Qiwei Du

PhD student

Qiwei Du is a Ph.D. student at the Department of Computer Science and Engineering (CSE), University at Buffalo (UB). His research interests include Neuro-Symbolic AI and 3D Computer Vision. He has received a Presidential Fellowship.

Experience

  • Research Assistant
    • Northeastern University, USA
    • Jul. 2023 - Dec. 2023
  • Research Assistant
    • Tongji University, China
    • Jan. 2022 - Jun. 2023

Education

  • Ph.D. in Computer Science and Engineering
    • University at Buffalo, USA
    • Aug. 2024 - Present
  • B.Eng. in Computer Science and Technology
    • Tongji University, China
    • Sept. 2020 - Jun. 2024

Awards

  • Presidential Fellowship

Emails

Publications

  1. Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy.
    Chen Wang, Kaiyi Ji, Junyi Geng, Zhongqiang Ren, Taimeng Fu, Fan Yang, Yifan Guo, Haonan He, Xiangyu Chen, Zitong Zhan, Qiwei Du, Shaoshu Su, Bowen Li, Yuheng Qiu, Yi Du, Qihang Li, Yifan Yang, Xiao Lin, Zhipeng Zhao.
    arXiv preprint arXiv:2406.16087, 2024.
    SAIR Lab Recommended
  2. LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation.
    Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander Gray, Xujie Si, Sebastian Scherer.
    Advances in Neural Information Processing Systems (NeurIPS), 2024.
  3. A survey of multi-agent cross domain cooperative perception.
    Zhongpan Zhu, Qiwei Du, Zhipeng Wang, Gang Li.
    Electronics, vol. 11, no. 7, p. 1091, 2022.
  4. Intelligent evaluation method of human cervical vertebra rehabilitation based on computer vision.
    Qiwei Du, Heting Bai, Zhongpan Zhu.
    Sensors, vol. 23, no. 8, p. 3825, 2023.
  5. Edge Intelligent Perception Agents for Smart City Field Application.
    Zhongpan Zhu, Hanlin Yang, Qiwei Du, Zhipeng Wang, Dekang Zhu, Viswanath Goud Bellam, Fenggui Chang, Gang Li.
    2022 2nd International Conference on Computer, Control and Robotics (ICCCR), pp. 167–171, 2022.

Motto

Be a heavy sword with no blades.
Cleave the unknown with no tricks.