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Fang Chen

13 papers hereh-index 262.3k citations113 works total

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

author position
  • middle author2
  • last author11

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.SI2
  • cs.AI1
  • cs.CY1
  • cs.NE1
  • cs.RO1
same name
  • Fang Chen — 21 papers, h 16
  • Fang Chen — 9 papers, h 20
  • Fang Chen — 8 papers, h 4
  • Fang Chen — 8 papers, h 8
  • Fang Chen — 7 papers, h 3
  • Fang Chen — 5 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
20202024
most citedEthical ChatGPT: Concerns, Challenges, and Commandments

97 citations · 191 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.IV2023

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks

Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6

Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…

cs.AI2023★ 97 cited

Ethical ChatGPT: Concerns, Challenges, and Commandments

Jianlong Zhou, Heimo Müller, Andreas Holzinger +1

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such…

cs.NE2023

Genetic Imitation Learning by Reward Extrapolation

Boyuan Zheng, Jianlong Zhou, Fang Chen

Imitation learning demonstrates remarkable performance in various domains. However, imitation learning is also constrained by many prerequisites. The research community has done in…

cs.LG2023

Explaining Imitation Learning through Frames

Boyuan Zheng, Jianlong Zhou, Chunjie Liu +2

As one of the prevalent methods to achieve automation systems, Imitation Learning (IL) presents a promising performance in a wide range of domains. However, despite the considerabl…

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