Chenyang Zhu
20 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(13)
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Topic Evolution
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Deep Specialist
(10)
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(109)
Top co-authors
Research topics
Computer Vision
(13)
Deep Learning
(13)
Analysis
(11)
Machine Learning
(8)
Artificial Intelligence
(7)
Learning Types Β· Deep Learning
(7)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Models
(4)
Architectures
(3)
Computer Science
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Keywords
point cloud
(4)
diffusion model
(3)
differentiable rendering
(3)
3d reconstruction
(2)
weakly supervised learning
(2)
shape segmentation
(2)
self-supervised learning
(2)
text-to-image generation
(2)
hierarchical planning
(1)
multimodal learning
(1)
vision transformer
(1)
contextual information
(1)
medical imaging
(1)
adaptive learning
(1)
semantic segmentation
(1)
computer graphics
(1)
image editing
(1)
monocular depth estimation
(1)
gaussian splatting
(1)
uncertainty quantification
(1)
Papers
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
EACL 2026
RAFFLES: Reasoning-based Attribution of Faults for LLM Systems
EACL 2026
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
EMNLP 2025
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
ICCV 2025
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
ICLR 2025
MultiBooth: Towards Generating All Your Concepts in an Image from Text
AAAI 2025
OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
CVPR 2025
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
ICCV 2025
VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis
CVPR 2025
Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning
AAAI 2024
2D3D-MATR: 2D-3D Matching Transformer for Detection-Free Registration Between Images and Point Clouds
ICCV 2023
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition
AAAI 2023
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images
CVPR 2023
Weakly-Supervised Single-View Image Relighting
CVPR 2023
DisARM: Displacement Aware Relation Module for 3D Detection
CVPR 2022
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
AAAI 2021
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
CVPR 2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
CVPR 2020
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
CVPR 2019
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction
ECCV 2018