◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yuhang Yao

20 papers hereh-index 9355 citations36 works total

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

author position
  • first author16
  • middle author4

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.IT13
  • cs.LG4
  • quant-ph3
same name
  • Yuhang Yao — 15 papers, h 6
  • Yuhang Yao — 6 papers, h 3
  • Yuhang Yao — 3 papers, h 7
  • Yuhang Yao — 2 papers, h 2
  • Yuhang Yao — 1 paper, h 4
  • Yuhang Yao — 1 paper, h 1

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
20202026
most citedFedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

37 citations · 69 across the 20 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022

FedRule: Federated Rule Recommendation System with Graph Neural Networks

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng +3

Much of the value that IoT (Internet-of-Things) devices bring to ``smart'' homes lies in their ability to automatically trigger other devices' actions: for example, a smart camera…

cs.IT2022★ 6 cited

On the Generic Capacity of K-User Symmetric Linear Computation Broadcast

Yuhang Yao, Syed A. Jafar

Linear computation broadcast (LCBC) refers to a setting with d dimensional data stored at a central server, where K users, each with some prior linear side-information, wish to…

cs.IT2022★ 6 cited

The Capacity of 3 User Linear Computation Broadcast

Yuhang Yao, Syed A. Jafar

The K User Linear Computation Broadcast (LCBC) problem is comprised of d dimensional data (from Fq​), that is fully available to a central server, and K users, who…

cs.LG2022

Faithful Explanations for Deep Graph Models

Zifan Wang, Yuhang Yao, Chaoran Zhang +5

This paper studies faithful explanations for Graph Neural Networks (GNNs). First, we provide a new and general method for formally characterizing the faithfulness of explanations f…

◍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.