World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6428
World Ranking
9336
National Ranking
3965

Overview

Lifang He is affiliated with Lehigh University in the United States and has an extensive publication record primarily in the field of Computer Science. Their research contributions span several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Molecular Biology, and Cognitive Neuroscience.

The scientist's work covers a range of topics with notable focus on advanced methodologies and applications such as:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Functional Brain Connectivity Studies
  • Complex Network Analysis Techniques
  • Stochastic Dynamics and Bifurcation
  • Probabilistic and Robust Engineering Design
  • Face and Expression Recognition

Lifang He has a significant number of scholarly articles published in respected venues. Some of the recent notable papers include:

  • "A Survey on Text Classification: From Traditional to Deep Learning," 2022, ACM Transactions on Intelligent Systems and Technology
  • "A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT," 2024, International Journal of Machine Learning and Cybernetics
  • "Multi-level Feature Learning for Contrastive Multi-view Clustering," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Adversarial Attack and Defense on Graph Data: A Survey," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning," 2021, Information Sciences

The scientist has published extensively in venues such as arXiv with 59 publications, Proceedings of the AAAI Conference on Artificial Intelligence with 7 publications, IEEE Transactions on Knowledge and Data Engineering with 6 publications, IEEE Transactions on Neural Networks and Learning Systems with 4 publications, and Physica Scripta with 4 publications.

Lifang He frequently collaborates with other researchers, coauthoring with individuals including Philip S. Yu, Hao Peng, Lichao Sun, Xiaorong Pu, and Yazhou Ren.

Best Publications

  • 2014 IEEE International Conference on Data Mining

    Aleksandr Aravkin;Aurelie Lozano;Ronny Luss;Prabhajan Kambadur

  • Multi-level Feature Learning for Contrastive Multi-view Clustering

    Unknown

  • A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

    Unknown

  • Multiple incomplete views clustering via weighted nonnegative matrix factorization with L 2,1 regularization

    Weixiang Shao;Lifang He;Philip S. Yu

  • Deep learning for drug repurposing: Methods, databases, and applications

    Unknown

  • Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

    Hao Peng;Bowen Du;Mingsheng Liu;Mingzhe Liu

  • KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

    Ye Liu;Yao Wan;Lifang He;Hao Peng

  • SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism

    Qingyun Sun;Jianxin Li;Hao Peng;Jia Wu

  • Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

    Hao Peng;Jianxin Li;Senzhang Wang;Lihong Wang

  • A robust least squares support vector machine for regression and classification with noise

    Xiaowei Yang;Liangjun Tan;Lifang He

  • A Linear Support Higher-Order Tensor Machine for Classification

    Zhifeng Hao;Lifang He;Bingqian Chen;Xiaowei Yang

  • The one-against-all partition based binary tree support vector machine algorithms for multi-class classification

    Xiaowei Yang;Qiaozhen Yu;Lifang He;Tengjiao Guo

  • Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering

    Jie Xu;Yazhou Ren;Huayi Tang;Xiaorong Pu

  • Online multi-view clustering with incomplete views

    Weixiang Shao;Lifang He;Chun-ta Lu;Philip S. Yu

  • Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.

    Jianxin Li;Hao Peng;Yuwei Cao;Yingtong Dou

  • A Survey on Text Classification: From Shallow to Deep Learning

    Qian Li;Hao Peng;Jianxin Li;Congying Xia

  • Joint Community and Structural Hole Spanner Detection via Harmonic Modularity

    Lifang He;Chun-Ta Lu;Jiaqi Ma;Jianping Cao

  • Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks

    Hao Peng;Jianxin Li;Yangqiu Song;Renyu Yang

  • Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.

    Lichao Sun;Congying Xia;Wenpeng Yin;Tingting Liang

  • Citywide traffic congestion estimation with social media

    Senzhang Wang;Lifang He;Leon Stenneth;Philip S. Yu

  • Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data

    Senzhang Wang;Xiaoming Zhang;Jianping Cao;Lifang He

  • DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.

    Lifang He;Xiangnan Kong;Philip S. Yu;Ann B. Ragin

  • Multilinear Factorization Machines for Multi-Task Multi-View Learning

    Chun-Ta Lu;Lifang He;Weixiang Shao;Bokai Cao

  • Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification

    Hao Peng;Jianxin Li;Qiran Gong;Yuanxing Ning

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Jianxin Li
Jianxin Li Tianjin Polytechnic University
Senzhang Wang
Senzhang Wang Central South University
Xiaowei Yang
Xiaowei Yang Shanghai Jiao Tong University
Linlin Shen
Linlin Shen Shenzhen University
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Jiayu Zhou
Jiayu Zhou Michigan State University
Zhoujun Li
Zhoujun Li Beihang University
Zakirul Alam Bhuiyan
Zakirul Alam Bhuiyan Fordham University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University

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