Chengbin Peng

59 papers A* 2A 2Journal 50Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-View Consistency Framework with Semi-Supervised Domain Adaptation.
CoRR
Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, Chengbin Peng
2026 J jnl
Defending against link prediction by residual path entropy maximization.
Expert Syst. Appl.
Ru Yuan, Pietro Liò, Xu Shen, Chengbin Peng
2026 J jnl
Exploiting Minority Pseudo-Labels for Semi-Supervised Fine-Grained Road Scene Understanding.
IEEE Trans. Intell. Transp. Syst.
Yuting Hong, Yongkang Wu, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, Chengbin Peng
2025 J jnl
Active learning with joint probabilistic modeling for point cloud semantic segmentation.
Knowl. Based Syst.
Baochen Yao, Dongjie Zhang, Jie Zhao, Ye Zheng, Chengbin Peng
2025 J jnl
An efficient and scalable semi-supervised framework for semantic segmentation.
Neural Comput. Appl.
Huazheng Hao, Hui Xiao, Junjie Xiong, Li Dong, Diqun Yan, Dongtai Liang, Jiayan Zhuang, Chengbin Peng
2025 J jnl
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings.
Artif. Intell. Medicine
Weidun Xie, Xingjian Chen, Lei Huang, Zetian Zheng, Yuchen Wang, Ruoxuan Zhang, Xiao Zhang, Zhichao Liu, Chengbin Peng, Monika Gullerova, Ka-Chun Wong
2025 J jnl
Directed Link Prediction Using GNN With Local and Global Feature Fusion.
IEEE Trans. Netw. Sci. Eng.
Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng
2025 J jnl
Directed Link Prediction using GNN with Local and Global Feature Fusion.
CoRR
Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng
2024 J jnl
A multi-view consistency framework with semi-supervised domain adaptation.
Eng. Appl. Artif. Intell.
Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, Chengbin Peng
2024 J jnl
Adaptive multi-scale Graph Neural Architecture Search framework.
Neurocomputing
Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng
2024 J jnl
Core-Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization.
IEEE Trans. Comput. Soc. Syst.
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
2024 J jnl
Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization.
CoRR
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
2024 J jnl
C²F²: Cross-Task Cross-Domain Feature Fusion for Semi-Supervised Change Detection.
IEEE Geosci. Remote. Sens. Lett.
Dongjie Zhang, Yuting Hong, Xiaojie Qiu, Li Dong, Diqun Yan, Chengbin Peng
2024 J jnl
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning.
Comput. Biol. Medicine
Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong
2024 J jnl
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving.
CoRR
Yuting Hong, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, Chengbin Peng
2024 J jnl
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance.
IEEE Trans. Knowl. Data Eng.
Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng
2024 J jnl
Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern.
IEEE Signal Process. Lett.
JiaLe Chen, Li Dong, Rangding Wang, Diqun Yan, Chengbin Peng
2024 J jnl
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation.
IEEE Trans. Multim.
Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Junjie Xiong, Jiayan Zhuang, Dongtai Liang, Chengbin Peng
2024 J jnl
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation.
CoRR
Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Jiayan Zhuang, Junjie Xiong, Dongtai Liang, Chengbin Peng
2024 J jnl
Patch Matching for Few-Shot Industrial Defect Detection.
IEEE Trans. Instrum. Meas.
Ruiyun Chen, Guitao Yu, Zhen Qin, Kangkang Song, Jianfei Tu, Xianliang Jiang, Dan Liang, Chengbin Peng
2024 J jnl
Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances.
IEEE Signal Process. Lett.
Zefeng Jiang, Baochen Yao, Kangkang Song, Xiaojie Qiu, Chengbin Peng
2024 J jnl
Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation.
IEEE Signal Process. Lett.
Pengcheng Xiang, Baochen Yao, Zefeng Jiang, Chengbin Peng
2024 J jnl
Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Baochen Yao, Li Dong, Xiaojie Qiu, Kangkang Song, Diqun Yan, Chengbin Peng
2023 A conf
A Pseudo-Dual Self-Rectification Framework for Semantic Segmentation.
ICME
Huazheng Hao, Hui Xiao, Li Dong, Diqun Yan, Dongtai Liang, Jiayan Zhuang, Chengbin Peng
2023 J jnl
Corrigendum to "Semi-supervised semantic segmentation with cross teacher training" [Neurocomputing 508 (2022) 36-46].
Neurocomputing
Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng
2023 J jnl
Domain generalization in nematode classification.
Comput. Electron. Agric.
