--- title: "Chongxuan Li — author profile and papers — Elamur Research" description: "Chongxuan Li, Renmin University of China: 2 papers on Elamur Research (2025–2026), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/chongxuan-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chongxuan-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chongxuan Li # Chongxuan Li Chongxuan Li has 2 papers in our library, in 2025–2026; often with [Fengqi Zhu](https://md.research.elamur.ai/free/en/authors/fengqi-zhu/), [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/), [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5072905534) · [ORCID](https://orcid.org/0000-0002-0912-9076) · [**h-index 18**](https://openalex.org/authors/A5072905534) · [85 works](https://openalex.org/works?filter=author.id:A5072905534) · [2,017 citations](https://openalex.org/works?filter=author.id:A5072905534&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chongxuan-li/#papers) · [🔗 Cited 436 times in our library](https://md.research.elamur.ai/free/en/authors/chongxuan-li/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6172](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6172) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Chongxuan+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chongxuan+Li) · [dblp](https://dblp.org/search?q=Chongxuan+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Chongxuan+Li) ## Affiliations [🎓**Renmin University of China** Beijing · China 2022–2025 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**Tsinghua University** Beijing · China 2015–2023 · 22 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chongxuan-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chongxuan-li/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-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](https://md.research.elamur.ai/free/en/papers/zhu-2026-llada-1-5-variance-reduced/)** *(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 ↗](https://doi.org/10.52202/068431-0418) neural information processing systems · no summary yet**Cheng Lu et al.*2022 · 620 citations* 2. **[All are Worth Words: A ViT Backbone for Diffusion Models ↗](https://doi.org/10.1109/cvpr52729.2023.02171) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Fan Bao et al.*2023 · 327 citations* 3. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**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 ↗](https://doi.org/10.1038/s42256-023-00680-y) Nature Machine Intelligence · no summary yet**Yudeng Lin et al.*2023 · 57 citations* 5. **[LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-llada-1-5-variance-reduced/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.*2026 · 49 citations* 6. **[Graphical Generative Adversarial Networks ↗](https://arxiv.org/abs/1804.03429) arXiv (Cornell University) · no summary yet**Chongxuan Li et al.*2018 · 26 citations* 7. **[Efficient Learning of Generative Models via Finite-Difference Score Matching ↗](https://arxiv.org/abs/2007.03317) arXiv (Cornell University) · no summary yet**Tianyu Pang et al.*2020 · 8 citations* 8. **[Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective ↗](https://arxiv.org/abs/2512.03759) arXiv (Cornell University) · no summary yet**Jingyang Ou et al.*2025 · 6 citations* 9. **[To Relieve Your Headache of Training an MRF, Take AdVIL ↗](https://arxiv.org/abs/1901.08400) arXiv (Cornell University) · no summary yet**Chongxuan Li et al.*2019 · 5 citations* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Fengqi Zhu](https://md.research.elamur.ai/free/en/authors/fengqi-zhu/) ×2 - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) ×2 - [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/) ×2 - [Shen Nie](https://md.research.elamur.ai/free/en/authors/shen-nie/) ×2 - [Xiaolu Zhang](https://md.research.elamur.ai/free/en/authors/xiaolu-zhang/) ×2 - [Yankai Lin](https://md.research.elamur.ai/free/en/authors/yankai-lin/) ×2 - [Jun Hu](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/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); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chongxuan-li/cited-by/). Updated 1 November 2026