World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8996
World Ranking
8278
National Ranking
1082

Overview

Defu Lian is affiliated with the University of Science and Technology of China. Their research primarily falls within the field of Computer Science, with a significant focus on various subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research, and Signal Processing.

The scientist's work extensively covers topics related to Recommender Systems and Techniques, Topic Modeling, Advanced Graph Neural Networks, Advanced Image and Video Retrieval Techniques, Natural Language Processing Techniques, Advanced Bandit Algorithms Research, and Domain Adaptation and Few-Shot Learning.

Defu Lian has authored numerous papers published in notable venues. Some recent publications include:

  • A Survey on Session-based Recommender Systems, 2021, ACM Computing Surveys
  • When large language models meet personalization: perspectives of challenges and opportunities, 2024, World Wide Web
  • Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Frequency-domain MLPs are More Effective Learners in Time Series Forecasting, 2023, arXiv (Cornell University)
  • HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization, 2022, Proceedings of the ACM Web Conference 2022

Throughout their career, Defu Lian has collaborated with a number of other researchers. Frequent co-authors include Enhong Chen, Zheng Liu, Xing Xie, Chenwang Wu, and Shitao Xiao.

The scientist's publications appear regularly in several recurring venues such as arXiv (Cornell University), ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the AAAI Conference on Artificial Intelligence, and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Best Publications

  • Collaborative Knowledge Base Embedding for Recommender Systems

    Fuzheng Zhang;Nicholas Jing Yuan;Defu Lian;Xing Xie

  • GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation

    Defu Lian;Cong Zhao;Xing Xie;Guangzhong Sun

  • A Survey on Session-based Recommender Systems

    Shoujin Wang;Longbing Cao;Yan Wang;Quan Z. Sheng

  • M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

    Unknown

  • Geography-Aware Sequential Location Recommendation

    Defu Lian;Yongji Wu;Yong Ge;Xing Xie

  • Attention-based transactional context embedding for next-item recommendation

    Shoujin Wang;Liang Hu;Longbing Cao;Xiaoshui Huang

  • When large language models meet personalization: perspectives of challenges and opportunities

    Unknown

  • Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data

    Yingzi Wang;Nicholas Jing Yuan;Defu Lian;Linli Xu

  • C-Pack: Packed Resources For General Chinese Embeddings

    Unknown

  • MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

    Hao Wang;Tong Xu;Qi Liu;Defu Lian

  • Neural Memory Streaming Recommender Networks with Adversarial Training

    Qinyong Wang;Hongzhi Yin;Zhiting Hu;Defu Lian

  • Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection

    Yongji Wu;Defu Lian;Yiheng Xu;Le Wu

  • GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

    Defu Lian;Kai Zheng;Yong Ge;Longbing Cao

  • We know how you live: exploring the spectrum of urban lifestyles

    Nicholas Jing Yuan;Fuzheng Zhang;Defu Lian;Kai Zheng

  • HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

    Unknown

  • Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction

    Defu Lian;Xing Xie;Vincent W. Zheng;Nicholas Jing Yuan

  • Binarized attributed network embedding

    Hong Yang;Shirui Pan;Peng Zhang;Ling Chen

  • Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

    Unknown

  • Scalable Content-Aware Collaborative Filtering for Location Recommendation

    Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

  • Personalized Ranking with Importance Sampling

    Defu Lian;Qi Liu;Enhong Chen

  • GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

    Junhan Yang;Zheng Liu;Shitao Xiao;Chaozhuo Li

  • Learning location naming from user check-in histories

    Defu Lian;Xing Xie

  • Discrete Deep Learning for Fast Content-Aware Recommendation

    Yan Zhang;Hongzhi Yin;Zi Huang;Xingzhong Du

  • Exploiting Dining Preference for Restaurant Recommendation

    Fuzheng Zhang;Nicholas Jing Yuan;Kai Zheng;Defu Lian

  • LightRec: A Memory and Search-Efficient Recommender System

    Defu Lian;Haoyu Wang;Zheng Liu;Jianxun Lian

Frequent Co-Authors

Xing Xie
Xing Xie Microsoft Research Asia (China)
Enhong Chen
Enhong Chen University of Science and Technology of China
Yong Ge
Yong Ge University of Arizona
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)
Qi Liu
Qi Liu University of Science and Technology of China
Tao Zhou
Tao Zhou University of Electronic Science and Technology of China
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Yong Rui
Yong Rui Lenovo (China)
Longbing Cao
Longbing Cao University of Technology Sydney
Hongzhi Yin
Hongzhi Yin University of Queensland

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