Towards Mitigating the Class-Imbalance Problem for Partial Label Learning. - Jing Wang 113; Min-Ling Zhang (KDD, 2018)

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

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

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

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

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)

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

JumpCrypt: Based on Precomputing Federated Learning with Homomorphic Encryption. - Yun Wang; Chong Wang; Chao Xu; Jing Wang 113 (HPCC/DSS/SmartCity/DependSys, 2023)

An Improvement Paillier Algorithm Applied to Federated Learning. - Chao Xu; Yun Wang; Jing Wang 113 (ICPADS, 2023)

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

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)

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

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Jing Wang 113 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Exploiting Multi-Label Correlation in Label Distribution Learning. - Zhiqiang Kou; Jing Wang 113; Jiawei Tang; Yuheng Jia; Boyu Shi; 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)

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)

WAVE: Weight Template for Adaptive Initialization of Variable-sized Models. - Fu Feng; Yucheng Xie; Jing Wang 113; 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)

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance. - Zhiqiang Kou; Haoyuan Xuan; Jing Wang 113; Yuheng Jia; 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)

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)

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

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)

Explaining the better generalization of label distribution learning for classification. - Jing Wang 113; Xin Geng (Sci. China Inf. Sci., 2025)

Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare. - Jing Wang 113; Mohammad Tabrez Quasim; Bo Yi (Inf. Fusion, 2025)

Progressive label enhancement. - Zhiqiang Kou; Jing Wang 113; Yuheng Jia; 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)

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)

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

Edge-Cloud Framework for Vehicle-Road Cooperative Traffic Signal Control in Augmented Internet of Things. - Lingling Zhang; Zhenxiong Zhou; Bo Yi; Jing Wang 113; Chien-Ming Chen 001; Chunyang Shi (IEEE Internet Things J., 2025)

Label distribution learning by utilizing common and label-specific feature fusion space. - Ziyun Zhang; Jing Wang 113; Xin Geng (Int. J. Mach. Learn. Cybern., 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)

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)

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