World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
19756
World Ranking
1221
National Ranking
168

Overview

Tianrui Li is affiliated with Southwest Jiaotong University in China and has contributed extensively to the fields of computer science and engineering. Their work spans multiple subfields, including artificial intelligence, computer vision and pattern recognition, computational theory and mathematics, information systems, and signal processing.

The scientist's research interests focus on several main topics, which include:

  • Rough Sets and Fuzzy Logic
  • Face and Expression Recognition
  • Text and Document Classification Technologies
  • Data Mining Algorithms and Applications
  • Image Retrieval and Classification Techniques
  • Traffic Prediction and Management Techniques
  • Advanced Clustering Algorithms Research

Throughout their career, Tianrui Li has published extensively across numerous venues. The most frequent publication outlets for their work are:

  • Knowledge-Based Systems
  • arXiv (Cornell University)
  • Information Sciences
  • SSRN Electronic Journal
  • Information Fusion

Some of their recent papers, reflecting their ongoing engagement with topics related to video retrieval, time series forecasting, and information fusion, include:

  • CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning, 2022, Neurocomputing
  • Multivariate time series forecasting via attention-based encoder-decoder framework, 2020, Neurocomputing
  • Urban flow prediction from spatiotemporal data using machine learning: A survey, 2020, Information Fusion
  • Multi-source information fusion based on rough set theory: A review, 2020, Information Fusion
  • Long sequence time-series forecasting with deep learning: A survey, 2023, Information Fusion

Tianrui Li frequently collaborates with various researchers, with the most regular coauthors being:

  • Hongmei Chen
  • Chuan Luo
  • Shi-Jinn Horng
  • Hongjun Wang
  • Zhong Yuan

This collaboration network highlights Tianrui Li's role in a broader research community working in artificial intelligence and data mining.

Their research contributions reflect a sustained focus on both theoretical frameworks and practical applications, such as forecasting, information fusion, and pattern recognition techniques, which intersect multiple domains within computer science and engineering.

Best Publications

  • Predicting citywide crowd flows using deep spatio-temporal residual networks

    Junbo Zhang;Yu Zheng;Dekang Qi;Ruiyuan Li

  • Forecasting Fine-Grained Air Quality Based on Big Data

    Yu Zheng;Xiuwen Yi;Ming Li;Ruiyuan Li

  • Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

    Shengdong Du;Tianrui Li;Yan Yang;Shi-Jinn Horng

  • Multivariate time series forecasting via attention-based encoder–decoder framework

    Shengdong Du;Tianrui Li;Yan Yang;Shi-Jinn Horng

  • A rough sets based characteristic relation approach for dynamic attribute generalization in data mining

    Tianrui Li;Da Ruan;Wets Geert;Jing Song

  • Deep Distributed Fusion Network for Air Quality Prediction

    Xiuwen Yi;Junbo Zhang;Zhaoyuan Wang;Tianrui Li

  • b-SPECS+: Batch Verification for Secure Pseudonymous Authentication in VANET

    Shi-Jinn Horng;Shiang-Feng Tzeng;Yi Pan;Pingzhi Fan

  • Urban flow prediction from spatiotemporal data using machine learning: A survey

    Peng Xie;Tianrui Li;Jia Liu;Shengdong Du

  • Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs

    Shiang-Feng Tzeng;Shi-Jinn Horng;Tianrui Li;Xian Wang

  • Urban big data fusion based on deep learning: An overview

    Jia Liu;Tianrui Li;Peng Xie;Shengdong Du

  • An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks

    Shi-Jinn Horng;Shiang-Feng Tzeng;Po-Hsian Huang;Xian Wang

  • Multi-source information fusion based on rough set theory: A review

    Pengfei Zhang;Tianrui Li;Guoqiang Wang;Chuan Luo

  • Incorporating logistic regression to decision-theoretic rough sets for classifications

    Dun Liu;Tianrui Li;Decui Liang

  • A fuzzy rough set approach for incremental feature selection on hybrid information systems

    Anping Zeng;Tianrui Li;Dun Liu;Junbo Zhang

  • Three-way Investment Decisions with Decision-theoretic Rough Sets

    Dun Liu;Yiyu Yao;Tianrui Li

  • A Decision-Theoretic Rough Set Approach for Dynamic Data Mining

    Hongmei Chen;Tianrui Li;Chuan Luo;Shi-Jinn Horng

  • Probabilistic model criteria with decision-theoretic rough sets

    Dun Liu;Tianrui Li;Da Ruan

  • Composite rough sets for dynamic data mining

    Junbo Zhang;Junbo Zhang;Tianrui Li;Hongmei Chen

  • A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments

    Hongmei Chen;Tianrui Li;Da Ruan;Jianhui Lin

  • Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems

    Junbo Zhang;Tianrui Li;Da Ruan;Dun Liu

  • UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.

    Huaishao Luo;Lei Ji;Botian Shi;Haoyang Huang

Frequent Co-Authors

Dun Liu
Dun Liu Southwest Jiaotong University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Shi-Jinn Horng
Shi-Jinn Horng Asia University Taiwan
Da Ruan
Da Ruan Ghent University
Haiquan Zhao
Haiquan Zhao Southwest Jiaotong University
Bing Liu
Bing Liu University of Illinois at Chicago
Decui Liang
Decui Liang University of Electronic Science and Technology of China
Jie Lu
Jie Lu University of Technology Sydney
Guangquan Zhang
Guangquan Zhang University of Technology Sydney
Zheng Yan
Zheng Yan Xidian University

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