Jiayuan Gu
17 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (21)
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(21)
π
Trend Setter
π
Century Club
(17)
π
Conference Pioneer
ποΈ
Keyword Collector
(51)
Conferences
ICLR (4)
CVPR (3)
ECCV (3)
NIPS (3)
CORL (2)
ACL (1)
RSS (1)
Top co-authors
Keywords
graph neural network
(2)
reinforcement learning
(1)
diffusion policy
(1)
transfer learning
(1)
graph classification
(1)
point cloud registration
(1)
object detection
(1)
self-supervised learning
(1)
relation extraction
(1)
document-level extraction
(1)
information extraction
(1)
message passing
(1)
diffusion model
(1)
spatial representation
(1)
robotic manipulation
(1)
vision-language-action model
(1)
multi-view generation
(1)
neural network initialization
(1)
convolutional layer
(1)
3d reconstruction
(1)
Papers
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models
RSS 2025
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
CVPR 2025
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
ICLR 2025
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CORL 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CORL 2024
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
CVPR 2024
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
ICLR 2023
Multi-skill Mobile Manipulation for Object Rearrangement
ICLR 2023
Automatic Error Analysis for Document-level Information Extraction
ACL 2022
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
NIPS 2020
Deep Feedback Inverse Problem Solver
ECCV 2020
Weakly-supervised 3D Shape Completion in the Wild
ECCV 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
NIPS 2020
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
NIPS 2018
Relation Networks for Object Detection
CVPR 2018
Learning Region Features for Object Detection
ECCV 2018