PeopleofSuperintelligence

Researcher

Zhaoxiang Zhang

Also known as 张兆翔

Zhaoxiang Zhang is a computer vision researcher at the Institute of Automation of the Chinese Academy of Sciences (CASIA), whose work covers object detection and driving world models. He earned a bachelor's degree at the University of Science and Technology of China in 2004 and a PhD under Tieniu Tan at CASIA in 2009, taught at Beihang University from 2009 to 2015, and returned to CASIA in July 2015. In 2019, he coauthored the Trident Network for object detection, and in November 2023 he coauthored Drive-WM, a world model for autonomous driving. The International Association for Pattern Recognition named him a Fellow in 2024. He is a full professor at CASIA and executive deputy director of its Pattern Recognition Laboratory.

Badges

Timeline

  1. 2004–2009

    Doctorate under Tieniu Tan

    He receives a bachelor's degree from the Department of Electronic Science and Technology at the University of Science and Technology of China in 2004. He then studies under Professor Tieniu Tan at the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, and earns his PhD there in 2009.

  2. 2009–2015

    Teaching at Beihang University

    In October 2009, he joins the School of Computer Science and Engineering at Beihang University as an assistant professor, and he becomes an associate professor in 2012. From 2014 to 2015, he is vice-director of the Department of Computer Application Technology.

  3. July 2015

    Return to the Institute of Automation

    In July 2015, he returns to the Institute of Automation, Chinese Academy of Sciences. He is a full professor there in the Center for Research on Intelligent Perception and Computing (CRIPAC) and the National Laboratory of Pattern Recognition.

  4. 2019

    CAAI Distinguished Contributions Award

    In 2019, he receives the Distinguished Contributions Award of the Chinese Association for Artificial Intelligence (CAAI) and is awarded the National Youth Talent Support Program.

  5. 2019

    Trident Networks for detection

    In 2019, he coauthors Scale-Aware Trident Networks for Object Detection with Yanghao Li, Yuntao Chen and Naiyan Wang, for ICCV 2019. TridentNet is a parallel multi-branch network, with each branch sharing the same transformation parameters and using its own receptive field, and it reaches 48.4 mAP on COCO with a ResNet-101 backbone.

  6. November 2023

    Drive-WM driving world model

    In November 2023, he coauthors Driving into the Future, a paper that introduces Drive-WM, a driving world model compatible with existing end-to-end planning models. Drive-WM generates multiview videos of driving scenes and chooses a trajectory from image-based rewards.

  7. 2024

    Fellow of the IAPR

    In 2024, the International Association for Pattern Recognition names him a Fellow for contributions to pattern recognition and visual perception.

  8. As of October 2026

    Executive deputy director at CASIA

    He is a full professor at the National Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems at the Institute of Automation, Chinese Academy of Sciences. He also serves as executive deputy director of the Pattern Recognition Laboratory.

Career

  1. Since 2015Institute of Automation, Chinese Academy of SciencesFull Professor
  2. NowChinese Academy of SciencesFull Professor
  3. 2009–2015Beihang UniversityAssistant Professor, Associate Professor

Education

  1. 2009Institute of Automation, Chinese Academy of SciencesPhD
  2. 2004University of Science and Technology of ChinaBachelor's degree

From the biography.

  1. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Chinese Academy of Sciences. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  2. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Chinese Academy of Sciences. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Chinese Academy of Sciences. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes Chinese Academy of Sciences. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. 张兆翔-中国科学院大学-UCAS people.ucas.ac.cn. Checked 21 October 2026.
  2. [1901.01892] Scale-Aware Trident Networks for Object Detection arxiv.org. Checked 21 October 2026.
  3. [2311.17918] Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving arxiv.org. Checked 21 October 2026.
  4. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 21 October 2026.
  5. Zhaoxiang Zhang — 0 mentions on Teahose teahose.com. Checked 21 October 2026.