Tianyu Ding

According to our database, Tianyu Ding authored at least 44 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OFER: Occluded Face Expression Reconstruction.

Pratheba Selvaraju, Victoria Fernández Abrevaya, Timo Bolkart, Rick Akkerman, Tianyu Ding, Faezeh Amjadi, Ilya Zharkov

CoRR, 2024

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

Tianyi Chen, Xiaoyi Qu, David Aponte, Colby R. Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang

CoRR, 2024

VERA: Validation and Evaluation of Retrieval-Augmented Systems.

Tianyu Ding, Adi Banerjee, Laurent Mombaerts, Yunhong Li, Tarik Borogovac, Juan Pablo De la Cruz Weinstein

CoRR, 2024

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

Jiwei Guan, Tianyu Ding, Longbing Cao, Lei Pan, Chen Wang, Xi Zheng

CoRR, 2024

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

Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo

CoRR, 2024

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.

Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang

CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.

Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2024

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

Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang

CoRR, 2024

ONNXPruner: ONNX-Based General Model Pruning Adapter.

Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao

CoRR, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.

Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao

CoRR, 2024

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling.

Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization.

Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Safe and Robust Subgame Exploitation in Imperfect Information Games.

Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.

Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering.

Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang

Proceedings of the Computer Vision - ECCV 2024, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.

Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.

Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Conversation and recommendation: knowledge-enhanced personalized dialog system.

Ming He, Jiwen Wang, Tianyu Ding, Tong Shen

Knowl. Inf. Syst., January, 2023

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

Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang

CoRR, 2023

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

Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2023

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

Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang

CoRR, 2023

Towards Automatic Neural Architecture Search within General Super-Networks.

Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov

CoRR, 2023

Efficient Subgame Refinement for Extensive-form Games.

Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao

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.

Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

OTOv2: Automatic, Generic, User-Friendly.

Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Sparsity-guided Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov

CoRR, 2022

Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks.

Ming He, Tianshuo Han, Tianyu Ding

Proceedings of the Web Engineering - 22nd International Conference, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.

Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

Proceedings of the International Conference on Machine Learning, 2022

Learning and Fusing Multiple User Interest Representations for Sequential Recommendation.

Ming He, Tianshuo Han, Tianyu Ding

Proceedings of the Database Systems for Advanced Applications, 2022

RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution.

Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov

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.

Ming He, Tianyu Ding, Tianshuo Han

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Geometric Analysis of Neural Collapse with Unconstrained Features.

Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

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.

Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

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.

Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson

Proceedings of the 38th International Conference on Machine Learning, 2021

CDFI: Compression-Driven Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

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.

Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Neural Network Compression Via Sparse Optimization.

Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu

CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for 𝓁₁-Regularized Optimization.

Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu

CoRR, 2020

Orthant Based Proximal Stochastic Gradient Method for ℓ ₁-Regularized Optimization.

Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu

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.

Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Noisy Dual Principal Component Pursuit.

Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal

Proceedings of the 36th International Conference on Machine Learning, 2019

Early Detection of Sepsis Using Ensemblers.

Shailesh Nirgudkar, Tianyu Ding

Proceedings of the 46th Computing in Cardiology, 2019

2017

An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System.

Tianyu Ding, Hao Liang, Wilsun Xu

IEEE Trans. Smart Grid, 2017

2012

A new framework of probabilistic production simulation of power systems with wind energy resources.

Tianyu Ding, Zhaohong Bie, Can Sun, Xiuli Wang, Xifan Wang

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012