Projection functions for eye detection. - Zhi-Hua Zhou; Xin Geng 001 (Pattern Recognit., 2004)

Supervised nonlinear dimensionality reduction for visualization and classification. - Xin Geng 001; De-Chuan Zhan; Zhi-Hua Zhou (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Abnormal Behavior Detection for Early Warning of Terrorist Attack. - Xin Geng 001; Gang Li 009; Yangdong Ye; Yiqing Tu; Honghua Dai 001 (Australian Conference on Artificial Intelligence, 2006)

Learning from facial aging patterns for automatic age estimation. - Xin Geng 001; Zhi-Hua Zhou; Yu Zhang 006; Gang Li 009; Honghua Dai 001 (ACM Multimedia, 2006)

Uncontrolled Face Recognition by Individual Stable Neural Network. - Xin Geng 001; Zhi-Hua Zhou; Honghua Dai 001 (PRICAI, 2006)

Image Region Selection and Ensemble for Face Recognition. - Xin Geng 001; Zhi-Hua Zhou (J. Comput. Sci. Technol., 2006)

Automatic Age Estimation Based on Facial Aging Patterns. - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Moving shape dynamics: A signal processing perspective. - Liang Wang 001; Xin Geng 001; Christopher Leckie; Kotagiri Ramamohanarao (CVPR, 2008)

SpecVAT: Enhanced Visual Cluster Analysis. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (ICDM, 2008)

Facial age estimation by nonlinear aging pattern subspace. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou (ACM Multimedia, 2008)

Adaptive Fusion of Gait and Face for Human Identification in Video. - Xin Geng 001; Liang Wang 001; Ming Li 010; Qiang Wu 001; Kate Smith-Miles (WACV, 2008)

Correction to "Automatic Age Estimation Based on Facial Aging Patterns". - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. - Xin Geng 001; Zhi-Hua Zhou; Kate Smith-Miles (IEEE Trans. Neural Networks, 2008)

Facial age estimation by multilinear subspace analysis. - Xin Geng 001; Kate Smith-Miles (ICASSP, 2009)

Editorial. - Liang Wang 001; Qiang Wu 001; Ming Li 010; Jordi Gonzàlez 001; Xin Geng 001 (Int. J. Pattern Recognit. Artif. Intell., 2009)

Image/video-based pattern analysis and HCI applications. - Liang Wang 001; Qiang Wu 001; Hanzi Wang; Xin Geng 001; Ming Li 010 (Pattern Recognit. Lett., 2009)

Incremental Learning. - Xin Geng 001; Kate Smith-Miles (Encyclopedia of Biometrics, 2009)

Facial Age Estimation by Learning from Label Distributions. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou (AAAI, 2010)

Context-aware fusion: A case study on fusion of gait and face for human identification in video. - Xin Geng 001; Kate Smith-Miles; Liang Wang 001; Ming Li 010; Qiang Wu 001 (Pattern Recognit., 2010)

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (IEEE Trans. Knowl. Data Eng., 2010)

Face Image Modeling by Multilinear Subspace Analysis With Missing Values. - Xin Geng 001; Kate Smith-Miles; Zhi-Hua Zhou; Liang Wang 001 (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Facial Age Estimation by Conditional Probability Neural Network. - Chao Yin; Xin Geng 001 (CCPR, 2012)

Label Distribution Learning. - Xin Geng 001; Rongzi Ji (ICDM Workshops, 2013)

Pedestrian Detection Based on Incremental Learning. - Yu Xia; Yongzhen Huang; Liang Wang 001; Xin Geng 001 (IScIDE, 2013)

Facial Age Estimation by Learning from Label Distributions. - Xin Geng 001; Chao Yin; Zhi-Hua Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Facial Age Estimation: A Data Representation Perspective. - Xin Geng 001 (Human-Centered Social Media Analytics, 2014)

Head Pose Estimation Based on Multivariate Label Distribution. - Xin Geng 001; Yu Xia (CVPR, 2014)

Facial Age Estimation by Adaptive Label Distribution Learning. - Xin Geng 001; Qin Wang; Yu Xia (ICPR, 2014)

Label Distribution Learning. - Xin Geng 001; Quan Zhao (CoRR, 2014)

Deep Label Distribution Learning for Apparent Age Estimation. - Xu Yang 021; Bin-Bin Gao; Chao Xing; Zeng-Wei Huo; Xiu-Shen Wei; Ying Zhou; Jianxin Wu 001; Xin Geng 001 (ICCV Workshops, 2015)

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning. - Yu-Kun Li; Min-Ling Zhang; Xin Geng 001 (ICDM, 2015)

Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning. - Xin Geng 001; Peng Hou (IJCAI, 2015)

