Xinliang Zhu

According to our database, Xinliang Zhu authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bringing Multimodality to Amazon Visual Search System.

Xinliang Zhu, Michael Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua

CoRR, 2024

Multimodal Representation and Retrieval [MRR 2024].

Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan A. Plummer

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bringing Multimodality to Amazon Visual Search System.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Leveraging Large Language Models for Multimodal Search.

Oriol Barbany, Michael Huang, Xinliang Zhu, Arnab Dhua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise.

Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Planes, Trains and Automobiles: Leverage Multimodal In-Mission Signals for Shopping Journeys.

Viet Ha-Thuc, Shasha Li, Arnau Ramisa, Xinliang Zhu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion.

Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Hierarchical Proxy-based Loss for Deep Metric Learning.

Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics.

Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation.

Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Deep Multi-instance Learning for Survival Prediction from Whole Slide Images.

Jiawen Yao, Xinliang Zhu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention.

Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Graph CNN for Survival Analysis on Whole Slide Pathological Images.

Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention.

Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Robust Contextual Bandit via the Capped-$\ell_{2}$ norm.

Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang

CoRR, 2017

Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention.

Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang

CoRR, 2017

Deep Correlational Learning for Survival Prediction from Multi-modality Data.

Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

WSISA: Making Survival Prediction from Whole Slide Histopathological Images.

Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Imaging Biomarker Discovery for Lung Cancer Survival Prediction.

Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Deep convolutional neural network for survival analysis with pathological images.

Xinliang Zhu, Jiawen Yao, Junzhou Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

10, 000+ Times Accelerated Robust Subset Selection.

Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015