World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11668
World Ranking
3676
National Ranking
489

Overview

Qi Liu is affiliated with the University of Science and Technology of China in China. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions to Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology, and Aerospace Engineering.

Their work encompasses a range of topics including Topic Modeling, Recommender Systems and Techniques, Natural Language Processing Techniques, Advanced Graph Neural Networks, Anomaly Detection Techniques and Applications, Text and Document Classification Technologies, and Video Surveillance and Tracking Methods.

Qi Liu has been involved in publishing research in multiple venues, frequently contributing to arXiv (Cornell University), SSRN Electronic Journal, Research Square, and the Proceedings of the AAAI Conference on Artificial Intelligence. Other venues include the 2022 IEEE International Conference series covering Dependable, Autonomic and Secure Computing, Pervasive Intelligence and Computing, Cloud and Big Data Computing, and Cyber Science and Technology Congress.

Recent published papers include:

  • TiDB, 2020, Proceedings of the VLDB Endowment
  • A survey on large language models for recommendation, 2024, World Wide Web
  • Recent advances in the medical applications of hemostatic materials, 2022, Theranostics
  • Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • A blockchain-based code copyright management system, 2021, Information Processing & Management

Qi Liu has collaborated with several frequent co-authors, notably Enhong Chen, Mingyue Cheng, Zhenya Huang, Xiaodong Liu, and Rong Cao. These collaborations have been sustained across many publications, indicating ongoing research partnerships.

Best Publications

  • Time series classification using multi-channels deep convolutional neural networks

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction

    Qi Liu;Zhenya Huang;Yu Yin;Enhong Chen

  • SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

    Hongwei Wang;Fuzheng Zhang;Min Hou;Xing Xie

  • Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking

    Qi Liu;Enhong Chen;Hui Xiong;C. H. Q. Ding

  • Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • Personalized Travel Package Recommendation

    Qi Liu;Yong Ge;Zhongmou Li;Enhong Chen

  • Exercise-Enhanced Sequential Modeling for Student Performance Prediction

    Yu Su;Qingwen Liu;Qi Liu;Zhenya Huang

  • Neural Cognitive Diagnosis for Intelligent Education Systems.

    Fei Wang;Qi Liu;Enhong Chen;Zhenya Huang

  • Exploiting Cognitive Structure for Adaptive Learning

    Qi Liu;Shiwei Tong;Chuanren Liu;Hongke Zhao

  • Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

    Zhi Li;Hongke Zhao;Qi Liu;Zhenya Huang

  • Molecular property prediction: A multilevel quantum interactions modeling perspective

    Chengqiang Lu;Qi Liu;Chao Wang;Zhenya Huang

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

    Hao Wang;Tong Xu;Qi Liu;Defu Lian

  • A Cocktail Approach for Travel Package Recommendation

    Qi Liu;Enhong Chen;Hui Xiong;Yong Ge

  • Fuzzy Cognitive Diagnosis for Modelling Examinee Performance

    Qi Liu;Runze Wu;Enhong Chen;Guandong Xu

  • Cost-aware travel tour recommendation

    Yong Ge;Qi Liu;Hui Xiong;Alexander Tuzhilin

  • Learning Process-consistent Knowledge Tracing

    Shuanghong Shen;Qi Liu;Enhong Chen;Zhenya Huang

  • Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

    Zaixi Zhang;Qi Liu;Hao Wang;Chengqiang Lu

  • Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process

    Shuanghong Shen;Qi Liu;Enhong Chen;Han Wu

  • Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach

    Wei Huang;Enhong Chen;Qi Liu;Yuying Chen

  • RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

    Weibo Gao;Qi Liu;Zhenya Huang;Yu Yin

  • Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services

    Le Wu;Yong Ge;Qi Liu;Enhong Chen

  • Question Difficulty Prediction for READING Problems in Standard Tests.

    Zhenya Huang;Qi Liu;Enhong Chen;Hongke Zhao

  • A SURVEY OF CONTEXT-AWARE MOBILE RECOMMENDATIONS

    Qi Liu;Haiping Ma;Enhong Chen;Hui Xiong

  • Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach

    Yang Liu;Qi Liu;Hongke Zhao;Zhen Pan

  • Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.

    Kai Zhang;Hefu Zhang;Qi Liu;Hongke Zhao

  • ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

    Zhongkai Hao;Chengqiang Lu;Zhenya Huang;Hao Wang

  • Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series

    Yong Ge;Qi Liu;Enhong Chen;J. Leon Zhao

Frequent Co-Authors

Enhong Chen
Enhong Chen University of Science and Technology of China
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yong Ge
Yong Ge University of Arizona
Defu Lian
Defu Lian University of Science and Technology of China
Xing Xie
Xing Xie Microsoft Research Asia (China)
Feida Zhu
Feida Zhu Singapore Management University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
J. Leon Zhao
J. Leon Zhao Chinese University of Hong Kong, Shenzhen
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)
Alexander Tuzhilin
Alexander Tuzhilin New York University

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