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Journal Articles
- 2024
[j45]Weili Jiang, Yiming Li, Yuheng Jia
, Yuan Feng, Yi Zhang, Jianyong Wang, Mao Chen:
Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement. Comput. Biol. Medicine 181: 109045 (2024)- [j44]Weili Jiang, Yiming Li, Yuheng Jia, Yuan Feng, Zhang Yi, Mao Chen, Jianyong Wang:
Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation. Expert Syst. Appl. 238(Part C): 121905 (2024) - [j43]Qian Zeng, Yuheng Jia, Chuanqi Li, Liyuan Liu:
3-D Deployment of UAV-BSs for Effective Communication Coverage. IEEE Internet Things J. 11(14): 25162-25172 (2024) - [j42]Zhixin Li, Bo Han, Yuheng Jia:
Discriminative Low-Rank Representation for HSI Clustering. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j41]Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong:
Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j40]Liyang Hu, Yuheng Jia, Weijie Chen, Longhui Wen, Zhirui Ye:
A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness. IEEE Trans. Intell. Transp. Syst. 25(3): 2558-2572 (2024) - [j39]Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang:
Ensemble Clustering via Co-Association Matrix Self-Enhancement. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11168-11179 (2024) - 2023
- [j38]Luosang Gadeng, Yuheng Jia, Jianyong Wang, Yiming Li, Yuan Feng, Mao Chen, Zhang Yi:
MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement. Appl. Intell. 53(22): 27428-27439 (2023) - [j37]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Deep Attention-Guided Graph Clustering With Dual Self-Supervision. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3296-3307 (2023) - [j36]Yuheng Jia, Guanxing Lu, Hui Liu, Junhui Hou:
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3455-3461 (2023) - [j35]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
EGRC-Net: Embedding-Induced Graph Refinement Clustering Network. IEEE Trans. Image Process. 32: 6457-6468 (2023) - [j34]Mingyuan Xu, Haiyun Guo, Yuheng Jia, Zhitao Dai, Jinqiao Wang:
Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification. IEEE Trans. Intell. Transp. Syst. 24(3): 3395-3406 (2023) - 2022
- [j33]Dengyong Zhang, Taowei Wang, Shujun Yang, Yuheng Jia, Feng Li:
Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j32]Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang:
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7741-7754 (2022) - [j31]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2013-2024 (2022) - [j30]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2199-2210 (2022) - [j29]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2501-2506 (2022) - [j28]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4526-4537 (2022) - [j27]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. 52(8): 7919-7930 (2022) - [j26]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Adaptive Attribute and Structure Subspace Clustering Network. IEEE Trans. Image Process. 31: 3430-3439 (2022) - 2021
- [j25]Jingchao Cao, Ran Wang, Yuheng Jia, Xinfeng Zhang, Shiqi Wang, Sam Kwong:
No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. Inf. Sci. 574: 640-652 (2021) - [j24]Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia:
Active k-labelsets ensemble for multi-label classification. Pattern Recognit. 109: 107583 (2021) - [j23]Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong:
Positive and Negative Label-Driven Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2698-2710 (2021) - [j22]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4784-4797 (2021) - [j21]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization. IEEE Trans. Cybern. 51(5): 2550-2562 (2021) - [j20]Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Tak-Wu Kwong, Chuanbo Chen:
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. IEEE Trans. Ind. Informatics 17(11): 7501-7512 (2021) - [j19]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification. IEEE Trans. Image Process. 30: 8823-8835 (2021) - [j18]Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong:
Joint Optimization for Pairwise Constraint Propagation. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3168-3180 (2021) - [j17]Yuheng Jia, Junhui Hou, Sam Kwong:
Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3985-3997 (2021) - 2020
- [j16]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries. IEEE Geosci. Remote. Sens. Lett. 17(9): 1598-1602 (2020) - [j15]Zhihao Peng, Yuheng Jia, Junhui Hou:
Non-Negative Transfer Learning With Consistent Inter-Domain Distribution. IEEE Signal Process. Lett. 27: 1720-1724 (2020) - [j14]Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu:
Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2510-2521 (2020) - [j13]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5575-5587 (2020) - [j12]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Clustering-Aware Graph Construction: A Joint Learning Perspective. IEEE Trans. Signal Inf. Process. over Networks 6: 357-370 (2020) - [j11]Yuheng Jia, Sam Kwong, Ran Wang:
Applying Exponential Family Distribution to Generalized Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1794-1804 (2020) - 2019
- [j10]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(3): 1000-1011 (2019) - [j9]Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao:
Sparse Bayesian Learning-Based Kernel Poisson Regression. IEEE Trans. Cybern. 49(1): 56-68 (2019) - [j8]Wenhui Wu, Sam Kwong, Junhui Hou, Yuheng Jia, Horace Ho-Shing Ip:
Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization. IEEE Trans. Image Process. 28(8): 3836-3847 (2019) - [j7]Hua Li, Sam Kwong, Chuanbo Chen, Yuheng Jia, Runmin Cong:
Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation. IEEE Trans. Multim. 21(10): 2625-2637 (2019) - 2018
- [j6]Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao:
Nonnegative matrix factorization with mixed hypergraph regularization for community detection. Inf. Sci. 435: 263-281 (2018) - [j5]Yuheng Jia, Sam Kwong, Junhui Hou:
Semi-Supervised Spectral Clustering With Structured Sparsity Regularization. IEEE Signal Process. Lett. 25(3): 403-407 (2018) - [j4]Wenhui Wu, Yuheng Jia, Sam Kwong, Junhui Hou:
Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6348-6361 (2018) - 2017
