| 2026 | AAAI | GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. | Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang |
| 2026 | AAAI | Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks. | Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang |
| 2026 | ACL | Guidelines as Environments: A World Model Approach to Rule Following. | Haiqing Li, Wenliang Zhong, Yinhao Wu, Hehuan Ma, Yuzhi Guo, Thao M. Dang, Junzhou Huang |
| 2025 | AAAI | GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. | Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang |
| 2025 | ICCV | Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation. | Wenliang Zhong, Robert A. Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane, Junzhou Huang |
| 2025 | MICCAI | HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics. | Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang |
| 2025 | MICCAI | Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis. | Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang |
| 2024 | MICCAI | 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 |
| 2022 | AAAI | Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. | Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang |
| 2021 | ICCV | 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 |
| 2020 | RECOMB | 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 |