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Yen-Chen Lin

15 papers hereh-index 162.9k citations23 works total

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

author position
  • first author5
  • middle author8
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG3
  • cs.RO3
  • cs.AI1
same name
  • Yen-Chen Lin — 7 papers, h 9
  • Yen-Chen Lin — 3 papers, h 3
  • Yen-Chen Lin — 1 paper

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
20172023
most citedTactics of Adversarial Attack on Deep Reinforcement Learning Agents

91 citations · 212 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.AI2022

Developing a Series of AI Challenges for the United States Department of the Air Force

Vijay Gadepally, Gregory Angelides, Andrei Barbu +39

Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have…

cs.CV2022★ 2 cited

Vision Transformer for NeRF-Based View Synthesis from a Single Input Image

Kai-En Lin, Lin Yen-Chen, Wei-Sheng Lai +3

Although neural radiance fields (NeRF) have shown impressive advances for novel view synthesis, most methods typically require multiple input images of the same scene with accurate…

cs.CV2022

CLA-NeRF: Category-Level Articulated Neural Radiance Field

Wei-Cheng Tseng, Hung-Ju Liao, Lin Yen-Chen +1

We propose CLA-NeRF -- a Category-Level Articulated Neural Radiance Field that can perform view synthesis, part segmentation, and articulated pose estimation. CLA-NeRF is trained a…

cs.LG2022★ 3 cited

Topological Experience Replay

Zhang-Wei Hong, Tao Chen, Yen-Chen Lin +2

State-of-the-art deep Q-learning methods update Q-values using state transition tuples sampled from the experience replay buffer. This strategy often uniformly and randomly samples…

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