Haotian Ma
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Haotian Ma 001 (Shanghai Jiao Tong University, Shanghai, China)
- Haotian Ma 002 (Northeast Electric Power University, Jilin City, China)
- Haotian Ma 003 (Cornell University, Ithaca, NY, USA)
- Haotian Ma 004 (China Electric Power Research Institute Company Ltd., Beijing, China)
- Haotian Mai
- Haotian Mao
Bibliography
2026
Int. J. Intell. Syst., 2026
2025
Enhanced YOLOv8 for efficient identification of salix cheilophila during stubble period.
Signal Image Video Process., August, 2025
A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health.
CoRR, August, 2025
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning.
CoRR, March, 2025
A Pilot Meta-Research on Evolving Evidence Behind Genetic Variant (Re)Classification.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
SegJointGene: Joint Cell Segmentation and Spatially Gene Prioritization by an Iterative Deep Learning Framework.
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2017
Design and Development of Intelligent Learning Companion for Primary School Students Based on the Tour of Well-Known Scenic Spots in Beijing.
Proceedings of the Learning and Collaboration Technologies. Technology in Education, 2017