From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Computer Vision and Pattern Recognition · 3 works Language and Linguistics · 3 works

🧭 Topics 3Language models & pretraining · 3 works Efficient models & compression · 1 work Vision & language · 1 work

Works by year

2020s

20261 paper 20251 paper 20241 paper

Papers

The most cited first (OpenAlex and our library).

Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding (2024 · 148 citations)
Autoregressive generation in large language models is slow. Each new token needs a full, memory-bandwidth-bound pass through the network. Speculative decoding can help, but it usually depends on a separate draft model, which costs extra GPU memory and is hard to obtain for fine-tuned models such as LLaMA-2-Chat or…
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning (2025 · 10 citations)
Video LLMs turn sampled frames into very long sequences of visual tokens. This makes decoding slow and memory-bound. Pruning tokens at prefill saves compute but discards visual detail, which can lower answer quality. SpecVLM keeps output lossless by applying speculative decoding instead. A small Vid-LLM drafts…
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference (2026 · 4 citations)
Multimodal LLMs turn every image or video frame into hundreds or thousands of tokens. As a result, the key–value (KV) cache held in GPU memory during decoding grows quickly and slows inference. Earlier compression methods only decide how much cache each token, layer or head keeps, and they apply a single strategy…

Co-authors here

6 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 118 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated 1 November 2026

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

🧑‍🔬 Huan Li

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Huan Li

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by