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Jiayuan Gu

21 papers · 2018–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (98) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer

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