Jiahua Dong

Orcid: 0000-0001-8545-4447

Affiliations:

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Chinese Academy of Sciences, Shenyang Institute of Automation, China (former)
University of Chinese Academy of Sciences, Beijing, China (PhD 2024)

According to our database¹, Jiahua Dong authored at least 90 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Learning From Each Other: Generalized Federated Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks.

[BibT_eX]

[DOI]

CoRR, May, 2026

From System 1 to System 2: A Survey of Reasoning Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Lifelong Embodied Navigation Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

Lifelong Language-Conditioned Robotic Manipulation Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Bring Your Dreams to Life: Continual Text-to-Video Customization.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Efficient and Effective Interactive 3D Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, December, 2025

PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model.

[BibT_eX]

[DOI]

CoRR, November, 2025

Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images.

[BibT_eX]

[DOI]

CoRR, September, 2025

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph.

[BibT_eX]

[DOI]

CoRR, August, 2025

Discrepancy-Aware Contrastive Adaptation in Medical Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, August, 2025

Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, August, 2025

Optimizing Vision-Language Consistency via Cross-Layer Regional Attention Alignment.

[BibT_eX]

[DOI]

CoRR, August, 2025

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting.

[BibT_eX]

[DOI]

CoRR, March, 2025

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

From System 1 to System 2: A Survey of Reasoning Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary.

[BibT_eX]

[DOI]

CoRR, January, 2025

MuseumMaker: Continual Style Customization Without Catastrophic Forgetting.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2025

Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Biol. Bioinform., 2025

DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Resource-Constrained Federated Continual Learning: What Does Matter?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Rehearsal-free Federated Domain-incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

All in One: Visual-Description-Guided Unified Point Cloud Segmentation.

[BibT_eX]

[DOI]

Zongyan Han

Mohamed El Amine Boudjoghra

Jiahua Dong

Jinhong Wang

Rao Muhammad Anwer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Create Your World: Lifelong Text-to-Image Diffusion.

[BibT_eX]

[DOI]

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

Open-Ended Online Learning for Autonomous Visual Perception.

[BibT_eX]

[DOI]

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

Self-Paced Weight Consolidation for Continual Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning.

[BibT_eX]

[DOI]

Bingtao Ma

Yang Cong

Jiahua Dong

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Gradient-Semantic Compensation for Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

Federated Incremental Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2024

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging.

[BibT_eX]

[DOI]

CoRR, 2024

Never-Ending Embodied Robot Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Learning with New Knowledge: Fundamentals, Advances, and Futures.

[BibT_eX]

[DOI]

CoRR, 2024

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FedDGP: Disentangling Global and Personal Models for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Xformer: Hybrid X-Shaped Transformer for Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Tailored multi-organ segmentation with model adaptation and ensemble.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, November, 2023

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

[BibT_eX]

[DOI]

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

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., May, 2023

Uni3DA: Universal 3D Domain Adaptation for Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2023

Federated Continual Novel Class Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

I3DOD: Towards Incremental 3D Object Detection via Prompting.

[BibT_eX]

[DOI]

IROS, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

[BibT_eX]

[DOI]

Kannappan Palaniappan

Norbert Scherer-Negenborn

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

Heterogeneous Forgetting Compensation for Class-Incremental Learning.

[BibT_eX]

[DOI]

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

Continual Named Entity Recognition without Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Federated Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

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

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report.

[BibT_eX]

[DOI]

Bahri Batuhan Bilecen

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.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Partial Visual-Tactile Fused Learning for Robotic Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

PFDN: Pyramid Feature Decoupling Network for Single Image Deraining.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Visual-Tactile Fused Graph Learning for Object Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Continuous Multi-View Human Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Evolving Metric Learning for Incremental and Decremental Features.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Fast Multi-View Outlier Detection via Deep Encoder.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Lifelong robotic visual-tactile perception learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

What and How: Generalized Lifelong Spectral Clustering via Dual Memory.

[BibT_eX]

[DOI]

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

Data Poisoning Attacks on Federated Machine Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models.

[BibT_eX]

[DOI]

CoRR, 2022

Is Out-of-Distribution Detection Learnable?

[BibT_eX]

[DOI]

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

Federated Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

L3DOC: Lifelong 3D Object Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Confident Anchor-Induced Multi-Source Free Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ronghan Chen

Yang Cong

Jiahua Dong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Partial Visual-Tactile Fused Object Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evolving Metric Learning for Incremental and Decremental Features.

[BibT_eX]

[DOI]

CoRR, 2020

Data Poisoning Attacks on Federated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation.

[BibT_eX]

[DOI]

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

2019

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Jiahua Dong

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