Yi Zhu

SENIOR RESEARCH SDE

出版物

表示方法:

- TrainVerify: Equivalence-Based Verification for Distributed LLM Training
  
  Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
  
  Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP'25) | October 2025
  
  Publication
- rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
  
  Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- Differential Transformer
  
  Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
  
  MSR-TR-2024-42 | October 2024
  
  Microsoft による投稿
  
  Publication
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- You Only Cache Once: Decoder-Decoder Architectures for Language Models
  
  Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
  
  NeurIPS 2024 | May 2024
  
  DOI Publication Publication
- Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
  
  Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
  
  Sixth Conference on Machine Learning and Systems (MLSys'23) | June 2023
  
  Publication プロジェクト

- rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
  
  Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- Differential Transformer
  
  Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
  
  MSR-TR-2024-42 | October 2024
  
  Microsoft による投稿
  
  Publication
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- You Only Cache Once: Decoder-Decoder Architectures for Language Models
  
  Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
  
  NeurIPS 2024 | May 2024
  
  DOI Publication Publication
- TrainVerify: Equivalence-Based Verification for Distributed LLM Training
  
  Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
  
  Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP'25) | October 2025
  
  Publication
- TrainVerify: Equivalence-Based Verification for Distributed LLM Training
  
  Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
  
  Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP'25) | October 2025
  
  Publication
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
  
  Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
  
  Sixth Conference on Machine Learning and Systems (MLSys'23) | June 2023
  
  Publication プロジェクト
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github

- TrainVerify: Equivalence-Based Verification for Distributed LLM Training
  
  Yunchi Lu, Youshan Miao, Cheng Tan, Peng Huang, Yi Zhu, Xian Zhang, Fan Yang
  
  Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles (SOSP'25) | October 2025
  
  Publication
- rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
  
  Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
  
  Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
  
  OSDI | July 2024
  
  Publication Github
- You Only Cache Once: Decoder-Decoder Architectures for Language Models
  
  Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
  
  NeurIPS 2024 | May 2024
  
  DOI Publication Publication
- Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
  
  Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
  
  Sixth Conference on Machine Learning and Systems (MLSys'23) | June 2023
  
  Publication プロジェクト
- Differential Transformer
  
  Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
  
  MSR-TR-2024-42 | October 2024
  
  Microsoft による投稿
  
  Publication

Yi Zhu

出版物

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Differential Transformer

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Differential Transformer

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

You Only Cache Once: Decoder-Decoder Architectures for Language Models

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

TrainVerify: Equivalence-Based Verification for Distributed LLM Training

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning

Differential Transformer

お問い合わせ Yi Zhu

Microsoft Research Lab – Asia