Tianyu Ding
23 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Conferences
CVPR (7)
ICML (5)
NIPS (4)
AAAI (2)
ICLR (2)
ACL (1)
AISTATS (1)
ECCV (1)
Top co-authors
Keywords
dual principal component pursuit
(3)
diffusion model
(3)
non-convex optimization
(3)
model compression
(2)
riemannian optimization
(2)
model pruning
(2)
neural network
(2)
neural collapse
(2)
riemannian subgradient
(2)
outlier detection
(2)
structured pruning
(2)
simplex equiangular tight frame
(2)
neural network compression
(2)
subspace learning
(2)
frame interpolation
(2)
principal component analysis
(1)
image restoration
(1)
transfer learning
(1)
dimensionality reduction
(1)
3d vision
(1)
Papers
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
AAAI 2026
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
CVPR 2025
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
AAAI 2025
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning
ACL 2025
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
CVPR 2025
OFER: Occluded Face Expression Reconstruction
CVPR 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
Safe and Robust Subgame Exploitation in Imperfect Information Games
ICML 2024
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
ECCV 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
CVPR 2024
DREAM: Diffusion Rectification and Estimation-Adaptive Models
CVPR 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
OTOv2: Automatic, Generic, User-Friendly
ICLR 2023
Efficient Subgame Refinement for Extensive-form Games
NIPS 2023
RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution
CVPR 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
AISTATS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
NIPS 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
NIPS 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
ICML 2021
CDFI: Compression-Driven Network Design for Frame Interpolation
CVPR 2021
Noisy Dual Principal Component Pursuit
ICML 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NIPS 2019