Peng Gao
Orcid: 0000-0003-4638-0232Affiliations:
- Ping An Healthcare Technology Co. Ltd, Beijing, China
- Tongji University, Traffic and Transportation Engineering, Shanghai, China (PhD 2010)
According to our database1,
Peng Gao
authored at least 23 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Improving drug-target affinity prediction via feature fusion and knowledge distillation.
Briefings Bioinform., May, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking.
CoRR, 2022
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer.
CoRR, 2022
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.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
2021
Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields.
Neurocomputing, 2021
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks.
CoRR, 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
CoRR, 2021
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model.
CoRR, 2021
An effective self-supervised framework for learning expressive molecular global representations to drug discovery.
Briefings Bioinform., 2021
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Reconstruction Regularized Deep Metric Learning for Multi-Label Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020
Learn molecular representations from large-scale unlabeled molecules for drug discovery.
CoRR, 2020
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019