Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage. - Yuheng Jia; Fuchao Yang; Yongqiang Dong (NeurIPS, 2023)

Inaccurate Label Distribution Learning. - Zhiqiang Kou; Yuheng Jia; Xin Geng 001 (CoRR, 2023)

Data Augmentation For Label Enhancement. - Zhiqiang Kou; Yuheng Jia; Jing Wang 113; Boyu Shi; Xin Geng 001 (CoRR, 2023)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2023)

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. - Kouzhiqiang Yucheng Xie; Jing Wang 113; Yuheng Jia; Boyu Shi; Xin Geng 001 (CoRR, 2023)

EGRC-Net: Embedding-Induced Graph Refinement Clustering Network. - Zhihao Peng 002; Hui Liu 032; Yuheng Jia; Junhui Hou (IEEE Trans. Image Process., 2023)

Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification. - Mingyuan Xu; Haiyun Guo; Yuheng Jia; Zhitao Dai; Jinqiao Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. - Yuheng Jia; Guanxing Lu; Hui Liu 032; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Deep Attention-Guided Graph Clustering With Dual Self-Supervision. - Zhihao Peng 002; Hui Liu 032; Yuheng Jia; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2023)

MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement. - Gadeng Luosang; Yuheng Jia; Jianyong Wang 002; Yiming Li; Yuan Feng; Mao Chen 008; Zhang Yi 001 (Appl. Intell., 2023)

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. - Yuheng Jia; Xiaorui Peng; Ran Wang 001; Min-Ling Zhang (AAAI, 2024)

Label Distribution Learning from Logical Label. - Yuheng Jia; Jiawei Tang; Jiahao Jiang (IJCAI, 2024)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Jiawei Tang; Yuheng Jia; Boyu Shi; Xin Geng 001 (IJCAI, 2024)

FairMatch: Promoting Partial Label Learning by Unlabeled Samples. - Jiahao Jiang; Yuheng Jia; Hui Liu 032; Junhui Hou (KDD, 2024)

Noisy Label Removal for Partial Multi-Label Learning. - Fuchao Yang; Yuheng Jia; Hui Liu 032; Yongqiang Dong; Junhui Hou (KDD, 2024)

On the Adversarial Robustness of Hierarchical Classification. - Ran Wang 001; Simeng Zeng; Wenhui Wu 001; Yuheng Jia; Wing W. Y. Ng; Xizhao Wang (SMC, 2024)

Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement. - Weili Jiang; Yiming Li; Yuheng Jia; Yuan Feng; Yi Zhang; Jianyong Wang 002; Mao Chen 008 (Comput. Biol. Medicine, 2024)

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (CoRR, 2024)

Inaccurate Label Distribution Learning with Dependency Noise. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2024)

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance. - Zhiqiang Kou; Haoyuan Xuan; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2024)

Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization. - Wenlong Lyu; Yuheng Jia (CoRR, 2024)

Discriminative Low-Rank Representation for HSI Clustering. - Zhixin Li; Bo Han; Yuheng Jia (IEEE Geosci. Remote. Sens. Lett., 2024)

Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification. - Shujun Yang; Yuheng Jia; Yao Ding 010; Xin Wu 001; Danfeng Hong (IEEE Geosci. Remote. Sens. Lett., 2024)

Multi-Label Classification With High-Rank and High-Order Label Correlations. - Chongjie Si; Yuheng Jia; Ran Wang 001; Min-Ling Zhang; Yanghe Feng; Chongxiao Qu (IEEE Trans. Knowl. Data Eng., 2024)

Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation. - Weili Jiang; Yiming Li; Yuheng Jia; Yuan Feng; Zhang Yi 001; Mao Chen 008; Jianyong Wang 002 (Expert Syst. Appl., 2024)

A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness. - Liyang Hu; Yuheng Jia; Weijie Chen; Longhui Wen; Zhirui Ye (IEEE Trans. Intell. Transp. Syst., 2024)

3-D Deployment of UAV-BSs for Effective Communication Coverage. - Qian Zeng; Yuheng Jia; Chuanqi Li; Liyuan Liu (IEEE Internet Things J., 2024)

Ensemble Clustering via Co-Association Matrix Self-Enhancement. - Yuheng Jia; Sirui Tao; Ran Wang 001; Yongheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inaccurate Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Superpixel Graph Contrastive Clustering With Semantic-Invariant Augmentations for Hyperspectral Images. - Jianhan Qi; Yuheng Jia; Hui Liu 032; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Efficient and Robust Freeway Traffic Speed Estimation Under Oblique Grid Using Vehicle Trajectory Data. - Yang He; Chengchuan An; Yuheng Jia; Jiachao Liu; Zhenbo Lu; Jingxin Xia (IEEE Trans. Intell. Transp. Syst., 2024)

