Diffusion Language Models
Modeling, acceleration, and inference infrastructure.
drew@research ~ $ whoami
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.

Modeling, acceleration, and inference infrastructure.
Self-improving model architectures and inference systems.
Algorithm–system co-optimization for real-time efficiency.
ArXiv Preprint, 2026
@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},
}
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
@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},
}
International Conference on Machine Learning (ICML), 2026
@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},
}
ArXiv Preprint, 2025
@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},
}
International Conference on Learning Representations (ICLR), 2026
@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},
}
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
@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},
}
Our new preprint Wave Forcing reached #2 on Hugging Face Daily Papers. Project · Code.
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).
Feel free to reach out via email.