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Xinliang Zhu
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2020 – today
- 2024
- [c18]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: 6390-6399 - [c17]Xinliang Zhu
, Arnab Dhua
, Douglas Gray
, I. Zeki Yalniz
, Tan Yu
, Mohamed Elhoseiny
, Bryan Plummer
:
Multimodal Representation and Retrieval [MRR 2024]. SIGIR 2024: 3047-3050 - [i7]Oriol Barbany, Michael Huang, Xinliang Zhu, Arnab Dhua:
Leveraging Large Language Models for Multimodal Search. CoRR abs/2404.15790 (2024) - 2023
- [c16]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: 2764-2769 - 2022
- [c15]Chunyuan Li, Xinliang Zhu, Jiawen Yao
, Junzhou Huang
:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR 2022: 4256-4262 - [c14]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV 2022: 449-458 - [i6]Chunyuan Li, Xinliang Zhu, Jiawen Yao
, Junzhou Huang
:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR abs/2211.16632 (2022) - 2021
- [i5]Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. CoRR abs/2103.13538 (2021) - 2020
- [j1]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: 101789 (2020) - [c13]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang
:
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM 2020: 72-75 - [c12]Jinyu Yang
, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan
, Junzhou Huang
:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. ECCV (27) 2020: 480-498 - [i4]Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04614 (2020) - [i3]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 abs/2009.11169 (2020)
2010 – 2019
- 2019
- [c11]Jiawen Yao
, Xinliang Zhu, Junzhou Huang
:
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI (1) 2019: 496-504 - 2018
- [c10]Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao
, Junzhou Huang
:
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB 2018: 482-491 - [c9]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: 10-18 - [c8]Ruoyu Li, Jiawen Yao
, Xinliang Zhu, Yeqing Li, Junzhou Huang
:
Graph CNN for Survival Analysis on Whole Slide Pathological Images. MICCAI (2) 2018: 174-182 - 2017
- [c7]Xinliang Zhu, Jiawen Yao
, Feiyun Zhu, Junzhou Huang
:
WSISA: Making Survival Prediction from Whole Slide Histopathological Images. CVPR 2017: 6855-6863 - [c6]Jiawen Yao
, Xinliang Zhu, Feiyun Zhu, Junzhou Huang
:
Deep Correlational Learning for Survival Prediction from Multi-modality Data. MICCAI (2) 2017: 406-414 - [i2]Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang:
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR abs/1703.10039 (2017) - [i1]Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang:
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm. CoRR abs/1708.05446 (2017) - 2016
- [c5]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: 455-459 - [c4]Xinliang Zhu, Jiawen Yao
, Junzhou Huang
:
Deep convolutional neural network for survival analysis with pathological images. BIBM 2016: 544-547 - [c3]Xinliang Zhu, Jiawen Yao
, Xin Luo, Guanghua Xiao, Yang Xie, Adi F. Gazdar, Junzhou Huang
:
Lung cancer survival prediction from pathological images and genetic data - An integration study. ISBI 2016: 1173-1176 - [c2]Jiawen Yao
, Sheng Wang, Xinliang Zhu, Junzhou Huang
:
Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) 2016: 649-657 - 2015
- [c1]Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan:
10, 000+ Times Accelerated Robust Subset Selection. AAAI 2015: 3217-3224
Coauthor Index
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last updated on 2024-09-12 03:28 CEST by the dblp team
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