Chengbin Peng

According to our database, Chengbin Peng authored at least 46 papers between 2011 and 2024.

Collaborative distances:

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

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

Adaptive multi-scale Graph Neural Architecture Search framework.

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

Neurocomputing, 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

Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving.

Yuting Hong, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, Chengbin Peng

CoRR, 2024

Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization.

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

CoRR, 2024

DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning.

Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong

Comput. Biol. Medicine, 2024

2023

Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM.

Kailai Shen, Diqun Yan, Zhe Ye, Xianbo Xu, Jinxing Gao, Li Dong, Chengbin Peng, Kun Yang

Signal Image Video Process., October, 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

Domain generalization in nematode classification.

Yi Zhu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Jianfeng Gu, Yiwu Fang, Chengbin Peng, Ying Zhu

Comput. Electron. Agric., April, 2023

Image Restoration Quality Assessment Based on Regional Differential Information Entropy.

Zhiyu Wang, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Chengbin Peng

Entropy, January, 2023

Semi-supervised learning with pseudo-negative labels for image classification.

Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng

Knowl. Based Syst., 2023

Corrigendum to "Semi-supervised semantic segmentation with cross teacher training" [Neurocomputing 508 (2022) 36-46].

Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng

Neurocomputing, 2023

A Pseudo-Dual Self-Rectification Framework for Semantic Segmentation.

Huazheng Hao, Hui Xiao, Li Dong, Diqun Yan, Dongtai Liang, Jiayan Zhuang, Chengbin Peng

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Semi-supervised semantic segmentation with cross teacher training.

Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng

Neurocomputing, 2022

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

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

Entropy, 2022

Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking.

Li Dong, Jiale Chen, Chengbin Peng, Yuanman Li, Weiwei Sun

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Background subtraction for night videos.

Hongpeng Pan, Guofeng Zhu, Chengbin Peng, Qing Xiao

PeerJ Comput. Sci., 2021

A prediction and imputation method for marine animal movement data.

Xinqing Li, Tanguy Tresor Sindihebura, Lei Zhou, Carlos M. Duarte, Daniel P. Costa, Mark A. Hindell, Clive McMahon, Mônica M. C. Muelbert, Xiangliang Zhang, Chengbin Peng

PeerJ Comput. Sci., 2021

Regional Differential Information Entropy for Super-Resolution Image Quality Assessment.

Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng

CoRR, 2021

2020

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Ka-Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A deep learning-based ensemble method for helmet-wearing detection.

Zheming Fan, Chengbin Peng, Licun Dai, Feng Cao, Jianyu Qi, Wenyi Hua

PeerJ Comput. Sci., 2020

2018

A Fast Positioning Algorithm Based on 3D Posture Recognition.

Xianbing Xu, Chengbin Peng, Jiangjian Xiao, Huimin Jing, Xiaojie Wu

Proceedings of the Intelligence Science and Big Data Engineering, 2018

A Channel-Cascading Pedestrian Detection Network for Small-Size Pedestrians.

Jiaojiao He, Ken Liu, Yongping Zhang, Tuozhong Yao, Zhongjie Zhao, Jiangjian Xiao, Chengbin Peng

Proceedings of the Intelligence Science and Big Data Engineering, 2018

2017

Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data.

Ka-Chun Wong, Chengbin Peng, Yue Li

IEEE Trans. Cybern., 2017

A scalable community detection algorithm for large graphs using stochastic block models.

Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes

Intell. Data Anal., 2017

A cascade framework for masked face detection.

Wei Bu, Jiangjian Xiao, Chuanhong Zhou, Minmin Yang, Chengbin Peng

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

2016

A Comparison Study for DNA Motif Modeling on Protein Binding Microarray.

Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells.

Ka-Chun Wong, Yue Li, Chengbin Peng

Bioinform., 2016

2015

Finding Community Structures In Social Activity Data.

Chengbin Peng

PhD thesis, 2015

Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites.

Ka-Chun Wong, Chengbin Peng, Yue Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.

Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang

Bioinform., 2015

2014

Accelerating Community Detection by Using K-core Subgraphs.

Chengbin Peng, Tamara G. Kolda, Ali Pinar

CoRR, 2014

Herd Clustering: A synergistic data clustering approach using collective intelligence.

Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan

Appl. Soft Comput., 2014

Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization.

Chengbin Peng, Ka-Chun Wong

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2012

Evolutionary multimodal optimization using the principle of locality.

Ka-Chun Wong, Chun-Ho Wu, Ricky K. P. Mok, Chengbin Peng, Zhaolei Zhang

Inf. Sci., 2012

Multiplicative Algorithms for Constrained Non-negative Matrix Factorization.

Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm.

Ka-Chun Wong, Chengbin Peng, Man Hon Wong, Kwong-Sak Leung

Soft Comput., 2011