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.

📚 Shelves 5Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 3Efficient models & compression · 1 work Language models & pretraining · 1 work Reasoning · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure (2025 · 32 citations)
Speculative decoding speeds up LLM inference without changing outputs: a cheap draft model proposes several tokens, and the large target model checks them all in one parallel pass.
Efficient Reasoning for LLMs through Speculative Chain-of-Thought (2026 · 6 citations)
Reasoning LLMs such as Deepseek-R1 are slow because large models produce very long chains of thought (CoT).

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

Updated 30 October 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jikai-wang/

🧑‍🔬 Jikai Wang

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Jikai Wang

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by