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Yang Yang
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About me
I am a Research Scientist at Meta. I obtained my Ph.D. in Computer Science from Choice Robotics Lab, University of Minnesota (UMN). My Ph.D. research is in the areas of Robotics and Machine Learning.
Publications {Google Scholar}
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
ACM Conference on Recommender Systems (RecSys), 2025
[PDF]A Parameter-Efficient Tuning Framework for Language-Guided Object Grounding and Robot Grasping
IEEE International Conference on Robotics and Automation (ICRA), 2025
[PDF]Attribute-Based Robotic Grasping with Data-Efficient Adaptation
IEEE Transactions on Robotics (T-RO), 2024
[PDF][Website][Video]Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[PDF][Website][Video]IOSG: Image-Driven Object Searching and Grasping
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[PDF][Website][Video]Breaking the Curse of Quality Saturation with User-Centric Ranking
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023 (Accepted)
[PDF]Interactive Robotic Grasping with Attribute-Guided Disambiguation
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
IEEE International Conference on Robotics and Automation (ICRA), 2022
[PDF][Website][Video]Attribute-Based Robotic Grasping with One-Grasp Adaptation
IEEE International Conference on Robotics and Automation (ICRA), 2021
[PDF][Website][Video]Collision-Aware Target-Driven Object Grasping in Constrained Environments
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
IEEE International Conference on Robotics and Automation (ICRA), 2021
[PDF][Website][Video]A Deep Learning Approach to Grasping the Invisible
IEEE Robotics and Automation Letters (RA-L), 2020
[PDF][Website][Code][Video]Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
IEEE International Conference on Robotics and Automation (ICRA), 2020
[PDF][Website][Video]Attitude Tracking from a Camera and an Accelerometer on Gyro-less Devices
International Symposium on Robotics Research (ISRR), 2019
[PDF]
Professional Experience
Meta, 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)
IEEE Transactions on Automation Science and Engineering (T-ASE)
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