◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yiheng Shen

Duke University

11 papers hereh-index 7137 citations14 works total

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

author position
  • sole author1
  • first author1
  • middle author8
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.GT7
  • cs.DS1
  • cs.MA1
  • cs.SE1
  • math.PR1
affiliations
  • Duke University
Homepage
same name
  • Yiheng Shen — 5 papers, h 1
  • Yiheng Shen — 3 papers, h 1
  • Yiheng Shen — 3 papers, h 2
  • Yiheng Shen — 2 papers, 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 citedMechanism Design for Multi-Party Machine Learning

15 citations · 22 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.GT2020

New Complexity Results on Coalitional Manipulation of Borda

Yiheng Shen, Pingzhong Tang, Yuan Deng

The Borda voting rule is a positional scoring rule for z candidates such that in each vote, the first candidate receives z−1 points, the second z−2 points and so on. The winn…

math.PR2020

A Study on the Splitting Strategy of Server Resources

Yiheng Shen

The paper is based on Noar's model of charged queues. We extend this model into multi-server systems with information about length and service rate disclosed for all the customers,…

cs.GT2020★ 4 cited

Truthful Data Acquisition via Peer Prediction

Yiling Chen, Yiheng Shen, Shuran Zheng

We consider the problem of purchasing data for machine learning or statistical estimation. The data analyst has a budget to purchase datasets from multiple data providers. She does…

cs.MA2020★ 15 cited

Mechanism Design for Multi-Party Machine Learning

Mengjing Chen, Yang Liu, Weiran Shen +3

In a multi-party machine learning system, different parties cooperate on optimizing towards better models by sharing data in a privacy-preserving way. A major challenge in learning…

◍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.