Baoming Zhang - RankMe

40 papers A* 5C 1Misc 1Journal 16Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learnability-Driven Submodular Optimization for Active Roadside 3D Detection. CoRR Ruiyu Mao, Baoming Zhang, Nicholas Ruozzi, Yunhui Guo
2026	J	`jnl`	PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis. CoRR Dinglun He, Baoming Zhang, Xu Wang, Yao Hao, Deshan Yang, Ye Duan
2026	J	`jnl`	TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck. Neural Networks Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2025	J	`jnl`	AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time. CoRR Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang, Adrian Rodriguez, Songtao Wei, Yapeng Tian, Yunhui Guo
2025	—	`conf`	Conditional Diffusion Model for Abdominal CT Image Synthesis. ISBI Xu Wang, Dinglun He, Baoming Zhang, Yao Hao, Deshan Yang, Ye Duan
2025	J	`jnl`	Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity. Neural Networks Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2025	J	`jnl`	LaplaceConfidence: A graph-based approach for learning with noisy labels. Intell. Data Anal. Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang
2025	A*	`conf`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. AAAI Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	J	`jnl`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification. CoRR Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	A*	`conf`	PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. AAAI Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
2025	A*	`conf`	Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
2025	J	`jnl`	SafeFix: Targeted Model Repair via Controlled Image Generation. CoRR Ouyang Xu, Baoming Zhang, Ruiyu Mao, Yunhui Guo
2025	A*	`conf`	Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. ICML Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao
2024	J	`jnl`	Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. CoRR Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo
2024	J	`jnl`	GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck. CoRR Shuangjie Li, Jiangqing Song, Baoming Zhang, Gaoli Ruan, Junyuan Xie, Chongjun Wang
2024	J	`jnl`	Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise. CoRR Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2024	J	`jnl`	PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. CoRR Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
2024	Misc	`conf`	Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. ICASSP Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang
2024	A*	`conf`	Similarity-Navigated Conformal Prediction for Graph Neural Networks. NeurIPS Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
2024	J	`jnl`	Similarity-Navigated Conformal Prediction for Graph Neural Networks. CoRR Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
2023	—	`conf`	FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. DASFAA (3) Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang
2023	J	`jnl`	LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
2023	J	`jnl`	Self-supervised short text classification with heterogeneous graph neural networks. Expert Syst. J. Knowl. Eng. Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang
2022	—	`conf`	CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang
2022	C	`conf`	LSEGNN: Encode Local Topology Structure in Graph Neural Networks. IPCCC Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang
2022	—	`conf`	NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. APWeb/WAIM (1) Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang
2021	—	`conf`	A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network. NCAA Xin Chen, Yongfang Mao, Baoming Zhang, Yi Chai, Zhenli Yang
2021	—	`conf`	Application of Artificial Intelligence in Medical Imaging Diagnosis. BIC Baoming Zhang, Weili Yue, Qiang Liu, Shimin Hu
2021	—	`conf`	EPINE: Enhanced Proximity Information Network Embedding. ISPA/BDCloud/SocialCom/SustainCom Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang
2021	—	`conf`	Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. ISPA/BDCloud/SocialCom/SustainCom Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
2021	—	`conf`	QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. ISPA/BDCloud/SocialCom/SustainCom Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
2021	—	`conf`	Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery. NCAA Baoming Zhang, Yongfang Mao, Xin Chen, Yi Chai, Zhenli Yang
2019	—	`conf`	Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classification. MedPRAI Yuzhun Lin, Chuan Zhao, Daoji Li, Junfeng Xu, Baoming Zhang
2019	—	`conf`	Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification. MedPRAI Yuzhun Lin, Daoji Li, Chuan Zhao, Junfeng Xu, Baoming Zhang
2018	—	`conf`	Hierarchical Building Extraction from High-resolution Remote Sensing Imagery Based on Multi-feature and Multi-scale Method. ICMIP Yuzhun Lin, Baoming Zhang, Junfeng Xu, Jian Li, Chuan Zhao, Donghang Yu
2017	J	`jnl`	SRTM DEM-Aided Mapping Satellite-1 Image Geopositioning Without Ground Control Points. IEEE Geosci. Remote. Sens. Lett. Xiaowei Chen, Baoming Zhang, Minyi Cen, Haitao Guo, Tonggang Zhang, Chuan Zhao
2016	—	`conf`	Hierarchical Image Matching Method Based on Free-Form Linear Features. CCPR (2) Xiaowei Chen, Haitao Guo, Chuan Zhao, Baoming Zhang, Yuzhun Lin
2013	—	`conf`	An automatic coastline extraction method based on active contour model. Geoinformatics Hongwei Zhang, Baoming Zhang, Haitao Guo, Jun Lu, Hong He
2013	—	`conf`	The method for calculating exterior orientation parameters of the image based on straight line features and precision analysis. Geoinformatics Zhiqing Liu, Zhaohui Xu, Baoming Zhang, Haitao Guo, Pengcheng Li
2009	—	`conf`	An Accelerated IHS Transform Fusion of Remote Sensing Image Data Based on GPU. ESIAT (1) Jun Lu, Baoming Zhang