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Yanchao Yang

9 papers hereh-index 5303 citations27 works total

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

author position
  • middle author2
  • last author7

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

fields
  • cs.RO4
  • cs.CV3
  • cs.IT1
  • cs.LG1
same name
  • Yanchao Yang — 13 papers, h 10
  • Yanchao Yang — 13 papers, h 7
  • Yanchao Yang — 6 papers, h 5
  • Yanchao Yang — 4 papers, h 3
  • Yanchao Yang — 3 papers, h 2
  • Yanchao Yang — 2 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

activity
20232026
most citedText2Reward: Reward Shaping with Language Models for Reinforcement Learning

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

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.RO2025

HiMaCon: Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

Ruizhe Liu, Pei Zhou, Qian Luo +4

Effective generalization in robotic manipulation requires representations that capture invariant patterns of interaction across environments and tasks. We present a self-supervised…

cs.CV2025

Mutual Information guided Visual Contrastive Learning

Hanyang Chen, Yanchao Yang

Representation learning methods utilizing the InfoNCE loss have demonstrated considerable capacity in reducing human annotation effort by training invariant neural feature extracto…

cs.CV2025

Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Anupam Pani, Yanchao Yang

Eye gaze offers valuable cues about attention, short-term intent, and future actions, making it a powerful signal for modeling egocentric behavior. In this work, we propose a gaze-…

cs.RO2025

HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation

Li Sun, Jiefeng Wu, Feng Chen +2

Effective policy learning for robotic manipulation requires scene representations that selectively capture task-relevant environmental features. Current approaches typically employ…

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