◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kai Han

32 papers hereh-index 3816.6k citations69 works total

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

author position
  • first author5
  • middle author16
  • last author3

Across the 24 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CV27
  • cs.LG4
  • cs.CL1
same name
  • Kai Han — 51 papers, h 36
  • Kai Han — 29 papers, h 15
  • Kai Han — 12 papers, h 3
  • Kai Han — 10 papers, h 5
  • Kai Han — 9 papers
  • Kai Han — 7 papers, h 2

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
20192026
most citedGhostNetV2: Enhance Cheap Operation with Long-Range Attention

278 citations · 466 across the 17 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

An Empirical Study of World Model Quantization

Zhongqian Fu, Tianyi Zhao, Kai Han +3

World models learn an internal representation of environment dynamics, enabling agents to simulate and reason about future states within a compact latent space for tasks such as pl…

cs.LG2021★ 22 cited

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence

Yunhe Wang, Mingqiang Huang, Kai Han +4

Convolutional neural networks (CNN) have been widely used for boosting the performance of many machine intelligence tasks. However, the CNN models are usually computationally inten…

cs.LG2019★ 23 cited

Positive-Unlabeled Compression on the Cloud

Yixing Xu, Yunhe Wang, Hanting Chen +4

Many attempts have been done to extend the great success of convolutional neural networks (CNNs) achieved on high-end GPU servers to portable devices such as smart phones. Providin…

cs.LG2019

Searching for Accurate Binary Neural Architectures

Mingzhu Shen, Kai Han, Chunjing Xu +1

Binary neural networks have attracted tremendous attention due to the efficiency for deploying them on mobile devices. Since the weak expression ability of binary weights and featu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.