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researcher

Jun Wang

7 papers hereh-index 381 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.PF2
  • cs.AI1
  • cs.CL1
  • cs.LG1
same name
  • Jun Wang — 64 papers, h 35
  • Jun Wang — 55 papers, h 47
  • Jun Wang — 27 papers, h 12
  • Jun Wang — 20 papers, h 4
  • Jun Wang — 18 papers, h 11
  • Jun Wang — 17 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation

Huadong Tang, Youpeng Zhao, Yan Huang +3

It is widely agreed that open-vocabulary-based approaches outperform classical closed-set training solutions for recognizing unseen objects in images for semantic segmentation. Exi…

cs.PF2024

ALISE: Accelerating Large Language Model Serving with Speculative Scheduling

Youpeng Zhao, Jun Wang

Large Language Models (LLMs) represent a revolutionary advancement in the contemporary landscape of artificial general intelligence (AGI). As exemplified by ChatGPT, LLM-based appl…

cs.AI2024★ 1 cited

ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching

Youpeng Zhao, Di Wu, Jun Wang

The Transformer architecture has significantly advanced natural language processing (NLP) and has been foundational in developing large language models (LLMs) such as LLaMA and OPT…

cs.LG2024

Merino: Entropy-driven Design for Generative Language Models on IoT Devices

Youpeng Zhao, Ming Lin, Huadong Tang +2

Generative Large Language Models (LLMs) stand as a revolutionary advancement in the modern era of artificial intelligence (AI). However, scaling down LLMs for resource-constrained…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.