Yuheng Jia - RankMe

151 papers A* 25A 2B 2Misc 2Journal 117Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attribute Distribution Modeling and Semantic-Visual Alignment for Generative Zero-shot Learning. CoRR Haojie Pu, Zhuoming Li, Yongbiao Gao, Yuheng Jia
2026	J	`jnl`	CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters. CoRR Ao Sun, Xiaoyu Wang, Zhe Tan, Yu Li, Jiachen Zhu, Shu Su, Yuheng Jia
2026	J	`jnl`	DPtSTrip: Adversarially robust learning with distance-aware point-to-set triplet loss. Pattern Recognit. Ran Wang, Meng Hu, Xinlei Zhou, Yuheng Jia
2026	A*	`conf`	DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning. AAAI Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia
2026	A*	`conf`	ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering. AAAI Xinyue Wang, Yuheng Jia, Hui Liu, Junhui Hou
2026	J	`jnl`	FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation. CoRR Muqing Liu, Chongjie Si, Yuheng Jia
2026	J	`jnl`	Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers. CoRR Jun Ma, Xu Zhang, Zhengxing Jiao, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia
2026	J	`jnl`	Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
2026	J	`jnl`	Refine and Purify: Orthogonal Basis Optimization with Null-Space Denoising for Conditional Representation Learning. CoRR Jiaquan Wang, Yan Lyu, Chen Li, Yuheng Jia
2026	J	`jnl`	Rethinking Representativeness and Diversity in Dynamic Data Selection. CoRR Yuzhe Zhou, Zhenglin Hua, Haiyun Guo, Yuheng Jia
2026	J	`jnl`	Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling. IEEE Trans. Circuits Syst. Video Technol. Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng
2026	A*	`conf`	Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance. AAAI Jiecheng Jiang, Jiawei Tang, Jiahao Jiang, Hui Liu, Junhui Hou, Yuheng Jia
2025	A*	`conf`	A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. ICML Yaxin Hou, Yuheng Jia
2025	J	`jnl`	A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. CoRR Yaxin Hou, Yuheng Jia
2025	J	`jnl`	Adaptive Illumination-Invariant Synergistic Feature Integration in a Stratified Granular Framework for Visible-Infrared Re-Identification. CoRR Yuheng Jia, Wesley Armour
2025	A*	`conf`	Calibrated Disambiguation for Partial Multi-label Learning. AAAI Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao
2025	A*	`conf`	Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement. ICLR Yuhang Li, Zhuying Li, Yuheng Jia
2025	A*	`conf`	ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering. ICLR Zhixin Li, Yuheng Jia
2025	A*	`conf`	Concentration Distribution Learning from Label Distributions. ICML Jiawei Tang, Yuheng Jia
2025	J	`jnl`	Concentration Distribution Learning from Label Distributions. CoRR Jiawei Tang, Yuheng Jia
2025	—	`conf`	Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. ACL (1) Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang
2025	J	`jnl`	DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning. CoRR Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia
2025	J	`jnl`	ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering. CoRR Xinyue Wang, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Feature Statistics with Uncertainty Help Adversarial Robustness. CoRR Ran Wang, Xinlei Zhou, Rihao Li, Meng Hu, Wenhui Wu, Yuheng Jia
2025	A*	`conf`	Generalization Performance of Ensemble Clustering: From Theory to Algorithm. ICML Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia
2025	J	`jnl`	Generalization Performance of Ensemble Clustering: From Theory to Algorithm. CoRR Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia
2025	J	`jnl`	Graph-based Clustering Revisited: A Relaxation of Kernel CoRR Wenlong Lyu, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Instance-Dependent Inaccurate Label Distribution Learning. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng
2025	J	`jnl`	Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation. IEEE Trans. Image Process. Bo Han, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning. CoRR Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Label Distribution Learning by Exploiting Fuzzy Label Correlation. IEEE Trans. Neural Networks Learn. Syst. Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025	A*	`conf`	Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. IJCAI Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation. CoRR Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Label enhancement by manifold fusion of feature and label spaces. Pattern Recognit. Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025	J	`jnl`	Large Model Guided Semantic Segment Anything for Underwater Consumer Electronics. IEEE Trans. Consumer Electron. Qirui Lin, Hua Li, Yuheng Jia
2025	A*	`conf`	Learning from Sample Stability for Deep Clustering. ICML Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou
