Jiayuan Gu
21 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
ποΈ
Keyword Collector
(98)
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Trend Setter
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Keywords
point cloud
(3)
reinforcement learning
(2)
diffusion policy
(2)
3d scene generation
(2)
imitation learning
(2)
diffusion model
(2)
zero-shot learning
(2)
graph neural network
(2)
self-supervised learning
(1)
point cloud registration
(1)
policy evaluation
(1)
object detection
(1)
graph classification
(1)
knowledge distillation
(1)
transfer learning
(1)
semantic segmentation
(1)
information extraction
(1)
domain generalization
(1)
trajectory prediction
(1)
document-level extraction
(1)
Papers
ArtLLM: Generating Articulated Assets via 3D LLM
CVPR 2026
PARSE: Part-Aware Relational Spatial Modeling
CVPR 2026
REACH: Explicit Recovery Behavior for Diffusion Policies
CVPR 2026
SPREAD: Spatial-Physical REasoning via geometry Aware Diffusion
CVPR 2026
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
CVPR 2025
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
ICLR 2025
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models
RSS 2025
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-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CoRL 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
Deep Feedback Inverse Problem Solver
ECCV 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
NeurIPS 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
NeurIPS 2020
Weakly-supervised 3D Shape Completion in the Wild
ECCV 2020
Learning Region Features for Object Detection
ECCV 2018
Relation Networks for Object Detection
CVPR 2018
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
NeurIPS 2018