---
title: "Haifeng Sun — author profile and papers — Elamur Research"
description: "Haifeng Sun, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2026), h-index 30 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/haifeng-sun/"
---
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# Haifeng Sun

Haifeng Sun has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/), [Jingyu Wang](https://md.research.elamur.ai/free/en/authors/jingyu-wang/), [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5008194128) · [ORCID](https://orcid.org/0000-0003-3072-7422) · [Wikidata](https://www.wikidata.org/wiki/Q130800132) · [**h-index 30**](https://openalex.org/authors/A5008194128) · [241 works](https://openalex.org/works?filter=author.id:A5008194128) · [3,400 citations](https://openalex.org/works?filter=author.id:A5008194128&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haifeng-sun/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/haifeng-sun/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11520](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11520)

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

## Affiliations

[🎓**Beijing University of Posts and Telecommunications** Beijing · China 2012–2026 · 217 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**State Key Laboratory of Networking and Switching Technology** Beijing · China 2012–2026 · 161 papers*current*](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-networking-and-switching-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 5 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/haifeng-sun/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/)** *(2026 · 1 citation)* The paper tackles a weakness in LLM machine unlearning: current techniques tend to suppress only the literal wording of the data to be forgotten.
2. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/)** *(2026)* Running large language models on modest hardware is costly. Current customization routes either compress and fine-tune separately for every target task, which is expensive, or tune once on general data, which tends to hurt task-level quality through interference and forgetting. ModularMoE addresses this by turning an…

## All works

4 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. **[Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.370/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Chunning Du et al.*2020 · 203 citations*
2. **[Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification ↗](https://aclanthology.org/D19-1551/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chunning Du et al.*2019 · 94 citations*
3. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huazheng Wang, Yongcheng Jing, Haifeng Sun, et al.*2026 · 1 citation*
4. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxing Liu, Qi Qi, Haifeng Sun, et al.*2026*

## Co-authors here

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

- [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/) ×2
- [Jingyu Wang](https://md.research.elamur.ai/free/en/authors/jingyu-wang/) ×2
- [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/)
- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/)
- [Huazheng Wang](https://md.research.elamur.ai/free/en/authors/huazheng-wang/)
- [Jiaxing Liu](https://md.research.elamur.ai/free/en/authors/jiaxing-liu/)
- [Qi Qi](https://md.research.elamur.ai/free/en/authors/qi-qi/)
- [Yingjie Wang](https://md.research.elamur.ai/free/en/authors/yingjie-wang/)
- [Yongcheng Jing](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

## Cited by

Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haifeng-sun/cited-by/).

Updated 1 November 2026
