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Yijie Jin / Drew

Ph.D. @ SJTU Research Intern @ Qwen

I am a Ph.D. student at DENG Lab, Shanghai Jiao Tong University, advised by Prof. Zhijie Deng, and a Research Intern on the Qwen Foundation Model Infrastructure Team.

My research sits at the intersection of Machine Learning Systems and Efficient Generative AI, with a focus on Algorithm–System Co-Design.

Yijie Jin
Shanghai, China

research

Algorithm ↔ System

Co-Design Recursive Self-Improvement

Self-improving model architectures and inference systems.

Efficient Interactive World Models

Algorithm–system co-optimization for real-time efficiency.

selected publications

All papers
  1. ArXiv2026

    Wave Forcing: Towards Speed-of-Light Streaming Video Generation

    Yijie Jin*, Yuxuan Liu*, Jiajun Xu*, Ye Huang*, Chuzhi Wang, Jiayang Li, Ruiyang Chen, Chenling Hong, Xu Wang, Zhijie Deng

    * Equal contribution.

    ArXiv Preprint, 2026

    pdfcodearxiv project
    bibtex
    @article{jin2026wave,
      title = {Wave Forcing: Towards Speed-of-Light Streaming Video Generation},
      author = {Jin, Yijie and Liu, Yuxuan and Xu, Jiajun and Huang, Ye and Wang, Chuzhi and Li, Jiayang and Chen, Ruiyang and Hong, Chenling and Wang, Xu and Deng, Zhijie},
      journal = {ArXiv Preprint},
      year = {2026},
    }
    
  2. EMNLP2026

    Multi-Block Diffusion Language Models

    Yijie Jin, Jiajun Xu, Yuxuan Liu, Chenkai Xu, Yi Tu, Jiajun Li, Dandan Tu, Xiaohui Yan, Kai Yu, Pengfei Liu, Zhijie Deng

    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026

    MainOral
    pdfarxiv
    bibtex
    @article{jin2026mbd,
      title = {Multi-Block Diffusion Language Models},
      author = {Jin, Yijie and Xu, Jiajun and Liu, Yuxuan and Xu, Chenkai and Tu, Yi and Li, Jiajun and Tu, Dandan and Yan, Xiaohui and Yu, Kai and Liu, Pengfei and Deng, Zhijie},
      journal = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
      year = {2026},
    }
    
  3. ICML2026

    LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

    Yanzhe Hu, Yijie Jin, Pengfei Liu, Kai Yu, Zhijie Deng

    International Conference on Machine Learning (ICML), 2026

    Regular
    pdfcodearxiv
    bibtex
    @article{hu2026lightningrl,
      title = {LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning},
      author = {Hu, Yanzhe and Jin, Yijie and Liu, Pengfei and Yu, Kai and Deng, Zhijie},
      journal = {International Conference on Machine Learning (ICML)},
      year = {2026},
    }
    
  4. ArXiv2025

    LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding

    Chenkai Xu*, Yijie Jin*, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng

    * Equal contribution.

    ArXiv Preprint, 2025

    ArXiv
    pdfcodearxiv
    bibtex
    @article{xu2025lopa,
      title = {LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding},
      author = {Xu, Chenkai and Jin, Yijie and Li, Jiajun and Tu, Yi and Long, Guoping and Tu, Dandan and Song, Mingcong and Si, Hongjie and Hou, Tianqi and Yan, Junchi and Deng, Zhijie},
      journal = {ArXiv Preprint},
      year = {2025},
    }
    
  5. ICLR2026

    Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

    Xu Wang, Chenkai Xu, Yijie Jin, Jiachun Jin, Hao Zhang, Zhijie Deng

    International Conference on Learning Representations (ICLR), 2026

    Poster
    pdfcodearxiv
    bibtex
    @article{wang2025d2f,
      title = {Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing},
      author = {Wang, Xu and Xu, Chenkai and Jin, Yijie and Jin, Jiachun and Zhang, Hao and Deng, Zhijie},
      journal = {International Conference on Learning Representations (ICLR)},
      year = {2026},
    }
    
  6. ACL2025

    Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs

    Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng

    Annual Meeting of the Association for Computational Linguistics (ACL), 2025

    MainPoster
    pdfcode
    bibtex
    @article{jin2025gsit,
      title = {Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs},
      author = {Jin, Yijie and Peng, Junjie and Lin, Xuanchao and Yuan, Haochen and Wang, Lan and Zheng, Cangzhi},
      journal = {Annual Meeting of the Association for Computational Linguistics (ACL)},
      year = {2025},
    }
    

news

Archive
  • MBD-LMs selected for an Oral presentation at EMNLP 2026 (Main).

  • MBD-LMs accepted at EMNLP 2026 (Main).

  • LightningRL accepted at ICML 2026 (Regular).

  • Received the Shanghai Outstanding Graduate Award.

  • D2F accepted at ICLR 2026 (Poster).

awards

  • Jul, 2026
    Shanghai Outstanding Graduate Award
  • May, 2025
    ASC Student Supercomputer Challenge First Prize(Preliminary Round 5th, Final Round 7th, AlphaFold3 & DeepSeek-R1 Inference Optimization).
  • Nov, 2024
    Shanghai University Academic Excellence First Class Scholarship
  • Aug, 2024
    Asia and Pacific Mathematical Contest in Modeling First Prize
  • Apr, 2024
    ASC Student Supercomputer Challenge Finalist(Core Task: LLM Inference Optimization).
  • Nov, 2023
    Shanghai University Academic Excellence Top Class Scholarship

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