---
title: "Ce Zhang · University of Bristol — author profile and papers"
description: "Ce Zhang, University of Bristol: 3 papers on Elamur Research (2023–2026), h-index 46 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/ce-zhang/"
---
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# Ce Zhang

Ce Zhang has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-wang/), [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/), [Binhang Yuan](https://md.research.elamur.ai/free/en/authors/binhang-yuan/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5004750246) · [ORCID](https://orcid.org/0000-0001-5100-3584) · [Wikidata](https://www.wikidata.org/wiki/Q58440803) · [**h-index 46**](https://openalex.org/authors/A5004750246) · [322 works](https://openalex.org/works?filter=author.id:A5004750246) · [10,760 citations](https://openalex.org/works?filter=author.id:A5004750246&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ce-zhang/#papers) · [🔗 Cited 1,882 times in our library](https://md.research.elamur.ai/free/en/authors/ce-zhang/cited-by/) · [18 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5524](https://md.research.elamur.ai/free/en/paper-stars/page/56/#star-5524)

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=Ce+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ce+Zhang) · [dblp](https://dblp.org/search?q=Ce+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Ce+Zhang)

## Affiliations

[🔬**UK Centre for Ecology & Hydrology** Wallingford · United Kingdom 2023–2026Employment 2023–2026 · Fellow in UK Centre for Ecology and Hydrology, Biodiversity and Land Use*current*](https://ror.org/00pggkr55) · [🎓**University of Bristol** Bristol · United Kingdom 2023–2026Employment since 2023 · Member, Cabot InstituteEmployment since 2026 · Academic , Senior Lecturer, School of Geographical Sciences*current*](https://md.research.elamur.ai/free/en/universities/university-of-bristol/) · [🎓**ETH Zurich** Zurich · Switzerland 2016–2026 · 189 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**University of Wisconsin–Madison** Madison · United States 2011–2016 · 24 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Chicago** Chicago · United States 2023–2026 · 21 papers](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) · [🎓**Stanford University** Stanford · United States 2014–2016 · 16 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Peking University** Beijing · China 2008–2010 · 6 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Institute for Computing Platforms** Zurich · Switzerland 2022–2026 · 4 papers](https://ror.org/00ppz8629) · [🤝**Together** Lacey · United States 2024–2025 · 3 papers](https://ror.org/01azqfh67) · [🎓**University of Zurich** Zurich · Switzerland 2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-zurich/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ce-zhang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ce-zhang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ce-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time](https://md.research.elamur.ai/free/en/papers/liu-2023-deja-vu-contextual-sparsity-efficient/)** *(2023 · 185 citations)* Serving very large language models is slow, especially when generating tokens one at a time in latency-sensitive settings.
2. **[Mixture-of-Agents Enhances Large Language Model Capabilities](https://md.research.elamur.ai/free/en/papers/wang-2024-mixture-agents-enhances-large/)** *(2024 · 116 citations)* Different LLMs have complementary strengths, but scaling any single model further is very expensive. This paper asks whether several existing models can be combined to beat each of them individually. The authors first describe a property they call collaborativeness: a model usually writes a better answer when it can…
3. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/)** *(2026 · 1 citation)* Deep Research agents need more than retrieval. They must combine scattered, heterogeneous evidence through multi-step reasoning. Existing training and evaluation resources mostly reward locating a single entity, so agents learn to call tools often instead of reasoning carefully.

