Tianyu Ding

Orcid: 0000-0001-8445-4330

According to our database1, Tianyu Ding authored at least 42 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning.
CoRR, 2024

VERA: Validation and Evaluation of Retrieval-Augmented Systems.
CoRR, 2024

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach.
CoRR, 2024

3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.
CoRR, 2024

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.
CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.
CoRR, 2024

S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing.
CoRR, 2024

ONNXPruner: ONNX-Based General Model Pruning Adapter.
CoRR, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.
CoRR, 2024

Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Safe and Robust Subgame Exploitation in Imperfect Information Games.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering.
Proceedings of the Computer Vision - ECCV 2024, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Conversation and recommendation: knowledge-enhanced personalized dialog system.
Knowl. Inf. Syst., January, 2023

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators.
CoRR, 2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.
CoRR, 2023

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery.
CoRR, 2023

Towards Automatic Neural Architecture Search within General Super-Networks.
CoRR, 2023

Efficient Subgame Refinement for Extensive-form Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

OTOv2: Automatic, Generic, User-Friendly.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Sparsity-guided Network Design for Frame Interpolation.
CoRR, 2022

Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks.
Proceedings of the Web Engineering - 22nd International Conference, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.
Proceedings of the International Conference on Machine Learning, 2022

Learning and Fusing Multiple User Interest Representations for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Geometric Analysis of Neural Collapse with Unconstrained Features.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Only Train Once: A One-Shot Neural Network Training And Pruning Framework.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021

CDFI: Compression-Driven Network Design for Frame Interpolation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Neural Network Compression Via Sparse Optimization.
CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for 𝓁<sub>1</sub>-Regularized Optimization.
CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for ℓ <sub>1</sub>-Regularized Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Noisy Dual Principal Component Pursuit.
Proceedings of the 36th International Conference on Machine Learning, 2019

Early Detection of Sepsis Using Ensemblers.
Proceedings of the 46th Computing in Cardiology, 2019

2017
An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System.
IEEE Trans. Smart Grid, 2017

2012
A new framework of probabilistic production simulation of power systems with wind energy resources.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012


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