- [j3]Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong:
NSSRF: global network similarity search with subgraph signatures and its applications. Bioinform. 33(11): 1696-1702 (2017) - [j2]Wei Gao, Sam Kwong, Yuheng Jia:
Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding. IEEE Trans. Image Process. 26(12): 6074-6089 (2017) - 2015
- [j1]Jie Wang, Liangjian Cai, Jinzhu Peng, Yuheng Jia:
A Novel Multiple Instance Learning Method Based on Extreme Learning Machine. Comput. Intell. Neurosci. 2015: 405890:1-405890:6 (2015)
Conference and Workshop Papers
- 2024
- [c16]Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang:
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI 2024: 12857-12865 - [c15]Yuheng Jia, Jiawei Tang, Jiahao Jiang:
Label Distribution Learning from Logical Label. IJCAI 2024: 4228-4236 - [c14]Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng:
Exploiting Multi-Label Correlation in Label Distribution Learning. IJCAI 2024: 4326-4334 - [c13]Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou:
FairMatch: Promoting Partial Label Learning by Unlabeled Samples. KDD 2024: 1269-1278 - [c12]Fuchao Yang, Yuheng Jia, Hui Liu, Yongqiang Dong, Junhui Hou:
Noisy Label Removal for Partial Multi-Label Learning. KDD 2024: 3724-3735 - 2023
- [c11]Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang:
Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. ICMLC 2023: 43-49 - [c10]Yuheng Jia, Jiahao Jiang, Yongheng Wang:
Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. KDD 2023: 964-973 - [c9]Yuheng Jia, Chongjie Si, Min-Ling Zhang:
Complementary Classifier Induced Partial Label Learning. KDD 2023: 974-983 - [c8]Yuheng Jia, Fuchao Yang, Yongqiang Dong:
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage. NeurIPS 2023 - 2021
- [c7]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. AAAI 2021: 7970-7978 - [c6]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Attention-driven Graph Clustering Network. ACM Multimedia 2021: 935-943 - 2019
- [c5]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Imbalance-aware Pairwise Constraint Propagation. ACM Multimedia 2019: 1605-1613 - 2018
- [c4]Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu:
Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. FUZZ-IEEE 2018: 1-7 - [c3]Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu:
Convex Constrained Clustering with Graph-Laplacian Pca. ICME 2018: 1-6 - 2017
- [c2]Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang:
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO 2017: 641-648 - 2016
- [c1]Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu:
Multiscale phase congruency analysis for image edge visual saliency detection. ICMLC 2016: 75-80
Informal and Other Publications
- 2024
- [i25]Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou:
Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images. CoRR abs/2403.01799 (2024) - [i24]Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou:
Towards Calibrated Deep Clustering Network. CoRR abs/2403.02998 (2024) - [i23]Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang:
Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. CoRR abs/2405.02688 (2024) - [i22]Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng:
Inaccurate Label Distribution Learning with Dependency Noise. CoRR abs/2405.16474 (2024) - 2023
- [i21]Zhiqiang Kou, Yuheng Jia, Xin Geng:
Inaccurate Label Distribution Learning. CoRR abs/2302.13000 (2023) - [i20]Yuheng Jia, Jiawei Tang, Jiahao Jiang:
Label Distribution Learning from Logical Label. CoRR abs/2303.06847 (2023) - [i19]Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng:
Data Augmentation For Label Enhancement. CoRR abs/2303.11698 (2023) - [i18]Yuheng Jia, Chongjie Si, Min-Ling Zhang:
Complementary Classifier Induced Partial Label Learning. CoRR abs/2305.09897 (2023) - [i17]Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng:
Exploiting Multi-Label Correlation in Label Distribution Learning. CoRR abs/2308.01742 (2023) - [i16]Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng:
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. CoRR abs/2312.06343 (2023) - 2022
- [i15]Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang:
Ensemble Clustering via Co-association Matrix Self-enhancement. CoRR abs/2205.05937 (2022) - [i14]Guanxing Lu, Yuheng Jia, Junhui Hou:
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. CoRR abs/2205.10481 (2022) - [i13]Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu:
Multi-label Classification with High-rank and High-order Label Correlations. CoRR abs/2207.04197 (2022) - [i12]Yang He, Yuheng Jia, Liyang Hu, Chengchuan An, Zhenbo Lu, Jingxin Xia:
A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery. CoRR abs/2209.13786 (2022) - [i11]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Graph Augmentation Clustering Network. CoRR abs/2211.10627 (2022) - 2021
- [i10]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-supervised Symmetric Nonnegative Matrix Factorization. CoRR abs/2103.01689 (2021) - [i9]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Attention-driven Graph Clustering Network. CoRR abs/2108.05499 (2021) - [i8]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification. CoRR abs/2108.11172 (2021) - [i7]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Adaptive Attribute and Structure Subspace Clustering Network. CoRR abs/2109.13742 (2021) - [i6]Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Deep Attention-guided Graph Clustering with Dual Self-supervision. CoRR abs/2111.05548 (2021) - 2020
- [i5]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. CoRR abs/2004.14705 (2020) - [i4]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. CoRR abs/2012.03176 (2020) - [i3]Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen:
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. CoRR abs/2012.06149 (2020) - [i2]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. CoRR abs/2012.08916 (2020) - 2019
- [i1]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Clustering-aware Graph Construction: A Joint Learning Perspective. CoRR abs/1905.01446 (2019)
Coauthor Index
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