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
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
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
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
Bioinform., 2016
2015
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