◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhihao Wen

4 papers hereh-index 351 citations7 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.LG1
same name
  • Zhihao Wen — 8 papers, h 4
  • Zhihao Wen — 4 papers
  • Zhihao Wen — 2 papers, h 1
  • Zhihao Wen — 1 paper, h 0

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

most citedA Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering

Zhihao Wen, Wenkang Wei, Yuan Fang +4

Knowledge-based Visual Question Answering (KVQA) requires models to ground entities in images and reason over factual knowledge. Recent work has introduced its implicit-knowledge v…

cs.AI2024★ 2 cited

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Zhihao Wen, Yuan Fang, Pengcheng Wei +3

Predicting Remaining Useful Life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a c…

cs.CL2024

SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning

Zhihao Wen, Jie Zhang, Yuan Fang

Fine-tuning all parameters of large language models (LLMs) necessitates substantial computational power and extended time. Latest advancements in parameter-efficient fine-tuning (P…

cs.LG2024★ 4 cited

A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning

Xingtong Yu, Yuan Fang, Zemin Liu +5

Graph representation learning, a critical step in graph-centric tasks, has seen significant advancements. Earlier techniques often operate in an end-to-end setting, which heavily r…

◍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.