Ziming Miao

Researcher

출판물

자료 보기:

- WaferLLM: Large Language Model Inference at Wafer Scale
  
  Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
  
  OSDI 2025 | July 2025
  
  Publication
- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
  
  Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, E. Ponti, Luo Mai
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10
  
  Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
  
  SOSP 2024 | August 2024
  
  Publication
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
  
  Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- Welder: Scheduling Deep Learning Memory Access via Tile-graph
  
  Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication

- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
  
  Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, E. Ponti, Luo Mai
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication
- WaferLLM: Large Language Model Inference at Wafer Scale
  
  Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
  
  OSDI 2025 | July 2025
  
  Publication
- Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10
  
  Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
  
  SOSP 2024 | August 2024
  
  Publication
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
  
  Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- Welder: Scheduling Deep Learning Memory Access via Tile-graph
  
  Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10
  
  Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
  
  SOSP 2024 | August 2024
  
  Publication

- WaferLLM: Large Language Model Inference at Wafer Scale
  
  Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
  
  OSDI 2025 | July 2025
  
  Publication
- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
  
  Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, E. Ponti, Luo Mai
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10
  
  Yiqi Liu, Yuqi Xue, Yu Cheng, Lingxiao Ma, Ziming Miao, Jilong Xue, Jian Huang
  
  SOSP 2024 | August 2024
  
  Publication
- Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
  
  Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
  
  OSDI 2024 | July 2024
  
  Publication Github
- Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
  
  Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- Welder: Scheduling Deep Learning Memory Access via Tile-graph
  
  Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou
  
  17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23) | July 2023
  
  Publication 프로젝트
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
  
  NeurIPS 2022 | November 2022
  
  Outstanding Paper
  
  Publication

Ziming Miao

출판물

WaferLLM: Large Language Model Inference at Wafer Scale

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning

Welder: Scheduling Deep Learning Memory Access via Tile-graph

A Neural Corpus Indexer for Document Retrieval

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

A Neural Corpus Indexer for Document Retrieval

WaferLLM: Large Language Model Inference at Wafer Scale

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning

Welder: Scheduling Deep Learning Memory Access via Tile-graph

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10

WaferLLM: Large Language Model Inference at Wafer Scale

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor with T10

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning

Welder: Scheduling Deep Learning Memory Access via Tile-graph

A Neural Corpus Indexer for Document Retrieval