Tianyu Ding

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Frame Interpolation

Dictionary Learning

Top Venues

Publications

Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR (2024)
Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. CoRR (2024)
Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR (2024)
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR (2024)
Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration. CoRR (2024)
Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing. CoRR (2024)
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR (2024)
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. CoRR (2023)
Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. CoRR (2023)
Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR (2023)
Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. CoRR (2023)
Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
OTOV2: Automatic, Generic, User-Friendly. CoRR (2023)
Ming He, Jiwen Wang, Tianyu Ding, Tong Shen
Conversation and recommendation: knowledge-enhanced personalized dialog system. Knowl. Inf. Syst. 65 (1) (2023)
Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
OTOv2: Automatic, Generic, User-Friendly. ICLR (2023)
Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR (2023)
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia (2023)
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. CoRR (2023)
Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov
Towards Automatic Neural Architecture Search within General Super-Networks. CoRR (2023)
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
Efficient Subgame Refinement for Extensive-form Games. NeurIPS (2023)
Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering. CoRR (2023)
Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CVPR (2022)
Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov
Sparsity-guided Network Design for Frame Interpolation. CoRR (2022)
Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR (2022)
Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML (2022)
Ming He, Tianshuo Han, Tianyu Ding
Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. ICWE (2022)
Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CoRR (2022)
Ming He, Tianshuo Han, Tianyu Ding
Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. DASFAA (3) (2022)
Ming He, Tianyu Ding, Tianshuo Han
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. PAKDD (2) (2021)
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR (2021)
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR (2021)
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS (2021)
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS (2021)
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR (2021)
Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS (2021)
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR (2021)
Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML (2021)
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
-Regularized Optimization. CoRR (2020)
Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu
Neural Network Compression Via Sparse Optimization. CoRR (2020)
Shailesh Nirgudkar, Tianyu Ding
Early Detection of Sepsis using Ensemblers. CoRR (2020)
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu
-Regularized Optimization. ECML/PKDD (3) (2020)
Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
Noisy Dual Principal Component Pursuit. ICML (2019)
Shailesh Nirgudkar, Tianyu Ding
Early Detection of Sepsis Using Ensemblers. CinC (2019)
Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS (2019)
Tianyu Ding, Hao Liang, Wilsun Xu
An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System. IEEE Trans. Smart Grid 8 (6) (2017)
Tianyu Ding, Zhaohong Bie, Can Sun, Xiuli Wang, Xifan Wang
A new framework of probabilistic production simulation of power systems with wind energy resources. ISGT Europe (2012)