---
title: "Pengxiang Cheng · Bloomberg — author profile and papers"
description: "Pengxiang Cheng, Bloomberg: 2 papers on Elamur Research (2016–2022), h-index 12 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/pengxiang-cheng/"
---
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# Pengxiang Cheng

Pengxiang Cheng has 2 papers in our library, in 2016–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Daniel Preotiuc-Pietro](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/), [Katrin Erk](https://md.research.elamur.ai/free/en/authors/katrin-erk/), [Raymond J. Mooney](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/).

2 papers in our library · 2016–2022

[OpenAlex](https://openalex.org/A5088553265) · [ORCID](https://orcid.org/0000-0001-5997-705X) · [Wikidata](https://www.wikidata.org/wiki/Q131016590) · [**h-index 12**](https://openalex.org/authors/A5088553265) · [26 works](https://openalex.org/works?filter=author.id:A5088553265) · [567 citations](https://openalex.org/works?filter=author.id:A5088553265&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/#papers) · [🔗 Cited 120 times in our library](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6586](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6586)

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

## Affiliations

[🏢**Bloomberg** New York · United States 2023–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/bloomberg/) · [🏢**Huawei Technologies** Shenzhen · China 2020–2023 · 8 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**The University of Texas at Austin** Austin · United States 2016–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/year/2022/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Dataless Knowledge Fusion by Merging Weights of Language Models](https://md.research.elamur.ai/free/en/papers/jin-2022-dataless-knowledge-fusion-merging-weights/)** *(2022 · 101 citations)* Many fine-tuned language models are published while the labeled data behind them stays private, which rules out multi-task learning as a way to combine what they know.
2. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/)** *(2016 · 89 citations)* NLP applications need more from semantics than any single representation offers. Logical forms handle sentence structure, negation and quantifiers, but they are binary and depend on hand-built lexicons. Distributional vectors capture graded similarity between words and phrases but lack structural detail. Beltagy et…

## All works

3 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. **[A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data ↗](https://doi.org/10.1145/3397271.3401083) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Dugang Liu et al.*2020 · 194 citations*
2. [**Dataless Knowledge Fusion by Merging Weights of Language Models arXiv:2212.09849**Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, et al.*2022 · 101 citations*](https://md.research.elamur.ai/free/en/papers/jin-2022-dataless-knowledge-fusion-merging-weights/)
3. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*

## Co-authors here

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

- [Daniel Preotiuc-Pietro](https://md.research.elamur.ai/free/en/authors/daniel-preotiuc-pietro/)
- [Katrin Erk](https://md.research.elamur.ai/free/en/authors/katrin-erk/)
- [Raymond J. Mooney](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/)
- [Stephen Roller](https://md.research.elamur.ai/free/en/authors/stephen-roller/)
- [Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/)
- [Xisen Jin](https://md.research.elamur.ai/free/en/authors/xisen-jin/)

## Venues

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

- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2016](https://md.research.elamur.ai/free/en/venues/cl/2016/)
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

## Cited by

Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pengxiang-cheng/cited-by/).

Updated 2 November 2026
