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researcher

Yun-Cheng Tsai

12 papers hereh-index 8298 citations22 works total

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

author position
  • sole author2
  • first author3
  • middle author3
  • last author3

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CE2
  • cs.CY2
  • cs.AI1
  • cs.CV1
  • cs.SI1
same name
  • Yun-Cheng Tsai — 14 papers, h 4
  • Yun-Cheng Tsai — 2 papers, h 3
  • Yun-Cheng Tsai — 2 papers, h 4
  • Yun-Cheng Tsai — 1 paper, h 1

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 citedEncoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks

14 citations · 39 across the 12 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021★ 1 cited

Financial Vision Based Differential Privacy Applications

Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai +1

The importance of deep learning data privacy has gained significant attention in recent years. It is probably to suffer data breaches when applying deep learning to cryptocurrency…

cs.LG2020★ 1 cited

Data Augmentation for Deep Candlestick Learner

Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen +1

To successfully build a deep learning model, it will need a large amount of labeled data. However, labeled data are hard to collect in many use cases. To tackle this problem, a bun…

cs.LG2020★ 4 cited

Explainable Deep Convolutional Candlestick Learner

Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai +1

Candlesticks are graphical representations of price movements for a given period. The traders can discovery the trend of the asset by looking at the candlestick patterns. Although…

cs.LG2019★ 1 cited

Deep Reinforcement Learning for Foreign Exchange Trading

Yun-Cheng Tsai, Chun-Chieh Wang

Reinforcement learning can interact with the environment and is suitable for applications in decision control systems. Therefore, we used the reinforcement learning method to estab…

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