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Yonghui Yang

Yonghui Yang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language; often with Binbin Zheng, Junfeng Fang, Long Bai.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 14 · 52 works · 762 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #12665

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning (2026 · 2 citations)
    Unlearning methods for LLMs aim to erase private or copyrighted knowledge without retraining. Most of them, such as GA and NPO, push down likelihoods over every token of a response and across the whole vocabulary. This wastes compute and harms general ability. The authors propose PALU (Prefix-Aware Localized…
  2. Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation (2026)
    Large vision-language models (LVLMs) often describe things that are not in the image. Representation-editing fixes are cheaper than fine-tuning on curated data, but they tend to damage general output quality, causing repetitive or incoherent text. The authors trace this damage to two causes. First, the extracted…

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. Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYonghui Yang et al.2021 · 111 citations
  2. Joint Item Recommendation and Attribute Inference ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetLe Wu et al.2020 · 101 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

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