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ORCIDTianyu Ding
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2020 – today
- 2024
[c20]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR 2024- [c19]Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao:
Safe and Robust Subgame Exploitation in Imperfect Information Games. ICML 2024 - [i24]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 abs/2404.00563 (2024) - [i23]Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao:
ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR abs/2404.08016 (2024) - [i22]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 abs/2404.08111 (2024) - [i21]Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang:
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR abs/2404.08292 (2024) - [i20]Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang:
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration. CoRR abs/2407.01425 (2024) - [i19]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 abs/2407.17418 (2024) - 2023
- [j2]Ming He, Jiwen Wang, Tianyu Ding, Tong Shen:
Conversation and recommendation: knowledge-enhanced personalized dialog system. Knowl. Inf. Syst. 65(1): 261-279 (2023) - [c18]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOv2: Automatic, Generic, User-Friendly. ICLR 2023 - [c17]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: 2180-2188 - [c16]Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao:
Efficient Subgame Refinement for Extensive-form Games. NeurIPS 2023 - [i18]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOV2: Automatic, Generic, User-Friendly. CoRR abs/2303.06862 (2023) - [i17]Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov:
Towards Automatic Neural Architecture Search within General Super-Networks. CoRR abs/2305.18030 (2023) - [i16]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 abs/2308.02908 (2023) - [i15]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. CoRR abs/2308.13897 (2023) - [i14]Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang:
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. CoRR abs/2310.18356 (2023) - [i13]Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang:
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering. CoRR abs/2311.15510 (2023) - [i12]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR abs/2312.00210 (2023) - [i11]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 abs/2312.00678 (2023) - [i10]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 abs/2312.09411 (2023) - 2022
- [c15]Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov:
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CVPR 2022: 17420-17430 - [c14]Ming He, Tianshuo Han, Tianyu Ding:
Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. DASFAA (3) 2022: 401-412 - [c13]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: 27179-27202 - [c12]Ming He, Tianshuo Han, Tianyu Ding:
Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. ICWE 2022: 31-46 - [i9]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 abs/2203.01238 (2022) - [i8]Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov:
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CoRR abs/2203.14186 (2022) - [i7]Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov:
Sparsity-guided Network Design for Frame Interpolation. CoRR abs/2209.04551 (2022) - 2021
- [c11]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: 2944-2952 - [c10]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR 2021: 8001-8011 - [c9]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: 2739-2748 - [c8]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: 19637-19651 - [c7]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: 29820-29834 - [c6]Ming He, Tianyu Ding, Tianshuo Han:
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. PAKDD (2) 2021: 67-78 - [i6]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR abs/2103.10559 (2021) - [i5]Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu:
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR abs/2105.02375 (2021) - [i4]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 abs/2107.07467 (2021) - 2020
- [c5]Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization. ECML/PKDD (3) 2020: 57-73 - [i3]Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for 𝓁1-Regularized Optimization. CoRR abs/2004.03639 (2020) - [i2]Shailesh Nirgudkar, Tianyu Ding:
Early Detection of Sepsis using Ensemblers. CoRR abs/2010.09938 (2020) - [i1]Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu:
Neural Network Compression Via Sparse Optimization. CoRR abs/2011.04868 (2020)
2010 – 2019
- 2019
- [c4]Shailesh Nirgudkar, Tianyu Ding:
Early Detection of Sepsis Using Ensemblers. CinC 2019: 1-4 - [c3]Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
Noisy Dual Principal Component Pursuit. ICML 2019: 1617-1625 - [c2]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: 9437-9447 - 2017
- [j1]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): 2575-2584 (2017) - 2012
- [c1]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: 1-7
Coauthor Index
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last updated on 2024-09-04 00:29 CEST by the dblp team
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