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Yichao Fu

Yichao Fu has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Hao Zhang, Ion Gabriel Stoica, Peter D. Bailis.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 5 · 23 works · 60 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 207 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6756

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

🎓Zhejiang UniversityHangzhou · China2023–2026 · 10 paperscurrent🎓University of Hong KongPok Fu Lam · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHardware and Architecture · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Break the Sequential Dependency of LLM Inference Using Lookahead Decoding (2024 · 114 citations)
    Generating text with LLMs one token at a time is slow. Each step is limited by memory bandwidth, so most of the GPU's compute sits idle. Speculative decoding helps, but it needs a draft model, which is hard to train and often fails to transfer across base models or datasets. The authors propose Lookahead Decoding…
  2. Deep Think with Confidence (2025 · 61 citations)
    Parallel reasoning with self-consistency (sampling many chains of thought and taking a majority vote) improves LLM accuracy, but it is costly and its gains flatten as more traces are added.

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. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  2. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
  3. Efficient LLM Scheduling by Learning to Rank ↗neural information processing systems · no summary yetYichao Fu et al.2024 · 56 citations

 Co-authors here

5 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 207 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

Updated

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