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Shaojun Ma

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.LG2
  • q-fin.ST1

identity via Semantic Scholar / OpenAlex

most citedPredicting Daily Trading Volume via Various Hidden States

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

q-fin.ST2021★ 2 cited

Predicting Daily Trading Volume via Various Hidden States

Shaojun Ma, Pengcheng Li

Predicting intraday trading volume plays an important role in trading alpha research. Existing methods such as rolling means(RM) and a two-states based Kalman Filtering method have…

cs.LG2021

Mean Field Game GAN

Shaojun Ma, Haomin Zhou, Hongyuan Zha

We propose a novel mean field games (MFGs) based GAN(generative adversarial network) framework. To be specific, we utilize the Hopf formula in density space to rewrite MFGs as a pr…

cs.LG2021

Learning High Dimensional Wasserstein Geodesics

Shu Liu, Shaojun Ma, Yongxin Chen +2

We propose a new formulation and learning strategy for computing the Wasserstein geodesic between two probability distributions in high dimensions. By applying the method of Lagran…

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