Jing Wang

Orcid: 0000-0003-2734-7138

Affiliations:
  • Southeast University, School of Computer Science and Engineering, Nanjing, China


According to our database1, Jing Wang authored at least 44 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
DivControl: Knowledge Diversion for Controllable Image Generation.
CoRR, July, 2025

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.
CoRR, June, 2025

Label Distribution Learning by Exploiting Fuzzy Label Correlation.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning.
CoRR, May, 2025

Distribution-Conditional Generation: From Class Distribution to Creative Generation.
CoRR, May, 2025

Label distribution learning by utilizing common and label-specific feature fusion space.
Int. J. Mach. Learn. Cybern., March, 2025

Edge-Cloud Framework for Vehicle-Road Cooperative Traffic Signal Control in Augmented Internet of Things.
IEEE Internet Things J., March, 2025

Label Distribution Learning by Partitioning Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

Instance-Dependent Inaccurate Label Distribution Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Label enhancement by manifold fusion of feature and label spaces.
Pattern Recognit., 2025

Residual k-Nearest Neighbors Label Distribution Learning.
Pattern Recognit., 2025

Progressive label enhancement.
Pattern Recognit., 2025

Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare.
Inf. Fusion, 2025

Explaining the better generalization of label distribution learning for classification.
Sci. China Inf. Sci., 2025

Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Inaccurate Label Distribution Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Driver distraction detection using semi-supervised lightweight vision transformer.
Eng. Appl. Artif. Intell., 2024

Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation.
CoRR, 2024

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.
CoRR, 2024

FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.
CoRR, 2024

KIND: Knowledge Integration and Diversion in Diffusion Models.
CoRR, 2024

WAVE: Weight Template for Adaptive Initialization of Variable-sized Models.
CoRR, 2024

Inaccurate Label Distribution Learning with Dependency Noise.
CoRR, 2024

Transferring Core Knowledge via Learngenes.
CoRR, 2024

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploiting Multi-Label Correlation in Label Distribution Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Label Distribution Learning by Exploiting Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations.
CoRR, 2023

Manipulating the Label Space for In-Context Classification.
CoRR, 2023

Exploiting Multi-Label Correlation in Label Distribution Learning.
CoRR, 2023

Genes in Intelligent Agents.
CoRR, 2023

Data Augmentation For Label Enhancement.
CoRR, 2023

An Improvement Paillier Algorithm Applied to Federated Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

JumpCrypt: Based on Precomputing Federated Learning with Homomorphic Encryption.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Imbalanced Label Distribution Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Re-Weighting Large Margin Label Distribution Learning for Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Learn the Highest Label and Rest Label Description Degrees.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

2019
Classification with Label Distribution Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Theoretical Analysis of Label Distribution Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Towards Mitigating the Class-Imbalance Problem for Partial Label Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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