Ronghui You

Orcid: 0000-0002-7608-4867

According to our database1, Ronghui You authored at least 20 papers between 2015 and 2024.

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Bibliography

2024
LiD-FL: Towards List-Decodable Federated Learning.
CoRR, 2024

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction.
Bioinform., September, 2023

NetGO 3.0: Protein Language Model Improves Large-scale Functional Annotations.
Genom. Proteom. Bioinform., April, 2023

2021
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information.
Nucleic Acids Res., 2021

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction.
Bioinform., 2021

BERTMeSH: deep contextual representation learning for large-scale high-performance MeSH indexing with full text.
Bioinform., 2021

2020
FullMeSH: improving large-scale MeSH indexing with full text.
Bioinform., 2020

2019
NetGO: improving large-scale protein function prediction with massive network information.
Nucleic Acids Res., 2019

HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification.
CoRR, 2019

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks.
CoRR, 2018

GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank.
Bioinform., 2018

2017
POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality.
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing.
Bioinform., 2016

2015
FDUMedSearch at TREC 2015 Clinical Decision Support Track.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency.
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering.
Proceedings of the Working Notes of CLEF 2015, 2015


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