## All works

21 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
2. **[Towards Efficient Data Valuation Based on the Shapley Value ↗](https://arxiv.org/abs/1902.10275) arXiv (Cornell University) · no summary yet**Ruoxi Jia et al.*2019 · 191 citations*
3. **[Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time](https://md.research.elamur.ai/free/en/papers/liu-2023-deja-vu-contextual-sparsity-efficient/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Zichang Liu, Jue Wang, Tri Dao, et al.*2023 · 185 citations*
4. **[A Principled Approach to Data Valuation for Federated Learning ↗](https://doi.org/10.1007/978-3-030-63076-8_11) Lecture notes in computer science · no summary yet**Tianhao Wang et al.*2020 · 178 citations*
5. **[Efficient task-specific data valuation for nearest neighbor algorithms ↗](https://doi.org/10.14778/3342263.3342637) Proceedings of the VLDB Endowment · no summary yet**Ruoxi Jia et al.*2019 · 176 citations*
6. [**Mixture-of-Agents Enhances Large Language Model Capabilities arXiv:2406.04692**Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.*2024 · 116 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-mixture-agents-enhances-large/)
7. **[CogniVal: A Framework for Cognitive Word Embedding Evaluation ↗](https://aclanthology.org/K19-1050/) Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) · no summary yet**Nora Hollenstein et al.*2019 · 86 citations*
8. **[DL2: Training and Querying Neural Networks with Logic. ↗](https://openalex.org/W2923924002) International Conference on Machine Learning · no summary yet**Marc Fischer et al.*2019 · 76 citations*
9. **[Decentralized Training of Foundation Models in Heterogeneous Environments ↗](https://arxiv.org/abs/2206.01288) arXiv:2206.01288 · no summary yet**Binhang Yuan et al.*2022 · 59 citations*
10. **[Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries ↗](https://arxiv.org/abs/1507.05670) arXiv (Cornell University) · no summary yet**Yuke Zhu et al.*2015 · 45 citations*
11. **[Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? ↗](https://doi.org/10.1109/cvpr46437.2021.00814) 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**Ruoxi Jia et al.*2019 · 33 citations*
12. **[Mechanistic Design and Scaling of Hybrid Architectures ↗](https://arxiv.org/abs/2403.17844) arXiv (Cornell University) · no summary yet**Michael Poli et al.*2024 · 22 citations*
13. **[Deep Learning for Recommender Systems ↗](https://doi.org/10.1007/978-1-0716-2197-4_5) Springer eBooks · no summary yet**Shuai Zhang et al.*2021 · 16 citations*
14. **[CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ↗](https://openalex.org/W7113259336) Rare & Special e-Zone (The Hong Kong University of Science and Technology) · no summary yet**Beidi Chen et al.*2023 · 14 citations*
15. **[Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions ↗](https://doi.org/10.52202/075280-0747) neural information processing systems · no summary yet**Stefano Massaroli et al.*2023 · 13 citations*
16. **[Knowledge Router: Learning Disentangled Representations for Knowledge Graphs ↗](https://aclanthology.org/2021.naacl-main.1/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Shuai Zhang et al.*2021 · 8 citations*
17. **[Beat the long tail: Distribution-Aware Speculative Decoding for RL Training ↗](https://arxiv.org/abs/2511.13841) arXiv (Cornell University) · no summary yet**Shao, Zelei et al.*2025 · 6 citations*
18. **[Switch Spaces: Learning Product Spaces with Sparse Gating ↗](https://arxiv.org/abs/2102.08688) arXiv (Cornell University) · no summary yet**Shuai Zhang et al.*2021 · 3 citations*
19. **[Effective and Efficient Federated Tree Learning on Hybrid Data ↗](https://arxiv.org/abs/2310.11865) arXiv (Cornell University) · no summary yet**Qinbin Li et al.*2023 · 2 citations*
20. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Ce Zhang, Jun-Yu Ma, et al.*2026 · 1 citation*
21. **[When RL Meets Adaptive Speculative Training: A Unified Training-Serving System ↗](https://arxiv.org/abs/2602.06932) arXiv (Cornell University) · no summary yet**Junxiong Wang et al.*2026*

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-wang/) ×2
- [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/)
- [Binhang Yuan](https://md.research.elamur.ai/free/en/authors/binhang-yuan/)
- [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/)
- [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/)
- [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/)
- [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/)
- [Hongming Zhang](https://md.research.elamur.ai/free/en/authors/hongming-zhang/)
- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/)
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/)
- [Jianshu Zhang](https://md.research.elamur.ai/free/en/authors/jianshu-zhang/)
- [Jun-Yu Ma](https://md.research.elamur.ai/free/en/authors/jun-yu-ma/)

## Venues

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

- [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/) ×2: [ICML 2023](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2023/)
- [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/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Lecture notes in computer science
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
- Proceedings of the VLDB Endowment
- Rare & Special e-Zone (The Hong Kong University of Science and Technology)
- Springer eBooks
- neural information processing systems

## Cited by

Papers of our library cite their works 1,882 times (of the 149,439 papers whose bibliographies we read); [397 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ce-zhang/cited-by/).

Updated 2 November 2026