Yanpeng Zhao

Orcid: 0000-0002-2117-630X

According to our database1, Yanpeng Zhao authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Denoising of Photon-Counting LiDAR Bathymetry Based on Adaptive Variable OPTICS Model and Its Accuracy Assessment.
Remote. Sens., September, 2024

Underwater Temperature and Salinity Measurement by Rayleigh-Brillouin Spectroscopy Using Fizeau Interferometer and PMT Array.
Remote. Sens., June, 2024

Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering.
CoRR, 2024

Never Miss A Beat: An Efficient Recipe for Context Window Extension of Large Language Models with Consistent "Middle" Enhancement.
CoRR, 2024

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Identification of metal ion-binding sites in RNA structures using deep learning method.
Briefings Bioinform., March, 2023

Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding.
CoRR, 2023

On the Transferability of Visually Grounded PCFGs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Computational methods, databases and tools for synthetic lethality prediction.
Briefings Bioinform., 2022

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models.
J. Chem. Inf. Model., 2021

An Empirical Study of Compound PCFGs.
CoRR, 2021

EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction.
BMC Bioinform., 2021

aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Bioinform., 2021

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unsupervised Natural Language Parsing (Introductory Tutorial).
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2021

Neural Bi-Lexicalized PCFG Induction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain.
CoRR, 2020

Visually Grounded Compound PCFGs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
Language Style Transfer from Sentences with Arbitrary Unknown Styles.
CoRR, 2018

Gaussian Mixture Latent Vector Grammars.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Learning Bayesian network structures under incremental construction curricula.
Neurocomputing, 2017

Structured Attentions for Visual Question Answering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Sequence Prediction Using Neural Network Classiers.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

2015
Curriculum Learning of Bayesian Network Structures.
Proceedings of The 7th Asian Conference on Machine Learning, 2015


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