Yang Wang

Researcher

论文与出版物

查看方式：

- Miniature: Fast AI Supercomputer Networks Simulation on FPGAs
  
  Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong
  
  APNet | August 2025
  
  Best Student Paper
  
  DOI
- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI 项目
- SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
  
  Xiao Liang, Zhong-zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, Yelong Shen, Yingchun Wu, Weizhu Chen
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
  
  Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
  
  November 2024
  
  Publication Github
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
  
  Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
  
  29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24) | April 2024
  
  Publication
- LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
  
  Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23) | October 2023
  
  Microsoft Research Focus https://www.microsoft.com/en-us/research/blog/research-focus-week-of-november-8-2023/
  
  Publication 项目
- Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
  
  Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
  
  HotMobile'22 | March 2022
  
  Publication

- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI 项目
- SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
  
  Xiao Liang, Zhong-zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, Yelong Shen, Yingchun Wu, Weizhu Chen
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
  
  Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
  
  November 2024
  
  Publication Github
- Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
  
  Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
  
  HotMobile'22 | March 2022
  
  Publication
- Miniature: Fast AI Supercomputer Networks Simulation on FPGAs
  
  Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong
  
  APNet | August 2025
  
  Best Student Paper
  
  DOI
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- Miniature: Fast AI Supercomputer Networks Simulation on FPGAs
  
  Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong
  
  APNet | August 2025
  
  Best Student Paper
  
  DOI
- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI 项目
- VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
  
  Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
  
  November 2024
  
  Publication Github
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
  
  Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
  
  29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24) | April 2024
  
  Publication
- LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
  
  Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23) | October 2023
  
  Microsoft Research Focus https://www.microsoft.com/en-us/research/blog/research-focus-week-of-november-8-2023/
  
  Publication 项目
- Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
  
  Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
  
  HotMobile'22 | March 2022
  
  Publication
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI 项目

- Miniature: Fast AI Supercomputer Networks Simulation on FPGAs
  
  Yicheng Qian, Ran Shu, Rui Ma, Yang Wang, Derek Chiou, Nadeen Gebara, Luca Piccolboni, Miriam Leeser, Yongqiang Xiong
  
  APNet | August 2025
  
  Best Student Paper
  
  DOI
- PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
  
  Yu Cheng, Lei Wang, Yining Shi, Yuqing Xia, Lingxiao Ma, Jilong Xue, Yang Wang, Zhiwen Mo, Feiyang Chen, Fan Yang, Mao Yang, Zhi Yang
  
  OSDI | July 2025
  
  Publication
- Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
  
  Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
  
  FSE 2025 | June 2025
  
  The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
  
  Author's Version DOI 项目
- SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
  
  Xiao Liang, Zhong-zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, Yelong Shen, Yingchun Wu, Weizhu Chen
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering
  
  Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun
  
  2024 International Symposium on Microarchitecture | November 2024
  
  Publication
- VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
  
  Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
  
  November 2024
  
  Publication Github
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
  
  Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
  
  29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24) | April 2024
  
  Publication
- LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
  
  Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
  
  The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23) | October 2023
  
  Microsoft Research Focus https://www.microsoft.com/en-us/research/blog/research-focus-week-of-november-8-2023/
  
  Publication 项目
- Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
  
  Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
  
  HotMobile'22 | March 2022
  
  Publication

Yang Wang

论文与出版物

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup

Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup

Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup

Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices