Yixuan Qiao

According to our database¹, Yixuan Qiao authored at least 20 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Revisiting Open World Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2024

2023

Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network.

[BibT_eX]

[DOI]

Briefings Bioinform., March, 2023

2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking.

[BibT_eX]

[DOI]

CoRR, 2022

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-modality artificial intelligence in digital pathology.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Implementation of one-time editable blockchain chameleon hash function construction scheme.

[BibT_eX]

[DOI]

Yixuan Qiao

Minghui Zheng

Jingyi Yang

Proceedings of the IEEE International Conference on Trust, 2022

HCL: Improving Graph Representation with Hierarchical Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2022, 2022

PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021

Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model.

[BibT_eX]

[DOI]

CoRR, 2021

An effective self-supervised framework for learning expressive molecular global representations to drug discovery.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learn molecular representations from large-scale unlabeled molecules for drug discovery.

[BibT_eX]

[DOI]

CoRR, 2020

PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

A Multiple Models Ensembling Method in TREC Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

2019

Collaborative Evidential Clustering.

[BibT_eX]

[DOI]

Yixuan Qiao

Shoumei Li

Thierry Denoeux

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

2018

An Expert System for Diagnosis and Treatment of Hypertension Based on Ontology.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

Yixuan Qiao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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