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2025

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Rising Stars

D-Index
49
Citations
9997
World Ranking
341
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Computer Science

D-Index
54
Citations
13565
World Ranking
4512
National Ranking
2113

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Jundong Li is a researcher affiliated with the University of Virginia in the United States with a multidisciplinary focus integrating computer science and medicine. Their published work covers various domains including artificial intelligence, oncology, and information systems, with a particular emphasis on advanced graph neural networks and cancer diagnosis and treatment techniques.

The scientist's research spans several main fields:

  • Computer Science
  • Medicine

Within these fields, their subfields of study include:

  • Artificial Intelligence
  • Oncology
  • Reproductive Medicine
  • Information Systems
  • Computer Vision and Pattern Recognition

Key research topics associated with Jundong Li's publications feature:

  • Advanced Graph Neural Networks
  • Ovarian cancer diagnosis and treatment
  • Recommender Systems and Techniques
  • Topic Modeling
  • Complex Network Analysis Techniques
  • Ethics and Social Impacts of AI
  • Endometrial and Cervical Cancer Treatments

Their frequent collaborators include:

  • Yushun Dong
  • Song Wang
  • Chen Chen
  • Huan Liu
  • Binchi Zhang

Jundong Li's research has been disseminated through reputable publication venues. The venues where they have published most frequently are:

  • arXiv (Cornell University)
  • Journal of Clinical Oncology
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Proceedings of the AAAI Conference on Artificial Intelligence

Representative recent publications include:

  • Self-Supervised Learning for Recommender Systems: A Survey (2023, IEEE Transactions on Knowledge and Data Engineering)
  • Line Graph Neural Networks for Link Prediction (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Camrelizumab Plus Apatinib in Patients With Advanced Cervical Cancer (CLAP): A Multicenter, Open-Label, Single-Arm, Phase II Trial (2020, Journal of Clinical Oncology)
  • Enhancing Social Recommendation With Adversarial Graph Convolutional Networks (2020, IEEE Transactions on Knowledge and Data Engineering)
  • Using machine learning to predict ovarian cancer (2020, International Journal of Medical Informatics)

Best Publications

  • Feature Selection: A Data Perspective

    Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter

  • Feature Selection: A Data Perspective

    Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter

  • Label Informed Attributed Network Embedding

    Xiao Huang;Jundong Li;Xia Hu

  • Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

    Junliang Yu;Hongzhi Yin;Jundong Li;Qinyong Wang

  • Deep Anomaly Detection on Attributed Networks.

    Kaize Ding;Jundong Li;Rohit Bhanushali;Huan Liu

  • Self-Supervised Learning for Recommender Systems: A Survey

    Unknown

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • Accelerated attributed network embedding

    Xiao Huang;Jundong Li;Xia Hu

  • Challenges of Feature Selection for Big Data Analytics

    Jundong Li;Huan Liu

  • A Survey of Learning Causality with Data: Problems and Methods

    Ruocheng Guo;Lu Cheng;Jundong Li;P. Richard Hahn

  • Radar: residual analysis for anomaly detection in attributed networks

    Jundong Li;Harsh Dani;Xia Hu;Huan Liu

  • Line Graph Neural Networks for Link Prediction.

    Lei Cai;Jundong Li;Jie Wang;Shuiwang Ji

  • Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

    Kaize Ding;Jianling Wang;Jundong Li;Dingcheng Li

  • ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks

    Zhen Peng;Minnan Luo;Jundong Li;Huan Liu

  • Enhance social recommendation with adversarial graph convolutional networks

    Junliang Yu;Hongzhi Yin;Jundong Li;Min Gao

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark

    Shangbin Feng;Herun Wan;Ningnan Wang;Jundong Li

  • A Survey of Learning Causality with Data: Problems and Methods

    Ruocheng Guo;Lu Cheng;Jundong Li;P. Richard Hahn

  • Interactive Anomaly Detection on Attributed Networks

    Kaize Ding;Jundong Li;Huan Liu

  • Multi-label informed feature selection

    Ling Jian;Jundong Li;Kai Shu;Huan Liu

  • Using machine learning to predict ovarian cancer.

    Mingyang Lu;Zhenjiang Fan;Bin Xu;Lujun Chen

  • Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation

    Junliang Yu;Min Gao;Jundong Li;Hongzhi Yin

  • Unsupervised Streaming Feature Selection in Social Media

    Jundong Li;Xia Hu;Jiliang Tang;Huan Liu

  • Graph Prototypical Networks for Few-shot Learning on Attributed Networks

    Kaize Ding;Jianling Wang;Jundong Li;Kai Shu

  • TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark

    Shangbin Feng;Herun Wan;Ningnan Wang;Jundong Li

  • Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

    Junwei Zhang;Min Gao;Junliang Yu;Lei Guo

Frequent Co-Authors

Huan Liu
Huan Liu Arizona State University
Xia Hu
Xia Hu Rice University
Jiliang Tang
Jiliang Tang Michigan State University
Qinghua Zheng
Qinghua Zheng Xi'an Jiaotong University
Hongzhi Yin
Hongzhi Yin University of Queensland
Osmar R. Zaïane
Osmar R. Zaïane University of Alberta
Yi Chang
Yi Chang Jilin University
Shuiwang Ji
Shuiwang Ji Texas A&M University
Suhang Wang
Suhang Wang Pennsylvania State University
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign

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