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researcher

Chi Zhang

4 papers hereh-index 6290 citations8 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CV1
  • cs.LG1
same name
  • Chi Zhang — 27 papers, h 22
  • Chi Zhang — 15 papers, h 20
  • Chi Zhang — 12 papers
  • Chi Zhang — 10 papers, h 7
  • Chi Zhang — 10 papers, h 14
  • Chi Zhang — 8 papers, h 14

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
20172020
most citedDark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

137 citations · 144 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 4 cited

Denoising individual bias for a fairer binary submatrix detection

Changlin Wan, Wennan Chang, Tong Zhao +2

Low rank representation of binary matrix is powerful in disentangling sparse individual-attribute associations, and has received wide applications. Existing binary matrix factoriza…

cs.AI2020★ 137 cited

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan +9

Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narr…

cs.CV2018

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

Chi Zhang, Yixin Zhu, Song-Chun Zhu

An unprecedented booming has been witnessed in the research area of artistic style transfer ever since Gatys et al. introduced the neural method. One of the remaining challenges is…

cs.AI2017★ 3 cited

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following

Siyi Li, Tianbo Liu, Chi Zhang +2

While deep reinforcement learning (RL) methods have achieved unprecedented successes in a range of challenging problems, their applicability has been mainly limited to simulation o…

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