Tianyu Ding
23 papers · 2019–2026 · 8 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.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(119)
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(13)
Artificial Intelligence
(10)
Core AI
(10)
Optimization & Theory Β· Machine Learning
(8)
Computer Vision
(6)
Learning Types
(6)
Application Areas
(5)
Architectures
(5)
Core Methods
(5)
Mathematics & Optimization
(4)
Models
(4)
Optimization
(4)
Optimization & Theory Β· Deep Learning
(4)
Processing
(4)
Keywords
dual principal component pursuit
(3)
model compression
(3)
diffusion model
(3)
non-convex optimization
(3)
structured pruning
(3)
model pruning
(2)
riemannian optimization
(2)
simplex equiangular tight frame
(2)
imperfect information game
(2)
outlier detection
(2)
subspace learning
(2)
neural network
(2)
neural network compression
(2)
neural collapse
(2)
riemannian subgradient
(2)
frame interpolation
(2)
principal component analysis
(1)
image restoration
(1)
transfer learning
(1)
domain generalization
(1)
Papers
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
AAAI 2026
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
CVPR 2025
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning
ACL 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
CVPR 2025
OFER: Occluded Face Expression Reconstruction
CVPR 2025
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
AAAI 2025
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
ECCV 2024
DREAM: Diffusion Rectification and Estimation-Adaptive Models
CVPR 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
CVPR 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
Safe and Robust Subgame Exploitation in Imperfect Information Games
ICML 2024
Efficient Subgame Refinement for Extensive-form Games
NeurIPS 2023
OTOv2: Automatic, Generic, User-Friendly
ICLR 2023
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution
CVPR 2022
A Geometric Analysis of Neural Collapse with Unconstrained Features
NeurIPS 2021
CDFI: Compression-Driven Network Design for Frame Interpolation
CVPR 2021
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
AISTATS 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
ICML 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
NeurIPS 2021
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NeurIPS 2019
Noisy Dual Principal Component Pursuit
ICML 2019