◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jie Ding

47 papers hereh-index 142k citations78 works total

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

author position
  • first author8
  • middle author28
  • last author9

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • stat.ME7
  • stat.ML7
  • cs.IT3
  • cs.CR2
  • cs.CV2
same name
  • Jie Ding — 10 papers, h 17
  • Jie Ding — 10 papers, h 7
  • Jie Ding — 10 papers, h 6
  • Jie Ding — 8 papers, h 6
  • Jie Ding — 7 papers, h 7
  • Jie Ding — 7 papers, h 9

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
20152024
most citedModel Selection Techniques -- An Overview

395 citations · 969 across the 46 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation

Qi Le, Enmao Diao, Xinran Wang +3

Federated Learning (FL) is a collaborative machine learning framework that allows multiple users to train models utilizing their local data in a distributed manner. However, consid…

cs.LG2024

Base Models for Parabolic Partial Differential Equations

Xingzi Xu, Ali Hasan, Jie Ding +1

Parabolic partial differential equations (PDEs) appear in many disciplines to model the evolution of various mathematical objects, such as probability flows, value functions in con…

stat.ME2024★ 1 cited

Robust Score-Based Quickest Change Detection

Sean Moushegian, Suya Wu, Enmao Diao +3

Methods in the field of quickest change detection rapidly detect in real-time a change in the data-generating distribution of an online data stream. Existing methods have been able…

cs.LG2024★ 1 cited

ColA: Collaborative Adaptation with Gradient Learning

Enmao Diao, Qi Le, Suya Wu +4

A primary function of back-propagation is to compute both the gradient of hidden representations and parameters for optimization with gradient descent. Training large models requir…

◍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.