Yu Zhao

39 papers A* 6B 1Journal 18Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluation of T Cell Receptor Construction Methods from scRNA-Seq Data.
Genom. Proteom. Bioinform.
Ruonan Tian, Zhejian Yu, Ziwei Xue, Jiaxin Wu, Lize Wu, Shuo Cai, Bing Gao, Bing He, Yu Zhao, Jianhua Yao, Linrong Lu, Wanlu Liu
2025 J jnl
Learning With Noisy Labels Over Imbalanced Subpopulations.
IEEE Trans. Neural Networks Learn. Syst.
Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao
2025 J jnl
Mutual exclusive gene expression reveals a stress-induced compensatory role of taurine uptake in dilated cardiomyopathy.
Briefings Bioinform.
Jinpu Cai, Xiaorui Liu, Cheng Wang, Yibo Zhang, Luqi Yang, Bingyi Li, Luting Zhou, Ziqi Rong, Haoyang Liu, Linkang He, Xinzhu Jiang, Hui Cheng, Yu Zhao, Bing He, Jianhua Yao, Hongbin Shen, Shyam Prabhakar, Qiuyu Lian, Liang Chen, Hongyi Xin
2024 A* conf
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification.
AAAI
Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao
2024 A* conf
DePLM: Denoising Protein Language Models for Property Optimization.
NeurIPS
Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
2024 A* conf
Knowledge-aware Reinforced Language Models for Protein Directed Evolution.
ICML
Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen
2024 J jnl
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis.
CoRR
Sijie Mai, Yu Zhao, Ying Zeng, Jianhua Yao, Haifeng Hu
2024 J jnl
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.
CoRR
Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
2024 A* conf
StableMask: Refining Causal Masking in Decoder-only Transformer.
ICML
Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
2024 J jnl
StableMask: Refining Causal Masking in Decoder-only Transformer.
CoRR
Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
2023 A* conf
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
IJCAI
Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
2023 J jnl
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
CoRR
Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
2023 — conf
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
MICCAI (6)
Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
2023 J jnl
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform.
Yu Zhao, Bing He, Zhimeng Xu, Yidan Zhang, Xuan Zhao, Zhi-An Huang, Fan Yang, Liang Wang, Lei Duan, Jiangning Song, Jianhua Yao
2023 — conf
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors.
BIBM
Yang Xiao, Yueshan Huang, Yu Zhao, Fan Xu, Qin Ren, Bing He, Jianhua Yao, Xiao Liu
2023 J jnl
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.
Briefings Bioinform.
Yu Zhao, Xiaona Su, Weitong Zhang, Sijie Mai, Zhimeng Xu, Chenchen Qin, Rongshan Yu, Bing He, Jianhua Yao
2022 J jnl
Learning with Noisy Labels over Imbalanced Subpopulations.
CoRR
Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao
2022 J jnl
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform.
Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2022 — conf
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification.
MICCAI (2)
Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
2022 J jnl
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification.
CoRR
Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
2022 — conf
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis.
MICCAI (2)
Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021 — conf
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
BIBM
Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2021 — conf
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
MICCAI (8)
Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021 — conf
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features.
MIDL
Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Amirhossein Bayat, Yu Zhao, Bjoern H. Menze
2021 — conf
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics.
BIBM
Yu Zhao, Yidan Zhang, Zhi-An Huang, Fan Yang, Lei Duan, Jianhua Yao
2021 — conf
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
MICCAI (8)
Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao
2020 J jnl
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.
IEEE J. Biomed. Health Informatics
Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze
2020 A* conf
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution.
CVPR
Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao
2019 — conf
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on
EMBC
Yu Zhao, Ping Wu, Jian Wang, Hongwei Li, Nassir Navab, Igor Yakushev, Wolfgang Weber, Markus Schwaiger, Sung-Cheng Huang, Paul Cumming, Axel Rominger, Chuantao Zuo, Kuangyu Shi
2019 — conf
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images.
EMBC
Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern H. Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi
2019 J jnl
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
IEEE J. Biomed. Health Informatics
Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern H. Menze
2019 J jnl
Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things.
Future Gener. Comput. Syst.
Shaohua Wan, Yu Zhao, Tian Wang, Zonghua Gu, Qammer H. Abbasi, Kim-Kwang Raymond Choo
2019 — conf
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification.
MICCAI (6)
Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze
2018 B conf
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis.
ICPR
Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze
2018 J jnl
Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing.
IEEE Access
Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei
2018 — conf
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.
BrainLes@MICCAI (2)
Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud
2018 J jnl
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function.
CoRR
Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Marie Piraud
2017 J jnl
Grain Price Forecasting Using a Hybrid Stochastic Method.
Asia Pac. J. Oper. Res.
Yu Zhao, Xi Zhang, Zhongshun Shi, Lei He
2017 — conf
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
CMMI/RAMBO/SWITCH@MICCAI
Lina Xu, Giles Tetteh, Mona Mustafa, Jana Lipková, Yu Zhao, Marie Bieth, Patrick Ferdinand Christ, Marie Piraud, Bjoern H. Menze, Kuangyu Shi