Emotion Distribution Recognition from Facial Expressions. - Ying Zhou; Hui Xue 002; Xin Geng 001 (ACM Multimedia, 2015)

Crowd counting in public video surveillance by label distribution learning. - Zhaoxiang Zhang 001; Mo Wang; Xin Geng 001 (Neurocomputing, 2015)

Incremental Learning. - Xin Geng 001; Kate Smith-Miles (Encyclopedia of Biometrics, 2015)

Multi-Label Manifold Learning. - Peng Hou; Xin Geng 001; Min-Ling Zhang (AAAI, 2016)

Deep Age Distribution Learning for Apparent Age Estimation. - Zeng-Wei Huo; Xu Yang 021; Chao Xing; Ying Zhou; Peng Hou; Jiaqi Lv; Xin Geng 001 (CVPR Workshops, 2016)

Logistic Boosting Regression for Label Distribution Learning. - Chao Xing; Xin Geng 001; Hui Xue 002 (CVPR, 2016)

Sparsity Conditional Energy Label Distribution Learning for Age Estimation. - Xu Yang 021; Xin Geng 001; Deyu Zhou (IJCAI, 2016)

A Relaxed K-SVD Algorithm for Spontaneous Micro-Expression Recognition. - Hao Zheng; Xin Geng 001; Zhongxue Yang (PRICAI, 2016)

A multi-task model for simultaneous face identification and facial expression recognition. - Hao Zheng; Xin Geng 001; Dacheng Tao; Zhong Jin (Neurocomputing, 2016)

Label Distribution Learning. - Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2016)

Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. - Peng Hou; Xin Geng 001; Zeng-Wei Huo; Jiaqi Lv (AAAI, 2017)

Ordinal Zero-Shot Learning. - Zeng-Wei Huo; Xin Geng 001 (IJCAI, 2017)

Sense Beauty by Label Distribution Learning. - Yi Ren; Xin Geng 001 (IJCAI, 2017)

Deep Label Distribution Learning With Label Ambiguity. - Bin-Bin Gao; Chao Xing; Chen-Wei Xie; Jianxin Wu 001; Xin Geng 001 (IEEE Trans. Image Process., 2017)

Data-Dependent Label Distribution Learning for Age Estimation. - Zhouzhou He; Xi Li 001; Zhongfei Zhang; Fei Wu 001; Xin Geng 001; Yaqing Zhang; Ming-Hsuan Yang 001; Yueting Zhuang (IEEE Trans. Image Process., 2017)

Multi-label Learning with Label Enhancement. - Ruifeng Shao; Ning Xu 009; Xin Geng 001 (ICDM, 2018)

Age Estimation Using Expectation of Label Distribution Learning. - Bin-Bin Gao; Hong-Yu Zhou; Jianxin Wu 001; Xin Geng 001 (IJCAI, 2018)

Label Embedding Based on Multi-Scale Locality Preservation. - Cheng-Lun Peng; An Tao; Xin Geng 001 (IJCAI, 2018)

Binary Coding based Label Distribution Learning. - Ke Wang 047; Xin Geng 001 (IJCAI, 2018)

Label Enhancement for Label Distribution Learning. - Ning Xu 009; An Tao; Xin Geng 001 (IJCAI, 2018)

Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. - An Tao; Ning Xu 009; Xin Geng 001 (PRICAI (1), 2018)

Binary relevance for multi-label learning: an overview. - Min-Ling Zhang; Yu-Kun Li; Xu-Ying Liu; Xin Geng 001 (Frontiers Comput. Sci., 2018)

Soft Facial Landmark Detection by Label Distribution Learning. - Kai Su; Xin Geng 001 (AAAI, 2019)

Theoretical Analysis of Label Distribution Learning. - Jing Wang 113; Xin Geng 001 (AAAI, 2019)

Hierarchical Classification Based on Label Distribution Learning. - Changdong Xu; Xin Geng 001 (AAAI, 2019)

Partial Label Learning via Label Enhancement. - Ning Xu 009; Jiaqi Lv; Xin Geng 001 (AAAI, 2019)

Weakly Supervised Multi-Label Learning via Label Enhancement. - Jiaqi Lv; Ning Xu 009; RenYi Zheng; Xin Geng 001 (IJCAI, 2019)

Classification with Label Distribution Learning. - Jing Wang 113; Xin Geng 001 (IJCAI, 2019)

Discrete Binary Coding based Label Distribution Learning. - Ke Wang 047; Xin Geng 001 (IJCAI, 2019)

Soft video parsing by label distribution learning. - Miaogen Ling; Xin Geng 001 (Frontiers Comput. Sci., 2019)

Recurrent age estimation. - Huiying Zhang; Xin Geng 001; Yu Zhang 004; Fanyong Cheng (Pattern Recognit. Lett., 2019)

Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning. - Miaogen Ling; Xin Geng 001 (IEEE Trans. Image Process., 2019)

Partial Multi-Label Learning with Label Distribution. - Ning Xu 009; Yun-Peng Liu; Xin Geng 001 (AAAI, 2020)

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. - Shikai Chen; Jianfeng Wang; Yuedong Chen; Zhongchao Shi; Xin Geng 001; Yong Rui (CVPR, 2020)

Variational Label Enhancement. - Ning Xu 009; Jun Shu; Yun-Peng Liu; Xin Geng 001 (ICML, 2020)

Progressive Identification of True Labels for Partial-Label Learning. - Jiaqi Lv; Miao Xu 001; Lei Feng 006; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (ICML, 2020)

Label Enhancement for Label Distribution Learning via Prior Knowledge. - Yongbiao Gao; Yu Zhang 004; Xin Geng 001 (IJCAI, 2020)

Label Distribution for Learning with Noisy Labels. - Yun-Peng Liu; Ning Xu 009; Yu Zhang 004; Xin Geng 001 (IJCAI, 2020)

Provably Consistent Partial-Label Learning. - Lei Feng 006; Jiaqi Lv; Bo Han 003; Miao Xu 001; Gang Niu 001; Xin Geng 001; Bo An 001; Masashi Sugiyama (NeurIPS, 2020)

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. - Bin-Bin Gao; Xinxin Liu; Hong-Yu Zhou; Jianxin Wu 001; Xin Geng 001 (CoRR, 2020)

Simultaneous 3D hand detection and pose estimation using single depth images. - Yu Zhang 004; Siya Mi; Jianxin Wu 001; Xin Geng 001 (Pattern Recognit. Lett., 2020)

Label Distribution Learning Machine. - Jing Wang 113; Xin Geng 001 (ICML, 2021)

Video Summarization via Label Distributions Dual-Reward. - Yongbiao Gao; Ning Xu 009; Xin Geng 001 (IJCAI, 2021)

Learn the Highest Label and Rest Label Description Degrees. - Jing Wang 113; Xin Geng 001 (IJCAI, 2021)

Instance-Dependent Partial Label Learning. - Ning Xu 009; Congyu Qiao; Xin Geng 001; Min-Ling Zhang (NeurIPS, 2021)

Unleash the Power of Label Space: Label Enhancement for Label Distribution Learning. - Xin Geng 001 (WI/IAT, 2021)

Learning from Noisy Labels via Dynamic Loss Thresholding. - Hao Yang 015; Youzhi Jin; Ziyin Li; Deng-Bao Wang; Lei Miao; Xin Geng 001; Min-Ling Zhang (CoRR, 2021)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Lei Feng 006; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (CoRR, 2021)

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. - Lei Qi 001; Lei Wang 001; Yinghuan Shi; Xin Geng 001 (CoRR, 2021)

Practical age estimation using deep label distribution learning. - Huiying Zhang; Yu Zhang 004; Xin Geng 001 (Frontiers Comput. Sci., 2021)

Compact learning for multi-label classification. - Jiaqi Lv; Tianran Wu; Cheng-Lun Peng; Yunpeng Liu; Ning Xu 009; Xin Geng 001 (Pattern Recognit., 2021)

Label Enhancement for Label Distribution Learning. - Ning Xu 009; Yun-Peng Liu; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2021)

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. - Min-Ling Zhang; Qian-Wen Zhang; Jun-Peng Fang; Yu-Kun Li; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2021)

Learngene: From Open-World to Your Learning Task. - Qiu-Feng Wang 002; Xin Geng 001; Shuxia Lin; Shiyu Xia; Lei Qi 001; Ning Xu 009 (AAAI, 2022)

Learning from Noisy Labels via Meta Credible Label Elicitation. - Ziyang Gao; Yaping Yan; Xin Geng 001 (ICIP, 2022)

Fusion Label Enhancement for Multi-Label Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (IJCAI, 2022)

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Xin Geng 001 (IJCAI, 2022)

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation. - Jin Yuan; Feng Hou; Yangzhou Du; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (ACM Multimedia, 2022)

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. - Ning Xu 009; Congyu Qiao; Jiaqi Lv; Xin Geng 001; Min-Ling Zhang (NeurIPS, 2022)

Learning Hierarchical Graph Representation for Image Manipulation Detection. - Wenyan Pan; Zhili Zhou; Miaogen Ling; Xin Geng 001; Q. M. Jonathan Wu (CoRR, 2022)

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Xin Geng 001 (CoRR, 2022)

Label Distribution Learning for Generalizable Multi-source Person Re-identification. - Lei Qi 001; Jiaying Shen; Jiaqi Liu; Yinghuan Shi; Xin Geng 001 (CoRR, 2022)