2025	—	`conf`	Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. KDD (1) Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou
2025	A*	`conf`	Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. ICLR Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang
2025	A*	`conf`	Partial Label Clustering. IJCAI Yutong Xie, Fuchao Yang, Yuheng Jia
2025	J	`jnl`	Partial Label Clustering. CoRR Yutong Xie, Fuchao Yang, Yuheng Jia
2025	J	`jnl`	Progressive label enhancement. Pattern Recognit. Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2025	J	`jnl`	Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
2025	J	`jnl`	Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering. IEEE Trans. Knowl. Data Eng. Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang
2025	—	`conf`	Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. EMNLP (Findings) Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang
2025	J	`jnl`	Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. CoRR Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang
2025	J	`jnl`	Structural-Spectral Graph Convolution With Evidential Edge Learning for Hyperspectral Image Clustering. IEEE Trans. Image Process. Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering. CoRR Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou
2025	J	`jnl`	Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance. CoRR Jiecheng Jiang, Jiawei Tang, Jiahao Jiang, Hui Liu, Junhui Hou, Yuheng Jia
2025	A*	`conf`	Towards Calibrated Deep Clustering Network. ICLR Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou
2025	J	`jnl`	You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering. CoRR Hanyang Li, Yuheng Jia, Hui Liu, Junhui Hou
2024	J	`jnl`	3-D Deployment of UAV-BSs for Effective Communication Coverage. IEEE Internet Things J. Qian Zeng, Yuheng Jia, Chuanqi Li, Liyuan Liu
2024	J	`jnl`	A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness. IEEE Trans. Intell. Transp. Syst. Liyang Hu, Yuheng Jia, Weijie Chen, Longhui Wen, Zhirui Ye
2024	J	`jnl`	AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures. IEEE Trans. Knowl. Data Eng. Xinyin Zhang, Ran Wang, Shuyue Chen, Yuheng Jia, Debby Dan Wang
2024	J	`jnl`	An Integrated Intra-View and Inter-View Framework for Multiple Traffic Variable Data Simultaneous Recovery. IEEE Trans. Intell. Transp. Syst. Yang He, Yuheng Jia, Yunqing Jia, Chengchuan An, Zhenbo Lu, Jingxin Xia
2024	J	`jnl`	Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang
2024	J	`jnl`	Discriminative Low-Rank Representation for HSI Clustering. IEEE Geosci. Remote. Sens. Lett. Zhixin Li, Bo Han, Yuheng Jia
2024	J	`jnl`	Efficient and Robust Freeway Traffic Speed Estimation Under Oblique Grid Using Vehicle Trajectory Data. IEEE Trans. Intell. Transp. Syst. Yang He, Chengchuan An, Yuheng Jia, Jiachao Liu, Zhenbo Lu, Jingxin Xia
2024	J	`jnl`	Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data. CoRR Yang He, Chengchuan An, Yuheng Jia, Jiachao Liu, Zhenbo Lu, Jingxin Xia
2024	J	`jnl`	Ensemble Clustering via Co-Association Matrix Self-Enhancement. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
2024	A*	`conf`	Exploiting Multi-Label Correlation in Label Distribution Learning. IJCAI Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng
2024	A*	`conf`	FairMatch: Promoting Partial Label Learning by Unlabeled Samples. KDD Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou
2024	J	`jnl`	Inaccurate Label Distribution Learning with Dependency Noise. CoRR Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024	J	`jnl`	Inaccurate Label Distribution Learning. IEEE Trans. Circuits Syst. Video Technol. Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024	J	`jnl`	Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation. CoRR Bo Han, Yuheng Jia, Hui Liu, Junhui Hou
2024	A*	`conf`	Label Distribution Learning from Logical Label. IJCAI Yuheng Jia, Jiawei Tang, Jiahao Jiang
2024	J	`jnl`	Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization. CoRR Wenlong Lyu, Yuheng Jia
2024	A*	`conf`	Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang
2024	J	`jnl`	Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. CoRR Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou
2024	J	`jnl`	Multi-Label Classification With High-Rank and High-Order Label Correlations. IEEE Trans. Knowl. Data Eng. Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
2024	A*	`conf`	Noisy Label Removal for Partial Multi-Label Learning. KDD Fuchao Yang, Yuheng Jia, Hui Liu, Yongqiang Dong, Junhui Hou
2024	B	`conf`	On the Adversarial Robustness of Hierarchical Classification. SMC Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang
2024	J	`jnl`	Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation. Expert Syst. Appl. Weili Jiang, Yiming Li, Yuheng Jia, Yuan Feng, Zhang Yi, Mao Chen, Jianyong Wang
2024	J	`jnl`	Segmentation of coronary artery based on discriminative frequency learning and coronary-geometric refinement. Comput. Biol. Medicine Weili Jiang, Yiming Li, Yuheng Jia, Yuan Feng, Yi Zhang, Jianyong Wang, Mao Chen
