🧑‍🔬 Chongxuan Li

🏛️ Affiliations

🎓Renmin University of ChinaBeijing · China2022–2025 · 30 paperscurrent🎓Tsinghua UniversityBeijing · China2015–2023 · 22 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2018–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Large Language Diffusion Models (2025 · 178 citations)
   Modern LLMs almost all rely on autoregressive next-token prediction. Many assume that scaling, in-context learning and instruction-following depend on this design. The authors test that assumption with LLaDA, a masked diffusion language model trained from scratch.
2. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models (2026 · 49 citations)
   Masked diffusion models (MDMs) for language cannot compute exact log-likelihoods, so preference alignment methods such as DPO cannot be applied directly.

All works

9 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps ↗neural information processing systems · no summary yetCheng Lu et al.2022 · 620 citations
2. All are Worth Words: A ViT Backbone for Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFan Bao et al.2023 · 327 citations
3. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
4. Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning ↗Nature Machine Intelligence · no summary yetYudeng Lin et al.2023 · 57 citations
5. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
6. Graphical Generative Adversarial Networks ↗arXiv (Cornell University) · no summary yetChongxuan Li et al.2018 · 26 citations
7. Efficient Learning of Generative Models via Finite-Difference Score Matching ↗arXiv (Cornell University) · no summary yetTianyu Pang et al.2020 · 8 citations
8. Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective ↗arXiv (Cornell University) · no summary yetJingyang Ou et al.2025 · 6 citations
9. To Relieve Your Headache of Training an MRF, Take AdVIL ↗arXiv (Cornell University) · no summary yetChongxuan Li et al.2019 · 5 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Fengqi Zhu ×2
• Ji-Rong Wen ×2
• Jun Zhou ×2
• Shen Nie ×2
• Xiaolu Zhang ×2
• Yankai Lin ×2
• Jun Hu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2025
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Nature Machine Intelligence
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 436 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated 1 November 2026

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