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Author search results
Exact matches
- Jiahua Dong — disambiguation page
- Jiahua Dong 0001
Chinese Academy of Sciences, Shenyang Institute of Automation, China - Jiahua Dong 0002
University of Illinois Urbana-Champaign. IL, USA
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Publication search results
found 164 matches
- 2024
- Jiancong Xie, Jiahua Rao, Junjie Xie, Huiying Zhao, Yuedong Yang:
Predicting disease-gene associations through self-supervised mutual infomax graph convolution network. Comput. Biol. Medicine 170: 108048 (2024) - Jiancong Xie, Yi Wang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang:
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph. J. Chem. Inf. Model. 64(6): 1945-1954 (2024) - Haixia Pan, Han Zhao, Xingyun Wei, Dongdong Zhang, Biao Dong, Jiahua Lan:
Study on defect detection of metal castings based on supervised enhancement and attention distillation. Mach. Vis. Appl. 35(3): 57 (2024) - Gansen Hu, Zhaoguo Wang, Chuzhe Tang, Jiahuan Shen, Zhiyuan Dong, Sheng Yao, Haibo Chen:
WeBridge: Synthesizing Stored Procedures for Large-Scale Real-World Web Applications. Proc. ACM Manag. Data 2(1): 64:1-64:29 (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): 1664-1681 (2024) - Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (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): 2128-2135 (2024) - Zhenjiang Wu, Fengmei Yao, Jiahua Zhang, Enhua Ma, Liping Yao, Zhaowei Dong:
Genetic Programming Guided Mapping of Forest Canopy Height by Combining LiDAR Satellites with Sentinel-1/2, Terrain, and Climate Data. Remote. Sens. 16(1): 110 (2024) - Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong:
Self-Paced Weight Consolidation for Continual Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2209-2222 (2024) - Jinming Xu, Jiufa Zhong, Jiahua Kang, Wei Dong, Shaojun Xie:
Stability Analysis and Robust Parameter Design of DC-Voltage Loop for Three-Phase Grid-Connected PV Inverter Under Weak Grid Condition. IEEE Trans. Ind. Electron. 71(4): 3776-3787 (2024) - Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding:
Gradient-Semantic Compensation for Incremental Semantic Segmentation. IEEE Trans. Multim. 26: 5561-5574 (2024) - 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): 324-337 (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 abs/2401.13601 (2024) - Jiahua Dong, Yu-Xiong Wang:
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. CoRR abs/2402.00864 (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 abs/2402.02268 (2024) - Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang:
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. CoRR abs/2402.04710 (2024) - Wenqi Liang, Gan Sun, Qian He, Yu Ren, Jiahua Dong, Yang Cong:
Never-Ending Embodied Robot Learning. CoRR abs/2403.00336 (2024) - 2023
- Dongdong Feng, Siyao Li, Zhiming Yang, Yong Xiang, Jiahuan Zheng, Xiaowu He:
Research of Deep Learning and Adaptive Threshold-Based Signaling Storm Prediction and Top Cause Tracking. IEEE Access 11: 120603-120611 (2023) - Jiahuan Zheng, Dongdong Feng, Zhiming Yang, Yong Xiang, Haiping Zhang, Siyao Li:
TransKS: An Anomaly Detection Method for Telecommunication Networks Based on Deep Learning. IEEE Access 11: 118048-118060 (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: 107467 (2023) - Dongsheng Xu, Jiahuan Pang, Huan Su:
Exponential synchronization of multilayer networks with white-noise-based coupling via intermittent periodic event-triggered control. J. Frankl. Inst. 360(7): 4896-4922 (2023) - Weixia Tang, Ming Zhang, Changyan Xu, Yeqin Shao, Jiahuan Tang, Shenchu Gong, Hao Dong, Meihong Sheng:
Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions - a retrospective study. PeerJ Comput. Sci. 9: e1460 (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): 2828-2835 (2023) - Nan Jiang, Huagui Du, Shaodi Ge, Jiahua Zhu, Dong Feng, Jian Wang, Xiaotao Huang:
High-Resolution Azimuth Missing Data SAR Imaging Based on Sparse Representation Autofocusing. Remote. Sens. 15(13): 3425 (2023) - Nan Jiang, Jiahua Zhu, Dong Feng, Zhuang Xie, Jian Wang, Xiaotao Huang:
High-Resolution SAR Imaging with Azimuth Missing Data Based on Sub-Echo Segmentation and Reconstruction. Remote. Sens. 15(9): 2428 (2023) - Haixia Pan, Jiahua Lan, Hongqiang Wang, Yanan Li, Meng Zhang, Mojie Ma, Dongdong Zhang, Xiaoran Zhao:
UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection. Sensors 23(10): 4859 (2023) - Nan Jiang, Dong Feng, Jian Wang, Jiahua Zhu, Xiaotao Huang:
Along-Track Swarm SAR: Echo Modeling and Sub-Aperture Collaboration Imaging Based on Sparse Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5602-5617 (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): 379-392 (2023) - Shiming Wang, Jie Li, Dong Wang, Dechen Xu, Jiahuan Jin, Yadong Wang:
Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation. IEEE J. Biomed. Health Informatics 27(10): 5165-5176 (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): 6955-6967 (2023)
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