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Yang Yang
st2yang [at] gmail.com |
About me
I am a Research Scientist at Meta. I received my Ph.D. in Computer Science from the University of Minnesota, with a research focus on robotics and machine learning. My current interests include LLMs, AI agents, especially their applications in recommender systems.
Publications {Google Scholar}
LLMs & AI Agents
STARK: Strategic Team of Agents for Refining Kernels [PDF]
Under Review (2025)
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering [PDF]
Under Review (2025)
GraphQ-LM: Scalable Graph Representation for Large Language Models via Residual Vector Quantization [PDF]
Under Review (2025)
Recommender Systems
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID [PDF]
ACM Conference on Recommender Systems (RecSys), 2025
Breaking the Curse of Quality Saturation with User-Centric Ranking [PDF]
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
Robotics / Robot Learning
A Parameter-Efficient Tuning Framework for Language-Guided Object Grounding and Robot Grasping [PDF]
IEEE International Conference on Robotics and Automation (ICRA), 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation [PDF] [Website] [Video]
IEEE Transactions on Robotics (T-RO), 2024
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks [PDF] [Website] [Video]
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
IOSG: Image-Driven Object Searching and Grasping [PDF] [Website] [Video]
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Interactive Robotic Grasping with Attribute-Guided Disambiguation [PDF] [Website] [Video] [Poster] [Outstanding Student Paper]
IEEE International Conference on Robotics and Automation (ICRA), 2022
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter [PDF] [Website] [Video]
IEEE International Conference on Robotics and Automation (ICRA), 2022
Attribute-Based Robotic Grasping with One-Grasp Adaptation [PDF] [Website] [Video]
IEEE International Conference on Robotics and Automation (ICRA), 2021
Collision-Aware Target-Driven Object Grasping in Constrained Environments [PDF] [Video]
IEEE International Conference on Robotics and Automation (ICRA), 2021
Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures [PDF] [Website] [Video]
IEEE International Conference on Robotics and Automation (ICRA), 2021
A Deep Learning Approach to Grasping the Invisible [PDF] [Website] [Code] [Video]
IEEE Robotics and Automation Letters (RA-L), 2020
Learning to Generate 6-DoF Grasp Poses with Reachability Awareness [PDF] [Website] [Video]
IEEE International Conference on Robotics and Automation (ICRA), 2020
Attitude Tracking from a Camera and an Accelerometer on Gyro-less Devices [PDF]
International Symposium on Robotics Research (ISRR), 2019
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