Yang Li

Orcid: 0000-0002-0403-7287

Affiliations:
  • Northeast Forestry University, College of Information and Computer Engineering, Harbin, China


According to our database1, Yang Li authored at least 27 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Identification and characterization of lncRNA-stemness-immune regulatory patterns.
Briefings Bioinform., 2026

2025
Relational similarity-based graph contrastive learning for DTI prediction.
Briefings Bioinform., March, 2025

Fine-grained multimodal molecular pretraining via prompt learning.
Knowl. Based Syst., 2025

Multi-Modal Fake News Detection Enhanced by Fine-Grained Knowledge Graph.
IEICE Trans. Inf. Syst., 2025

PLiSAGE: enhancing protein-ligand interaction prediction with multimodal surface and geometry encoding.
Bioinform., 2025

MolPrompt: improving multi-modal molecular pre-training with knowledge prompts.
Bioinform., 2025

2024
DAPM-CDR: A domain adaptation prompting model for drug response prediction.
Future Gener. Comput. Syst., 2024

Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structure.
Bioinform., 2024

Causal enhanced drug-target interaction prediction based on graph generation and multi-source information fusion.
Bioinform., 2024

Diffusion Based Counterfactual Augmentation for Dual Sentiment Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning.
Bioinform., December, 2023

KEIC: A tag recommendation framework with knowledge enhancement and interclass correlation.
Inf. Sci., October, 2023

End-to-end interpretable disease-gene association prediction.
Briefings Bioinform., May, 2023

Graph Pruning and Representation Learning for Stance Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Heterogeneous Graph Contrastive Learning for Stance Prediction.
IEICE Trans. Inf. Syst., October, 2022

Supervised graph co-contrastive learning for drug-target interaction prediction.
Bioinform., 2022

Drug-target interaction predication via multi-channel graph neural networks.
Briefings Bioinform., 2022

Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
A Joint Summarization and Pre-Trained Model for Review-Based Recommendation.
Inf., 2021

Evaluating disease similarity based on gene network reconstruction and representation.
Bioinform., 2021

2020
Incorporating feature representation into BiLSTM for deceptive review detection.
Computing, 2020

2019
Topical Co-Attention Networks for hashtag recommendation on microblogs.
Neurocomputing, 2019

2017
Personalized Microtopic Recommendation on Microblogs.
ACM Trans. Intell. Syst. Technol., 2017

Inferring User Consumption Preferences from Social Media.
IEICE Trans. Inf. Syst., 2017

2016
Hashtag Recommendation with Topical Attention-Based LSTM.
Proceedings of the COLING 2016, 2016

2015
Personalized Microtopic Recommendation with Rich Information.
Proceedings of the Social Media Processing - 4th National Conference, 2015

2014
Predicting the Popularity of Messages on Micro-blog Services.
Proceedings of the Social Media Processing - Third National Conference, 2014


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