Hongde Liu
Orcid: 0009-0004-2291-7140
According to our database1,
Hongde Liu
authored at least 24 papers
between 2004 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
DialogueMMT: Dialogue Scenes Understanding Enhanced Multi-modal Multi-task Tuning for Emotion Recognition in Conversations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
An Empirical Study of the Quality Governance Level of China's Civil Aircraft Industry.
Syst., 2024
Does the Weather Still Affect Me When I Shop at Home? The Impact of Weather on Online Shopping Behavior.
J. Theor. Appl. Electron. Commer. Res., 2024
Proceedings of the Natural Language Processing and Chinese Computing, 2024
LaiDA: Linguistics-Aware In-Context Learning with Data Augmentation for Metaphor Components Identification.
Proceedings of the Natural Language Processing and Chinese Computing, 2024
Proceedings of the International Conference on Asian Language Processing, 2024
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets.
Briefings Bioinform., May, 2023
2022
Predicting hormone receptors and PAM50 subtypes of breast cancer from multi-scale lesion images of DCE-MRI with transfer learning technique.
Comput. Biol. Medicine, 2022
2021
DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network.
Briefings Bioinform., 2021
2019
DNMHMM: An approach to identify the differential nucleosome regions in multiple cell types based on a Hidden Markov Model.
Biosyst., 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
2017
J. Bioinform. Comput. Biol., 2017
2012
Sequence-Based Prediction of DNA-Binding Residues in Proteins with Conservation and Correlation Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Biosyst., 2012
Next-generation sequencing data processing: Analysis of unmapped reads and extremely high mapped peaks.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
2011
Biosyst., 2011
2010
Proceedings of the Life System Modeling and Intelligent Computing, 2010
2009
Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature.
Bioinform., 2009
SVM-Based Approach for Predicting DNA-Binding Residues in Proteins from Amino Acid Sequences.
Proceedings of the International Joint Conferences on Bioinformatics, 2009
2007
Support Vector Machine for Prediction of DNA-Binding Domains in Protein-DNA Complexes.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007
2004
Maximum Spectrum of Continuous Wavelet Transform and Its Application in Resolving an Overlapped Signal.
J. Chem. Inf. Model., 2004