Label distribution for multimodal machine learning. - Yi Ren; Ning Xu 009; Miaogen Ling; Xin Geng 001 (Frontiers Comput. Sci., 2022)

Weakly supervised temporal action localization with proxy metric modeling. - Hongsheng Xu; Zihan Chen; Yu Zhang 004; Xin Geng 001; Siya Mi; Zhihong Yang (Frontiers Comput. Sci., 2022)

Head Pose Estimation Based on Multivariate Label Distribution. - Xin Geng 001; Xin Qian; Zeng-Wei Huo; Yu Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multilabel Ranking With Inconsistent Rankers. - Xin Geng 001; RenYi Zheng; Jiaqi Lv; Yu Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Revisiting Facial Age Estimation With New Insights From Instance Space Analysis. - Kate Smith-Miles; Xin Geng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Re-Weighting Large Margin Label Distribution Learning for Classification. - Jing Wang 113; Xin Geng 001; Hui Xue 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Feature-Induced Label Distribution for Learning with Noisy Labels. - Minxue Zhang; Ning Xu 009; Xin Geng 001 (Pattern Recognit. Lett., 2022)

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Xin Geng 001; Yang Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning. - Chao Tan; Sheng Chen 001; Genlin Ji; Xin Geng 001 (IEEE Trans. Cybern., 2022)

Label Distribution Learning for Generalizable Multisource Person Re-Identification. - Lei Qi 001; Jiaying Shen; Jiaqi Liu; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Inf. Forensics Secur., 2022)

A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning. - Chao Tan; Sheng Chen 001; Genlin Ji; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2022)

Imbalanced Label Distribution Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Jing Wang 113; Xin Geng 001 (AAAI, 2023)

Towards Effective Visual Representations for Partial-Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Gang Niu 001; Xin Geng 001 (CVPR, 2023)

Efficient Diffusion Training via Min-SNR Weighting Strategy. - Tiankai Hang; Shuyang Gu; Chen Li; Jianmin Bao; Dong Chen 003; Han Hu 001; Xin Geng 001; Baining Guo (ICCV, 2023)

Decompositional Generation Process for Instance-Dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Xin Geng 001 (ICLR, 2023)

Progressive Purification for Instance-Dependent Partial Label Learning. - Ning Xu 009; Biao Liu; Jiaqi Lv; Congyu Qiao; Xin Geng 001 (ICML, 2023)

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. - Biao Liu; Ning Xu 009; Jiaqi Lv; Xin Geng 001 (ICML, 2023)

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. - Congyu Qiao; Ning Xu 009; Jiaqi Lv; Yi Ren; Xin Geng 001 (ICML, 2023)

Unreliable Partial Label Learning with Recursive Separation. - Yu Shi; Ning Xu 009; Hua Yuan; Xin Geng 001 (IJCAI, 2023)

Generalizable Label Distribution Learning. - Xingyu Zhao 002; Lei Qi 001; Yuexuan An; Xin Geng 001 (ACM Multimedia, 2023)

Exploring Diverse In-Context Configurations for Image Captioning. - Xu Yang 021; Yongliang Wu; Mingzhuo Yang; Haokun Chen; Xin Geng 001 (NeurIPS, 2023)

Learning From Biased Soft Labels. - Hua Yuan; Yu Shi; Ning Xu 009; Xu Yang 021; Xin Geng 001; Yong Rui (NeurIPS, 2023)

Learning From Biased Soft Labels. - Hua Yuan; Ning Xu 009; Yu Shi; Xin Geng 001; Yong Rui (CoRR, 2023)

Inaccurate Label Distribution Learning. - Zhiqiang Kou; Yuheng Jia; Xin Geng 001 (CoRR, 2023)

Data Augmentation For Label Enhancement. - Zhiqiang Kou; Yuheng Jia; Jing Wang 113; Boyu Shi; Xin Geng 001 (CoRR, 2023)

Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models. - Qiufeng Wang 002; Xu Yang 021; Shuxia Lin; Xin Geng 001 (CoRR, 2023)

Hybrid Representation Learning via Epistemic Graph. - Jin Yuan; Yang Zhang 002; Yangzhou Du; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (CoRR, 2023)

Genes in Intelligent Agents. - Fu Feng; Jing Wang 113; Congzhi Zhang; Wenqian Li; Xu Yang 021; Xin Geng 001 (CoRR, 2023)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2023)

Robust Representation Learning for Unreliable Partial Label Learning. - Yu Shi; Dong-Dong Wu; Xin Geng 001; Min-Ling Zhang (CoRR, 2023)

