Jun Wang

Affiliations:

Ping An Technology Co. Ltd., PingAn Healthcare Technology, AI Platform Group, Beijing, China
IBM Research, China (2016-2018)
Peking University, China (PhD 2016)

According to our database¹, Jun Wang authored at least 20 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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On csauthors.net:

Bibliography

2024

Hierarchical visual-semantic interaction for scene text recognition.

[BibT_eX]

[DOI]

Inf. Fusion, February, 2024

2023

Improving drug-target affinity prediction via feature fusion and knowledge distillation.

[BibT_eX]

[DOI]

Briefings Bioinform., May, 2023

Filter Pruning Via Filters Similarity in Consecutive Layers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Molecular substructure graph attention network for molecular property identification in drug discovery.

[BibT_eX]

[DOI]

Pattern Recognit., 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

HCL: Improving Graph Representation with Hierarchical Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 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

Parallel and Robust Text Rectifier for Scene Text Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Visual-Semantic Transformer for Scene Text Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields.

[BibT_eX]

[DOI]

Neurocomputing, 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

Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Jun Wang

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