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researcher

Zhi Gao

24 papers hereh-index 12563 citations41 works total

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

author position
  • first author2
  • middle author21

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG4
  • cs.AI2
  • cs.CL1
  • cs.RO1
same name
  • Zhi Gao — 15 papers, h 8
  • Zhi Gao — 5 papers, h 17
  • Zhi Gao — 5 papers, h 9
  • Zhi Gao — 2 papers, h 12
  • Zhi Gao — 2 papers, h 3
  • Zhi Gao — 1 paper, h 3

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
20172026
most citedLearning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds

5 citations · 10 across the 23 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Beyond the Capability Boundary: Zeroth-Order Optimization for Self-Evolving LLM Agents

Bingzhen Liu, Xiaomeng Fan, Yuwei Wu +4

Self-evolving methods improve the capabilities of LLM agents by sampling trajectories from the underlying LLMs and learning from these trajectories. However, these methods struggle…

cs.LG2025

Curvature Learning for Generalization of Hyperbolic Neural Networks

Xiaomeng Fan, Yuwei Wu, Zhi Gao +2

Hyperbolic neural networks (HNNs) have demonstrated notable efficacy in representing real-world data with hierarchical structures via exploiting the geometric properties of hyperbo…

cs.LG2025

Large-Scale Riemannian Meta-Optimization via Subspace Adaptation

Peilin Yu, Yuwei Wu, Zhi Gao +2

Riemannian meta-optimization provides a promising approach to solving non-linear constrained optimization problems, which trains neural networks as optimizers to perform optimizati…

cs.LG2021★ 5 cited

A Hyperbolic-to-Hyperbolic Graph Convolutional Network

Jindou Dai, Yuwei Wu, Zhi Gao +1

Hyperbolic graph convolutional networks (GCNs) demonstrate powerful representation ability to model graphs with hierarchical structure. Existing hyperbolic GCNs resort to tangent s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.