Chengbin Peng

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Negative Matrix Factorization

Quality Assessment

Transcription Factors

Teacher Training

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

PeerJ Comput. Sci.

Publications

Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng
Adaptive multi-scale Graph Neural Architecture Search framework. Neurocomputing 599 (2024)
Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Junjie Xiong, Jiayan Zhuang, Dongtai Liang, Chengbin Peng
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation. IEEE Trans. Multim. 26 (2024)
Baochen Yao, Li Dong, Xiaojie Qiu, Kangkang Song, Diqun Yan, Chengbin Peng
Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization. CoRR (2024)
Ruiyun Chen, Guitao Yu, Zhen Qin, Kangkang Song, Jianfei Tu, Xianliang Jiang, Dan Liang, Chengbin Peng
Patch Matching for Few-Shot Industrial Defect Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
Core-Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, Chengbin Peng
A multi-view consistency framework with semi-supervised domain adaptation. Eng. Appl. Artif. Intell. 136 (2024)
Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. Comput. Biol. Medicine 175 (2024)
Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Jiayan Zhuang, Junjie Xiong, Dongtai Liang, Chengbin Peng
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation. CoRR (2024)
Jiale Chen, Li Dong, Rangding Wang, Diqun Yan, Chengbin Peng
Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern. IEEE Signal Process. Lett. 31 (2024)
Zhiyu Wang, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Chengbin Peng
Image Restoration Quality Assessment Based on Regional Differential Information Entropy. Entropy 25 (1) (2023)
Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng
Corrigendum to "Semi-supervised semantic segmentation with cross teacher training" [Neurocomputing 508 (2022) 36-46]. Neurocomputing 516 (2023)
Baochen Yao, Hui Xiao, Jiayan Zhuang, Chengbin Peng
Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher. IEEE Robotics Autom. Lett. 8 (10) (2023)
Kailai Shen, Diqun Yan, Zhe Ye, Xianbo Xu, Jinxing Gao, Li Dong, Chengbin Peng, Kun Yang
Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM. Signal Image Video Process. 17 (7) (2023)
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
Semi-supervised learning with pseudo-negative labels for image classification. Knowl. Based Syst. 260 (2023)
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification. CoRR (2023)
Yi Zhu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Jianfeng Gu, Yiwu Fang, Chengbin Peng, Ying Zhu
Domain generalization in nematode classification. Comput. Electron. Agric. 207 (2023)
Huazheng Hao, Hui Xiao, Li Dong, Diqun Yan, Dongtai Liang, Jiayan Zhuang, Chengbin Peng
A Pseudo-Dual Self-Rectification Framework for Semantic Segmentation. ICME (2023)
Li Dong, Jiale Chen, Chengbin Peng, Yuanman Li, Weiwei Sun
Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking. ICME (2022)
Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy 24 (9) (2022)
Hui Xiao, Dong Li, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng
Semi-supervised semantic segmentation with cross teacher training. Neurocomputing 508 (2022)
Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng
Semi-Supervised Semantic Segmentation with Cross Teacher Training. CoRR (2022)
Xin Shen, Sarah Aliko, Yue Han, Jeremy I. Skipper, Chengbin Peng
Finding Core-Periphery Structures With Node Influences. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Hongpeng Pan, Guofeng Zhu, Chengbin Peng, Qing Xiao
Background subtraction for night videos. PeerJ Comput. Sci. 7 (2021)
Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng
Regional Differential Information Entropy for Super-Resolution Image Quality Assessment. CoRR (2021)
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
A prediction and imputation method for marine animal movement data. PeerJ Comput. Sci. 7 (2021)
Ka-Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng
Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Zheming Fan, Chengbin Peng, Licun Dai, Feng Cao, Jianyu Qi, Wenyi Hua
A deep learning-based ensemble method for helmet-wearing detection. PeerJ Comput. Sci. 6 (2020)
Xianbing Xu, Chengbin Peng, Jiangjian Xiao, Huimin Jing, Xiaojie Wu
A Fast Positioning Algorithm Based on 3D Posture Recognition. IScIDE (2018)
Jiaojiao He, Ken Liu, Yongping Zhang, Tuozhong Yao, Zhongjie Zhao, Jiangjian Xiao, Chengbin Peng
A Channel-Cascading Pedestrian Detection Network for Small-Size Pedestrians. IScIDE (2018)
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 22 (1) (2018)
Wei Bu, Jiangjian Xiao, Chuanhong Zhou, Minmin Yang, Chengbin Peng
A cascade framework for masked face detection. CIS/RAM (2017)
Ka-Chun Wong, Chengbin Peng, Yue Li
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Trans. Cybern. 47 (2) (2017)
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 21 (6) (2017)
Ka-Chun Wong, Yue Li, Chengbin Peng
Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells. Bioinform. 32 (3) (2016)
Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong
A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (2) (2016)
Ka-Chun Wong, Chengbin Peng, Yue Li
Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (6) (2015)
Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinform. 31 (1) (2015)
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI (2015)
Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan
Herd Clustering: A synergistic data clustering approach using collective intelligence. Appl. Soft Comput. 23 (2014)
Chengbin Peng, Tamara G. Kolda, Ali Pinar
Accelerating Community Detection by Using K-core Subgraphs. CoRR (2014)
Chengbin Peng, Ka-Chun Wong
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization. ICDM Workshops (2014)
Ka-Chun Wong, Chun-Ho Wu, Ricky K. P. Mok, Chengbin Peng, Zhaolei Zhang
Evolutionary multimodal optimization using the principle of locality. Inf. Sci. 194 (2012)
Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. ICDM (2012)
Ka-Chun Wong, Chengbin Peng, Man Hon Wong, Kwong-Sak Leung
Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Comput. 15 (8) (2011)