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Yujun Lin

Ph.D. Student
MIT EECS
yujunlin [at] mit [dot] edu


About Me

I am currently a Ph.D. student at MIT HAN Lab of MIT EECS, advised by Prof. Song Han. My research area is the intersection of computer architecture and machine learning, especially software and hardware co-design for deep learning and its applications.

Before coming to MIT, I received my B.Eng. in Electronic Engineering from Tsinghua University. During my undergrad, I was fortunate to work with Professor Bill Dally and Professor Yu Wang.

News

Selected Publications

  1. arXiv
    QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
    Yujun Lin*, Haotian Tang*, Shang Yang*, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han.
    arXiv, 2024.
    Paper Code Project Page

  2. HPCA
    QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
    Hanrui Wang, Yongshan Ding, Jiaqi Gu, Zirui Li, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han.
    HPCA, 2022.
    Paper Code Project Page Oral Presentation

  3. MICRO
    PointAcc: Efficient Point Cloud Accelerator
    Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
    MICRO, 2021.
    Paper Project Page Oral Presentation

  4. DAC
    NAAS: Neural Accelerator Architecture Search
    Yujun Lin*, Mengtian Yang*, Song Han
    DAC, 2021.
    Paper Project Page Oral Presentation

  5. ECCV
    Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
    Haotian Tang*, Zhijian Liu*, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
    ECCV, 2020.
    Paper Code Project Page

  6. NeurIPS
    MCUNet: Tiny Deep Learning on IoT Devices
    Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
    NeurIPS, 2020.
    Paper Code Project Page Spotlight Presentation

  7. ICLR
    Lite Transformer with Long-Short Range Attention
    Zhanghao Wu*, Zhijian Liu*, Ji Lin, Yujun Lin, Song Han
    ICLR, 2020.
    Paper Code Project Page

  8. NeurIPS
    Point-Voxel CNN for Efficient 3D Deep Learning
    Zhijian Liu*, Haotian Tang*, Yujun Lin, Song Han
    NeurIPS, 2019.
    Paper Code Project Page Spotlight Presentation

  9. CVPR
    HAQ: Hardware-Aware Automated Quantization with Mixed Precision
    Kuan Wang*, Zhijian Liu*, Yujun Lin*, Ji Lin, Song Han
    CVPR, 2019.
    Paper Code Project Page Oral Presentation

  10. DAC
    Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification
    Yi Cai*, Yujun Lin*, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
    DAC, 2018.
    Paper

  11. ICLR
    Deep Gradient Compression: Reducing the communication bandwidth for distributed training
    Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally
    ICLR, 2018.
    Paper Code Project Page

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