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Yan Huang

9 papers hereh-index 441 citations18 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • math.OC3
  • cs.RO2
  • cs.DC1
same name
  • Yan Huang — 17 papers, h 4
  • Yan Huang — 15 papers, h 14
  • Yan Huang — 5 papers, h 1
  • Yan Huang — 5 papers, h 2
  • Yan Huang — 4 papers, h 0
  • Yan Huang — 4 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

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2026

Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking

Yan Huang, Jinming Xu, Li Chai +2

This paper addresses distributed stochastic optimization problems under non-i.i.d. data, focusing on the inherent trade-offs between communication and computational efficiency. To…

math.OC2025

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization

Yan Huang, Jinming Xu, Jiming Chen +1

This paper studies the distributed minimax optimization problem over networks. To enhance convergence performance, we propose a distributed optimistic gradient tracking method, ter…

math.OC2025

Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis

Youcheng Niu, Jinming Xu, Ying Sun +2

This paper consider solving a class of nonconvex-strongly-convex distributed stochastic bilevel optimization (DSBO) problems with personalized inner-level objectives. Most existing…

math.OC2024

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

Yan Huang, Xiang Li, Yipeng Shen +2

In this paper, we show that applying adaptive methods directly to distributed minimax problems can result in non-convergence due to inconsistency in locally computed adaptive steps…

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