Jiahua Dong

According to our database, Jiahua Dong authored at least 55 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Jiahang Tu, Qian Feng, Chufan Chen, Jiahua Dong, Hanbin Zhao, Chao Zhang, Hui Qian

CoRR, January, 2025

2024

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

Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong

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

Open-Ended Online Learning for Autonomous Visual Perception.

Haibin Yu, Yang Cong, Gan Sun, Dongdong Hou, Yuyang Liu, Jiahua Dong

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

Self-Paced Weight Consolidation for Continual Learning.

Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong

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

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

Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool

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

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

Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding

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

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

Bingtao Ma, Yang Cong, Jiahua Dong

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

Gradient-Semantic Compensation for Incremental Semantic Segmentation.

Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding

IEEE Trans. Multim., 2024

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

Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Xieyuanli Chen, Feng Zhu

IEEE Robotics Autom. Lett., 2024

Federated Incremental Named Entity Recognition.

Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dong Yu

CoRR, 2024

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

Meng Cao, Yuyang Liu, Yingfei Liu, Tiancai Wang, Jiahua Dong, Henghui Ding, Xiangyu Zhang, Ian Reid, Xiaodan Liang

CoRR, 2024

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

Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian

CoRR, 2024

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging.

Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan

CoRR, 2024

MuseumMaker: Continual Style Customization without Catastrophic Forgetting.

Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong

CoRR, 2024

Never-Ending Embodied Robot Learning.

Wenqi Liang, Gan Sun, Qian He, Yu Ren, Jiahua Dong, Yang Cong

CoRR, 2024

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

Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu

CoRR, 2024

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

Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Xformer: Hybrid X-Shaped Transformer for Image Denoising.

Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Duzhen Zhang, Yahan Yu, Jiahua Dong, Chenxing Li, Dan Su, Chenhui Chu, Dong Yu

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

2023

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

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

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

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

Yunge Cui, Xieyuanli Chen, Yinlong Zhang, Jiahua Dong, Qingxiao Wu, Feng Zhu

IEEE Robotics Autom. Lett., May, 2023

Uni3DA: Universal 3D Domain Adaptation for Object Recognition.

Yu Ren, Yang Cong, Jiahua Dong, Gan Sun

IEEE Trans. Circuits Syst. Video Technol., 2023

Federated Continual Novel Class Learning.

Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu

CoRR, 2023

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

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

CoRR, 2023

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

Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai

CoRR, 2023

I3DOD: Towards Incremental 3D Object Detection via Prompting.

Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang

IROS, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

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

Heterogeneous Forgetting Compensation for Class-Incremental Learning.

Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun

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

Continual Named Entity Recognition without Catastrophic Forgetting.

Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang

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

Federated Incremental Semantic Segmentation.

Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai

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.

Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen

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

2022

Partial Visual-Tactile Fused Learning for Robotic Object Recognition.

Tao Zhang, Yang Cong, Jiahua Dong, Dongdong Hou

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

PFDN: Pyramid Feature Decoupling Network for Single Image Deraining.

Qiang Wang, Gan Sun, Jiahua Dong, Yulun Zhang

IEEE Trans. Image Process., 2022

Visual-Tactile Fused Graph Learning for Object Clustering.

Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong

IEEE Trans. Cybern., 2022

Continuous Multi-View Human Action Recognition.

Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2022

Evolving Metric Learning for Incremental and Decremental Features.

Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xu Tang, Xiaowei Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

Fast Multi-View Outlier Detection via Deep Encoder.

Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li

IEEE Trans. Big Data, 2022

Lifelong robotic visual-tactile perception learning.

Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang

Pattern Recognit., 2022

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

Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu

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

Data Poisoning Attacks on Federated Machine Learning.

Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu

IEEE Internet Things J., 2022

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

Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Feng Zhu

CoRR, 2022

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

Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu

CoRR, 2022

Is Out-of-Distribution Detection Learnable?

Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

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

Federated Class-Incremental Learning.

Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

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

2021

L3DOC: Lifelong 3D Object Classification.

Yuyang Liu, Yang Cong, Gan Sun, Tao Zhang, Jiahua Dong, Hongsen Liu

IEEE Trans. Image Process., 2021

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

Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2021

Confident Anchor-Induced Multi-Source Free Domain Adaptation.

Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu

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.

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.

Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding

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

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting.

Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang

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

2020

Evolving Metric Learning for Incremental and Decremental Features.

Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xiaowei Xu

CoRR, 2020

Data Poisoning Attacks on Federated Machine Learning.

Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu

CoRR, 2020

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

Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu

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

2019

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation.

Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou

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