Weiqi Zhang
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird ποΈ Keyword Collector (53)
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(7)
Computer Vision
(6)
Machine Learning
(5)
Artificial Intelligence
(4)
Generation
(4)
Models
(4)
Analysis
(3)
Core AI
(3)
Processing
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
diffusion model
(3)
point cloud
(2)
medical time series
(2)
surface reconstruction
(2)
gaussian splatting
(2)
signed distance function
(2)
3d vision
(1)
image inpainting
(1)
prototype learning
(1)
visual representation
(1)
multimodal learning
(1)
wavelet transform
(1)
multivariate time series
(1)
dynamic scene
(1)
variational autoencoder
(1)
conditional generation
(1)
language model
(1)
3d shape generation
(1)
3d generation
(1)
few-shot learning
(1)
Papers
GaussianGrow: Geometry-aware Gaussian Growing from 3D Point Clouds with Text Guidance
CVPR 2026
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification
AAAI 2026
MoRe: Motion-aware Feed-forward 4D Reconstruction Transformer
CVPR 2026
GAP: Gaussianize Any Point Clouds with Text Guidance
ICCV 2025
Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation
CVPR 2025
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
IJCAI 2025
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes
AAAI 2025
DiffGS: Functional Gaussian Splatting Diffusion
NeurIPS 2024
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
NeurIPS 2024
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
CVPR 2024
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
IJCAI 2022