Yang Yang
Scholar

Yang Yang

Google Scholar ID: xeR2744AAAAJ
Research Scientist, Meta
Machine LearningRobotics
Citations & Impact
All-time
Citations
412
 
H-index
9
 
i10-index
8
 
Publications
15
 
Co-authors
4
list available
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications:
  • - STARK: Strategic Team of Agents for Refining Kernels
  • - Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID (RecSys 2025)
  • - A Parameter-Efficient Tuning Framework for Language-Guided Object Grounding and Robot Grasping (ICRA 2025)
  • - Attribute-Based Robotic Grasping with Data-Efficient Adaptation (T-RO 2024)
  • - Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks (IROS 2023)
  • - IOSG: Image-Driven Object Searching and Grasping (IROS 2023)
  • - Breaking the Curse of Quality Saturation with User-Centric Ranking (KDD 2023)
  • - Interactive Robotic Grasping with Attribute-Guided Disambiguation (ICRA 2022)
  • - Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter (ICRA 2022)
  • - Attribute-Based Robotic Grasping with One-Grasp Adaptation (ICRA 2021)
  • - Collision-Aware Target-Driven Object Grasping in Constrained Environments (ICRA 2021)
  • - Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures (ICRA 2021)
  • - A Deep Learning Approach to Grasping the Invisible (RA-L 2020)
  • - Learning to Generate 6-DoF Grasp Poses with Reachability Awareness (ICRA 2020)
  • - Attitude Tracking from a Camera and an Accelerometer on Gyro-less Devices (ISRR 2019)
  • 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
Research Experience
  • Meta, USA | March 2022 - present - Research Scientist (Machine Learning)
  • Mitsubishi Electric Research Laboratories (MERL), USA | May 2020 - Aug 2020 - Research Intern (Computer Vision)
  • Google, USA | Jul 2018 - Aug 2018 - Visual-Inertial System Engineer
Education
  • Ph.D. - Computer Science, University of Minnesota (UMN), Advisor unknown, Time unknown
Background
  • Currently a Research Scientist at Meta. Obtained a Ph.D. in Computer Science from Choice Robotics Lab, University of Minnesota (UMN). Research areas include Robotics and Machine Learning.
Miscellany
  • Conference Reviewer: AAAI, ICRA, IROS
  • Journal Reviewer: IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering
  • Teaching Experience:
  • - Teaching Assistant, Computer Vision, UMN | Fall 2020
  • - Teaching Assistant, Program Design and Development (C++), UMN | Spring 2018