Yuheng Jia – Papers

Google Scholar

Papers are listed below, in descending order by year of submission before they are published, or year of publication.

Generally, the codes of all the papers will be available.

Preprint

• Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation

• Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering

• DPtSTrip: Adversarially Robust Learning with Distance-Aware Point-to-Set Triplet Loss

• Large Model Guided Semantic Segment Anything for Underwater Consumer Electronics

• Inaccurate Label Distribution Learning with Dependency Noise

• RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations

• Calibrated Deep Clustering Net

• Adaptive Graph Feedback Clustering Network

Journal Papers

• [PR] zhiqiang Kou, Jing Wnag, Yuheng Jia, Xin Geng, Progressive Label Enhancement , Pattern Recognition, in press,

• [TCSVT] Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation , IEEE Transactions on Circuits and Systems for Video Technology, in press, code

• [GRSL] Zhixin Li, Bo Han, Yuheng Jia, Discriminative Low-Rank Representation for HSI Clustering , IEEE Geoscience and Remote Sensing Letters. code

• [TKDE] Xinyin Zhang, Ran Wang, Shuyue Chen, Yuheng Jia, Debby D. Wang, AME-LSIFT: Attention-Aware Multi-Label Ensemble with Label Subset-SpecIfic FeaTures , IEEE Transactions on Transactions on Knowledge and Data Engineering.

• [TNNLS] Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng, Label Distribution Learning by Exploiting Fuzzy Label Correlation , IEEE Transactions on Neural Networks and Learning Systems.

• [TCSVT] Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou, Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images , IEEE Transactions on Circuits and Systems for Video Technology, in press. code

• [TITS] Yang He, Yuheng Jia, Yunqing Jia, Chengchuan An, Zhenbo Lu, Jingxin Xia, An Integrated Intra-view and Inter-view Framework for Multiple Traffic Variable Data Simultaneous Recovery , IEEE Transactions on Intelligent Transportation Systems. code

• [TITS] Yang He, Chengchuan An, Yuheng Jia, Jiachao Liu, Zhenbo Lu, Jingxin Xia, Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data , IEEE Transactions on Intelligent Transportation Systems.

• [TCSVT] Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, Inaccurate Label Distribution Learning , IEEE Transactions on Circuits and Systems for Video Technology.

• [GRSL] Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfang Hong, Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification , IEEE Geoscience and Remote Sensing Letters, 2024, in press.

• [TKDE] Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Qu Chongxiao, Multi-label Classification with High-rank and High-order Label Correlations , IEEE Transactions on Transactions on Knowledge and Data Engineering, 2023, in press. code

• [TIP] Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou, EGRC-Net: Embedding-induced Graph Refinement Clustering Network, IEEE Transactions on Image Processing, 2023, in press. code

• [TNNLS] Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng, Instance-Dependent Inaccurate Label Distribution Learning, IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

• [TITS] 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 Transactions on Intelligent Transportation Systems, 2023, in press. code

• [TNNLS] Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang, Ensemble Clustering via Co-Association Matrix Self-Enhancement, IEEE Transactions on Neural Networks and Learning Systems, 2023, in press. code

• [TCSVT] Yuheng Jia, Guanxing Lu, Hui Liu, Junhui Hou, Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(7): 3455-3461. code

• [TCSVT] Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou, Deep Attention-guided Graph Clustering with Dual Self-supervision, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(7): 3296-3307. code

• [TITS] 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 Transactions on Intelligent Transportation Systems, 2023, 24(3): 3395-3406. code

• [GRSL] Dengyong Zhang, Taowei Wang, Shujun Yang, Yuheng Jia, Feng Li, Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing, IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. code

• [TIP] Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou, Adaptive Attribute and Structure Subspace Clustering Network, IEEE Transactions on Image Processing, 2022, 31: 3430-3439. code

• [JSTARS] Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang, Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 7741-7754. code

• [TCYB] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang, Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery, IEEE Transactions on Cybernetics, 2022, 52(8): 7919-7930. code

• [TCSVT] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang, Self-supervised Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(7): 4526-4537. code

• [TIP] Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du, Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification, IEEE Transactions on Image Processing, 2021, 30: 8823-8835. code

• [Inf. Sci.] 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, Information Sciences, 2021, 574: 640-652.