Can Class-Priors Help Single-Positive Multi-Label Learning? - Biao Liu; Jie Wang; Ning Xu 009; Xin Geng 001 (CoRR, 2023)

Manipulating the Label Space for In-Context Classification. - Haokun Chen; Xu Yang 021; Yuhang Huang; Zihan Wu; Jing Wang 113; Xin Geng 001 (CoRR, 2023)

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations. - Kouzhiqiang Yucheng Xie; Jing Wang 113; Yuheng Jia; Boyu Shi; Xin Geng 001 (CoRR, 2023)

Balanced masking strategy for multi-label image classification. - Jin Yuan; Yao Zhang 010; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (Neurocomputing, 2023)

LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training. - Zihan Chen; Hongyuan Zhu; Hao Cheng; Siya Mi; Yu Zhang 004; Xin Geng 001 (Pattern Recognit., 2023)

A label distribution manifold learning algorithm. - Chao Tan; Sheng Chen 001; Xin Geng 001; Genlin Ji (Pattern Recognit., 2023)

A Novel Label Enhancement Algorithm Based on Manifold Learning. - Chao Tan; Sheng Chen 001; Xin Geng 001; Genlin Ji (Pattern Recognit., 2023)

Continuous label distribution learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (Pattern Recognit., 2023)

Fast Label Enhancement for Label Distribution Learning. - Ke Wang 047; Ning Xu 009; Miaogen Ling; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Language-Guided Face Animation by Recurrent StyleGAN-Based Generator. - Tiankai Hang; Huan Yang 005; Bei Liu 001; Jianlong Fu; Xin Geng 001; Baining Guo (IEEE Trans. Multim., 2023)

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification. - Lei Qi 001; Lei Wang 001; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Multim., 2023)

Graph Attention Transformer Network for Multi-label Image Classification. - Jin Yuan; Shikai Chen; Yao Zhang 010; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Yong Rui (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Label Distribution Learning by Exploiting Label Distribution Manifold. - Jing Wang 113; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Variational Label Enhancement. - Ning Xu 009; Jun Shu; RenYi Zheng; Xin Geng 001; Deyu Meng; Min-Ling Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. - Lei Qi 001; Jiaqi Liu; Lei Wang 001; Yinghuan Shi; Xin Geng 001 (Pattern Recognit., 2023)

Progressive Enhancement of Label Distributions for Partial Multilabel Learning. - Ning Xu 009; Yun-Peng Liu; Yan Zhang; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement. - Ning Xu 009; Yong-Di Wu; Congyu Qiao; Yi Ren; Minxue Zhang; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Label distribution learning for scene text detection. - Haoyu Ma; Ningning Lu; Junjun Mei; Tao Guan; Yu Zhang 004; Xin Geng 001 (Frontiers Comput. Sci., 2023)

Motional foreground attention-based video crowd counting. - Miaogen Ling; Tianhang Pan; Yi Ren; Ke Wang 047; Xin Geng 001 (Pattern Recognit., 2023)

A Closer Look at Video Sampling for Sequential Action Recognition. - Yu Zhang 004; Junjie Zhao; Zhengjie Chen; Siya Mi; Hongyuan Zhu; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Trusted-Data-Guided Label Enhancement on Noisy Labels. - Ning Xu 009; Jia-Yu Li; Yun-Peng Liu; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Building Variable-Sized Models via Learngene Pool. - Boyu Shi; Shiyu Xia; Xu Yang 021; Haokun Chen; Zhiqiang Kou; Xin Geng 001 (AAAI, 2024)

Transformer as Linear Expansion of Learngene. - Shiyu Xia; Miaosen Zhang; Xu Yang 021; Ruiming Chen; Haokun Chen; Xin Geng 001 (AAAI, 2024)

Variational Label-Correlation Enhancement for Congestion Prediction. - Biao Liu; Congyu Qiao; Ning Xu 009; Xin Geng 001; Ziran Zhu; Jun Yang 006 (ASPDAC, 2024)

See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles. - Yu Zhang 124; Jingwei Sun 005; Li Feng; Cen Yao; Mingming Fan 001; Liuxin Zhang; Qianying Wang; Xin Geng 001; Yong Rui (CHI, 2024)

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. - Ning Xu 009; Yihao Hu 004; Congyu Qiao; Xin Geng 001 (ICML, 2024)

Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning. - Biao Liu; Ning Xu 009; Xiangyu Fang; Xin Geng 001 (ICML, 2024)

Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. - Yangfan Liu; Jiaqi Lv; Xin Geng 001; Ning Xu 009 (ICML, 2024)

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. - Congyu Qiao; Ning Xu 009; Yihao Hu 004; Xin Geng 001 (ICML, 2024)