2024	J	`jnl`	Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. CoRR Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
2024	J	`jnl`	Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering. CoRR Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang
2024	J	`jnl`	Superpixel Graph Contrastive Clustering With Semantic-Invariant Augmentations for Hyperspectral Images. IEEE Trans. Circuits Syst. Video Technol. Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou
2024	J	`jnl`	Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images. CoRR Jianhan Qi, Yuheng Jia, Hui Liu, Junhui Hou
2024	J	`jnl`	Towards Better Performance in Incomplete LDL: Addressing Data Imbalance. CoRR Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng
2024	J	`jnl`	Towards Calibrated Deep Clustering Network. CoRR Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou
2024	J	`jnl`	Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong
2023	A*	`conf`	Complementary Classifier Induced Partial Label Learning. KDD Yuheng Jia, Chongjie Si, Min-Ling Zhang
2023	J	`jnl`	Complementary Classifier Induced Partial Label Learning. CoRR Yuheng Jia, Chongjie Si, Min-Ling Zhang
2023	J	`jnl`	Data Augmentation For Label Enhancement. CoRR Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng
2023	J	`jnl`	Deep Attention-Guided Graph Clustering With Dual Self-Supervision. IEEE Trans. Circuits Syst. Video Technol. Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2023	J	`jnl`	EGRC-Net: Embedding-Induced Graph Refinement Clustering Network. IEEE Trans. Image Process. Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2023	J	`jnl`	Exploiting Multi-Label Correlation in Label Distribution Learning. CoRR Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2023	Misc	`conf`	Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. ICMLC Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang
2023	J	`jnl`	Inaccurate Label Distribution Learning. CoRR Zhiqiang Kou, Yuheng Jia, Xin Geng
2023	J	`jnl`	Label Distribution Learning from Logical Label. CoRR Yuheng Jia, Jiawei Tang, Jiahao Jiang
2023	J	`jnl`	MemGCN: memory-augmented graph neural network for predict conduction disturbance after transcatheter aortic valve replacement. Appl. Intell. Gadeng Luosang, Yuheng Jia, Jianyong Wang, Yiming Li, Yuan Feng, Mao Chen, Zhang Yi
2023	A*	`conf`	Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage. NeurIPS Yuheng Jia, Fuchao Yang, Yongqiang Dong
2023	J	`jnl`	Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification. IEEE Trans. Intell. Transp. Syst. Mingyuan Xu, Haiyun Guo, Yuheng Jia, Zhitao Dai, Jinqiao Wang
2023	J	`jnl`	RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. CoRR Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng
2023	A*	`conf`	Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. KDD Yuheng Jia, Jiahao Jiang, Yongheng Wang
2023	J	`jnl`	Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Guanxing Lu, Hui Liu, Junhui Hou
2022	J	`jnl`	A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery. CoRR Yang He, Yuheng Jia, Liyang Hu, Chengchuan An, Zhenbo Lu, Jingxin Xia
2022	J	`jnl`	Adaptive Attribute and Structure Subspace Clustering Network. IEEE Trans. Image Process. Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2022	J	`jnl`	Ensemble Clustering via Co-association Matrix Self-enhancement. CoRR Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
2022	J	`jnl`	Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Graph Augmentation Clustering Network. CoRR Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2022	J	`jnl`	Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang
2022	J	`jnl`	Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2022	J	`jnl`	Multi-label Classification with High-rank and High-order Label Correlations. CoRR Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
2022	J	`jnl`	Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2022	J	`jnl`	Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation. CoRR Guanxing Lu, Yuheng Jia, Junhui Hou
2022	J	`jnl`	Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2022	J	`jnl`	Spectral Reweighting and Spectral Similarity Weighting for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Dengyong Zhang, Taowei Wang, Shujun Yang, Yuheng Jia, Feng Li
2021	J	`jnl`	Active Pattern Recognit. Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia
2021	J	`jnl`	Adaptive Attribute and Structure Subspace Clustering Network. CoRR Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2021	A*	`conf`	Attention-driven Graph Clustering Network. ACM Multimedia Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2021	J	`jnl`	Attention-driven Graph Clustering Network. CoRR Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2021	A*	`conf`	Clustering Ensemble Meets Low-rank Tensor Approximation. AAAI Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2021	J	`jnl`	Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Junhui Hou, Sam Kwong
