Hehuan Ma

42 papers A* 5B 1Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks.
AAAI
Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang
2025 — conf
Contrastive Pretraining for Computational Pathology with Visual-Language Models.
ISBI
Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang
2025 J jnl
GRAM-TDI: adaptive multimodal representation learning for drug target interaction prediction.
CoRR
Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
2025 A* conf
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction.
AAAI
Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang
2025 J jnl
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction.
CoRR
Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang
2025 — conf
HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics.
MICCAI (1)
Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang
2025 J jnl
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification.
CoRR
Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou, Hehuan Ma, Junzhou Huang
2025 J jnl
MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs.
CoRR
Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Junzhou Huang
2025 J jnl
Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Jean Gao, Junzhou Huang
2025 J jnl
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence.
CoRR
Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang
2025 J jnl
Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis.
CoRR
Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang
2025 — conf
Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis.
MICCAI (6)
Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang
2024 — conf
AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3.
BCB
Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang
2024 — conf
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks.
ECCV (88)
Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang
2024 J jnl
Compositional Image Retrieval via Instruction-Aware Contrastive Learning.
CoRR
Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Junzhou Huang
2024 J jnl
GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.
Briefings Bioinform.
Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang
2024 — conf
MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification.
BCB
Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao, Junzhou Huang
2024 J jnl
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning.
CoRR
Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024 — conf
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning.
MICCAI (4)
Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024 J jnl
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation.
CoRR
Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang
2024 J jnl
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks.
J. Comput. Biol.
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
2024 J jnl
UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers.
CoRR
Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Weizhi An, Jean Gao, Junzhou Huang
2023 — conf
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
ICDM (Workshops)
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023 J jnl
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023 J jnl
Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss.
J. Comput. Biol.
Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang
2023 J jnl
NuSegDA: Domain adaptation for nuclei segmentation.
Frontiers Big Data
Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang
2022 J jnl
Cross-dependent graph neural networks for molecular property prediction.
Bioinform.
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2022 — conf
MoDNA: motif-oriented pre-training for DNA language model.
BCB
Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang
2022 — conf
Robust self-training strategy for various molecular biology prediction tasks.
BCB
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
2022 A* conf
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures.
AAAI
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
2021 J jnl
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.
J. Comput. Biol.
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021 J jnl
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction.
J. Comput. Biol.
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021 A* conf
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
ICCV
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 J jnl
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
CoRR
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 — conf
Gradient-Norm Based Attentive Loss for Molecular Property Prediction.
BIBM
Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang
2021 A* conf
Hierarchical Graph Capsule Network.
AAAI
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2020 B conf
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction.
RECOMB
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020 J jnl
Dual Message Passing Neural Network for Molecular Property Prediction.
CoRR
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2020 J jnl
Hierarchical Graph Capsule Network.
CoRR
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2020 — conf
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning.
BIBM
Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang
2020 — conf
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction.
BIBM
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020 — conf
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction.
BIBM
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang