Yang Yang Ph.D. Candidate Email: yang5276 [at] umn.edu

About me {Resume, CV}

I am a Research Scientist at Meta AI. I obtained my Ph.D. in Computer Science from the University of Minnesota (UMN), advised by Prof. Changhyun Choi. My Ph.D. research is in the areas of Robotics and Machine Learning.

Publications {Google Scholar}

• 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][Website][Video]

• 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 and Systems (IROS), 2023
  [PDF][Website][Video]

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

• Breaking the Curse of Quality Saturation with User-Centric Ranking
  Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023 (Accepted)
  [PDF]

• Interactive Robotic Grasping with Attribute-Guided Disambiguation
  Yang Yang, Xibai Lou, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2022
  [PDF][Website][Video][Poster] [Outstanding Student Paper]

• Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter
  Xibai Lou, Yang Yang, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2022
  [PDF][Website][Video]

• Attribute-Based Robotic Grasping with One-Grasp Adaptation
  Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2021
  [PDF][Website][Video]

• Collision-Aware Target-Driven Object Grasping in Constrained Environments
  Xibai Lou, Yang Yang, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2021
  [PDF][Video]

• Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures
  Hengyue Liang, Xibai Lou, Yang Yang, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2021
  [PDF][Website][Video]

• A Deep Learning Approach to Grasping the Invisible
  Yang Yang, Hengyue Liang, Changhyun Choi
  IEEE Robotics and Automation Letters (RA-L), 2020
  [PDF][Website][Code][Video]

• Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
  Xibai Lou, Yang Yang, Changhyun Choi
  IEEE International Conference on Robotics and Automation (ICRA), 2020
  [PDF][Website][Video]

• Attitude Tracking from a Camera and an Accelerometer on Gyro-less Devices
  Tien Do, Leo Neira, Yang Yang, Stergios I. Roumeliotis
  International Symposium on Robotics Research (ISRR), 2019
  [PDF]

Professional Experience

• Meta AI, USA | March 2022 - present
  Research Scientist (Machine Learning)

• Mitsubishi Electric Research Laboratories (MERL), USA | 2020 (May - Aug.)
  Research Intern (Computer Vision)

• Google, USA | 2018 (Jul. - Aug.)
  Visual-Inertial System Engineer

Professional Services

Conference Reviewer:

AAAI Conference on Artificial Intelligence (AAAI)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Journal Reviewer:

IEEE Robotics and Automation Letters (RA-L)

Honors & Awards

• Outstanding Student Paper Award, ICRA | 2022

• UMII-MnDRIVE Graduate Fellowship, UMN | 2021

• Departmental Fellowship, UMN | 2016

• National Scholarship (three consecutive times), Ministry of Education of P.R. China | 2012 - 2014

Teaching

• Teaching Assistant, Computer Vision, UMN | Fall 2020

• Teaching Assistant, Program Design and Development (C++), UMN | Spring 2018