Kaixin Wang

Senior Researcher

출판물

자료 보기:

- Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation
  
  Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sing Bing Kang, Kimin Lee, Minxian Xu, Bin Liang, Jun Yang, Li Zhao
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State
  
  Samuel Garcin, Tom Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
  
  ICML 2026 | June 2026
  
  Publication
- Reinforcing VLAs in Task-Agnostic World Models
  
  Yucen Wang, Rui Yu, Fengming Zhang, Junjie Lu, Xinyao Qin, Tianxiang Zhang, Kaixin Wang, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
  
  Sinjae Kang, Chanyoung Kim, Kaixin Wang, Li Zhao, Kimin Lee
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts
  
  Yuhua Jiang, Jingwen Lu, Xiaoting Qin, Xiaoyu Chen, Kaixin Wang, Feifei Gao, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- Co-Evolving Latent Action World Models
  
  Yucen Wang, Feng Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
  
  ICML 2026 | October 2025
  
  DOI Publication Publication
- villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
  
  Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
  
  ICLR 2026 | July 2025
  
  Publication
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication

- Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation
  
  Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sing Bing Kang, Kimin Lee, Minxian Xu, Bin Liang, Jun Yang, Li Zhao
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State
  
  Samuel Garcin, Tom Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
  
  ICML 2026 | June 2026
  
  Publication
- Reinforcing VLAs in Task-Agnostic World Models
  
  Yucen Wang, Rui Yu, Fengming Zhang, Junjie Lu, Xinyao Qin, Tianxiang Zhang, Kaixin Wang, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
  
  Sinjae Kang, Chanyoung Kim, Kaixin Wang, Li Zhao, Kimin Lee
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts
  
  Yuhua Jiang, Jingwen Lu, Xiaoting Qin, Xiaoyu Chen, Kaixin Wang, Feifei Gao, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- Co-Evolving Latent Action World Models
  
  Yucen Wang, Feng Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
  
  ICML 2026 | October 2025
  
  DOI Publication Publication
- villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
  
  Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
  
  ICLR 2026 | July 2025
  
  Publication
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation
  
  Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sing Bing Kang, Kimin Lee, Minxian Xu, Bin Liang, Jun Yang, Li Zhao
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts
  
  Yuhua Jiang, Jingwen Lu, Xiaoting Qin, Xiaoyu Chen, Kaixin Wang, Feifei Gao, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication

- Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation
  
  Xinyao Qin, Junjie Lu, Kaixin Wang, Chuheng Zhang, Sing Bing Kang, Kimin Lee, Minxian Xu, Bin Liang, Jun Yang, Li Zhao
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Reinforcing VLAs in Task-Agnostic World Models
  
  Yucen Wang, Rui Yu, Fengming Zhang, Junjie Lu, Xinyao Qin, Tianxiang Zhang, Kaixin Wang, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
  
  Sinjae Kang, Chanyoung Kim, Kaixin Wang, Li Zhao, Kimin Lee
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts
  
  Yuhua Jiang, Jingwen Lu, Xiaoting Qin, Xiaoyu Chen, Kaixin Wang, Feifei Gao, Li Zhao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State
  
  Samuel Garcin, Tom Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
  
  ICML 2026 | June 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- Co-Evolving Latent Action World Models
  
  Yucen Wang, Feng Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
  
  ICML 2026 | October 2025
  
  DOI Publication Publication
- villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
  
  Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
  
  ICLR 2026 | July 2025
  
  Publication
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication

Kaixin Wang

출판물

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State

Reinforcing VLAs in Task-Agnostic World Models

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts

Horizon Imagination: Efficient On-Policy Training in Diffusion World Models

Co-Evolving Latent Action World Models

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Dyn-O: Building Structured World Models with Object-Centric Representations

What Do Latent Action Models Actually Learn?

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State

Reinforcing VLAs in Task-Agnostic World Models

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts

Horizon Imagination: Efficient On-Policy Training in Diffusion World Models

Co-Evolving Latent Action World Models

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Dyn-O: Building Structured World Models with Object-Centric Representations

What Do Latent Action Models Actually Learn?

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

Reinforcing VLAs in Task-Agnostic World Models

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts

Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State

Horizon Imagination: Efficient On-Policy Training in Diffusion World Models

Co-Evolving Latent Action World Models

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Dyn-O: Building Structured World Models with Object-Centric Representations

What Do Latent Action Models Actually Learn?

연락처 Kaixin Wang

Microsoft Research Lab – Asia