Yue Ning

Yue Ning

Stevens Institute of Technology

H-index: 17

North America-United States

About Yue Ning

Yue Ning, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of Data Analytics, Knowledge Discovery, Machine Learning.

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

A Topology-aware Graph Coarsening Framework for Continual Graph Learning

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis

Multi-label clinical time-series generation via conditional gan

Certified edge unlearning for graph neural networks

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning

Fairlp: Towards fair link prediction on social network graphs

Yue Ning Information

University

Position

___

Citations(all)

1191

Citations(since 2020)

1105

Cited By

255

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

Stevens Institute of Technology

Google Scholar

View Google Scholar Profile

Yue Ning Skills & Research Interests

Data Analytics

Knowledge Discovery

Machine Learning

Top articles of Yue Ning

Title

Journal

Author(s)

Publication Date

A Topology-aware Graph Coarsening Framework for Continual Graph Learning

arXiv preprint arXiv:2401.03077

Xiaoxue Han

Zhuo Feng

Yue Ning

2024/1/5

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness

Nan Cui

Xiuling Wang

Wendy Hui Wang

Violet Chen

Yue Ning

2023/12/1

Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis

Sustainability

Jing Chen

Germán G Creamer

Yue Ning

Tal Ben-Zvi

2023/11/10

Multi-label clinical time-series generation via conditional gan

IEEE Transactions on Knowledge and Data Engineering

Chang Lu

Chandan K Reddy

Ping Wang

Dong Nie

Yue Ning

2023/8/31

Certified edge unlearning for graph neural networks

Kun Wu

Jie Shen

Yue Ning

Ting Wang

Wendy Hui Wang

2023/8/6

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning

NeurIPS 2023

Chang Lu

Chandan K Reddy

Ping Wang

Yue Ning

2023/12

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning

Songgaojun Deng

Huzefa Rangwala

Yue Ning

2022

Fairlp: Towards fair link prediction on social network graphs

Proceedings of the international AAAI conference on web and social media

Yanying Li

Xiuling Wang

Yue Ning

Hui Wang

2022/5/31

Identifying geopolitical event precursors using attention-based LSTMs

Frontiers in artificial intelligence

KSM Tozammel Hossain

Hrayr Harutyunyan

Yue Ning

Brendan Kennedy

Naren Ramakrishnan

...

2022/10/31

Weakly-supervised metric learning with cross-module communications for the classification of anterior chamber angle images

Jingqi Huang

Yue Ning

Dong Nie

Linan Guan

Xiping Jia

2022

Anti-asian hate speech detection via data augmented semantic relation inference

Proceedings of the International AAAI Conference on Web and Social Media

Jiaxuan Li

Yue Ning

2022/5/31

Algorithmic fairness in computational medicine

eBioMedicine

Jie Xu

Yunyu Xiao

Wendy Hui Wang

Yue Ning

Elizabeth A Shenkman

...

2022/10/1

Analytical precursor mining for personalized recommendation

2022/4/21

Fast Yet Effective Graph Unlearning through Influence Analysis

Kun Wu

Jie Shen

Yue Ning

Wendy Hui Wang

2022/9/29

Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis

Jing Chen

Germán G Creamer

Yue Ning

2022/12/17

Robust Event Forecasting with Spatiotemporal Confounder Learning

Songgaojun Deng

Huzefa Rangwala

Yue Ning

2022/8/14

Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding

Kun Wu

Jacob Erickson

Wendy Hui Wang

Yue Ning

2022/11/10

Context-aware health event prediction via transition functions on dynamic disease graphs

Proceedings of the AAAI Conference on Artificial Intelligence

Chang Lu

Tian Han

Yue Ning

2022/6/28

Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction

Xiaoxue Han

Yue Ning

2022/12/1

Self-supervised graph learning with hyperbolic embedding for temporal health event prediction

IEEE Transactions on Cybernetics

Chang Lu

Chandan K Reddy

Yue Ning

2021/9/9

See List of Professors in Yue Ning University(Stevens Institute of Technology)

Co-Authors

H-index: 67
Naren Ramakrishnan

Naren Ramakrishnan

Virginia Polytechnic Institute and State University

H-index: 46
Chandan K. Reddy

Chandan K. Reddy

Virginia Polytechnic Institute and State University

H-index: 29
Wendy Hui Wang

Wendy Hui Wang

Stevens Institute of Technology

H-index: 11
Hao Wu

Hao Wu

Virginia Polytechnic Institute and State University

H-index: 5
Songgaojun (Amy) Deng

Songgaojun (Amy) Deng

Stevens Institute of Technology

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