10, 000+ Times Accelerated Robust Subset Selection. - Feiyun Zhu; Bin Fan 001; Xinliang Zhu; Ying Wang 008; Shiming Xiang; Chunhong Pan (AAAI, 2015)

Deep convolutional neural network for survival analysis with pathological images. - Xinliang Zhu; Jiawen Yao; Junzhou Huang (BIBM, 2016)

Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model. - Xinliang Zhu; Jiawen Yao; Guanghua Xiao; Yang Xie; Jaime Rodriguez-Canales; Edwin R. Parra; Carmen Behrens; Ignacio I. Wistuba; Junzhou Huang (BIBM, 2016)

Lung cancer survival prediction from pathological images and genetic data - An integration study. - Xinliang Zhu; Jiawen Yao; Xin Luo; Guanghua Xiao; Yang Xie; Adi F. Gazdar; Junzhou Huang (ISBI, 2016)

Imaging Biomarker Discovery for Lung Cancer Survival Prediction. - Jiawen Yao; Sheng Wang 001; Xinliang Zhu; Junzhou Huang (MICCAI (2), 2016)

WSISA: Making Survival Prediction from Whole Slide Histopathological Images. - Xinliang Zhu; Jiawen Yao; Feiyun Zhu; Junzhou Huang (CVPR, 2017)

Deep Correlational Learning for Survival Prediction from Multi-modality Data. - Jiawen Yao; Xinliang Zhu; Feiyun Zhu; Junzhou Huang (MICCAI (2), 2017)

Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. - Feiyun Zhu; Peng Liao; Xinliang Zhu; Yaowen Yao; Junzhou Huang (CoRR, 2017)

Robust Contextual Bandit via the Capped-$ ell_{2}$ norm. - Feiyun Zhu; Xinliang Zhu; Sheng Wang 001; Jiawen Yao; Junzhou Huang (CoRR, 2017)

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. - Feiyun Zhu; Peng Liao; Xinliang Zhu; Jiawen Yao; Junzhou Huang (BCB, 2018)

Graph CNN for Survival Analysis on Whole Slide Pathological Images. - Ruoyu Li 002; Jiawen Yao; Xinliang Zhu; Yeqing Li; Junzhou Huang (MICCAI (2), 2018)

Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. - Feiyun Zhu; Xinliang Zhu; Sheng Wang 001; Jiawen Yao; Zhichun Xiao; Junzhou Huang (MLMI@MICCAI, 2018)

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. - Jiawen Yao; Xinliang Zhu; Junzhou Huang (MICCAI (1), 2019)

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Jinyu Yang; Xinliang Zhu; Junzhou Huang (BIBM, 2020)

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. - Jinyu Yang; Weizhi An; Sheng Wang 001; Xinliang Zhu; Chaochao Yan; Junzhou Huang (ECCV (27), 2020)

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. - Jiawen Yao; Xinliang Zhu; Jitendra Jonnagaddala; Nicholas J. Hawkins; Junzhou Huang (Medical Image Anal., 2020)

Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. - Chunyuan Li; Xinliang Zhu; Jiawen Yao; Junzhou Huang (ICPR, 2022)

Hierarchical Proxy-based Loss for Deep Metric Learning. - Zhibo Yang 002; Muhammet Bastan; Xinliang Zhu; Douglas Gray 001; Dimitris Samaras (WACV, 2022)

ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. - Zhizhang Hu; Xinliang Zhu; Son Tran; René Vidal; Arnab Dhua (ICCV (Workshops), 2023)

Planes, Trains and Automobiles: Leverage Multimodal In-Mission Signals for Shopping Journeys. - Viet Ha-Thuc; Shasha Li 001; Arnau Ramisa; Xinliang Zhu (CIKM, 2024)

Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. - Anbang Xu; Tan Yu; Min Du 003; Pritam Gundecha; Yufan Guo; Xinliang Zhu; May Wang; Ping Li 001; Xinyun Chen (CIKM, 2024)

Leveraging Large Language Models for Multimodal Search. - Oriol Barbany; Michael Huang; Xinliang Zhu; Arnab Dhua (CVPR Workshops, 2024)

Bringing Multimodality to Amazon Visual Search System. - Xinliang Zhu; Sheng-Wei Huang; Han Ding 004; Jinyu Yang; Kelvin Chen; Tao Zhou; Tal Neiman; Ouye Xie; Son Tran; Benjamin Z. Yao; Douglas Gray 001; Anuj Bindal; et al. (KDD, 2024)

Multimodal Representation and Retrieval [MRR 2024]. - Xinliang Zhu; Arnab Dhua; Douglas Gray 001; I. Zeki Yalniz; Tan Yu; Mohamed Elhoseiny; Bryan A. Plummer (SIGIR, 2024)

Bringing Multimodality to Amazon Visual Search System. - Xinliang Zhu; Michael Huang; Han Ding 004; Jinyu Yang; Kelvin Chen; Tao Zhou; Tal Neiman; Ouye Xie; Son Tran; Benjamin Z. Yao; Douglas Gray 001; Anuj Bindal; et al. (CoRR, 2024)

GENIUS: A Generative Framework for Universal Multimodal Search. - Sungyeon Kim; Xinliang Zhu; Xiaofan Lin; Muhammet Bastan; Douglas Gray 001; Suha Kwak (CVPR, 2025)