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Xinliang Zhu

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2020 – today

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2024
[c21]
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  - conf/cikm/Ha-Thuc0RZ24
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Viet Ha-Thuc, Shasha Li, Arnau Ramisa, Xinliang Zhu:
Planes, Trains and Automobiles: Leverage Multimodal In-Mission Signals for Shopping Journeys. CIKM 2024: 5560-5561
[c20]
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Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen:
Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. CIKM 2024: 5599-5602
[c19]
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  - conf/cvpr/BarbanyHZD22
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Oriol Barbany, Michael Huang, Xinliang Zhu, Arnab Dhua:
Leveraging Large Language Models for Multimodal Search. CVPR Workshops 2024: 1201-1210
[c18]
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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]
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  - conf/sigir/ZhuD0YYEP24
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Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan A. Plummer:
Multimodal Representation and Retrieval [MRR 2024]. SIGIR 2024: 3047-3050
[i7]
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  - journals/corr/abs-2404-15790
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Oriol Barbany, Michael Huang, Xinliang Zhu, Arnab Dhua:
Leveraging Large Language Models for Multimodal Search. CoRR abs/2404.15790 (2024)
2023
[c16]
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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]
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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]
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Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. WACV 2022: 449-458
[i6]
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  - journals/corr/abs-2211-16632
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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]
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  - journals/corr/abs-2103-13538
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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]
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  - journals/mia/YaoZJHH20
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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]
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  - conf/bibm/GuoWMYZH20
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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]
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  - conf/eccv/YangAWZYH20
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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]
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  - journals/corr/abs-2003-04614
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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]
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  - journals/corr/abs-2009-11169
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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

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2019
[c11]
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  - conf/miccai/YaoZH19
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Jiawen Yao, Xinliang Zhu, Junzhou Huang:
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI (1) 2019: 496-504
2018
[c10]
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  - conf/bcb/ZhuLZYH18
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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]
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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]
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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]
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Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang:
WSISA: Making Survival Prediction from Whole Slide Histopathological Images. CVPR 2017: 6855-6863
[c6]
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Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang:
Deep Correlational Learning for Survival Prediction from Multi-modality Data. MICCAI (2) 2017: 406-414
[i2]
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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]
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  - journals/corr/abs-1708-05446
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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]
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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]
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Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Deep convolutional neural network for survival analysis with pathological images. BIBM 2016: 544-547
[c3]
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  - conf/isbi/ZhuYLXXGH16
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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]
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Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang:
Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) 2016: 649-657
2015
[c1]
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  - conf/aaai/ZhuFZWXP15
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Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan:
10, 000+ Times Accelerated Robust Subset Selection. AAAI 2015: 3217-3224

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