Chengbin Peng
Orcid: 0000-0002-7445-2638
According to our database1,
Chengbin Peng
authored at least 41 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., June, 2024
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation.
IEEE Trans. Multim., 2024
IEEE Trans. Instrum. Meas., 2024
Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Signal Process. Lett., 2024
Neurocomputing, 2024
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning.
Comput. Biol. Medicine, 2024
2023
Signal Image Video Process., October, 2023
IEEE Robotics Autom. Lett., October, 2023
Comput. Electron. Agric., April, 2023
Image Restoration Quality Assessment Based on Regional Differential Information Entropy.
Entropy, January, 2023
Knowl. Based Syst., 2023
Corrigendum to "Semi-supervised semantic segmentation with cross teacher training" [Neurocomputing 508 (2022) 36-46].
Neurocomputing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
Neurocomputing, 2022
Watermark-Preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
2021
PeerJ Comput. Sci., 2021
Regional Differential Information Entropy for Super-Resolution Image Quality Assessment.
CoRR, 2021
2020
Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
PeerJ Comput. Sci., 2020
2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
2017
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data.
IEEE Trans. Cybern., 2017
A scalable community detection algorithm for large graphs using stochastic block models.
Intell. Data Anal., 2017
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017
2016
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells.
Bioinform., 2016
2015
Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
Bioinform., 2015
2014
Herd Clustering: A synergistic data clustering approach using collective intelligence.
Appl. Soft Comput., 2014
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2012
Inf. Sci., 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm.
Soft Comput., 2011