李萌

李萌

助理教授、研究员、博雅青年学者

人工智能研究院

集成电路学院

北京大学

Biography

李萌于2022年加入北京大学集成电路学院和人工智能研究院,任助理教授,博士生导师,博雅青年学者。加入北京大学前,他曾任职于美国Facebook公司的虚拟现实增强现实实验室,作为技术主管主导虚拟现实和增强现实设备中的人工智能加速算法和系统研究。他于2018年和2013年分别在美国德州大学奥斯汀分校和北京大学获得博士和学士学位。

他的研究兴趣集中于高效、安全的多模态人工智能加速算法和芯片,旨在通过算法到芯片的跨层次协同设计和优化,为人工智能构建高能效、高可靠、高安全的算力基础。他的研究获得了科技部重点研发课题、国自然重大项目课题、国自然重大研究计划培养项目等一些列国家级项目支持。

他在国际顶级会议、期刊发表文章90余篇,引用7000余次,获得最佳论文2次。此外,他还获得了DAC系统设计竞赛第一名、AICAS大模型系统设计竞赛第一名、CCF集成电路Early Career Award、欧洲设计自动化协会最佳博士论文、ACM学生科研竞赛总决赛第一名、美国德州大学奥斯汀分校 Margarida Jacome 杰出论文奖、ASPDAC博士科研论坛最佳海报报告奖、ACM/SIGDA博士科研竞赛金牌以及半导体安全领域顶会IEEE HOST和集成电路设计自动化领域顶会ACM GLSVLSI最佳论文奖。

实验室常年招收对人工智能算法和芯片感兴趣的本科生、硕士生、博士生和博士后。对于感兴趣学生,欢迎给我发送邮件,邮件主题为"Prospective Student from [Your Institute]",同时在邮件中插入你的简历、成绩单或其他材料。

兴趣爱好
  • 高效、安全多模态人工智能加速算法和芯片
  • 算法/芯片协同设计
教育经历
  • 博士,计算机工程, 2018

    德克萨斯州州立大学奥斯汀分校,美国

  • 硕士,计算机工程, 2015

    德克萨斯州州立大学奥斯汀分校,美国

  • 学士,微电子学, 2013

    北京大学,中国

Research Focus

Efficient AI Algorithm
Multi-Modal AI
AI/HW Co-Design

Experience

 
 
 
 
 
Tenure-Track Assistant Professor
7月 2022 – 现在 Beijing
Institute of Artificial Intelligence
 
 
 
 
 
Staff Research Scientist
9月 2018 – 7月 2022 California

Experience:

  • 2018.09 - 2020.01 Research Scientist
  • 2020.01 - 2021.06 Senior Research Scientist
  • 2021.06 - 2022.07 Staff Research Scientist

Responsibilities include:

  • Tech Lead, On-Device AI, Meta Reality Lab
  • Efficient NN for AR Glasses
  • Efficient NN/HW Co-Design/Co-Optimization
 
 
 
 
 
Research Intern
5月 2017 – 8月 2017 California
Privacy-preserving neural network training, including federated learning with non-IID data and PrivyNet with split network architectures
 
 
 
 
 
Research Intern
5月 2016 – 8月 2016 California
Cross-level monte carlo framework for system vulnerability evaluation against fault attack
 
 
 
 
 
Research & Design Intern
Cadence Design System
5月 2014 – 8月 2014 California
Static timing analysis acceleration

Recent Publications

More detailed publication lists available through Google Scholar

Quickly discover relevant content by filtering publications.
(2025). Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. In Usenix Security Symposium 2025.

(2025). HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. In Design Automation Conference (DAC) 2025.

(2025). ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. In Design Automation Conference (DAC) 2025.

(2025). SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. In Design Automation Conference (DAC) 2025.

(2025). UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference. In Design Automation Conference (DAC) 2025.

(2025). Compact Non-Volatile Lookup Table Architecture based on Ferroelectric FET Array through In-Situ Combinatorial One-Hot Encoding for Reconfigurable Computing. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

(2025). FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

(2025). LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

(2025). SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

(2025). Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator. In Asia and South Pacific Design Automation Conference (ASP-DAC) 2025.

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Accomplish­ments

  • AICAS Grand Challenge on LLM Hardware System Design 1st Place — IEEE Circuit & System Society, 4月 2025
  • Young Teachers’ Teaching Skills Competition 1st Place Prize — Peking University, 12月 2024
  • CCF-Ant Group Research Award on Hardware/Software Co-Design — China Computer Federation (CCF), 8月 2024
  • CCF Integrated Circuits Early Career Award — China Computer Federation (CCF), 7月 2024
  • Secretflow Outstanding Industry-Academic Cooperation Contribution Award — Ant Group, 5月 2024
  • CCF-Ant Group Research Award on Privacy Computing — China Computer Federation (CCF), 8月 2023
  • Margarida Jacome Outstanding Dissertation Prize — University of Texas at Austin, 5月 2019
  • Outstanding Dissertations Award — European Design and Automation Association (EDAA), 5月 2019
  • Nominee of ACM Doctoral Dissertation Award — University of Texas at Austin, 3月 2019
  • First Place, Student Research Competition Grand Final (Graduate Category) — Aossication of Computing Machinery (ACM), 6月 2018
  • Best Paper Award — ACM Great Lake Symposium on VLSI (GLSVLSI), 3月 2018
  • Best Poster (Presentation) Award — ASPDAC Student Research Forum, Aossication of Computing Machinery (ACM) SIGDA, 2月 2018
  • Gold Medal — ICCAD Student Research Competition, Aossication of Computing Machinery (ACM) SIGDA, 11月 2017
  • Best Paper Award — IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 7月 2017
  • Cockrell School Graduate Student Fellowship — University of Texas at Austin, 9月 2013
  • Yang Fuqing and Wang Yangyuan Academician Scholarship — Peking University, 9月 2011
  • Li Yanhong Baidu Scholarship — Peking University, 9月 2010

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