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Yuandong Wang

10 papers hereh-index 12672 citations22 works total

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

author position
  • first author4
  • middle author6

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL2
  • cs.RO2
  • cs.AI1
  • cs.CV1
  • cs.SI1
same name
  • Yuandong Wang — 16 papers, h 6

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
20212026
most citedParameter-Efficient Fine-Tuning for Foundation Models

5 citations · 9 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?

Yuandong Wang, Yao Cui, Yuxin Zhao +3

Recent advances in Vision-Language Models (VLMs) have achieved impressive progress in multimodal mathematical reasoning. Yet, how much visual information truly contributes to reaso…

cs.RO2025

Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalization

Jian Deng, Yuandong Wang, Yangfu Zhu +3

Robotic manipulation systems are increasingly deployed across diverse domains. Yet existing multi-modal learning frameworks lack inherent guarantees of geometric consistency, strug…

cs.RO2025★ 1 cited

Motion Forecasting for Autonomous Vehicles: A Survey

Jianxin Shi, Jinhao Chen, Yuandong Wang +4

In recent years, the field of autonomous driving has attracted increasingly significant public interest. Accurately forecasting the future behavior of various traffic participants…

cs.CL2025★ 5 cited

Parameter-Efficient Fine-Tuning for Foundation Models

Dan Zhang, Tao Feng, Lilong Xue +3

This survey delves into the realm of Parameter-Efficient Fine-Tuning (PEFT) within the context of Foundation Models (FMs). PEFT, a cost-effective fine-tuning technique, minimizes p…

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