Yixian Huang

Orcid: 0009-0004-2601-2875

According to our database1, Yixian Huang authored at least 11 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction.
CoRR, March, 2025

Beyond English: Unveiling Multilingual Bias in LLM Copyright Compliance.
CoRR, March, 2025

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning.
Database J. Biol. Databases Curation, January, 2024

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
J. Chem. Inf. Model., 2024

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.
Briefings Bioinform., 2024

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Briefings Bioinform., 2024

DeepDrugmiR: a two-stage deep learning method for inferring small molecules' regulatory effects on microRNA expression.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2022
miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.
Nucleic Acids Res., 2022

2021
MethHC 2.0: information repository of DNA methylation and gene expression in human cancer.
Nucleic Acids Res., 2021

CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021


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