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X. Kong

20 papers hereh-index 415.7k citations293 works total

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

author position
  • first author8
  • middle author8
  • last author3

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cond-mat.mtrl-sci5
  • cond-mat.supr-con2
  • cs.CV2
  • cond-mat.mes-hall1
  • cs.SI1
same name
  • X. Kong — 134 papers, h 29
  • X. Kong — 48 papers, h 20
  • X. Kong — 22 papers, h 11
  • X. Kong — 20 papers, h 15
  • X. Kong — 14 papers, h 12
  • X. Kong — 12 papers, h 23

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
20122022
most citedRandom Walks: A Review of Algorithms and Applications

287 citations · 440 across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cond-mat.mtrl-sci2019★ 1 cited

Characterization of L21 order in Co2FeSi thin films on GaAs

B Jenichen, T Hentschel, J Herfort +3

Co2FeSi/GaAs(110) and Co2FeSi/GaAs(-1-1-1)B hybrid structures were grown by molecular-beam epitaxy (MBE) and characterized by transmission electron microscopy (TEM) and X-ray diffr…

cond-mat.mtrl-sci2019★ 1 cited

Structural properties of Co2​TiSi films on GaAs(001)

B Jenichen, J Herfort, M Hanke +6

Co2​TiSi films were grown by molecular beam epitaxy on GaAs(001) and analyzed using reflection high-energy electron diffraction, and electron microscopy. In addition, X-ray dif…

cs.CL2019★ 8 cited

Generalized Data Augmentation for Low-Resource Translation

Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos +1

Translation to or from low-resource languages LRLs poses challenges for machine translation in terms of both adequacy and fluency. Data augmentation utilizing large amounts of mono…

cs.CL2019★ 20 cited

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

Xiang Kong, Bohan Li, Graham Neubig +2

In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but a…

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