Tianyu Ding, Ph.D.
Johns Hopkins University
H-index: 10
North America-United States
Top articles of Tianyu Ding, Ph.D.
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
International Conference on Learning Representations (ICLR)
2024/1
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation
arXiv preprint arXiv:2404.08292
2024/4/12
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing
arXiv preprint arXiv:2404.08111
2024/4/11
ONNXPruner: ONNX-Based General Model Pruning Adapter
arXiv preprint arXiv:2404.08016
2024/4/10
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
arXiv preprint arXiv:2404.00563
2024/3/31
DREAM: Diffusion Rectification and Estimation-Adaptive Models
2024/3
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
arXiv preprint arXiv:2312.09411
2023/12/15
The efficiency spectrum of large language models: An algorithmic survey
2023/12/1
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
arXiv preprint arXiv:2311.15510
2023/11/27
Efficient Subgame Refinement for Extensive-form Games
Advances in Neural Information Processing Systems (NeurIPS)
2023/11/2
Lorashear: Efficient large language model structured pruning and knowledge recovery
arXiv preprint arXiv:2310.18356
2023/10/24
Unified Space-Time Interpolation of Video Information
2023/8/17
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs
Proceedings of the 31st ACM International Conference on Multimedia (ACMMM)
2023/8/5
Towards automatic neural architecture search within general super-networks
arXiv preprint arXiv:2305.18030
2023/5/25
OTOv2: Automatic, Generic, User-Friendly
2023
Video Frame Interpolation Via Feature Pyramid Flows
2022/12/15
Sparsity-guided Network Design for Frame Interpolation
arXiv preprint arXiv:2209.04551
2022/9/9
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
International Conference on Machine Learning (ICML)
2022/3/2
Rstt: Real-time spatial temporal transformer for space-time video super-resolution
2022
Only train once: A one-shot neural network training and pruning framework
Advances in Neural Information Processing Systems
2021/12/6
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