Xinliang Zhu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Multiple Instance

Survival Prediction

Top Venues

Publications

Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan Plummer
Multimodal Representation and Retrieval [MRR 2024]. SIGIR (2024)
Oriol Barbany, Michael Huang, Xinliang Zhu, Arnab Dhua
Leveraging Large Language Models for Multimodal Search. CoRR (2024)
Xinliang Zhu, Sheng-Wei Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua
Bringing Multimodality to Amazon Visual Search System. KDD (2024)
Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua
ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. ICCV (Workshops) (2023)
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Doug Gray, Dimitris Samaras
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV (2022)
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR (2022)
Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR (2022)
Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR (2021)
Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. CoRR (2020)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM (2020)
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. CoRR (2020)
Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. ECCV (27) (2020)
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Anal. 65 (2020)
Jiawen Yao, Xinliang Zhu, Junzhou Huang
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI (1) (2019)
Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang
Graph CNN for Survival Analysis on Whole Slide Pathological Images. MICCAI (2) (2018)
Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB (2018)
Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. MLMI@MICCAI (2018)
Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang
Deep Correlational Learning for Survival Prediction from Multi-modality Data. MICCAI (2) (2017)
Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm. CoRR (2017)
Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR (2017)
Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang
WSISA: Making Survival Prediction from Whole Slide Histopathological Images. CVPR (2017)
Xinliang Zhu, Jiawen Yao, Xin Luo, Guanghua Xiao, Yang Xie, Adi Gazdar, Junzhou Huang
Lung cancer survival prediction from pathological images and genetic data - An integration study. ISBI (2016)
Xinliang Zhu, Jiawen Yao, Guanghua Xiao, Yang Xie, Jaime Rodriguez-Canales, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba, Junzhou Huang
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model. BIBM (2016)
Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang
Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) (2016)
Xinliang Zhu, Jiawen Yao, Junzhou Huang
Deep convolutional neural network for survival analysis with pathological images. BIBM (2016)
Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan
10, 000+ Times Accelerated Robust Subset Selection. AAAI (2015)