Hehuan Ma

According to our database, Hehuan Ma authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning.

Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang

CoRR, 2024

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation.

Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang

CoRR, 2024

2023

NuSegDA: Domain adaptation for nuclei segmentation.

Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang

Frontiers Big Data, January, 2023

Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss.

Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang

J. Comput. Biol., 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Cross-dependent graph neural networks for molecular property prediction.

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

Bioinform., 2022

Robust self-training strategy for various molecular biology prediction tasks.

Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

MoDNA: motif-oriented pre-training for DNA language model.

Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang

J. Comput. Biol., 2021

Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang

J. Comput. Biol., 2021

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.

Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Gradient-Norm Based Attentive Loss for Molecular Property Prediction.

Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Hierarchical Graph Capsule Network.

Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Dual Message Passing Neural Network for Molecular Property Prediction.

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

CoRR, 2020

Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang

Proceedings of the Research in Computational Molecular Biology, 2020

Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning.

Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020