Xin Geng

ACM Trans. Multim. Comput. Commun. Appl., February, 2025

Label Distribution Learning by Partitioning Label Distribution Manifold.

[BibT_eX]

[DOI]

Jianhui Lv

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

Speculative Ensemble: Fast Large Language Model Ensemble via Speculation.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification.

[BibT_eX]

[DOI]

Huazhong Zhao

Lei Qi

ACM Trans. Multim. Comput. Commun. Appl., January, 2025

Instance-Dependent Inaccurate Label Distribution Learning.

[BibT_eX]

[DOI]

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

Patch-Aware Batch Normalization for Improving Cross-Domain Robustness.

[BibT_eX]

[DOI]

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

STHFL: Spatio-Temporal Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, January, 2025

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification.

[BibT_eX]

[DOI]

Huazhong Zhao

Lei Qi

IEEE Trans. Inf. Forensics Secur., 2025

Residual k-Nearest Neighbors Label Distribution Learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Progressive label enhancement.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

2024

Variational Label Enhancement for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification.

[BibT_eX]

[DOI]

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

Learning From Noisy Labels via Dynamic Loss Thresholding.

[BibT_eX]

[DOI]

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

A Novel Cross-Perturbation for Single Domain Generalization.

[BibT_eX]

[DOI]

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

Generalizable Metric Network for Cross-Domain Person Re-Identification.

[BibT_eX]

[DOI]

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

Inaccurate Label Distribution Learning.

[BibT_eX]

[DOI]

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

Facilitating AI-Based CSI Feedback Deployment in Massive MIMO Systems With Learngene.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., September, 2024

LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, August, 2024

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Variational Continuous Label Distribution Learning for Multi-Label Text Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2024

DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Sequential Label Enhancement.

[BibT_eX]

[DOI]

Yongbiao Gao

Ke Wang

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

On the Robustness of Average Losses for Partial-Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards Workplace Metaverse: A Human-Centered Approach for Designing and Evaluating XR Virtual Displays.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Interact., April, 2024

Temporal segment dropout for human action video recognition.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Auto-encoding score distribution regression for action quality assessment.

[BibT_eX]

[DOI]

Neural Comput. Appl., January, 2024

Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

NormAUG: Normalization-Guided Augmentation for Domain Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Label enhancement via manifold approximation and projection with graph convolutional network.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Dynamic heterogeneous federated learning with multi-level prototypes.

[BibT_eX]

[DOI]

Shunxin Guo

Hongsong Wang

Pattern Recognit., 2024

Driver distraction detection using semi-supervised lightweight vision transformer.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

MageBench: Bridging Large Multimodal Models to Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.

[BibT_eX]

[DOI]

CoRR, 2024

Negative-Prompt-driven Alignment for Generative Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization.

[BibT_eX]

[DOI]

CoRR, 2024

KIND: Knowledge Integration and Diversion in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Progressively Selective Label Enhancement for Language Model Alignment.

[BibT_eX]

[DOI]

Biao Liu

CoRR, 2024

ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

WAVE: Weight Template for Adaptive Initialization of Variable-sized Models.

[BibT_eX]

[DOI]

CoRR, 2024

Learnable In-Context Vector for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

Inaccurate Label Distribution Learning with Dependency Noise.

[BibT_eX]

[DOI]

CoRR, 2024

CCA: Collaborative Competitive Agents for Image Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Transferring Core Knowledge via Learngenes.

[BibT_eX]

[DOI]

Fu Feng

CoRR, 2024

Unsupervised Graphic Layout Grouping with Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LIVE: Learnable In-Context Vector for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

What Makes Partial-Label Learning Algorithms Effective?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.

[BibT_eX]

[DOI]

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

Exploiting Multi-Label Correlation in Label Distribution Learning.

[BibT_eX]

[DOI]

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

Vision Transformers as Probabilistic Expansion from Learngene.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles.

[BibT_eX]

[DOI]

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Variational Label-Correlation Enhancement for Congestion Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Transformer as Linear Expansion of Learngene.

[BibT_eX]

[DOI]

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

Building Variable-Sized Models via Learngene Pool.

[BibT_eX]

[DOI]

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

2023

Trusted-Data-Guided Label Enhancement on Noisy Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Closer Look at Video Sampling for Sequential Action Recognition.