Vision Transformers as Probabilistic Expansion from Learngene. - Qiufeng Wang 002; Xu Yang 021; Haokun Chen; Xin Geng 001 (ICML, 2024)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Jiawei Tang; Yuheng Jia; Boyu Shi; Xin Geng 001 (IJCAI, 2024)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. - Shiyu Xia; Wenxuan Zhu; Xu Yang 021; Xin Geng 001 (IJCAI, 2024)

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers. - Qiufeng Wang 002; Xu Yang 021; Fu Feng; Jing Wang 113; Xin Geng 001 (NeurIPS, 2024)

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models. - Shuxia Lin; Miaosen Zhang; Ruiming Chen; Xu Yang; Qiufeng Wang; Xin Geng 001 (NeurIPS, 2024)

What Makes Partial-Label Learning Algorithms Effective? - Jiaqi Lv; Yangfan Liu; Shiyu Xia; Ning Xu 009; Miao Xu 001; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama; Xin Geng 001 (NeurIPS, 2024)

LIVE: Learnable In-Context Vector for Visual Question Answering. - Yingzhe Peng; Chenduo Hao; Xinting Hu; Jiawei Peng; Xin Geng 001; Xu Yang 021 (NeurIPS, 2024)

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation. - Shiyu Xia; Yuankun Zu; Xu Yang 021; Xin Geng 001 (NeurIPS, 2024)

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. - Miaosen Zhang; Yixuan Wei; Zhen Xing; Yifei Ma; Zuxuan Wu; Ji Li 006; Zheng Zhang 022; Qi Dai 001; Chong Luo; Xin Geng 001; Baining Guo (NeurIPS, 2024)

Unsupervised Graphic Layout Grouping with Transformers. - Jialiang Zhu; Danqing Huang; Chunyu Wang 001; Mingxi Cheng; Ji Li 006; Han Hu 001; Xin Geng 001; Baining Guo (WACV, 2024)

Transferring Core Knowledge via Learngenes. - Fu Feng; Jing Wang 113; Xin Geng 001 (CoRR, 2024)

Inaccurate Label Distribution Learning with Dependency Noise. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2024)

Learnable In-Context Vector for Visual Question Answering. - Yingzhe Peng; Chenduo Hao; Xu Yang 021; Jiawei Peng; Xinting Hu; Xin Geng 001 (CoRR, 2024)

WAVE: Weight Template for Adaptive Initialization of Variable-sized Models. - Fu Feng; Yucheng Xie; Jing Wang 113; Xin Geng 001 (CoRR, 2024)

ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model. - Ning Xu 009; Zhaoyang Zhang; Lei Qi 001; Wensuo Wang; Chao Zhang; Zihao Ren; Huaiyuan Zhang; Xin Cheng; Yanqi Zhang; Zhichao Liu; Qingwen Wei; Shiyang Wu; et al. (CoRR, 2024)

Progressively Selective Label Enhancement for Language Model Alignment. - Biao Liu; Ning Xu 009; Xin Geng 001 (CoRR, 2024)

KIND: Knowledge Integration and Diversion in Diffusion Models. - Yucheng Xie; Fu Feng; Jing Wang 113; Xin Geng 001; Yong Rui (CoRR, 2024)

FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models. - Yucheng Xie; Fu Feng; Ruixiao Shi; Jing Wang 113; Xin Geng 001 (CoRR, 2024)

Negative-Prompt-driven Alignment for Generative Language Model. - Shiqi Qiao; Ning Xv; Biao Liu; Xin Geng 001 (CoRR, 2024)

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance. - Zhiqiang Kou; Haoyuan Xuan; Jing Wang 113; Yuheng Jia; Xin Geng 001 (CoRR, 2024)

Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning. - Congyu Qiao; Ning Xu 009; Yihao Hu 004; Xin Geng 001 (CoRR, 2024)

Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation. - Fu Feng; Yucheng Xie; Jing Wang 113; Xin Geng 001 (CoRR, 2024)

MageBench: Bridging Large Multimodal Models to Agents. - Miaosen Zhang; Qi Dai 001; Yifan Yang 005; Jianmin Bao; Dongdong Chen 001; Kai Qiu; Chong Luo; Xin Geng 001; Baining Guo (CoRR, 2024)

Driver distraction detection using semi-supervised lightweight vision transformer. - Adam A. Q. Mohammed; Xin Geng 001; Jing Wang 113; Zafar Ali (Eng. Appl. Artif. Intell., 2024)

Dynamic heterogeneous federated learning with multi-level prototypes. - Shunxin Guo; Hongsong Wang; Xin Geng 001 (Pattern Recognit., 2024)

Label enhancement via manifold approximation and projection with graph convolutional network. - Chao Tan; Sheng Chen 001; Xin Geng 001; Yunyao Zhou; Genlin Ji (Pattern Recognit., 2024)

