Ying He
Professor
Works on computer graphics, geometric modeling and processing, and computer-aided design.
Ying He's lab at NTU works on geometry processing & modeling, rendering & appearance and data management & big data. 77 papers since 2023, 54 at top venues, mostly TVCG and AAAI.
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 70%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 26 papers2026 · T1 21 · collecting
- 26 papers2025 · T1 16
- 12 papers2024 · T1 9
- 13 papers2023 · T1 8
T1 venuesOtherVenues: TVCG, AAAI, TOG, CVPR, ECCV
Research focuspaper titles that use each topic's words
- Geometry processing & modeling9 papers
- Rendering & appearance7 papers
- Data management & big data2 papers
- computer-aided0 papers
- geometric modeling0 papers
Paper list
From the lab homepage.
202626 papers
- AAAI (T1)AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering
- ECCV (T1)Denoising-GS: Gaussian Splatting with Spatial-aware Denoising
- TVCGDeterministic Point Cloud Diffusion for Denoising
- ECCV (T1)Direct Autoregressive Diffusion Distillation via Error-aware Causal Pretraining
- TOG (T1)Dual Contouring over Expanded Cubes (DCx) for Zero-Level Set Extraction from Neural Unsigned Distance Functions
- TIP (T1)Enhanced Geometry and Semantics for Camera-based 3D Semantic Scene Completion
- TPAMI (T1)FlexPara: Flexible Neural Surface Parameterization
- ICML (T1)Focusing: View-Consistent Sparse Voxels for Efficient 3D VAEs
- ICML (T1)From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
- SIGGRAPH Asia (T1)Generative 3D Surface Cutting: Topology-aware Flow Matching on Edge Probabilities
- IJCV (T1)Generative Diffusion Prior for Unified Image and Video Restoration & Enhancement
- TVCGGeometry-Semantics Co-Regularization for Gaussian Splatting in Indoor Reconstruction
202526 papers
- TVCG3D Gaussian Splatting as New Era: A Survey
- AAAI (T1)3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering
- TOG (T1)A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds with 0-1 Integer Optimization
- CVPR (T1)A Lightweight UDF Learning Framework for 3D Reconstruction based on Local Shape Functions
- TVCGComputing Smooth and Integrable Cross Fields via Iterative Singularity Adjustment
- TNNLS (T1)Curriculumformer: Taming Curriculum Pre-Training for Enhanced 3D Point Cloud Understanding
- TVCGD-FRAME: Direction-Field-Based Wireframe Extraction for Complex CAD Models
- TVCGDCUDF2: Improving Efficiency and Accuracy in Extracting Zero Level Sets from Unsigned Distance Fields
- TVCGDesign and Optimization of Self-Supporting Surfaces with Arch Beams
- AAAI (T1)Details Enhancement in Unsigned Distance Field Learning for High-Fidelity 3D Surface Reconstruction
- TOG (T1)Diffusing Winding Gradients (DWG): A Parallel and Scalable Method for 3D Reconstruction from Unoriented Point Clouds
- AAAI (T1)DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer
202412 papers
- CVPR (T1)A Novel Two-Stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-View Images
- TVCGA Parametric Design Method for Engraving Patterns on Thin Shells
- SIGGRAPH (T1)Consistent Point Orientation for Manifold Surfaces via Boundary Integration
- CVPR (T1)Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network
- NeurIPS (T1)Flatten Anything: Unsupervised Neural Surface Parameterization
- NeurIPS (T1)From Transparent to Opaque: Rethinking Neural Implicit Surfaces with α-NeuS
- ECCV (T1)Large Motion Model for Unified Multi-Modal Motion Generation
- AAAI (T1)O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-Trained 2D Diffusion Model
- ECCV (T1)Parameterization-Driven Neural Surface Reconstruction for Object-Oriented Editing in Neural Rendering
- TVCGPCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
- TCSVTPoint Cloud Completion via Self-Projected View Augmentation and Implicit Field Constraint
- USENIX Security (T1)π-Jack: Physical-World Adversarial Attack on Monocular Depth Estimation with Perspective Hijacking
202313 papers
- TVCGA Variational Framework for Curve Shortening in Various Geometric Domains
- ICCV (T1)Deformable Model Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings
- TPAMI (T1)Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
- ICCV (T1)GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-Guided Distance Representation
- CVPR (T1)IterativePFN: True Iterative Point Cloud Filtering
- TOG (T1)Masonry Shell Structures with Discrete Equivalence Classes
- NeurIPS (T1)NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
- CVPR (T1)OPE-SR: Orthogonal Position Encoding for Designing a Parameter-Free Upsampling Module in Arbitrary-scale Image Super-Resolution
- TVCGPU-Flow: A Point Cloud Upsampling Network with Normalizing Flows
- TOG (T1)Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering
- TVCGSTD-Net: Structure-Preserving and Topology-Adaptive Deformation Network for Single-View 3D Reconstruction
- TCSVTTask-Oriented Compact Representation of 3D Point Clouds via a Matrix Optimization-Driven Network
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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