[BibT_eX]

[DOI]

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

Motional foreground attention-based video crowd counting.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Label distribution learning for scene text detection.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Progressive Enhancement of Label Distributions for Partial Multilabel Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Variational Label Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Label Distribution Learning by Exploiting Label Distribution Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Graph Attention Transformer Network for Multi-label Image Classification.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2023

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Language-Guided Face Animation by Recurrent StyleGAN-Based Generator.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Fast Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Continuous label distribution learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

A Novel Label Enhancement Algorithm Based on Manifold Learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

A label distribution manifold learning algorithm.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Balanced masking strategy for multi-label image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2023

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

[BibT_eX]

[DOI]

Kouzhiqiang Yucheng Xie

CoRR, 2023

Manipulating the Label Space for In-Context Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Scalable Label Distribution Learning for Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Can Class-Priors Help Single-Positive Multi-Label Learning?

[BibT_eX]

[DOI]

CoRR, 2023

Robust Representation Learning for Unreliable Partial Label Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Exploiting Multi-Label Correlation in Label Distribution Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Genes in Intelligent Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid Representation Learning via Epistemic Graph.

[BibT_eX]

[DOI]

CoRR, 2023

Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models.

[BibT_eX]

[DOI]

CoRR, 2023

Data Augmentation For Label Enhancement.

[BibT_eX]

[DOI]

CoRR, 2023

Inaccurate Label Distribution Learning.

[BibT_eX]

[DOI]

Zhiqiang Kou

Yuheng Jia

CoRR, 2023

Learning From Biased Soft Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Learning From Biased Soft Labels.

[BibT_eX]

[DOI]

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

Exploring Diverse In-Context Configurations for Image Captioning.

[BibT_eX]

[DOI]

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

Generalizable Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unreliable Partial Label Learning with Recursive Separation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Progressive Purification for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Decompositional Generation Process for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Congyu Qiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Diffusion Training via Min-SNR Weighting Strategy.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Effective Visual Representations for Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imbalanced Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Label Distribution Learning for Generalizable Multisource Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Feature-Induced Label Distribution for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Minxue Zhang

Pattern Recognit. Lett., 2022

Re-Weighting Large Margin Label Distribution Learning for Classification.

[BibT_eX]

[DOI]

Hui Xue

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Revisiting Facial Age Estimation With New Insights From Instance Space Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multilabel Ranking With Inconsistent Rankers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Head Pose Estimation Based on Multivariate Label Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Weakly supervised temporal action localization with proxy metric modeling.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Label distribution for multimodal machine learning.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Label Distribution Learning for Generalizable Multi-source Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2022

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Congyu Qiao

CoRR, 2022

Learning Hierarchical Graph Representation for Image Manipulation Detection.

[BibT_eX]

[DOI]

CoRR, 2022

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fusion Label Enhancement for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning from Noisy Labels via Meta Credible Label Elicitation.

[BibT_eX]

[DOI]

Ziyang Gao

Yaping Yan

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learngene: From Open-World to Your Learning Task.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

Yun-Peng Liu

IEEE Trans. Knowl. Data Eng., 2021

Compact learning for multi-label classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Practical age estimation using deep label distribution learning.

[BibT_eX]

[DOI]

Huiying Zhang

Yu Zhang

Frontiers Comput. Sci., 2021

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.

[BibT_eX]

[DOI]

CoRR, 2021

On the Robustness of Average Losses for Partial-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning from Noisy Labels via Dynamic Loss Thresholding.

[BibT_eX]

[DOI]

CoRR, 2021

Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learn the Highest Label and Rest Label Description Degrees.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Video Summarization via Label Distributions Dual-Reward.

[BibT_eX]

[DOI]

Yongbiao Gao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Label Distribution Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Simultaneous 3D hand detection and pose estimation using single depth images.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Provably Consistent Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Label Distribution for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Label Enhancement for Label Distribution Learning via Prior Knowledge.

[BibT_eX]

[DOI]

Yongbiao Gao

Yu Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Progressive Identification of True Labels for Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Variational Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Partial Multi-Label Learning with Label Distribution.

[BibT_eX]

[DOI]

Yun-Peng Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning.

[BibT_eX]

[DOI]

Miaogen Ling

IEEE Trans. Image Process., 2019

Recurrent age estimation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Soft video parsing by label distribution learning.

[BibT_eX]

[DOI]

Miaogen Ling

Frontiers Comput. Sci., 2019

Discrete Binary Coding based Label Distribution Learning.

[BibT_eX]

[DOI]

Ke Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Classification with Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weakly Supervised Multi-Label Learning via Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Partial Label Learning via Label Enhancement.

[BibT_eX]

[DOI]

Jiaqi Lv

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Hierarchical Classification Based on Label Distribution Learning.

