I am a Ph.D. candidate in Computer Science in the Khoury College of Computer Sciences at Northeastern University. I am working in The Helping Hands Lab, advised by Professor Robert Platt and Professor Robin Walters. My research interests include Machine Learning and Robotics. Recently, my research has focused on applying equivariant machine learning methods to robotic manipulation to improve learning efficiency.
Prior to the Ph.D. program, I received my Master’s degree in Computer Science from Northeastern University and my Bachelor’s degree in Computer Science and Technology from Sichuan University, Chengdu, China.
Email: wang dot dian at northeastern dot edu
News
- 04/2023: I give a guest lecture, Equivariant Learning for Robotic Manipulation. The lecture summarizes our latest research, so be sure to check it out!
- 03/2023: We are organizing the Workshop on Symmetries in Robot Learning at RSS 2023. Call for contributions is now open.
- 02/2023: I will be joining the Boston Dynamic AI Institute as a summer intern.
- 01/2023: Our paper The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry is accepted at ICLR 2023 as a spotlight presentation.
- 01/2023: Two papers are accepted at ICRA 2023.
Publication
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Dian Wang, Xupeng Zhu, Jung Yeon Park, Robert Platt, Robin Walters
Preprint
On Robot Grasp Learning Using Equivariant Models
Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt
Autonomous Robots. 2023
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L.S. Wong, Robin Walters*, Robert Platt*
* Equal Advising
ICLR 2023, Kigali, Rwanda, Spotlight
SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia*, Dian Wang*, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
* Equal Contribution
ICRA 2023, London, UK
CoRL 2022 Workshop on Sim-to-Real Robot Learning
Edge Grasp Network: Graph-Based SE(3)-invariant Approach to Grasp Detection
Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt
ICRA 2023, London, UK
CoRL 2022 Workshop on Sim-to-Real Robot Learning
On-Robot Learning With Equivariant Models
Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
CoRL 2022, Auckland, New Zealand
Leveraging Fully Observable Policies for Learning under Partial Observability
Hai Huu Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
CoRL 2022, Auckland, New Zealand
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Dian Wang*, Colin Kohler*, Xupeng Zhu, Mingxi Jia, Robert Platt
* Equal Contribution
ISRR 2022, Geneva, Switzerland
Equivariant Transporter Network
Haojie Huang, Dian Wang, Robin Walters, Robert Platt
RSS 2022, New York City, New York, USA
RLDM 2022
ICRA 2022 Workshop on Scaling Robot Learning, Best Paper Award Finalist
Sample Efficient Grasp Learning Using Equivariant Models
Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt
RSS 2022, New York City, New York, USA
ICRA 2022 Workshop on Scaling Robot Learning, Spotlight
SO(2)-Equivariant Reinforcement Learning
Dian Wang, Robin Walters, Robert Platt
ICLR 2022, Virtual, Spotlight
RLDM 2022
ICRA 2022 Workshop on Scaling Robot Learning, Spotlight
Equivariant Q Learning in Spatial Action Spaces
Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt
CoRL 2021, London, UK
RSS 2022 Workshop on Scaling Robot Learning, Spotlight
Design Guidelines for Human-Robot Interaction with Assistive Robot Manipulation Systems
Alexander Wilkinson, Michael Gonzales, Patrick Hoey, David Kontak, Dian Wang, Noah Torname, Amelia Sinclaire, Zhao Han, Jordan Allspaw, Robert Platt, Holly Yanco
Paladyn, Journal of Behavioral Robotics. 2021
Action Priors for Large Action Spaces in Robotics
Ondrej Biza, Dian Wang, Robert Platt, Jan-Willem van de Meent, Lawson LS Wong
AAMAS 2021, London, UK
Policy learning in SE (3) action spaces
Dian Wang, Colin Kohler, Robert Platt
CoRL 2020, Boston, Massachusetts, USA
Towards Assistive Robotic Pick and Place in Open World Environments
Dian Wang, Colin Kohler, Andreas ten Pas, Alexander Wilkinson, Maozhi Liu, Holly Yanco, Robert Platt
ISRR 2019, Hanoi, Vietnam
Service
Organizer: RSS2023 Workshop on Symmetries in Robot Learning
Reviewer: ICRA2023, CoRL2022, RAL2022, T-RO2022, ICRA2022, IROS2021, ICRA2019
CV
Please see my CV here.
Education
- (2020-Present) PhD student, Computer Science, Northeastern University, Boston, USA
- (2017-2019) M.S, Computer Science, Northeastern University, Boston, USA
- (2013-2017) B.Eng, Computer Science & Technology, Sichuan University, Chengdu, China