Yuheng Jia

According to our database, Yuheng Jia authored at least 102 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering.

Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou

CoRR, June, 2025

Generalization Performance of Ensemble Clustering: From Theory to Algorithm.

Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia

CoRR, June, 2025

Label Distribution Learning by Exploiting Fuzzy Label Correlation.

Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Concentration Distribution Learning from Label Distributions.

Jiawei Tang, Yuheng Jia

CoRR, May, 2025

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning.

Yaxin Hou, Yuheng Jia

CoRR, May, 2025

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation.

Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang

CoRR, May, 2025

Partial Label Clustering.

Yutong Xie, Fuchao Yang, Yuheng Jia

CoRR, May, 2025

Feature Statistics with Uncertainty Help Adversarial Robustness.

Ran Wang, Xinlei Zhou, Rihao Li, Meng Hu, Wenhui Wu, Yuheng Jia

CoRR, March, 2025

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation.

Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang

IEEE Trans. Circuits Syst. Video Technol., February, 2025

Adaptive Illumination-Invariant Synergistic Feature Integration in a Stratified Granular Framework for Visible-Infrared Re-Identification.

Yuheng Jia, Wesley Armour

CoRR, February, 2025

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation.

Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

CoRR, February, 2025

Instance-Dependent Inaccurate Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation.

Bo Han, Yuheng Jia, Hui Liu, Junhui Hou

IEEE Trans. Image Process., 2025

Label enhancement by manifold fusion of feature and label spaces.

Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng

Pattern Recognit., 2025

Progressive label enhancement.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

Pattern Recognit., 2025

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning.

Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning.

Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement.

Yuhang Li, Zhuying Li, Yuheng Jia

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering.

Zhixin Li, Yuheng Jia

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Calibrated Deep Clustering Network.

Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Tat-Seng Chua, Jinqiao Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Calibrated Disambiguation for Partial Multi-label Learning.

Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures.

Xinyin Zhang, Ran Wang, Shuyue Chen, Yuheng Jia, Debby Dan Wang

IEEE Trans. Knowl. Data Eng., December, 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., November, 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., November, 2024

Superpixel Graph Contrastive Clustering With Semantic-Invariant Augmentations for Hyperspectral Images.

Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Inaccurate Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Ensemble Clustering via Co-Association Matrix Self-Enhancement.

Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2024

3-D Deployment of UAV-BSs for Effective Communication Coverage.

Qian Zeng, Yuheng Jia, Chuanqi Li, Liyuan Liu

IEEE Internet Things J., July, 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., March, 2024

Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation.

Weili Jiang, Yiming Li, Yuheng Jia, Yuan Feng, Zhang Yi, Mao Chen, Jianyong Wang

Expert Syst. Appl., March, 2024

Multi-Label Classification With High-Rank and High-Order Label Correlations.

Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu

IEEE Trans. Knowl. Data Eng., 2024

Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification.

Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong

IEEE Geosci. Remote. Sens. Lett., 2024

Discriminative Low-Rank Representation for HSI Clustering.

Zhixin Li, Bo Han, Yuheng Jia

IEEE Geosci. Remote. Sens. Lett., 2024

Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization.

Wenlong Lyu, Yuheng Jia

CoRR, 2024

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

Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang

CoRR, 2024

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.

Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2024

Inaccurate Label Distribution Learning with Dependency Noise.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2024

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation.

Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang

CoRR, 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, Mao Chen

Comput. Biol. Medicine, 2024

On the Adversarial Robustness of Hierarchical Classification.

Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Noisy Label Removal for Partial Multi-Label Learning.

Fuchao Yang, Yuheng Jia, Hui Liu, Yongqiang Dong, Junhui Hou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FairMatch: Promoting Partial Label Learning by Unlabeled Samples.

Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploiting Multi-Label Correlation in Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Label Distribution Learning from Logical Label.

Yuheng Jia, Jiawei Tang, Jiahao Jiang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation.

Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement.

Luosang Gadeng, Yuheng Jia, Jianyong Wang, Yiming Li, Yuan Feng, Mao Chen, Zhang Yi

Appl. Intell., November, 2023

Deep Attention-Guided Graph Clustering With Dual Self-Supervision.

Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation.

Yuheng Jia, Guanxing Lu, Hui Liu, Junhui Hou

IEEE Trans. Circuits Syst. Video Technol., July, 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., March, 2023

EGRC-Net: Embedding-Induced Graph Refinement Clustering Network.

Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou

IEEE Trans. Image Process., 2023

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

Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng

CoRR, 2023

Exploiting Multi-Label Correlation in Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2023

Data Augmentation For Label Enhancement.

Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng

CoRR, 2023

Inaccurate Label Distribution Learning.

Zhiqiang Kou, Yuheng Jia, Xin Geng

CoRR, 2023

Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage.

Yuheng Jia, Fuchao Yang, Yongqiang Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complementary Classifier Induced Partial Label Learning.

Yuheng Jia, Chongjie Si, Min-Ling Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction.

Yuheng Jia, Jiahao Jiang, Yongheng Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training.

Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Adaptive Attribute and Structure Subspace Clustering Network.

Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou

IEEE Trans. Image Process., 2022

Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang

IEEE Trans. Cybern., 2022

Maximum Entropy Subspace Clustering Network.

Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning Low-Rank Graph With Enhanced Supervision.

Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification.

Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Symmetric Nonnegative Matrix Factorization.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification.

Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing.

Dengyong Zhang, Taowei Wang, Shujun Yang, Yuheng Jia, Feng Li

IEEE Geosci. Remote. Sens. Lett., 2022

Graph Augmentation Clustering Network.

Zhihao Peng, Hui Liu, 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

Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation.

Guanxing Lu, Yuheng Jia, Junhui Hou

CoRR, 2022

2021

Joint Optimization for Pairwise Constraint Propagation.

Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong

IEEE Trans. Neural Networks Learn. Syst., 2021

Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA.

Yuheng Jia, Junhui Hou, Sam Kwong

IEEE Trans. Neural Networks Learn. Syst., 2021

Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification.

Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du

IEEE Trans. Image Process., 2021

Superpixel Segmentation Based on Spatially Constrained Subspace Clustering.

Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Tak-Wu Kwong, Chuanbo Chen

IEEE Trans. Ind. Informatics, 2021

Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong

IEEE Trans. Cybern., 2021

Positive and Negative Label-Driven Nonnegative Matrix Factorization.

Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong

IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2021

Active <i>k</i>-labelsets ensemble for multi-label classification.

Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia

Pattern Recognit., 2021

No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model.

Jingchao Cao, Ran Wang, Yuheng Jia, Xinfeng Zhang, Shiqi Wang, Sam Kwong

Inf. Sci., 2021

Attention-driven Graph Clustering Network.

Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Clustering Ensemble Meets Low-rank Tensor Approximation.

Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Applying Exponential Family Distribution to Generalized Extreme Learning Machine.

Yuheng Jia, Sam Kwong, Ran Wang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Clustering-Aware Graph Construction: A Joint Learning Perspective.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong

IEEE Trans. Signal Inf. Process. over Networks, 2020

Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization.

Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong

IEEE Trans. Neural Networks Learn. Syst., 2020

Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization.

Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu

IEEE Trans. Neural Networks Learn. Syst., 2020

Non-Negative Transfer Learning With Consistent Inter-Domain Distribution.

Zhihao Peng, Yuheng Jia, Junhui Hou

IEEE Signal Process. Lett., 2020

Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries.

Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation.

Hua Li, Sam Kwong, Chuanbo Chen, Yuheng Jia, Runmin Cong

IEEE Trans. Multim., 2019

Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization.

Wenhui Wu, Sam Kwong, Junhui Hou, Yuheng Jia, Horace Ho-Shing Ip

IEEE Trans. Image Process., 2019

Sparse Bayesian Learning-Based Kernel Poisson Regression.

Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao

IEEE Trans. Cybern., 2019

Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification.

Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Imbalance-aware Pairwise Constraint Propagation.

Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization.

Wenhui Wu, Yuheng Jia, Sam Kwong, Junhui Hou

IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-Supervised Spectral Clustering With Structured Sparsity Regularization.

Yuheng Jia, Sam Kwong, Junhui Hou

IEEE Signal Process. Lett., 2018

Nonnegative matrix factorization with mixed hypergraph regularization for community detection.

Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao

Inf. Sci., 2018

Convex Constrained Clustering with Graph-Laplacian Pca.

Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification.

Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding.

Wei Gao, Sam Kwong, Yuheng Jia

IEEE Trans. Image Process., 2017

NSSRF: global network similarity search with subgraph signatures and its applications.

Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong

Bioinform., 2017

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression.

Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Multiscale phase congruency analysis for image edge visual saliency detection.

Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

A Novel Multiple Instance Learning Method Based on Extreme Learning Machine.

Jie Wang, Liangjian Cai, Jinzhu Peng, Yuheng Jia

Comput. Intell. Neurosci., 2015