[BibT_eX]

[DOI]

Changdong Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Theoretical Analysis of Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Soft Facial Landmark Detection by Label Distribution Learning.

[BibT_eX]

[DOI]

Kai Su

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Binary relevance for multi-label learning: an overview.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace.

[BibT_eX]

[DOI]

An Tao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

An Tao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Binary Coding based Label Distribution Learning.

[BibT_eX]

[DOI]

Ke Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Label Embedding Based on Multi-Scale Locality Preservation.

[BibT_eX]

[DOI]

Cheng-Lun Peng

An Tao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Age Estimation Using Expectation of Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-label Learning with Label Enhancement.

[BibT_eX]

[DOI]

Ruifeng Shao

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Data-Dependent Label Distribution Learning for Age Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Deep Label Distribution Learning With Label Ambiguity.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Sense Beauty by Label Distribution Learning.

[BibT_eX]

[DOI]

Yi Ren

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Ordinal Zero-Shot Learning.

[BibT_eX]

[DOI]

Zeng-Wei Huo

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

A multi-task model for simultaneous face identification and facial expression recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2016

A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition.

[BibT_eX]

[DOI]

Hao Zheng

Zhongxue Yang

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Sparsity Conditional Energy Label Distribution Learning for Age Estimation.

[BibT_eX]

[DOI]

Xu Yang

Deyu Zhou

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Logistic Boosting Regression for Label Distribution Learning.

[BibT_eX]

[DOI]

Chao Xing

Hui Xue

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Age Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Multi-Label Manifold Learning.

[BibT_eX]

[DOI]

Peng Hou

Min-Ling Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Crowd counting in public video surveillance by label distribution learning.

[BibT_eX]

[DOI]

Zhaoxiang Zhang

Mo Wang

Neurocomputing, 2015

Emotion Distribution Recognition from Facial Expressions.

[BibT_eX]

[DOI]

Ying Zhou

Hui Xue

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning.

[BibT_eX]

[DOI]

Peng Hou

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning.

[BibT_eX]

[DOI]

Yu-Kun Li

Min-Ling Zhang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Deep Label Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Label Distribution Learning.

[BibT_eX]

[DOI]

Quan Zhao

CoRR, 2014

Facial Age Estimation by Adaptive Label Distribution Learning.

[BibT_eX]

[DOI]

Qin Wang

Yu Xia

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Head Pose Estimation Based on Multivariate Label Distribution.

[BibT_eX]

[DOI]

Yu Xia

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Facial Age Estimation: A Data Representation Perspective.

[BibT_eX]

[DOI]

Proceedings of the Human-Centered Social Media Analytics, 2014

2013

Facial Age Estimation by Learning from Label Distributions.

[BibT_eX]

[DOI]

Chao Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Pedestrian Detection Based on Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Label Distribution Learning.

[BibT_eX]

[DOI]

Rongzi Ji

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Facial Age Estimation by Conditional Probability Neural Network.

[BibT_eX]

[DOI]

Chao Yin

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Face Image Modeling by Multilinear Subspace Analysis With Missing Values.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

2010

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

IEEE Trans. Knowl. Data Eng., 2010

Context-aware fusion: A case study on fusion of gait and face for human identification in video.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

Facial Age Estimation by Learning from Label Distributions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Biometrics, 2009

Image/video-based pattern analysis and HCI applications.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

Editorial.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2009

Facial age estimation by multilinear subspace analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Correction to "Automatic Age Estimation Based on Facial Aging Patterns".

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Adaptive Fusion of Gait and Face for Human Identification in Video.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Facial age estimation by nonlinear aging pattern subspace.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Multimedia 2008, 2008

SpecVAT: Enhanced Visual Cluster Analysis.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Moving shape dynamics: A signal processing perspective.

[BibT_eX]

[DOI]

Liang Wang

Christopher Leckie

Kotagiri Ramamohanarao

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Automatic Age Estimation Based on Facial Aging Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

2006

Image Region Selection and Ensemble for Face Recognition.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.

[BibT_eX]

[DOI]

Honghua Dai

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Learning from facial aging patterns for automatic age estimation.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Abnormal Behavior Detection for Early Warning of Terrorist Attack.

[BibT_eX]

[DOI]

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Supervised nonlinear dimensionality reduction for visualization and classification.

[BibT_eX]

[DOI]

De-Chuan Zhan

IEEE Trans. Syst. Man Cybern. Part B, 2005

2004

Projection functions for eye detection.

[BibT_eX]

[DOI]