Yi Zhu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Jianfeng Gu, Yiwu Fang, Chengbin Peng, Ying Zhu
2023 J jnl
Image Restoration Quality Assessment Based on Regional Differential Information Entropy.
Entropy
Zhiyu Wang, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Chengbin Peng
2023 J jnl
Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM.
Signal Image Video Process.
Kailai Shen, Diqun Yan, Zhe Ye, Xianbo Xu, Jinxing Gao, Li Dong, Chengbin Peng, Kun Yang
2023 J jnl
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification.
CoRR
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
2023 J jnl
Semi-supervised learning with pseudo-negative labels for image classification.
Knowl. Based Syst.
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
2023 J jnl
Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher.
IEEE Robotics Autom. Lett.
Baochen Yao, Hui Xiao, Jiayan Zhuang, Chengbin Peng
2022 J jnl
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks.
Entropy
Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
2022 J jnl
Finding Core-Periphery Structures With Node Influences.
IEEE Trans. Netw. Sci. Eng.
Xin Shen, Sarah Aliko, Yue Han, Jeremy I. Skipper, Chengbin Peng
2022 J jnl
Semi-Supervised Semantic Segmentation with Cross Teacher Training.
CoRR
Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng
2022 J jnl
Semi-supervised semantic segmentation with cross teacher training.
Neurocomputing
Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng
2022 A conf
Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking.
ICME
Li Dong, JiaLe Chen, Chengbin Peng, Yuanman Li, Weiwei Sun
2021 J jnl
A prediction and imputation method for marine animal movement data.
PeerJ Comput. Sci.
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
2021 J jnl
Background subtraction for night videos.
PeerJ Comput. Sci.
Hongpeng Pan, Guofeng Zhu, Chengbin Peng, Qing Xiao
2021 J jnl
Regional Differential Information Entropy for Super-Resolution Image Quality Assessment.
CoRR
Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng
2020 J jnl
A deep learning-based ensemble method for helmet-wearing detection.
PeerJ Comput. Sci.
Zheming Fan, Chengbin Peng, Licun Dai, Feng Cao, Jianyu Qi, Wenyi Hua
2020 J jnl
Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ka-Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng
2018 — conf
A Channel-Cascading Pedestrian Detection Network for Small-Size Pedestrians.
IScIDE
Jiaojiao He, Ken Liu, Yongping Zhang, Tuozhong Yao, Zhongjie Zhao, Jiangjian Xiao, Chengbin Peng
2018 — conf
A Fast Positioning Algorithm Based on 3D Posture Recognition.
IScIDE
Xianbing Xu, Chengbin Peng, Jiangjian Xiao, Huimin Jing, Xiaojie Wu
2018 J jnl
A scalable community detection algorithm for large graphs using stochastic block models.
Intell. Data Anal.
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2017 — conf
A cascade framework for masked face detection.
CIS/RAM
Wei Bu, Jiangjian Xiao, Chuanhong Zhou, Minmin Yang, Chengbin Peng
2017 J jnl
A scalable community detection algorithm for large graphs using stochastic block models.
Intell. Data Anal.
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2017 J jnl
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data.
IEEE Trans. Cybern.
Ka-Chun Wong, Chengbin Peng, Yue Li
2016 J jnl
A Comparison Study for DNA Motif Modeling on Protein Binding Microarray.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong
2016 J jnl
Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells.
Bioinform.
Ka-Chun Wong, Yue Li, Chengbin Peng
2015 A* conf
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models.
IJCAI
Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2015 — —
Finding Community Structures In Social Activity Data.
Chengbin Peng
2015 J jnl
Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ka-Chun Wong, Chengbin Peng, Yue Li
2015 J jnl
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
Bioinform.
Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang
2014 J jnl
Accelerating Community Detection by Using K-core Subgraphs.
CoRR
Chengbin Peng, Tamara G. Kolda, Ali Pinar
2014 — conf
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization.
ICDM Workshops
Chengbin Peng, Ka-Chun Wong
2014 J jnl
Herd Clustering: A synergistic data clustering approach using collective intelligence.
Appl. Soft Comput.
Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan
2012 J jnl
Evolutionary multimodal optimization using the principle of locality.
Inf. Sci.
Ka-Chun Wong, Chun-Ho Wu, Ricky K. P. Mok, Chengbin Peng, Zhaolei Zhang
2012 A* conf
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization.
ICDM
Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes
2011 J jnl
Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm.
Soft Comput.
Ka-Chun Wong, Chengbin Peng, Man Hon Wong, Kwong-Sak Leung