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ORCIDYuzhi Guo
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2020 – today
- 2026
[c22]Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
:
GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. AAAI 2026: 1400-1408- [c21]Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang:
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks. AAAI 2026: 35068-35075 - [c20]Haiqing Li, Wenliang Zhong, Yinhao Wu, Hehuan Ma, Yuzhi Guo, Thao M. Dang, Junzhou Huang:
Guidelines as Environments: A World Model Approach to Rule Following. ACL (1) 2026: 16302-16318 - [i12]Qifeng Zhou, Lei Yu, Yuzhi Guo, Yuwei Miao, Hehuan Ma, Wenliang Zhong, Lin Xu, Junzhou Huang:
scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics. CoRR abs/2604.20003 (2026) - 2025
- [j6]Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradisek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo, Jamil Mahmoud El Chayeb, Ruijiang Li, Jana Lipková, Jakob Nikolas Kather, Junzhou Huang:
Multimodal analysis of whole slide images in colorectal cancer. npj Digit. Medicine 8(1) (2025) - [j5]Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Jean Gao, Junzhou Huang:
Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(12): 19986-19995 (2025) - [c19]Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang:
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. AAAI 2025: 622-630 - [c18]Wenliang Zhong, Robert A. Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane, Junzhou Huang:
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation. ICCV 2025: 22221-22231 - [c17]Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang:
Contrastive Pretraining for Computational Pathology with Visual-Language Models. ISBI 2025: 1-4 - [c16]Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang:
HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics. MICCAI (1) 2025: 228-238 - [c15]Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang:
Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis. MICCAI (6) 2025: 649-659 - [c14]Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang:
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence. NeurIPS 2025 - [i11]Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang:
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. CoRR abs/2501.01930 (2025) - [i10]Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Junzhou Huang:
MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs. CoRR abs/2502.07221 (2025) - [i9]Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou, Hehuan Ma, Junzhou Huang:
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification. CoRR abs/2504.03894 (2025) - [i8]Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang:
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence. CoRR abs/2506.21028 (2025) - [i7]Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang:
Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis. CoRR abs/2507.02996 (2025) - [i6]Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang:
GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. CoRR abs/2511.09512 (2025) - 2024
- [j4]Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang:
GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Briefings Bioinform. 25(4) (2024) - [j3]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. 31(3): 213-228 (2024) - [c13]Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao, Junzhou Huang:
MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. BCB 2024: 64:1-64:8 - [c12]Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang:
AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. BCB 2024: 67:1-67:8 - [c11]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. MICCAI (4) 2024: 373-383 - [i5]Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang:
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation. CoRR abs/2401.13220 (2024) - [i4]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR abs/2403.08967 (2024) - [i3]Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Junzhou Huang:
Compositional Image Retrieval via Instruction-Aware Contrastive Learning. CoRR abs/2412.05756 (2024) - [i2]Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Weizhi An, Jean Gao, Junzhou Huang:
UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers. CoRR abs/2412.12688 (2024) - 2022
- [c10]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang:
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI 2022: 6801-6809 - [c9]Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang:
MoDNA: motif-oriented pre-training for DNA language model. BCB 2022: 5:1-5:5 - [c8]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Robust self-training strategy for various molecular biology prediction tasks. BCB 2022: 34:1-34:5 - 2021
- [b1]Yuzhi Guo:
Enhancing Public Sector Organization Knowledge Retention with Social Network Analysis, Text Mining and Machine Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j2]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
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. 28(4): 346-361 (2021) - [j1]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. 28(4): 362-364 (2021) - [c7]Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang:
Gradient-Norm Based Attentive Loss for Molecular Property Prediction. BIBM 2021: 497-502 - [c6]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [i1]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.10843 (2021) - 2020
- [c5]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM 2020: 17-22 - [c4]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang:
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM 2020: 72-75 - [c3]Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang:
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. BIBM 2020: 2779-2784 - [c2]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB 2020: 88-103
2010 – 2019
- 2019
- [c1]Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, Junzhou Huang:
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction. BCB 2019: 429-436
Coauthor Index
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last updated on 2026-07-01 03:22 CEST by the dblp team
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