Jiahua Dong

Orcid: 0000-0001-8545-4447

Affiliations:
  • Chinese Academy of Sciences, Shenyang Institute of Automation, China
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Jiahua Dong authored at least 41 papers between 2019 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Self-Paced Weight Consolidation for Continual Learning.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

No One Left Behind: Real-World Federated Class-Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Gradient-Semantic Compensation for Incremental Semantic Segmentation.
IEEE Trans. Multim., 2024

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud.
IEEE Robotics Autom. Lett., 2024

Never-Ending Embodied Robot Learning.
CoRR, 2024

MM-LLMs: Recent Advances in MultiModal Large Language Models.
CoRR, 2024

2023
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.
IEEE Robotics Autom. Lett., May, 2023

Uni3DA: Universal 3D Domain Adaptation for Object Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2023

Create Your World: Lifelong Text-to-Image Diffusion.
CoRR, 2023

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation.
CoRR, 2023

No One Left Behind: Real-World Federated Class-Incremental Learning.
CoRR, 2023

I3DOD: Towards Incremental 3D Object Detection via Prompting.
IROS, 2023

Heterogeneous Forgetting Compensation for Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Continual Named Entity Recognition without Catastrophic Forgetting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Federated Incremental Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Partial Visual-Tactile Fused Learning for Robotic Object Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2022

PFDN: Pyramid Feature Decoupling Network for Single Image Deraining.
IEEE Trans. Image Process., 2022

Visual-Tactile Fused Graph Learning for Object Clustering.
IEEE Trans. Cybern., 2022

Continuous Multi-View Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

Evolving Metric Learning for Incremental and Decremental Features.
IEEE Trans. Circuits Syst. Video Technol., 2022

Fast Multi-View Outlier Detection via Deep Encoder.
IEEE Trans. Big Data, 2022

Lifelong robotic visual-tactile perception learning.
Pattern Recognit., 2022

What and How: Generalized Lifelong Spectral Clustering via Dual Memory.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Data Poisoning Attacks on Federated Machine Learning.
IEEE Internet Things J., 2022

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud.
CoRR, 2022

Federated Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
L3DOC: Lifelong 3D Object Classification.
IEEE Trans. Image Process., 2021

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Confident Anchor-Induced Multi-Source Free Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Partial Visual-Tactile Fused Object Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Evolving Metric Learning for Incremental and Decremental Features.
CoRR, 2020

Data Poisoning Attacks on Federated Machine Learning.
CoRR, 2020

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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