Xiaoqing Lyu

Orcid: 0000-0003-2354-7749

According to our database1, Xiaoqing Lyu authored at least 26 papers between 2018 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph-Graph Context Dependency Attention for Graph Edit Distance.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
String Editing Based Chinese Grammatical Error Diagnosis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MIR: A Benchmark for Molecular Image Retrival with a Cross-modal Pretraining Framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Adaptive Edge Attention for Graph Matching with Outliers.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
SemBRS: A Semantic Analysis Based Book Retrieval Approach.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Topology Discriminative Pooling via Graph Kernel Derived Nodes and Edges Co-Embedding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Graph Attribute Aggregation Network with Progressive Margin Folding.
CoRR, 2019

Automatic Chinese Spelling Checking and Correction Based on Character-Based Pre-trained Contextual Representations.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Regularizing Variational Autoencoders for Molecular Graph Generation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Comparison of Molecule Graph Representation with Similarity Consistency.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Chemical Similarity Based on Map Edit Distance.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

A Free-Sketch Recognition Method for Chemical Structural Formula.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

Understanding Markush Structures in Chemistry Documents With Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A method for improving the reliability of causal inference from large-scale data in biomedicine.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


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