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Dong-sheng Li

21 papers hereh-index 294.8k citations173 works total

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

author position
  • middle author16
  • last author5

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV5
  • cs.LG4
  • math.OC4
  • cs.DC1
  • cs.NI1
same name
  • Dong-Sheng Li — 3 papers, h 2
  • Dong-Sheng Li — 1 paper, h 0
  • Dong-Sheng Li — 1 paper

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
20182021
most citedGraph Pooling via Coarsened Graph Infomax

50 citations · 132 across the 14 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2019★ 7 cited

General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme

Tao Sun, Yuejiao Sun, Dongsheng Li +1

The incremental aggregated gradient algorithm is popular in network optimization and machine learning research. However, the current convergence results require the objective funct…

math.OC2019★ 2 cited

Heavy-ball Algorithms Always Escape Saddle Points

Tao Sun, Dongsheng Li, Zhe Quan +3

Nonconvex optimization algorithms with random initialization have attracted increasing attention recently. It has been showed that many first-order methods always avoid saddle poin…

math.OC2019★ 1 cited

Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring

Tao Sun, Dongsheng Li, Hao Jiang +1

In this paper, we consider a class of nonconvex problems with linear constraints appearing frequently in the area of image processing. We solve this problem by the penalty method a…

math.OC2018

Non-ergodic Convergence Analysis of Heavy-Ball Algorithms

Tao Sun, Penghang Yin, Dongsheng Li +3

In this paper, we revisit the convergence of the Heavy-ball method, and present improved convergence complexity results in the convex setting. We provide the first non-ergodic O(1/…

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