World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13919
World Ranking
3813
National Ranking
1812

Overview

Liefeng Bo is affiliated with Alibaba Group (United States) and has contributed extensively to the fields of computer science and engineering. Their research primarily covers subfields such as computer vision and pattern recognition, artificial intelligence, computational mechanics, control and systems engineering, and computer graphics and computer-aided design.

The main topics of their research include advanced vision and imaging, generative adversarial networks and image synthesis, computer graphics and visualization techniques, human motion and animation, 3D shape modeling and analysis, topic modeling, and face recognition and analysis.

Bo has a prolific publication record with a significant presence on arXiv and multiple contributions to prominent venues such as the Proceedings of the AAAI Conference on Artificial Intelligence and the IEEE Transactions on Neural Networks and Learning Systems. Notable recent papers include:

  • Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Knowledge-aware Coupled Graph Neural Network for Social Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-Behavior Graph Neural Networks for Recommender System, 2022, IEEE Transactions on Neural Networks and Learning Systems

The scientist has collaborated frequently with other researchers, including Zilong Dong, Bang Zhang, Weihao Yuan, Chao Huang, and Lianghao Xia.

Bo has also authored a book titled Federated Learning, published by World Scientific in 2024.

Best Publications

  • A large-scale hierarchical multi-view RGB-D object dataset

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Multiobjective immune algorithm with nondominated neighbor-based selection

    Maoguo Gong;Licheng Jiao;Haifeng Du;Liefeng Bo

  • RGB-(D) scene labeling: Features and algorithms

    Xiaofeng Ren;Liefeng Bo;Dieter Fox

  • Unsupervised Feature Learning for RGB-D Based Object Recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Kernel Descriptors for Visual Recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Depth kernel descriptors for object recognition

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • Unsupervised feature learning for 3D scene labeling

    Kevin Lai;Liefeng Bo;Dieter Fox

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Unknown

  • Object recognition with hierarchical kernel descriptors

    Liefeng Bo;Kevin Lai;Xiaofeng Ren;Dieter Fox

  • Twin Gaussian Processes for Structured Prediction

    Liefeng Bo;Cristian Sminchisescu

  • Efficient Match Kernel between Sets of Features for Visual Recognition

    Liefeng Bo;Cristian Sminchisescu

  • Spectral Clustering Ensemble Applied to SAR Image Segmentation

    Xiangrong Zhang;Licheng Jiao;Fang Liu;Liefeng Bo

  • A Joint Model of Language and Perception for Grounded Attribute Learning

    Cynthia Matuszek;Nicholas Fitzgerald;Luke Zettlemoyer;Liefeng Bo

  • Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Sparse distance learning for object recognition combining RGB and depth information

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Multipath Sparse Coding Using Hierarchical Matching Pursuit

    Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Fast Sparse Approximation for Least Squares Support Vector Machine

    Licheng Jiao;Liefeng Bo;Ling Wang

  • Detection-based object labeling in 3D scenes

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Conditional Neural Fields

    Jian Peng;Liefeng Bo;Jinbo Xu

  • Discriminatively Trained Sparse Code Gradients for Contour Detection

    Ren Xiaofeng;Liefeng Bo

  • Unsupervised Template Learning for Fine-Grained Object Recognition

    Shulin Yang;Liefeng Bo;Jue Wang;Linda G. Shapiro

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Dieter Fox
Dieter Fox University of Washington
Xiaofeng Ren
Xiaofeng Ren Alibaba Group (China)
Longyin Wen
Longyin Wen ByteDance
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Kevin Lai
Kevin Lai Samsara
Dawei Du
Dawei Du ByteDance
Qinghua Hu
Qinghua Hu Tianjin University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Maoguo Gong
Maoguo Gong Xidian University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens many doors to flexible, career-oriented online options. Students focused on affordability may wonder, what is the cheapest data science course in the us? Fortunately, a range of reputable programs are now available at competitive rates, helping you enter this fast-growing sector without a large financial burden.

If you're interested in multidisciplinary fields, look into accredited online electrical engineering programs. These options allow you to expand your skills in hardware, networks, and systems—many of which overlap with core Computer Science roles.

Want to quickly boost your résumé? There are several easy licenses and certifications to get that can enhance your credentials and lead to high-paying tech jobs. These certifications can be completed online and often require less time and investment compared to traditional degrees.

For those seeking advanced credentials, some of the fastest online master’s degree programs make it possible to finish your studies in as little as one year. This path is ideal for ambitious students aiming to accelerate their career trajectory in technology.

Best Scientists Citing Liefeng Bo

Trending Scientists

Recently Published Articles