Jiahua Dong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 74

Top Topics

Domain Adaptation

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Bingtao Ma, Yang Cong, Jiahua Dong
Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning. IEEE Trans. Syst. Man Cybern. Syst. 54 (1) (2024)
Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. CoRR (2024)
Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. CoRR (2024)
Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan
Rehearsal-free Federated Domain-incremental Learning. CoRR (2024)
Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dan Su, Chenhui Chu, Dong Yu
MM-LLMs: Recent Advances in MultiModal Large Language Models. CoRR (2024)
Jiahua Dong, Yu-Xiong Wang
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. CoRR (2024)
Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Xieyuanli Chen, Feng Zhu
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. IEEE Robotics Autom. Lett. 9 (3) (2024)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
Xformer: Hybrid X-Shaped Transformer for Image Denoising. ICLR (2024)
Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
Federated Incremental Semantic Segmentation. CoRR (2023)
Jiahua Dong, Yu-Xiong Wang
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. NeurIPS (2023)
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
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. CIKM (2023)
Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun
Heterogeneous Forgetting Compensation for Class-Incremental Learning. CoRR (2023)
Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. CVPR Workshops (2023)
Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu
Federated Continual Novel Class Learning. CoRR (2023)
Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang
I3DOD: Towards Incremental 3D Object Detection via Prompting. IROS (2023)
Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong
Self-paced Weight Consolidation for Continual Learning. CoRR (2023)
Yunge Cui, Xieyuanli Chen, Yinlong Zhang, Jiahua Dong, Qingxiao Wu, Feng Zhu
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM. IEEE Robotics Autom. Lett. 8 (5) (2023)
Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang
Continual Named Entity Recognition without Catastrophic Forgetting. CoRR (2023)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR (2023)
Yu Ren, Yang Cong, Jiahua Dong, Gan Sun
Uni3DA: Universal 3D Domain Adaptation for Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (1) (2023)
Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS (2023)
Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble. CoRR (2023)
Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR (2023)
Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang
I3DOD: Towards Incremental 3D Object Detection via Prompting. CoRR (2023)
Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
Federated Incremental Semantic Segmentation. CVPR (2023)
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
Create Your World: Lifelong Text-to-Image Diffusion. CoRR (2023)
Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding
Gradient-Semantic Compensation for Incremental Semantic Segmentation. CoRR (2023)
Jiahua Dong, Guohua Cheng, Yue Zhang, Chengtao Peng, Yu Song, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen
Tailored multi-organ segmentation with model adaptation and ensemble. Comput. Biol. Medicine 166 (2023)
Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR (2023)
Jiahua Dong, Jeroen van Ameijde
The Impact of Spatial Layout on Orientation and Wayfinding in Public Housing Estates Using Isovist Polygons and Shape Matching Algorithms. CAAD Futures (2023)
Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. CoRR (2023)
Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang
Continual Named Entity Recognition without Catastrophic Forgetting. EMNLP (2023)
Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun
Heterogeneous Forgetting Compensation for Class-Incremental Learning. ICCV (2023)
Anqi Wang, Jiahua Dong, Jiachuan Shen, Lik-Hang Lee, Pan Hui
Towards Computational Architecture of Liberty: A Comprehensive Survey on Deep Learning for Generating Virtual Architecture in the Metaverse. CoRR (2023)
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops (2023)
Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu
Federated Class-Incremental Learning. CoRR (2022)
Tao Zhang, Yang Cong, Jiahua Dong, Dongdong Hou
Partial Visual-Tactile Fused Learning for Robotic Object Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52 (7) (2022)
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Is Out-of-Distribution Detection Learnable? CoRR (2022)
Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR (2022)
Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Feng Zhu
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. CoRR (2022)
Qiang Wang, Gan Sun, Jiahua Dong, Yulun Zhang
PFDN: Pyramid Feature Decoupling Network for Single Image Deraining. IEEE Trans. Image Process. 31 (2022)
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong
Visual-Tactile Fused Graph Learning for Object Clustering. IEEE Trans. Cybern. 52 (11) (2022)
Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li
Fast Multi-View Outlier Detection via Deep Encoder. IEEE Trans. Big Data 8 (4) (2022)
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu
Data Poisoning Attacks on Federated Machine Learning. IEEE Internet Things J. 9 (13) (2022)
Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu
What and How: Generalized Lifelong Spectral Clustering via Dual Memory. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding
Continuous Multi-View Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32 (6) (2022)
Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang
Lifelong robotic visual-tactile perception learning. Pattern Recognit. 121 (2022)
Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CVPR (2022)
Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu
Federated Class-Incremental Learning. CVPR (2022)
Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xu Tang, Xiaowei Xu
Evolving Metric Learning for Incremental and Decremental Features. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Yunge Cui, Yinlong Zhang, Xieyuanli Chen, Jiahua Dong, Qingxiao Wu, Feng Zhu
BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM. CoRR (2022)
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Is Out-of-Distribution Detection Learnable? NeurIPS (2022)
Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. AAAI (2021)
Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31 (5) (2021)
Yuyang Liu, Yang Cong, Gan Sun, Tao Zhang, Jiahua Dong, Hongsen Liu
L3DOC: Lifelong 3D Object Classification. IEEE Trans. Image Process. 30 (2021)
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
Generative Partial Visual-Tactile Fused Object Clustering. AAAI (2021)
Ronghan Chen, Yang Cong, Jiahua Dong
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. CoRR (2021)
Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu
Confident Anchor-Induced Multi-Source Free Domain Adaptation. NeurIPS (2021)
Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CoRR (2021)
Ronghan Chen, Yang Cong, Jiahua Dong
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. ICCV (2021)
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu
Data Poisoning Attacks on Federated Machine Learning. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. CVPR (2020)
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
Generative Partial Visual-Tactile Fused Object Clustering. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xiaowei Xu
Evolving Metric Learning for Incremental and Decremental Features. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. ECCV (8) (2020)
Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. CoRR (2020)
Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. CoRR (2019)
Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. ICCV (2019)