W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. - Lina Xu; Giles Tetteh; Mona Mustafa; Jana Lipková; Yu Zhao 009; Marie Bieth; Patrick Ferdinand Christ; Marie Piraud; Bjoern H. Menze; Kuangyu Shi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Grain Price Forecasting Using a Hybrid Stochastic Method. - Yu Zhao 009; Xi Zhang 006; Zhongshun Shi; Lei He 001 (Asia Pac. J. Oper. Res., 2017)

Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. - Yu Zhao 009; Hongwei Li 004; Rong Zhou; Giles Tetteh; Marc Niethammer; Bjoern H. Menze (ICPR, 2018)

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Bjoern H. Menze; Marie Piraud (BrainLes@MICCAI (2), 2018)

Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing. - Yu Zhao 009; Shaohua Wan 001; Songtao Lu; Jinping Sun; Peng Lei (IEEE Access, 2018)

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Marie Piraud (CoRR, 2018)

Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. - Yu Zhao 009; Andrei Gafita; Giles Tetteh; Fabian Haupt; Ali Afshar-Oromieh; Bjoern H. Menze; Matthias Eiber; Axel Rominger; Kuangyu Shi (EMBC, 2019)

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. - Yu Zhao 009; Ping Wu 003; Jian Wang 009; Hongwei Li 004; Nassir Navab; Igor Yakushev; Wolfgang Weber 005; Markus Schwaiger; Sung-Cheng Huang; Paul Cumming; Axel Rominger; Chuantao Zuo; et al. (EMBC, 2019)

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. - Yu Zhao 009; Yuan Liu; Yansheng Kan; Anjany Sekuboyina; Diana Waldmannstetter; Hongwei Li 004; Xiaobin Hu; Xiaozhi Zhao; Kuangyu Shi; Bjoern H. Menze (MICCAI (6), 2019)

Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things. - Shaohua Wan 001; Yu Zhao 009; Tian Wang 001; Zonghua Gu 001; Qammer H. Abbasi; Kim-Kwang Raymond Choo (Future Gener. Comput. Syst., 2019)

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. - Yu Zhao 009; Hongwei Li 004; Shaohua Wan 001; Anjany Sekuboyina; Xiaobin Hu; Giles Tetteh; Marie Piraud; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2019)

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. - Yu Zhao 009; Fan Yang 081; Yuqi Fang; Hailing Liu; Niyun Zhou; Jun Zhang 018; Jiarui Sun; Sen Yang 006; Bjoern H. Menze; Xinjuan Fan; Jianhua Yao 001 (CVPR, 2020)

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. - Xiaobin Hu; Rui Guo; Jieneng Chen; Hongwei Li 004; Diana Waldmannstetter; Yu Zhao 009; Biao Li; Kuangyu Shi; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2020)

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (BIBM, 2021)

Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. - Yu Zhao 009; Yidan Zhang; Zhi-An Huang; Fan Yang 081; Lei Duan; Jianhua Yao 001 (BIBM, 2021)

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. - Hang Li; Fan Yang 081; Xiaohan Xing; Yu Zhao 009; Jun Zhang 018; Yueping Liu; Mengxue Han; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. - Hang Li; Fan Yang 081; Yu Zhao 009; Xiaohan Xing; Jun Zhang 018; Mingxuan Gao; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features. - Xiaobin Hu; Yanyang Yan; Wenqi Ren; Hongwei Li 004; Amirhossein Bayat; Yu Zhao 009; Bjoern H. Menze (MIDL, 2021)

ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. - Jiawei Yang 002; Hanbo Chen; Yu Zhao 009; Fan Yang 081; Yao Zhang 010; Lei He 001; Jianhua Yao 001 (MICCAI (2), 2022)

SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. - Yu Zhao 009; Zhenyu Lin; Kai Sun; Yidan Zhang; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (2), 2022)

Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (Bioinform., 2022)

Learning with Noisy Labels over Imbalanced Subpopulations. - Mingcai Chen; Yu Zhao 009; Bing He; Zongbo Han; Bingzhe Wu; Jianhua Yao 001 (CoRR, 2022)

Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors. - Yang Xiao; Yueshan Huang; Yu Zhao 009; Fan Xu; Qin Ren 001; Bing He; Jianhua Yao 001; Xiao Liu (BIBM, 2023)

A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. - Mingcai Chen; Yu Zhao 009; Zhonghuang Wang; Bing He; Jianhua Yao 001 (IJCAI, 2023)

IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. - Qin Ren 001; Yu Zhao 009; Bing He; Bingzhe Wu; Sijie Mai; Fan Xu; Yueshan Huang; Yonghong He; Junzhou Huang; Jianhua Yao 001 (MICCAI (6), 2023)

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire. - Yu Zhao 009; Bing He; Zhimeng Xu; Yidan Zhang; Xuan Zhao; Zhi-An Huang; Fan Yang 081; Liang Wang 015; Lei Duan; Jiangning Song; Jianhua Yao 001 (Briefings Bioinform., 2023)

SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. - Yu Zhao 009; Xiaona Su; Weitong Zhang; Sijie Mai; Zhimeng Xu; Chenchen Qin; Rongshan Yu; Bing He; Jianhua Yao 001 (Briefings Bioinform., 2023)

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. - Fan Xu; Yu Zhao 009; Bingzhe Wu; Yueshan Huang; Qin Ren 001; Yang Xiao; Bing He; Jie Zheng; Jianhua Yao 001 (AAAI, 2024)

Knowledge-aware Reinforced Language Models for Protein Directed Evolution. - Yuhao Wang; Qiang Zhang 026; Ming Qin; Xiang Zhuang; Xiaotong Li; Zhichen Gong; Zeyuan Wang; Yu Zhao 009; Jianhua Yao 001; Keyan Ding; Huajun Chen (ICML, 2024)

StableMask: Refining Causal Masking in Decoder-only Transformer. - Qingyu Yin; Xuzheng He; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Xiaoyu Shen; Qiang Zhang 026 (ICML, 2024)

DePLM: Denoising Protein Language Models for Property Optimization. - Zeyuan Wang; Keyan Ding; Ming Qin; Xiaotong Li; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (NeurIPS, 2024)

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. - Kehua Feng; Keyan Ding; Weijie Wang; Xiang Zhuang; Zeyuan Wang; Ming Qin; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (CoRR, 2024)

Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis. - Sijie Mai; Yu Zhao 009; Ying Zeng; Jianhua Yao 001; Haifeng Hu 001 (CoRR, 2024)

Evaluation of T Cell Receptor Construction Methods from scRNA-Seq Data. - Ruonan Tian; Zhejian Yu; Ziwei Xue; Jiaxin Wu; Lize Wu; Shuo Cai; Bing Gao; Bing He; Yu Zhao 009; Jianhua Yao 001; Linrong Lu; Wanlu Liu (Genom. Proteom. Bioinform., 2025)

Learning With Noisy Labels Over Imbalanced Subpopulations. - Mingcai Chen; Yu Zhao 009; Bing He; Zongbo Han; Junzhou Huang; Bingzhe Wu; Jianhua Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)