Yao, Jianhua

21 publications

ICLR 2025 Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

ICLRW 2025 De Novo Design of Antigen-Specific Antibodies Using Structural Constraint-Based Generative Language Model Yuran Jia, Bing He, Tianxu Lv, YangXiao, Tianyi Zhao, Jianhua Yao

ICLRW 2025 Few-Shot Active Learning for De Novo Dual-Target Peptide Design with High Bio-Activity Tianxu Lv, Bing He, Yuran Jia, Xiang Pan, Jianhua Yao

ICLR 2025 IgGM: A Generative Model for Functional Antibody and Nanobody Design Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao

ICML 2025 Steering Protein Language Models Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao

AAAI 2024 A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao

NeurIPS 2024 DePLM: Denoising Protein Language Models for Property Optimization Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen

ICML 2024 Knowledge-Aware Reinforced Language Models for Protein Directed Evolution Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen

ICML 2024 StableMask: Refining Causal Masking in Decoder-Only Transformer Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang

IJCAI 2023 A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao

ECCV 2022 ConCL: Concept Contrastive Learning for Dense Prediction Pre-Training in Pathology Images Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao

CVPR 2022 Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao

ICLR 2022 Towards Better Understanding and Better Generalization of Low-Shot Classification in Histology Images with Contrastive Learning Jiawei Yang, Hanbo Chen, Jiangpeng Yan, Xiaoyu Chen, Jianhua Yao

NeurIPS 2022 TreeMoCo: Contrastive Neuron Morphology Representation Learning Hanbo Chen, Jiawei Yang, Daniel Iascone, Lijuan Liu, Lei He, Hanchuan Peng, Jianhua Yao

NeurIPS 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao

CVPR 2020 Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning with Deep Graph Convolution Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern Menze, Xinjuan Fan, Jianhua Yao

WACV 2017 Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers

JMLR 2016 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

CVPR 2016 Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers

CVPR 2015 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

ICCV 2003 Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model Jianhua Yao, Russell H. Taylor