Yingfan Ma
Orcid: 0009-0004-7335-785X
According to our database1,
Yingfan Ma authored at least 22 papers
between 2021 and 2026.
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Bibliography
2026
Enhancing Protein Structure Learning Using a Size-Guided Conditional Mixture-of-Experts.
IEEE J. Biomed. Health Informatics, April, 2026
Towards General Protein Structure Representation Learning With a Protein Size Prompt.
IEEE Trans. Artif. Intell., February, 2026
IEEE Trans. Artif. Intell., January, 2026
2025
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.
CoRR, December, 2025
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems.
CoRR, July, 2025
ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface.
Briefings Bioinform., January, 2025
SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.
Comput. Methods Programs Biomed., 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Flow-MIL: Constructing Highly-expressive Latent Feature Space for Whole Slide Image Classification using Normalizing Flow.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need.
IEEE Trans. Circuits Syst. Video Technol., October, 2024
SS-Pro: a simplified Siamese contrastive learning approach for protein surface representation.
Frontiers Comput. Sci., October, 2024
Briefings Bioinform., September, 2024
Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction.
Briefings Bioinform., July, 2024
Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training.
CoRR, 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bioinform., December, 2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need.
CoRR, 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2021
Mining frequent pyramid patterns from time series transaction data with custom constraints.
Comput. Secur., 2021