Baoming Zhang

According to our database, Baoming Zhang authored at least 33 papers between 2009 and 2025.

Collaborative distances:

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

2025

SafeFix: Targeted Model Repair via Controlled Image Generation.

Ouyang Xu, Baoming Zhang, Ruiyu Mao, Yunhui Guo

CoRR, August, 2025

AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time.

Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang, Adrian Rodriguez, Songtao Wei, Yapeng Tian, Yunhui Guo

CoRR, June, 2025

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity.

Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie

Neural Networks, 2025

LaplaceConfidence: A graph-based approach for learning with noisy labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang

Intell. Data Anal., 2025

Conditional Diffusion Model for Abdominal CT Image Synthesis.

Xu Wang, Dinglun He, Baoming Zhang, Yao Hao, Deshan Yang, Ye Duan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification.

Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation.

Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data.

Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation.

Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo

CoRR, 2024

GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck.

Shuangjie Li, Jiangqing Song, Baoming Zhang, Gaoli Ruan, Junyuan Xie, Chongjun Wang

CoRR, 2024

Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise.

Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie

CoRR, 2024

Similarity-Navigated Conformal Prediction for Graph Neural Networks.

Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang

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

Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation.

Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Self-supervised short text classification with heterogeneous graph neural networks.

Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang

Expert Syst. J. Knowl. Eng., July, 2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang

CoRR, 2023

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction.

Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

CopGAT: Co-propagation Self-supervised Graph Attention Network.

Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

LSEGNN: Encode Local Topology Structure in Graph Neural Networks.

Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang

Proceedings of the IEEE International Performance, 2022

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks.

Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery.

Baoming Zhang, Yongfang Mao, Xin Chen, Yi Chai, Zhenli Yang

Proceedings of the Neural Computing for Advanced Applications, 2021

A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network.

Xin Chen, Yongfang Mao, Baoming Zhang, Yi Chai, Zhenli Yang

Proceedings of the Neural Computing for Advanced Applications, 2021

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

EPINE: Enhanced Proximity Information Network Embedding.

Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Application of Artificial Intelligence in Medical Imaging Diagnosis.

Baoming Zhang, Weili Yue, Qiang Liu, Shimin Hu

Proceedings of the BIC 2021: International Conference on Bioinformatics and Intelligent Computing, 2021

2019

Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification.

Yuzhun Lin, Chuan Zhao, Daoji Li, Junfeng Xu, Baoming Zhang

Proceedings of the Pattern Recognition and Artificial Intelligence, 2019

Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification.

Yuzhun Lin, Daoji Li, Chuan Zhao, Junfeng Xu, Baoming Zhang

Proceedings of the Pattern Recognition and Artificial Intelligence, 2019

2018

Hierarchical Building Extraction from High-resolution Remote Sensing Imagery Based on Multi-feature and Multi-scale Method.

Yuzhun Lin, Baoming Zhang, Junfeng Xu, Jian Li, Chuan Zhao, Donghang Yu

Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018

2017

SRTM DEM-Aided Mapping Satellite-1 Image Geopositioning Without Ground Control Points.

Xiaowei Chen, Baoming Zhang, Minyi Cen, Haitao Guo, Tonggang Zhang, Chuan Zhao

IEEE Geosci. Remote. Sens. Lett., 2017

2016

Hierarchical Image Matching Method Based on Free-Form Linear Features.

Xiaowei Chen, Haitao Guo, Chuan Zhao, Baoming Zhang, Yuzhun Lin

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2013

An automatic coastline extraction method based on active contour model.

Hongwei Zhang, Baoming Zhang, Haitao Guo, Jun Lu, Hong He

Proceedings of the 21st International Conference on Geoinformatics, 2013

The method for calculating exterior orientation parameters of the image based on straight line features and precision analysis.

Zhiqing Liu, Zhaohui Xu, Baoming Zhang, Haitao Guo, Pengcheng Li

Proceedings of the 21st International Conference on Geoinformatics, 2013

2009

An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU.

Jun Lu, Baoming Zhang

Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology, 2009