Chengbin Peng

According to our database, Chengbin Peng authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Directed Link Prediction Using GNN With Local and Global Feature Fusion.

Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng

IEEE Trans. Netw. Sci. Eng., 2025

Active learning with joint probabilistic modeling for point cloud semantic segmentation.

Baochen Yao, Dongjie Zhang, Jie Zhao, Ye Zheng, Chengbin Peng

Knowl. Based Syst., 2025

2024

Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance.

Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng

IEEE Trans. Knowl. Data Eng., November, 2024

Core-Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization.

Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng

IEEE Trans. Comput. Soc. Syst., June, 2024

Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation.

Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Junjie Xiong, Jiayan Zhuang, Dongtai Liang, Chengbin Peng

IEEE Trans. Multim., 2024

Patch Matching for Few-Shot Industrial Defect Detection.

Ruiyun Chen, Guitao Yu, Zhen Qin, Kangkang Song, Jianfei Tu, Xianliang Jiang, Dan Liang, Chengbin Peng

IEEE Trans. Instrum. Meas., 2024

Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation.

Baochen Yao, Li Dong, Xiaojie Qiu, Kangkang Song, Diqun Yan, Chengbin Peng

IEEE Trans. Geosci. Remote. Sens., 2024

Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation.

Pengcheng Xiang, Baochen Yao, Zefeng Jiang, Chengbin Peng

IEEE Signal Process. Lett., 2024

Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances.

Zefeng Jiang, Baochen Yao, Kangkang Song, Xiaojie Qiu, Chengbin Peng

IEEE Signal Process. Lett., 2024

Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern.

Jiale Chen, Li Dong, Rangding Wang, Diqun Yan, Chengbin Peng

IEEE Signal Process. Lett., 2024

C²F²: Cross-Task Cross-Domain Feature Fusion for Semi-Supervised Change Detection.

Dongjie Zhang, Yuting Hong, Xiaojie Qiu, Li Dong, Diqun Yan, Chengbin Peng

IEEE Geosci. Remote. Sens. Lett., 2024

A multi-view consistency framework with semi-supervised domain adaptation.

Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, Chengbin Peng

Eng. Appl. Artif. Intell., 2024

2023

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher.

Baochen Yao, Hui Xiao, Jiayan Zhuang, Chengbin Peng

IEEE Robotics Autom. Lett., October, 2023

2022

Finding Core-Periphery Structures With Node Influences.

Xin Shen, Sarah Aliko, Yue Han, Jeremy I. Skipper, Chengbin Peng

IEEE Trans. Netw. Sci. Eng., 2022

A Block-Based Adaptive Decoupling Framework for Graph Neural Networks.

Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng

Entropy, 2022