Tieliang Gong

About Tieliang Gong

Tieliang Gong, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Xi'an Jiaotong University, specializes in the field of machine learning, statistical learning theory, information theory.

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

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation

Accurate spatial quantification in computational pathology with multiple instance learning

Tilted sparse additive models

Learning Guarantees for Non-convex Pairwise SGD with Heavy Tails

Dual attention and patient similarity network for drug recommendation

Robust partially linear models for automatic structure discovery

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

Template-free prompting for few-shot named entity recognition via Semantic-Enhanced Contrastive Learning

Tieliang Gong Information

University

Position

___

Citations(all)

342

Citations(since 2020)

313

Cited By

63

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Tieliang Gong Skills & Research Interests

machine learning

statistical learning theory

information theory

Top articles of Tieliang Gong

Title

Journal

Author(s)

Publication Date

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation

Information Processing & Management

Jialun Wu

Xinyao Yu

Kai He

Zeyu Gao

Tieliang Gong

2024/7/1

Accurate spatial quantification in computational pathology with multiple instance learning

medRxiv

Zeyu Gao

Anyu Mao

Yuxing Dong

Jialun Wu

Jiashuai Liu

...

2024

Tilted sparse additive models

Yingjie Wang

Hong Chen

Weifeng Liu

Fengxiang He

Tieliang Gong

...

2023/7/3

Learning Guarantees for Non-convex Pairwise SGD with Heavy Tails

Jun Chen

Hong Chen

Bin Gu

Tieliang Gong

Guodong Liu

...

2023/10/13

Dual attention and patient similarity network for drug recommendation

Bioinformatics

Jialun Wu

Yuxin Dong

Zeyu Gao

Tieliang Gong

Chen Li

2023/1/1

Robust partially linear models for automatic structure discovery

Expert Systems with Applications

Yuxiang Han

Hong Chen

Tieliang Gong

Jia Cai

Hao Deng

2023/5/1

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

Template-free prompting for few-shot named entity recognition via Semantic-Enhanced Contrastive Learning

IEEE Transactions on Neural Networks and Learning Systems

Kai He

Rui Mao

Yucheng Huang

Tieliang Gong

Chen Li

...

2023/11

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

Optimal randomized approximations for matrix-based rényi’s entropy

IEEE Transactions on Information Theory

Yuxin Dong

Tieliang Gong

Shujian Yu

Chen Li

2023/3/21

On the stability and generalization of triplet learning

Proceedings of the AAAI Conference on Artificial Intelligence

Jun Chen

Hong Chen

Xue Jiang

Bin Gu

Weifu Li

...

2023/6/26

Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding

Yige Wang

Yucheng Huang

Tieliang Gong

Chen Li

2023/9/22

Virtual prompt pre-training for prototype-based few-shot relation extraction

Expert Systems with Applications

Kai He

Yucheng Huang

Rui Mao

Tieliang Gong

Chen Li

...

2023/3/1

Robust and fast measure of information via low-rank representation

Proceedings of the AAAI Conference on Artificial Intelligence

Yuxin Dong

Tieliang Gong

Shujian Yu

Hong Chen

Chen Li

2023/6/26

Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data

IEEE Transactions on Neural Networks and Learning Systems

Yuxin Dong

Tieliang Gong

Hong Chen

Chen Li

2023/9/19

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

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

MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification

IEEE Transactions on Medical Imaging

Jiangbo Shi

Lufei Tang

Zeyu Gao

Yang Li

Chunbao Wang

...

2023/9/8

Provable Domain Generalization via Information Theory Guided Distribution Matching

Yuxin Dong

Tieliang Gong

Hong Chen

Shuangyong Song

Chen Li

2023/10/13

Development and prospect of big data knowledge engineering

Strategic Study of Chinese Academy of Engineering

Qinghua Zheng

Huan Liu

Tieliang Gong

Lingling Zhang

Jun Liu

2023

See List of Professors in Tieliang Gong University(Xi'an Jiaotong University)

Co-Authors

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