From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 8Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Computer Vision and Pattern Recognition · 2 works Language and Linguistics · 2 works Engineering · 1 work Electrical and Electronic Engineering · 1 work Hardware and Architecture · 1 work

🧭 Topics 2Efficient models & compression · 1 work Language models & pretraining · 1 work

Works by year

2020s

20241 paper 20231 paper

Papers

The most cited first (OpenAlex and our library).

SqueezeLLM: Dense-and-Sparse Quantization (2023 · 170 citations)
Running large generative LLMs is costly because the weights are huge. For single-batch generation, the authors argue that speed is limited by memory bandwidth, the so-called Memory Wall, more than by arithmetic. Shrinking the weights should therefore cut latency directly. Earlier post-training quantization methods…
LLM Inference Unveiled: Survey and Roofline Model Insights (2024 · 91 citations)
This survey targets a practical gap in research on efficient LLM inference. Many acceleration techniques exist, but there has been no unified way to reason about why they help on real hardware. The authors build their review around the Roofline model. It relates a workload's demands to a device's compute capacity and…

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.

SqueezeLLM: Dense-and-Sparse QuantizationarXiv:2306.07629Sehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 170 citations
RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetHaiping Wang et al.2023 · 139 citations
LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetRunsong Zhu et al.2021 · 58 citations

Co-authors here

11 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.

IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE/CVF International Conference on Computer Vision (ICCV)

Cited by

Papers of our library cite their works 228 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 2 November 2026

↑ back to top

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

🧑‍🔬 Zhen Dong

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Zhen Dong

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by