---
title: "Yasha Wang · Peking University — author profile and papers"
description: "Yasha Wang, Peking University: 4 papers on Elamur Research (2025–2026), h-index 35 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/yasha-wang/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yasha-wang/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yasha Wang

# Yasha Wang

Yasha Wang has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/), [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/), [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5055336632) · [ORCID](https://orcid.org/0000-0002-8026-9688) · [**h-index 35**](https://openalex.org/authors/A5055336632) · [168 works](https://openalex.org/works?filter=author.id:A5055336632) · [5,186 citations](https://openalex.org/works?filter=author.id:A5055336632&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yasha-wang/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/yasha-wang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9993](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9993)

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

## Affiliations

[🎓**Peking University** Beijing · China 2005–2026 · 128 papersEmployment since 2013 · Professor*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏛️**Ministry of Education of the People's Republic of China** Beijing · China 2019–2024 · 2 papers](https://md.research.elamur.ai/free/en/government/ministry-of-education-of-the-people-s-republic-of-china/) · [🎓**Zhejiang Wanli University** Ningbo · China 2017–2024 · 2 papers](https://ror.org/00rjdhd62)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 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/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yasha-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yasha-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Recurrent Knowledge Identification and Fusion for Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/feng-2025-recurrent-knowledge-identification-fusion-language/)** *(2025 · 11 citations)* This paper tackles continual learning for large language models, where a model must absorb tasks one after another without losing earlier skills (catastrophic forgetting) while still benefiting from links between tasks (knowledge transfer).
2. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/)** *(2025 · 9 citations)* Retrieval-augmented LLMs face two competing demands. They should trust retrieved evidence even when it contradicts what they memorized (adherence), and they should ignore retrieved passages that look relevant but are actually noise (robustness). Training aimed at one of these tends to hurt the other. The authors…
3. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/)** *(2026 · 4 citations)* Most medical LLMs answer straight away from the patient's first description. When that description is incomplete, this can produce misdiagnoses. ProMed is a reinforcement learning framework that trains models to ask follow-up questions and collect missing clinical details before giving an answer. Its core is the…
4. **[DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search](https://md.research.elamur.ai/free/en/papers/yang-2026-dfams-dynamic-flow-guided-federated/)** *(2026)* Federated Retrieval (FR) sends a query to several separate knowledge bases instead of one central index. Current FR systems often pick the wrong source or return weak documents when a query is ambiguous or crosses domains. DFAMS addresses this using the Dynamic Information Flow (DIF), meaning the activation paths…

## All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[Explainable Recommendation through Attentive Multi-View Learning ↗](https://doi.org/10.1609/aaai.v33i01.33013622) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jingyue Gao et al.*2019 · 128 citations*
2. **[COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment ↗](https://doi.org/10.1609/aaai.v34i03.5696) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Kai Yang et al.*2020 · 61 citations*
3. **[Recurrent Knowledge Identification and Fusion for Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/feng-2025-recurrent-knowledge-identification-fusion-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujie Feng, Xujia Wang, Zexin Lu, et al.*2025 · 11 citations*
4. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.*2025 · 9 citations*
5. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongxin Ding, Baixiang Huang, Yue Fang, et al.*2026 · 4 citations*
6. **[DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search](https://md.research.elamur.ai/free/en/papers/yang-2026-dfams-dynamic-flow-guided-federated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhibang Yang, Xinke Jiang, Rihong Qiu, et al.*2026*

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/) ×3
- [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/) ×3
- [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/) ×3
- [Yongxin Xu](https://md.research.elamur.ai/free/en/authors/yongxin-xu/) ×3
- [Hongxin Ding](https://md.research.elamur.ai/free/en/authors/hongxin-ding/) ×2
- [Yue Fang](https://md.research.elamur.ai/free/en/authors/yue-fang/) ×2
- [Yujie Feng](https://md.research.elamur.ai/free/en/authors/yujie-feng/) ×2
- [Jinyang Zhang](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/)
- [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/)
- [Rihong Qiu](https://md.research.elamur.ai/free/en/authors/rihong-qiu/)
- [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/)
- [Xiao-Ming Wu](https://md.research.elamur.ai/free/en/authors/xiao-ming-wu/)

## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2

## Cited by

Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yasha-wang/cited-by/).

Updated 2 November 2026
