2026 Bolei Zhou: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1819	1760	923	886	161	45826

Overview

Bolei Zhou is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on areas within Computer Science and Engineering, with a significant emphasis on Computer Vision and Pattern Recognition and Artificial Intelligence.

The scientist has contributed extensively to research topics including:

Generative Adversarial Networks and Image Synthesis
Advanced Vision and Imaging
Autonomous Vehicle Technology and Safety
Reinforcement Learning in Robotics
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications

Bolei Zhou has frequently published in several prominent venues, notably:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Proceedings of the AAAI Conference on Artificial Intelligence

Some of their recent papers include:

Understanding the role of individual units in a deep neural network, 2020, Proceedings of the National Academy of Sciences
Cross-View Semantic Segmentation for Sensing Surroundings, 2020, IEEE Robotics and Automation Letters
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis, 2021, International Journal of Computer Vision
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Their research collaborations include frequent co-authors such as Yinghao Xu, Yujun Shen, Ceyuan Yang, Zhenghao Peng, and Quanyi Li.

Best Publications

Learning Deep Features for Discriminative Localization

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva

10765
Citations
Places: A 10 Million Image Database for Scene Recognition

Bolei Zhou;Agata Lapedriza;Aditya Khosla;Aude Oliva

4065
Citations
Learning Deep Features for Scene Recognition using Places Database

Bolei Zhou;Agata Lapedriza;Jianxiong Xiao;Antonio Torralba

3309
Citations
Scene Parsing through ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Sanja Fidler

3033
Citations
Unified Perceptual Parsing for Scene Understanding

Tete Xiao;Yingcheng Liu;Bolei Zhou;Yuning Jiang

1820
Citations
Semantic Understanding of Scenes Through the ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Tete Xiao

1709
Citations
Network Dissection: Quantifying Interpretability of Deep Visual Representations

David Bau;Bolei Zhou;Aditya Khosla;Aude Oliva

1356
Citations
Object Detectors Emerge in Deep Scene CNNs

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva

1141
Citations
Temporal Relational Reasoning in Videos

Bolei Zhou;Alex Andonian;Aude Oliva;Antonio Torralba

1117
Citations
Interpreting the Latent Space of GANs for Semantic Face Editing

Yujun Shen;Jinjin Gu;Xiaoou Tang;Bolei Zhou

1069
Citations
Measuring human perceptions of a large-scale urban region using machine learning

Fan Zhang;Fan Zhang;Fan Zhang;Bolei Zhou;Liu Liu;Yu Liu

708
Citations
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs.

Yujun Shen;Ceyuan Yang;Xiaoou Tang;Bolei Zhou

705
Citations
Scene Graph Generation from Objects, Phrases and Region Captions

Yikang Li;Wanli Ouyang;Bolei Zhou;Kun Wang

547
Citations
Closed-Form Factorization of Latent Semantics in GANs

Yujun Shen;Bolei Zhou

526
Citations
Moments in Time Dataset: One Million Videos for Event Understanding

Mathew Monfort;Carl Vondrick;Aude Oliva;Alex Andonian

500
Citations
In-Domain GAN Inversion for Real Image Editing

Jiapeng Zhu;Yujun Shen;Deli Zhao;Bolei Zhou

498
Citations
Person Search with Natural Language Description

Shuang Li;Tong Xiao;Hongsheng Li;Bolei Zhou

496
Citations
Temporal Pyramid Network for Action Recognition

Ceyuan Yang;Yinghao Xu;Jianping Shi;Bo Dai

446
Citations
Places: An Image Database for Deep Scene Understanding

Bolei Zhou;Aditya Khosla;Àgata Lapedriza;Antonio Torralba

430
Citations
Semantic photo manipulation with a generative image prior

David Bau;Hendrik Strobelt;William Peebles;Jonas Wulff

426
Citations
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

David Bau;Jun-Yan Zhu;Hendrik Strobelt;Bolei Zhou

409
Citations
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents

Bolei Zhou;Xiaogang Wang;Xiaoou Tang

401
Citations
Simple Baseline for Visual Question Answering

Bolei Zhou;Yuandong Tian;Sainbayar Sukhbaatar;Arthur Szlam

391
Citations
Understanding the role of individual units in a deep neural network.

David Bau;Jun-Yan Zhu;Hendrik Strobelt;Agata Lapedriza

367
Citations

Frequent Co-Authors

Antonio Torralba MIT

Aude Oliva MIT

David Bau Northeastern University

Xiaogang Wang Chinese University of Hong Kong

Xiaoou Tang Chinese University of Hong Kong

Dahua Lin Chinese University of Hong Kong

Jianping Shi SenseTime

Jun-Yan Zhu Carnegie Mellon University

Hendrik Strobelt IBM (United States)

Aditya Khosla MIT

External Links

Personal website of Bolei Zhou Google Scholar page

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

Related Online Degrees & Career Pathways

Thinking about expanding your options beyond a bachelor’s in Computer Science? The flexibility of online learning offers a range of alternatives. For those aiming to enter the workforce quickly, consider 3-month certificate programs that pay well. These programs can help you specialize in high-demand tech skills with a faster turnaround.

If you are looking to advance your career or pivot into new roles, the quick masters degrees online are a popular choice. Such programs often focus on current technology trends, management, or data science, and can be completed in about a year.

Interested in maximizing the value of your degree? Explore the most useful masters degrees. These programs are designed to target industries with high earning potential and strong job growth, including cybersecurity, software engineering, and artificial intelligence.

For students just starting out, an online associate's degree in computer science or IT can offer essential foundational skills. This can be a cost-effective path to entry-level tech jobs or a stepping stone toward further study.