An Integrated Intra-View and Inter-View Framework for Multiple Traffic Variable Data Simultaneous Recovery. - Yang He; Yuheng Jia; Yunqing Jia; Chengchuan An; Zhenbo Lu; Jingxin Xia (IEEE Trans. Intell. Transp. Syst., 2024)

AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures. - Xinyin Zhang; Ran Wang 001; Shuyue Chen; Yuheng Jia; Debby Dan Wang (IEEE Trans. Knowl. Data Eng., 2024)

Calibrated Disambiguation for Partial Multi-label Learning. - Zhuoming Li; Yuheng Jia; Mi Yu; Zicong Miao (AAAI, 2025)

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. - Jinghan He; Kuan Zhu; Haiyun Guo; Junfeng Fang; Zhenglin Hua; Yuheng Jia; Ming Tang 001; Tat-Seng Chua; Jinqiao Wang (ACL (1), 2025)

Towards Calibrated Deep Clustering Network. - Yuheng Jia; Jianhong Cheng; Hui Liu 032; Junhui Hou (ICLR, 2025)

ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering. - Zhixin Li; Yuheng Jia (ICLR, 2025)

Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement. - Yuhang Li; Zhuying Li; Yuheng Jia (ICLR, 2025)

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. - Xiaorui Peng; Yuheng Jia; Fuchao Yang; Ran Wang 001; Min-Ling Zhang (ICLR, 2025)

Partial Label Clustering. - Yutong Xie 014; Fuchao Yang; Yuheng Jia (IJCAI, 2025)

Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. - Zhiqiang Kou; Si Qin; Hailin Wang; Jing Wang 113; Ming-Kun Xie; Shuo Chen 003; Yuheng Jia; Tongliang Liu; Masashi Sugiyama; Xin Geng 001 (IJCAI, 2025)

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. - Fuchao Yang; Jianhong Cheng; Hui Liu 032; Yongqiang Dong; Yuheng Jia; Junhui Hou (KDD (1), 2025)

Progressive label enhancement. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (Pattern Recognit., 2025)

Label enhancement by manifold fusion of feature and label spaces. - Jing Wang 113; Zhiqiang Kou; Yuheng Jia; Jianhui Lv; Xin Geng 001 (Pattern Recognit., 2025)

Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation. - Bo Han; Yuheng Jia; Hui Liu 032; Junhui Hou (IEEE Trans. Image Process., 2025)

Instance-Dependent Inaccurate Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Biao Liu; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation. - Zhiqiang Kou; Si Qin; Hailin Wang; Ming-Kun Xie; Shuo Chen 003; Yuheng Jia; Tongliang Liu; Masashi Sugiyama; Xin Geng 001 (CoRR, 2025)

Adaptive Illumination-Invariant Synergistic Feature Integration in a Stratified Granular Framework for Visible-Infrared Re-Identification. - Yuheng Jia; Wesley Armour (CoRR, 2025)

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Feature Statistics with Uncertainty Help Adversarial Robustness. - Ran Wang 001; Xinlei Zhou; Rihao Li; Meng Hu; Wenhui Wu 001; Yuheng Jia (CoRR, 2025)

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. - Zhenglin Hua; Jinghan He; Zijun Yao 002; Tianxu Han; Haiyun Guo; Yuheng Jia; Junfeng Fang (CoRR, 2025)

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. - Yaxin Hou; Yuheng Jia (CoRR, 2025)

Concentration Distribution Learning from Label Distributions. - Jiawei Tang; Yuheng Jia (CoRR, 2025)

Label Distribution Learning by Exploiting Fuzzy Label Correlation. - Jing Wang 113; Zhiqiang Kou; Yuheng Jia; Jianhui Lv; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalization Performance of Ensemble Clustering: From Theory to Algorithm. - Xu Zhang; Haoye Qiu; Weixuan Liang; Hui Liu 032; Junhui Hou; Yuheng Jia (CoRR, 2025)

Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering. - Jianhan Qi; Yuheng Jia; Hui Liu 032; Junhui Hou (CoRR, 2025)

Large Model Guided Semantic Segment Anything for Underwater Consumer Electronics. - Qirui Lin; Hua Li 012; Yuheng Jia (IEEE Trans. Consumer Electron., 2025)

Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective. - Wenlong Lyu; Yuheng Jia; Hui Liu 032; Junhui Hou (CoRR, 2025)

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning. - Yaxin Hou; Bo Han; Yuheng Jia; Hui Liu 032; Junhui Hou (CoRR, 2025)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective. - Zhiqiang Kou; Junyang Chen; Xin-Qiang Cai; Ming-Kun Xie; Biao Liu; Changwei Wang; Lei Feng 006; Yuheng Jia; Gang Niu 001; Masashi Sugiyama; Xin Geng 001 (CoRR, 2025)

Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering. - Xu Zhang; Yuheng Jia; Mofei Song; Ran Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)