2021	J	`jnl`	Deep Attention-guided Graph Clustering with Dual Self-supervision. CoRR Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
2021	J	`jnl`	Joint Optimization for Pairwise Constraint Propagation. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong
2021	J	`jnl`	Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2021	J	`jnl`	No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. Inf. Sci. Jingchao Cao, Ran Wang, Yuheng Jia, Xinfeng Zhang, Shiqi Wang, Sam Kwong
2021	J	`jnl`	Positive and Negative Label-Driven Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong
2021	J	`jnl`	Self-supervised Symmetric Nonnegative Matrix Factorization. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2021	J	`jnl`	Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization. IEEE Trans. Cybern. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong
2021	J	`jnl`	Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. IEEE Trans. Ind. Informatics Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Tak-Wu Kwong, Chuanbo Chen
2021	J	`jnl`	Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification. IEEE Trans. Image Process. Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du
2021	J	`jnl`	Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification. CoRR Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du
2020	J	`jnl`	Applying Exponential Family Distribution to Generalized Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. Yuheng Jia, Sam Kwong, Ran Wang
2020	J	`jnl`	Clustering Ensemble Meets Low-rank Tensor Approximation. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2020	J	`jnl`	Clustering-Aware Graph Construction: A Joint Learning Perspective. IEEE Trans. Signal Inf. Process. over Networks Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong
2020	J	`jnl`	Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries. IEEE Geosci. Remote. Sens. Lett. Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du
2020	J	`jnl`	Maximum Entropy Subspace Clustering Network. CoRR Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
2020	J	`jnl`	Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
2020	J	`jnl`	Non-Negative Transfer Learning With Consistent Inter-Domain Distribution. IEEE Signal Process. Lett. Zhihao Peng, Yuheng Jia, Junhui Hou
2020	J	`jnl`	Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong
2020	J	`jnl`	Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu
2020	J	`jnl`	Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. CoRR Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen
2019	J	`jnl`	Clustering-aware Graph Construction: A Joint Learning Perspective. CoRR Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong
2019	A*	`conf`	Imbalance-aware Pairwise Constraint Propagation. ACM Multimedia Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang
2019	J	`jnl`	Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du
2019	J	`jnl`	Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization. IEEE Trans. Image Process. Wenhui Wu, Sam Kwong, Junhui Hou, Yuheng Jia, Horace Ho-Shing Ip
2019	J	`jnl`	Sparse Bayesian Learning-Based Kernel Poisson Regression. IEEE Trans. Cybern. Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao
2019	J	`jnl`	Superpixel Segmentation Based on Square-Wise Asymmetric Partition and Structural Approximation. IEEE Trans. Multim. Hua Li, Sam Kwong, Chuanbo Chen, Yuheng Jia, Runmin Cong
2018	A	`conf`	Convex Constrained Clustering with Graph-Laplacian Pca. ICME Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu
2018	B	`conf`	Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. FUZZ-IEEE Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu
2018	J	`jnl`	Nonnegative matrix factorization with mixed hypergraph regularization for community detection. Inf. Sci. Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao
2018	J	`jnl`	Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Wenhui Wu, Yuheng Jia, Sam Kwong, Junhui Hou
2018	J	`jnl`	Semi-Supervised Spectral Clustering With Structured Sparsity Regularization. IEEE Signal Process. Lett. Yuheng Jia, Sam Kwong, Junhui Hou
2017	A	`conf`	Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang
2017	J	`jnl`	Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding. IEEE Trans. Image Process. Wei Gao, Sam Kwong, Yuheng Jia
2017	J	`jnl`	NSSRF: global network similarity search with subgraph signatures and its applications. Bioinform. Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong
2016	Misc	`conf`	Multiscale phase congruency analysis for image edge visual saliency detection. ICMLC Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu
2015	J	`jnl`	A Novel Multiple Instance Learning Method Based on Extreme Learning Machine. Comput. Intell. Neurosci. Jie Wang, Liangjian Cai, Jinzhu Peng, Yuheng Jia