Tianyu Ding

Principal Researcher

Publications

Afficher par:

- Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria
  
  Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao
  
  NeurIPS 2025 | November 2025
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
  
  Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang, Luming Liang
  
  2024 European Conference on Computer Vision | October 2024
  
  Publication
- Safe and Robust Subgame Exploitation in Imperfect Information Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
  
  ICML 2024 | June 2024
  
  Publication
- DREAM: Diffusion Rectification and Estimation-Adaptive Models
  
  Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
  
  2024 Computer Vision and Pattern Recognition | March 2024
  
  DOI Publication Publication
- 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
  
  CVPR 2024 | March 2024
  
  DOI Publication Publication
- InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
  
  Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
  
  ICLR 2024 | January 2024
  
  Publication
- Efficient Subgame Refinement for Extensive-form Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
  
  NeurIPS 2023 | September 2023
  
  Publication

- Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria
  
  Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao
  
  NeurIPS 2025 | November 2025
  
  Publication
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Safe and Robust Subgame Exploitation in Imperfect Information Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
  
  ICML 2024 | June 2024
  
  Publication
- InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
  
  Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
  
  ICLR 2024 | January 2024
  
  Publication
- Efficient Subgame Refinement for Extensive-form Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
  
  NeurIPS 2023 | September 2023
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
  
  Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang, Luming Liang
  
  2024 European Conference on Computer Vision | October 2024
  
  Publication
- 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
  
  CVPR 2024 | March 2024
  
  DOI Publication Publication
- DREAM: Diffusion Rectification and Estimation-Adaptive Models
  
  Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
  
  2024 Computer Vision and Pattern Recognition | March 2024
  
  DOI Publication Publication
- InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
  
  Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
  
  ICLR 2024 | January 2024
  
  Publication

- Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria
  
  Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao
  
  NeurIPS 2025 | November 2025
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
  
  Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang, Luming Liang
  
  2024 European Conference on Computer Vision | October 2024
  
  Publication
- Safe and Robust Subgame Exploitation in Imperfect Information Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
  
  ICML 2024 | June 2024
  
  Publication
- 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
  
  CVPR 2024 | March 2024
  
  DOI Publication Publication
- DREAM: Diffusion Rectification and Estimation-Adaptive Models
  
  Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
  
  2024 Computer Vision and Pattern Recognition | March 2024
  
  DOI Publication Publication
- InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
  
  Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
  
  ICLR 2024 | January 2024
  
  Publication
- Efficient Subgame Refinement for Extensive-form Games
  
  Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
  
  NeurIPS 2023 | September 2023
  
  Publication

Tianyu Ding

Publications

Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria

Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering

Safe and Robust Subgame Exploitation in Imperfect Information Games

DREAM: Diffusion Rectification and Estimation-Adaptive Models

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

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules

Efficient Subgame Refinement for Extensive-form Games

Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Safe and Robust Subgame Exploitation in Imperfect Information Games

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules

Efficient Subgame Refinement for Extensive-form Games

Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms

CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering

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

DREAM: Diffusion Rectification and Estimation-Adaptive Models

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules

Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria

Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering

Safe and Robust Subgame Exploitation in Imperfect Information Games

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

DREAM: Diffusion Rectification and Estimation-Adaptive Models

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules

Efficient Subgame Refinement for Extensive-form Games

Contact Tianyu Ding

Applied Sciences Lab