Yuzhi Guo - RankMe

37 papers A* 5B 1Journal 17Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. AAAI Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
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`	GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. CoRR Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
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`	Multimodal analysis of whole slide images in colorectal cancer. npj Digit. Medicine 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
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	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
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	—	`—`	Enhancing Public Sector Organization Knowledge Retention with Social Network Analysis, Text Mining and Machine Learning. Yuzhi Guo
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
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	—	`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
2019	—	`conf`	SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction. BCB Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, Junzhou Huang