Xianli Zhang(张先礼)

About Xianli Zhang(张先礼)

Xianli Zhang(张先礼), With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Xi'an Jiaotong University, specializes in the field of Data Mining, Natural Language Processing, Diffusion Model, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition

A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

Xianli Zhang(张先礼) Information

University

Position

PhD Candidate @

Citations(all)

528

Citations(since 2020)

528

Cited By

36

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Xianli Zhang(张先礼) Skills & Research Interests

Data Mining

Natural Language Processing

Diffusion Model

Healthcare

Top articles of Xianli Zhang(张先礼)

Title

Journal

Author(s)

Publication Date

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition

Yucheng Huang

Wenqiang Liu

Xianli Zhang

Jun Lang

Tieliang Gong

...

2023/7

A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image

IEEE Transactions on Medical Imaging

Jiangbo Shi

Lufei Tang

Yang Li

Xianli Zhang

Zeyu Gao

...

2023/5/5

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning

IEEE Transactions on Medical Imaging

Zeyu Gao

Anyu Mao

Kefei Wu

Yang Li

Liebin Zhao

...

2023/2/23

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation

Shilei* Cao

Yujie* Lin

Xianli* Zhang

Yufu Chen

Zhen Zhu

...

2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images

Medical Image Analysis

Zeyu Gao

Bangyang Hong

Yang Li

Xianli Zhang

Jialun Wu

...

2023/1/1

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation

Xiangjin Xie

Yuxin Chen

Ruipeng Wang

Xianli Zhang

Shilei Cao

...

2022/11/28

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

Xianli Zhang

Buyue Qian

Yang Li

Zeyu Gao

Chong Guan

...

2022/11/28

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

Jialun Wu

Buyue Qian

Yang Li

Zeyu Gao

Meizhi Ju

...

2022/10/17

Copner: Contrastive learning with prompt guiding for few-shot named entity recognition

Yucheng Huang

Kai He

Yige Wang

Xianli Zhang

Tieliang Gong

...

2022/10

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast

IEEE Transactions on Medical Imaging

Zeyu Gao

Chang Jia

Yang Li

Xianli Zhang

Bangyang Hong

...

2022/7/15

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach

Xianli Zhang

Buyue Qian

Yang Li

Yang Liu

Xi Chen

...

2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis

Yang Li

Xianli Zhang

Buyue Qian

Zeyu Gao

Chong Guan

...

2021/12/7

Context-aware and Time-aware Attention-based Model for Disease Risk Prediction with Interpretability

IEEE Transactions on Knowledge and Data Engineering

Xianli Zhang

Buyue Qian

Yang Li

Shilei Cao

Ian Davidson

2021/11/23

Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Zeyu Gao

Bangyang Hong

Xianli Zhang

Yang Li

Chang Jia

...

2021

RECIST-Net: Lesion Detection Via Grouping Keypoints on RECIST-Based Annotation

Cong Xie

Shilei Cao

Dong Wei

Hong-Yu Zhou

Kai Ma

...

2021/4/15

Nuclei grading of clear cell renal cell carcinoma in histopathological image by composite high-resolution network

Zeyu Gao

Jiangbo Shi

Xianli Zhang

Yang Li

Haichuan Zhang

...

2021/9/27

Rethinking Dice Loss for Medical Image Segmentation

Rongjian Zhao

Buyue Qian

Xianli Zhang

Yang Li

Rong Wei

...

2020/11/17

Graph Neural Network-Based Diagnosis Prediction

Big Data

Yang Li

Buyue Qian

Xianli Zhang

Hui Liu

2020/10/1

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

Xianli Zhang

Buyue Qian

Shilei Cao

Yang Li

Hang Chen

...

2020/8/23

Knowledge guided diagnosis prediction via graph spatial-temporal network

Yang Li

Buyue Qian

Xianli Zhang

Hui Liu

2020

See List of Professors in Xianli Zhang(张先礼) University(Xi'an Jiaotong University)

Co-Authors

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