Houjian Yu

Ph.D. Candidate, Department of Electrical and Computer Engineering, University of Minnesota - Twin Cities, Email: yu000487@umn.edu [CV] [Google Scholar] [LinkedIn]

About me

I am a 4-th year Ph.D. Candidate in Computer Engineering from University of Minnesota (UMN), advised by Prof. Changhyun Choi. Before joining UMN, I received my Master's Degree in Electrical and Computer Engineering (Machine Learning and Data Science Track) from University of California San Diego (UCSD), USA, and a Bachelor's Degree from North China Electric Power University, China.

Research Interests: Robot Manipulation, Machine Learning

Publications

• Attribute-Based Robotic Grasping with Data-Efficient Adaptation
  Yang Yang* Houjian Yu*, Xibai Lou, Yuanhao Liu, Changhyun Choi
  IEEE Transactions on Robotics (T-RO), 2024.
  [PDF] [project page]

• IOSG: Image-driven Object Searching and Grasping
  Houjian Yu, Xibai Lou, Yang Yang, Changhyun Choi
  IEEE/RSJ International Conference on Intelligent Robots (IROS), 2023.
  [PDF] [project page]

• Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
  Xibai Lou, Houjian Yu, Ross Worobel, Yang Yang, Changhyun Choi
  IEEE/RSJ International Conference on Intelligent Robots (IROS), 2023.
  [PDF][project page]

• Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
  Houjian Yu, Changhyun Choi
  European Conference on Computer Vision (ECCV), 2022.
  [PDF] [project page] [Poster]

• Dependable Content Distribution in D2D-Based Cooperative Vehicular Networks: A Big Data-Integrated Coalition Game Approach
  Zhenyu Zhou, Houjian Yu, Chen Xu, Yan Zhang, Shahid Mumtaz and Jonathan Rodriguez
  IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2018.
  [PDF]

• BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing
  Zhenyu Zhou, Houjian Yu, Chen Xu, Zheng Chang, Shahid Mumtaz and Jonathan Rodriguez
  IEEE Communications Magazine, 2018.
  [PDF]

Professional Experience

• Research Assistant, UMN
  

  • Advised by Prof. Changhyun Choi
    
  • Proposed a robot-assisted interactive segmentation pipeline to segment novel objects
    

  • Developed a target-aware object searching and grasping system via a DQN reinforcement learning method
    

• Teaching Assistant, EE1301 Intro to Computing Systems (C++) | Fall 2021 | Spring 2022 | Spring 2023
  

• Teaching Assistant, EE2361 Intro to Microcontrollers | Spring 2024