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:

Bibliography

2026
Research Progress on Memristors for Compute-In-Memory Architectures.
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

GAP: a Global Adaptive Pruning Method for Large Language Models.
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

Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Suicide Risk Assessment on Social Media with Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
GLogS: Interactive Graph Pattern Matching Query At Large Scale.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding.
Proceedings of the International Conference on Machine Learning, 2022

2020
Rotation-Equivariant Neural Networks for Privacy Protection.
CoRR, 2020

Deep Quaternion Features for Privacy Protection.
CoRR, 2020

Interpretable Complex-Valued Neural Networks for Privacy Protection.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Visual graph mining for graph matching.
Comput. Vis. Image Underst., 2019

Quantifying Layerwise Information Discarding of Neural Networks.
CoRR, 2019

Complex-Valued Neural Networks for Privacy Protection.
CoRR, 2019

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.
CoRR, 2019

Interpreting CNNs via Decision Trees.
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


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