World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
28799
World Ranking
1388
National Ranking
188

Overview

Liqiang Nie is affiliated with Shandong University in China and has a considerable body of work primarily in the field of Computer Science. Their research output spans key subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Mechanics, and Signal Processing.

Their scholarly contributions focus on a range of topics such as Multimodal Machine Learning Applications, Topic Modeling, Advanced Image and Video Retrieval Techniques, Recommender Systems and Techniques, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, and Natural Language Processing Techniques.

Some of the recent papers authored by or involving Liqiang Nie include:

  • DualGNN: Dual Graph Neural Network for Multimedia Recommendation, 2021, IEEE Transactions on Multimedia
  • HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification, 2021, ACM Transactions on Information Systems
  • BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • A Survey of Knowledge Enhanced Pre-Trained Language Models, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Liqiang Nie frequently collaborates with other researchers, with notable coauthors including Xuemeng Song, Weili Guan, Zhiyong Cheng, Yinwei Wei, and Mohan Kankanhalli.

The predominant venues where Liqiang Nie's work has been published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • ACM Transactions on Multimedia Computing Communications and Applications

In addition to journal and conference publications, Liqiang Nie has authored books published by Morgan & Claypool Publishers. These include:

  • Compatibility Modeling (2020)
  • Graph Learning for Fashion Compatibility Modeling (2022)
  • Advanced Multimodal Compatibility Modeling and Recommendation (expected 2025)

Best Publications

  • Neural Collaborative Filtering

    Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • From action to activity

    Ye Liu;Liqiang Nie;Li Liu;David S. Rosenblum

  • MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • Depression detection via harvesting social media: a multimodal dictionary learning solution

    Guangyao Shen;Jiang Jia;Liqiang Nie;Fuli Feng

  • Action2Activity: recognizing complex activities from sensor data

    Ye Liu;Liqiang Nie;Lei Han;Luming Zhang

  • An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

    Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

  • Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • Contrastive Learning for Cold-Start Recommendation

    Yinwei Wei;Xiang Wang;Qi Li;Liqiang Nie

  • Attentive Moment Retrieval in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Xiangnan He

  • Interest-aware Message-Passing GCN for Recommendation

    Fan Liu;Zhiyong Cheng;Lei Zhu;Zan Gao

  • Item Silk Road: Recommending Items from Information Domains to Social Users

    Xiang Wang;Xiangnan He;Liqiang Nie;Tat-Seng Chua

  • Fortune teller: predicting your career path

    Ye Liu;Luming Zhang;Liqiang Nie;Yan Yan

  • Denoising Implicit Feedback for Recommendation

    Wenjie Wang;Fuli Feng;Xiangnan He;Liqiang Nie

  • Rank-Constrained Spectral Clustering With Flexible Embedding

    Zhihui Li;Feiping Nie;Xiaojun Chang;Liqiang Nie

  • Cross-modal Moment Localization in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Qi Tian

  • TEM: Tree-enhanced Embedding Model for Explainable Recommendation

    Xiang Wang;Xiangnan He;Fuli Feng;Liqiang Nie

  • Disease Inference from Health-Related Questions via Sparse Deep Learning

    Liqiang Nie;Meng Wang;Luming Zhang;Shuicheng Yan

  • NeuroStylist: Neural Compatibility Modeling for Clothing Matching

    Xuemeng Song;Fuli Feng;Jinhuan Liu;Zekun Li

  • Harvesting visual concepts for image search with complex queries

    Liqiang Nie;Shuicheng Yan;Meng Wang;Richang Hong

Frequent Co-Authors

Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Xiangnan He
Xiangnan He University of Science and Technology of China
Zhiyong Cheng
Zhiyong Cheng Qilu University of Technology
Richang Hong
Richang Hong Hefei University of Technology
Meng Wang
Meng Wang Hefei University of Technology
Fuli Feng
Fuli Feng University of Science and Technology of China
Lei Zhu
Lei Zhu Tongji University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Jialie Shen
Jialie Shen City, University of London
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore

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