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Zhenyi Wang

Department of Computer science and Engineering, University at Buffalo

12 papers hereh-index 161.2k citations40 works total

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

author position
  • first author6
  • middle author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV3
  • eess.SP2
  • cs.CL1
affiliations
  • Department of Computer science and Engineering, University at Buffalo
same name
  • Zhenyi Wang — 12 papers, h 11
  • Zhenyi Wang — 8 papers, h 5
  • Zhenyi Wang — 3 papers, h 7
  • Zhenyi Wang — 2 papers, h 4
  • Zhenyi Wang — 1 paper, h 6
  • Zhenyi Wang — 1 paper, h 0

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
20182023
most citedTowards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

23 citations · 58 across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CV2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions

Zhenyi Wang, Li Shen, Le Fang +4

The paradigm of machine intelligence moves from purely supervised learning to a more practical scenario when many loosely related unlabeled data are available and labeled data is s…

cs.LG2022★ 10 cited

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution

Zhenyi Wang, Li Shen, Le Fang +3

Task-free continual learning (CL) aims to learn a non-stationary data stream without explicit task definitions and not forget previous knowledge. The widely adopted memory replay a…

eess.SP2022★ 1 cited

Uncertainty Detection and Reduction in Neural Decoding of EEG Signals

Tiehang Duan, Zhenyi Wang, Sheng Liu +2

EEG decoding systems based on deep neural networks have been widely used in decision making of brain computer interfaces (BCI). Their predictions, however, can be unreliable given…

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