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ORCIDChengbin Peng 0001
Person information
- affiliation: Ningbo University, College of Information Science and Engineering, China
- affiliation (PhD 2015): King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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2020 – today
- 2025
[j39]Weidun Xie
, Xingjian Chen, Lei Huang, Zetian Zheng, Yuchen Wang, Ruoxuan Zhang, Xiao Zhang, Zhichao Liu, Chengbin Peng, Monika Gullerova, Ka-Chun Wong:
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings. Artif. Intell. Medicine 168: 103202 (2025)- [j38]Baochen Yao, Dongjie Zhang, Jie Zhao, Ye Zheng, Chengbin Peng:
Active learning with joint probabilistic modeling for point cloud semantic segmentation. Knowl. Based Syst. 328: 114171 (2025) - [j37]Huazheng Hao, Hui Xiao, Junjie Xiong, Li Dong, Diqun Yan, Dongtai Liang, Jiayan Zhuang, Chengbin Peng:
An efficient and scalable semi-supervised framework for semantic segmentation. Neural Comput. Appl. 37(7): 5481-5497 (2025) - [j36]Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng:
Directed Link Prediction Using GNN With Local and Global Feature Fusion. IEEE Trans. Netw. Sci. Eng. 12(1): 409-422 (2025) - [i8]Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng:
Directed Link Prediction using GNN with Local and Global Feature Fusion. CoRR abs/2506.20235 (2025) - 2024
- [j35]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: 108487 (2024) - [j34]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: 108886 (2024) - [j33]Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng:
Adaptive multi-scale Graph Neural Architecture Search framework. Neurocomputing 599: 128094 (2024) - [j32]Dongjie Zhang, Yuting Hong, Xiaojie Qiu, Li Dong, Diqun Yan, Chengbin Peng:
C²F²: Cross-Task Cross-Domain Feature Fusion for Semi-Supervised Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j31]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: 286-290 (2024) - [j30]Zefeng Jiang, Baochen Yao, Kangkang Song, Xiaojie Qiu, Chengbin Peng:
Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances. IEEE Signal Process. Lett. 31: 2565-2569 (2024) - [j29]Pengcheng Xiang, Baochen Yao, Zefeng Jiang, Chengbin Peng:
Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation. IEEE Signal Process. Lett. 31: 3015-3019 (2024) - [j28]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): 4102-4113 (2024) - [j27]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: 1-13 (2024) - [j26]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: 1-11 (2024) - [j25]Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng:
Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance. IEEE Trans. Knowl. Data Eng. 36(11): 6330-6343 (2024) - [j24]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: 8077-8087 (2024) - [i7]Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng:
Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization. CoRR abs/2401.08227 (2024) - [i6]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 abs/2404.02065 (2024) - [i5]Yuting Hong, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, Chengbin Peng:
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving. CoRR abs/2409.12680 (2024) - 2023
- [j23]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: 107710 (2023) - [j22]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): 144 (2023) - [j21]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: 48 (2023) - [j20]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: 110166 (2023) - [j19]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): 6347-6354 (2023) - [j18]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): 3377-3385 (2023) - [c8]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: 408-413 - [i4]Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng:
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification. CoRR abs/2301.03976 (2023) - 2022
- [j17]Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng:
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy 24(9): 1190 (2022) - [j16]Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng:
Semi-supervised semantic segmentation with cross teacher training. Neurocomputing 508: 36-46 (2022) - [j15]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): 875-887 (2022) - [c7]Li Dong, Jiale Chen, Chengbin Peng, Yuanman Li, Weiwei Sun:
Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking. ICME 2022: 1-6 - [i3]Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng:
Semi-Supervised Semantic Segmentation with Cross Teacher Training. CoRR abs/2209.01327 (2022) - 2021
- [j14]Hongpeng Pan, Guofeng Zhu, Chengbin Peng, Qing Xiao:
Background subtraction for night videos. PeerJ Comput. Sci. 7: e592 (2021) - [j13]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: e656 (2021) - [i2]Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng:
Regional Differential Information Entropy for Super-Resolution Image Quality Assessment. CoRR abs/2107.03642 (2021) - 2020
- [j12]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: e311 (2020) - [j11]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): 327-333 (2020)
2010 – 2019
- 2018
- [j10]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) - [c6]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: 325-338 - [c5]Xianbing Xu, Chengbin Peng, Jiangjian Xiao, Huimin Jing, Xiaojie Wu:
A Fast Positioning Algorithm Based on 3D Posture Recognition. IScIDE 2018: 360-370 - 2017
- [j9]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): 1463-1485 (2017) - [j8]Ka-Chun Wong, Chengbin Peng, Yue Li:
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Trans. Cybern. 47(2): 415-424 (2017) - [c4]Wei Bu, Jiangjian Xiao, Chuanhong Zhou, Minmin Yang, Chengbin Peng:
A cascade framework for masked face detection. CIS/RAM 2017: 458-462 - 2016
- [j7]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): 321-324 (2016) - [j6]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): 261-271 (2016) - 2015
- [b1]Chengbin Peng:
Finding Community Structures In Social Activity Data. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2015 - [j5]Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang:
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinform. 31(1): 17-24 (2015) - [j4]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): 1416-1428 (2015) - [c3]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: 2090-2096 - 2014
- [j3]Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan:
Herd Clustering: A synergistic data clustering approach using collective intelligence. Appl. Soft Comput. 23: 61-75 (2014) - [c2]Chengbin Peng, Ka-Chun Wong:
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization. ICDM Workshops 2014: 892-897 - [i1]Chengbin Peng, Tamara G. Kolda, Ali Pinar:
Accelerating Community Detection by Using K-core Subgraphs. CoRR abs/1403.2226 (2014) - 2012
- [j2]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: 138-170 (2012) - [c1]Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes:
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. ICDM 2012: 1068-1073 - 2011
- [j1]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): 1631-1642 (2011)
Coauthor Index
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