Yadong (Adam) Lu

Senior Researcher / enthusiastic go player

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I am a senior researcher at Microsoft Research, Redmond working on efficient pre/post-training methodologies of large vision-language models. Before that I received my Ph.D. degree in Statistics at UC Irvine (advisor: Pierre Baldi).

I am hiring intern for summer 2025. If you are interested in working with us on multimodal models and OS agents, feel free to reachout.

Recent publications

  1. Arxiv
    OmniParser for Pure Vision Based GUI Agent
    Lu, Yadong, Yang, Jianwei, Shen, Yelong, and Awadallah, Ahmed
    2024
  2. Arxiv
    Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
    Ren, Liliang, Liu, Yang, Lu, Yadong, Shen, Yelong, Liang, Chen, and Chen, Weizhu
    2024
  3. Arxiv
    Multi-LoRA Composition for Image Generation
    Zhong, Ming, Shen, Yelong, Wang, Shuohang, Lu, Yadong, Jiao, Yizhu, Ouyang, Siru, Yu, Donghan, Han, Jiawei, and Chen, Weizhu
    2024
  4. Arxiv
    An Empirical Study of Scaling Instruction-Tuned Large Multimodal Models
    Yadong, Lu, Chunyuan, Li, Haotian, Liu, Jianwei, Yang, Jianfeng, Gao, and Yelong, Shen
    Arxiv 2023
  5. Arxiv
    Efficient RLHF: Reducing the Memory Usage of PPO
    Michael, Santacroce, Yadong, Lu, Han, Yu, Yuanzhi, Li, and Yelong, Shen
    Arxiv 2023
  6. NeurIPS
    In-Context Learning Unlocked for Diffusion Models
    Wang, Zhendong, Jiang, Yifan, Lu, Yadong, Shen, Yelong, He, Pengcheng, Chen, Weizhu, Wang, Zhangyang, and Zhou, Mingyuan
    NeurIPS Spotlight 2023
  7. Patent
    Progressive data compression using artificial neural networks
    Lu, Yadong, Yang, Yang, Zhu, Yinhao, Said, Amir, and Cohen, Taco
    US Patent 2022
  8. Patent
    Variable bit rate compression using neural network models
    Lu, Yadong, Yang, Yang, Zhu, Yinhao, Said, Amir, Pourreza, Reza, and Cohen, Taco
    US Patent 2022
  9. JHEP
    Resolving Extreme Jet Substructure
    Lu, Yadong, Romero, Alexis, Fenton, Michael James, Whiteson, Daniel, and Baldi, Pierre
    Journal of High Energy Physics 2022
  10. Phys Rev.D
    Sparse autoregressive models for scalable generation of sparse images in particle physics
    Lu, Yadong, Collado, Julian, Whiteson, Daniel, and Baldi, Pierre
    Physics Review D Feb 2021
  11. ECCV
    Differentiable Joint Pruning and Quantization for Hardware Efficiency
    Wang, Yin, Lu, Yadong, and Blankevoort, Tijmen
    European Conference on Computer Vision (ECCV) Feb 2020
  12. ICIP
    Progressive Neural Image Compression With Nested Quantization And Latent Ordering
    Lu, Yadong*, Zhu, Yinhao*, Yang, Yang*, Said, Amir, and Cohen, Taco S
    In IEEE International Conference on Image Processing (ICIP) Feb 2021