NormAUG: Normalization-Guided Augmentation for Domain Generalization. - Lei Qi 001; Hongpeng Yang; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Image Process., 2024)

Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation. - Jin Yuan; Feng Hou; Ying Yang; Yang Zhang 002; Zhongchao Shi; Xin Geng 001; Jianping Fan 007; Zhiqiang He 002; Yong Rui (IEEE Trans. Multim., 2024)

Auto-encoding score distribution regression for action quality assessment. - Boyu Zhang; Jiayuan Chen 003; Yinfei Xu; Hui Zhang; Xu Yang 021; Xin Geng 001 (Neural Comput. Appl., 2024)

Temporal segment dropout for human action video recognition. - Yu Zhang 004; Zhengjie Chen; Tianyu Xu; Junjie Zhao; Siya Mi; Xin Geng 001; Min-Ling Zhang (Pattern Recognit., 2024)

Towards Workplace Metaverse: A Human-Centered Approach for Designing and Evaluating XR Virtual Displays. - Yu Zhang 124; Jingwei Sun 005; Qicheng Ding; Liuxin Zhang; Qianying Wang; Xin Geng 001; Yong Rui (Int. J. Hum. Comput. Interact., 2024)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Biao Liu; Lei Feng 006; Ning Xu 009; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Sequential Label Enhancement. - Yongbiao Gao; Ke Wang 047; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. - Lei Qi 001; Peng Dong; Tan Xiong; Hui Xue 002; Xin Geng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Variational Continuous Label Distribution Learning for Multi-Label Text Classification. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2024)

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. - Lei Qi 001; Hongpeng Yang; Yinghuan Shi; Xin Geng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks. - Hao Gu; Jian Gu; Keyu Peng; Ziran Zhu; Ning Xu 009; Xin Geng 001; Jun Yang 006 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Facilitating AI-Based CSI Feedback Deployment in Massive MIMO Systems With Learngene. - Xiangyi Li; Jiajia Guo; Chao-Kai Wen; Xin Geng 001; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2024)

Inaccurate Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Generalizable Metric Network for Cross-Domain Person Re-Identification. - Lei Qi 001; Ziang Liu 013; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Novel Cross-Perturbation for Single Domain Generalization. - Dongjia Zhao; Lei Qi 001; Xiao Shi 001; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning From Noisy Labels via Dynamic Loss Thresholding. - Hao Yang 015; Youzhi Jin; Ziyin Li; Deng-Bao Wang; Xin Geng 001; Min-Ling Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification. - Jing Wang 113; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Variational Label Enhancement for Instance-Dependent Partial Label Learning. - Ning Xu 009; Congyu Qiao; Yuchen Zhao; Xin Geng 001; Min-Ling Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. - Yuankun Zu; Shiyu Xia; Xu Yang; Qiufeng Wang; Han Zhang; Xin Geng 001 (AAAI, 2025)

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models. - Fu Feng; Yucheng Xie; Jing Wang 113; Xin Geng 001 (CVPR, 2025)

Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation. - Fu Feng; Yucheng Xie; Xu Yang 021; Jing Wang 113; Xin Geng 001 (CVPR, 2025)

Mimic In-Context Learning for Multimodal Tasks. - Yuchu Jiang; Jiale Fu; Chenduo Hao; Xinting Hu; Yingzhe Peng; Xin Geng 001; Xu Yang 004 (CVPR, 2025)

Selective Label Enhancement Learning for Test-Time Adaptation. - Yihao Hu 004; Congyu Qiao; Xin Geng 001; Ning Xu 009 (ICLR, 2025)

RG4LDL: Renormalization group for label distribution learning. - Chao Tan; Sheng Chen 001; Jiaxi Zhang 007; Zilong Xu; Xin Geng 001; Genlin Ji (Knowl. Based Syst., 2025)

Progressive label enhancement. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Xin Geng 001 (Pattern Recognit., 2025)

Dual-branch adjacent connection and channel mixing network for video crowd counting. - Miaogen Ling; Jixuan Chen; Yongwen Liu; Wei Fang 007; Xin Geng 001 (Pattern Recognit., 2025)

Residual k-Nearest Neighbors Label Distribution Learning. - Jing Wang 113; Fu Feng; Jianhui Lv; Xin Geng 001 (Pattern Recognit., 2025)

Label enhancement by manifold fusion of feature and label spaces. - Jing Wang 113; Zhiqiang Kou; Yuheng Jia; Jianhui Lv; Xin Geng 001 (Pattern Recognit., 2025)

CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification. - Huazhong Zhao; Lei Qi 001; Xin Geng 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Object Adaptive Self-Supervised Dense Visual Pre-Training. - Yu Zhang 004; Tao Zhang; Hongyuan Zhu; Zihan Chen; Siya Mi; Xi Peng 001; Xin Geng 001 (IEEE Trans. Image Process., 2025)

Long and Recent Preference Learning With Recent-K Items Distribution for Recommender System. - Yongbiao Gao; Sijie Niu; Guohua Lv; Miaogen Ling; Xin Geng 001 (IEEE Trans. Multim., 2025)

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization. - Yunlong Tang 004; Yuxuan Wan; Lei Qi 001; Xin Geng 001 (IEEE Trans. Multim., 2025)

STHFL: Spatio-Temporal Heterogeneous Federated Learning. - Shunxin Guo; Hongsong Wang; Shuxia Lin; Xu Yang 021; Xin Geng 001 (CoRR, 2025)

Patch-Aware Batch Normalization for Improving Cross-Domain Robustness. - Lei Qi 001; Dongjia Zhao; Yinghuan Shi; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Instance-Dependent Inaccurate Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; Biao Liu; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification. - Huazhong Zhao; Lei Qi 001; Xin Geng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation. - Zhiqiang Kou; Si Qin; Hailin Wang; Ming-Kun Xie; Shuo Chen 003; Yuheng Jia; Tongliang Liu; Masashi Sugiyama; Xin Geng 001 (CoRR, 2025)

Speculative Ensemble: Fast Large Language Model Ensemble via Speculation. - Jiale Fu; Yuchu Jiang; Junkai Chen; Jiaming Fan; Xin Geng 001; Xu Yang 021 (CoRR, 2025)

Label Distribution Learning by Partitioning Label Distribution Manifold. - Jing Wang 113; Jianhui Lv; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A SAM-guided Two-stream Lightweight Model for Anomaly Detection. - Chenghao Li; Lei Qi 001; Xin Geng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL. - Yingzhe Peng; Gongrui Zhang; Miaosen Zhang; Zhiyuan You; Jie Liu; Qipeng Zhu; Kai Yang; Xingzhong Xu; Xin Geng 001; Xu Yang 021 (CoRR, 2025)

Mimic In-Context Learning for Multimodal Tasks. - Yuchu Jiang; Jiale Fu; Chenduo Hao; Xinting Hu; Yingzhe Peng; Xin Geng 001; Xu Yang 021 (CoRR, 2025)

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization. - Huiyi Chen; Jiawei Peng; Kaihua Tang; Xin Geng 001; Xu Yang 021 (CoRR, 2025)

GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning. - Shunxin Guo; Jiaqi Lv; Qiufeng Wang; Xin Geng 001 (CoRR, 2025)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning. - Shunxin Guo; Jiaqi Lv; Xin Geng 001 (CoRR, 2025)

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Ning Xu 009; Pengfei Fang; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Distribution-Conditional Generation: From Class Distribution to Creative Generation. - Fu Feng; Yucheng Xie; Xu Yang 021; Jing Wang 113; Xin Geng 001 (CoRR, 2025)

FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning. - Ruixiao Shi; Fu Feng; Yucheng Xie; Jing Wang 113; Xin Geng 001 (CoRR, 2025)

Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization. - Shunxin Guo; Hongsong Wang; Shuxia Lin; Zhiqiang Kou; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Label Distribution Learning by Exploiting Fuzzy Label Correlation. - Jing Wang 113; Zhiqiang Kou; Yuheng Jia; Jianhui Lv; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge. - Ruiming Chen; Junming Yang; Shiyu Xia; Xu Yang 021; Jing Wang 113; Xin Geng 001 (CoRR, 2025)

BatStyler: Advancing Multi-Category Style Generation for Source-Free Domain Generalization. - Xiusheng Xu; Lei Qi 001; Jingyang Zhou; Xin Geng 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

DivControl: Knowledge Diversion for Controllable Image Generation. - Yucheng Xie; Fu Feng; Ruixiao Shi; Jing Wang 113; Yong Rui; Xin Geng 001 (CoRR, 2025)

Scalable Label Distribution Learning for Multi-Label Classification. - Xingyu Zhao 002; Yuexuan An; Lei Qi 001; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Interactive Fusion Label Enhancement for Multi-Label Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Lei Qi 001; Xin Geng 001 (ACM Trans. Knowl. Discov. Data, 2025)

Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory. - Ziyuan Gu; Qi Hong; Zhen Zhou; Xin Geng 001; Zhiyuan Liu 002; Mo Jia (IEEE Trans. Knowl. Data Eng., 2025)

CCA: collaborative competitive agents for image editing. - Tiankai Hang; Shuyang Gu; Dong Chen 003; Xin Geng 001; Baining Guo (Frontiers Comput. Sci., 2025)