• [TCSVT] Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang, Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(4): 2013-2024. code

• [TCSVT] Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang, Maximum entropy subspace clustering network, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(4): 2199-2210. code

• [TCSVT] Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang, Learning Low-rank Graph with Enhanced Supervision, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(4): 2501-2506.

• [TCSVT] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu zhang, Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(12): 4784-4797. code

• [PR] Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia, Active k-labelsets ensemble for multi-label classification, Pattern Recognition, 2021, 109: 107583. code

• [TCYB] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization, IEEE Transactions on Cybernetics, 2021, 51(5): 2550-2562. code

• [TII] Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen, Superpixel Segmentation Based on Spatially Constrained Subspace Clustering, IEEE Transactions on Industrial Informatics, 2020, 17(11): 7501-7512.

• [TCSVT] Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong, Positive and Negative Label-Driven Nonnegative Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 31(7): 2698-2710.

• [SPL] Zhihao Peng, Yuheng Jia, Junhui Hou, Non-Negative Transfer Learning With Consistent Inter-Domain Distribution, IEEE Signal Processing Letters, 2020, 17: 1720-1724. code

• [TNNLS] Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong, Joint Optimization for Pairwise Constraint Propagation, IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(7): 3168-3180. code

• [TNNLS] Yuheng Jia, Junhui Hou, Sam Kwong, Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA, IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(9): 3985-3997. code

• [TSIPN] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Clustering-Aware Graph Construction: A Joint Learning Perspective, IEEE Transactions on Signal and Information Processing over Networks, 2020, 6: 357-370.

• [GRSL] Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du, Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries, IEEE Geoscience and Remote Sensing Letters, 2020, 17(9): 1598-1602. code

• [TNNLS] Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Pairwise Constraint Propagation with Dual Adversarial Manifold Regularization, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(12): 5575-5587. code

• [TSMC] Yuheng Jia, Sam Kwong, Ran Wang, Applying Exponential Family Distribution to Generalized Extreme Learning Machine, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(5): 1794-1804.

• [TNNLS] Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu, Semi-Supervised Non-Negative Matrix Factorization with Dissimilarity and Similarity Regularization, IEEE Transactions on Neural Networks and Learning Systems, 2019, 31(7): 2510-2521. code

• [TCYB] Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao, Sparse Bayesian Learning-Based Kernel Poisson Regression, IEEE Transactions on Cybernetics, 2019, 49(1): 56-68.

• [TMM] Hua Li, Sam Kwong, Chuanbo Chen, Yuheng Jia, Runmin Cong, Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation, IEEE Transactions on Multimedia, 2019, 21(10): 2625-2637.

• [TIP] 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 Transactions on Image Processing, 2019, 28(8): 3836-3847. code

• [JSTARS] Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du, Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(3): 1000-1011. code

• [SPL] Yuheng Jia, Sam Kwong, Junhui Hou, Semi-Supervised Spectral Clustering With Structured Sparsity Regularization, IEEE Signal Processing Letters, 2018, 25(3): 403-407. code

• [TNNLS] Wenhui Wu, Yuheng Jia, Sam Kwong, Junhui Hou, Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(12): 6348-6361. code

• [Inf. Sci.] Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao, Nonnegative Matrix Factorization with Mixed Hypergraph Regularization for Community Detection, Information Sciences, 2018, 435: 263-281.

• [TIP] Wei Gao, Sam Kwong, Yuheng Jia, Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding, IEEE Transactions on Image Processing, 2017, 26(12): 6074-6089.

• [BioInfo] Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong, NSSRF: Global Network Similarity Search with Subgraph Signatures and its Applications, Bioinformatics, 2017, 33(11): 1696-1702. code

• [CIN] Jie Wang, Liangjian Cai, Jinzhu Peng, Yuheng Jia, A Novel Multiple Instance Learning Method Based on Extreme Learning Machine, Computational Intelligence and Neuroscience, 2015, 2015: 3-3.

Conference Papers

• [KDD] Fuchao Yang, Jianhong Cheng, Hui LIU, Yongqiang Dong, Yuheng Jia, Junhui Hou, Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning, 2025.

• [SMC] Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing Yin Ng, Xizhao Wang, On the Adversarial Robustness of Hierarchical Classification, 2024.

• [KDD] Fuchao Yang, Yuheng Jia, Hui LIU, Yongqiang Dong, Junhui Hou, Noisy Label Removal for Partial Multi-Label Learning, 2024. code

• [KDD] Jiahao Jiang, Yuheng Jia, Hui LIU, Junhui Hou, FairMatch: Promoting Partial Label Learning by Unlabeled Samples, 2024. code

• [IJCAI] Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng, Exploiting Multi-Label Correlation in Label Distribution Learning, 2024.

• [IJCAI] Yuheng Jia, Jiawei Tang, Jiahao Jiang, Label Distribution Learning from Logical Label, International Joint Conference on Artificial Intelligence, 2024. code

• [AAAI] Yuheng Jia, Xiaorui Peng, Ran Wang, Ming-Ling Zhang, Long-tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation, AAAI Conference on Artificial Intelligence, 2024. code

• [TRB] Yang He, Chengchuan An, Yuheng Jia, Jiaochao Liu, Efficient and Robust Freeway Traffic State Estimation under Oblique Grid using Vehicle Trajectory Data, Transportation Research Board Annual Meeting, 2024.

• [TRB] Liyang Hu, Yuheng Jia, Weijie Chen, Dongjie Liu, Jianke Cheng, Zhirui Ye, When Missingness Meets Anomalies: A Tailored Low-rank Tensor Completion Approach for Traffic Data Recovery, Transportation Research Board Annual Meeting, 2024.

• [NeurIPS] Yuheng Jia, Fuchao Yang, Yongqiang Dong, Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage, Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, 2023-11-28~2023-12-09. code

• [KDD] Yuheng Jia, Chongjie Si, Min-Ling Zhang, Complementary Classifier Induced Partial Label Learning, Twenty-ninth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, 2023-08-06~2023-08-10, pp. 974–983. code

• [KDD] Yuheng Jia, Jiahao Jiang, Yongheng Wang, Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction, Twenty-ninth ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, 2023-08-06~2023-08-10, pp. 964–973. code

• [ICMLC] Ran Wang, Jingyu Xiang, Haopeng Ke, Yuheng Jia, Debby D. Wang, Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two Stage Training, International Conference on Machine Learning and Cybernetics, Adelaide, Australia, 2023-07-09~2023-07-11. code

• [ACM MM] Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou, Attention-driven graph clustering network, ACM International Conference on Multimedia, Virtual Conference, 2021-10-20~2021-10-24, pp. 935–943. code

• [AAAI] Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang, Clustering ensemble meets low-rank tensor approximation, AAAI Conference on Artificial Intelligence, Virtual Conference, 2021-02-02~2021-02-09. code

• [ACM MM] Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang, Imbalance-aware pairwise constraint propagation, ACM International Conference on Multimedia, Nice France, 2019-10-21~2019-10-25, pp. 1605–1613.

• [ICME] Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu, Convex Constrained Clustering with Graph-Laplacian PCA, IEEE International Conference on Multimedia and Expo, San Diego, USA, 2018-07-23~2018-07-27, pp. 1-6.

• [FUZZ-IEEE] Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu, Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification, IEEE International Conference on Fuzzy Systems, Rio de Janeiro, Brazil, 2018-07-08~2018-07-13.

• [IntelliSys] Yuheng Jia, Sam Kwong, Wenhui Wu, Wei Gao, Ran Wang, Generalized Relevance Vector Machine, Intelligent Systems Conference, London, UK, 2017-09-07~2017-09-08, pp. 638-645.

• [GECCO] Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang, Adaptive Weights Generation for Decomposition-based Multi-objective Optimization Using Gaussian Process Regression, Genetic and Evolutionary Computation Conference, Berlin Germany, 2017-07-15~2017-07-19.

• [ICMLC] Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu, Multiscale Phase Congruency Analysis for Image Edge Visual Saliency Detection, International Conference on Machine Learning and Cybernetics, Jeju Island, South Korea, 2016-07-10~2016-07-13.