5 citations · 10 across the 6 of their papers we have counts for
6 papers
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
Qiong Wu, Jian Li, Zhenming Liu +2
This paper revisits building machine learning algorithms that involve interactions between entities, such as those between financial assets in an actively managed portfolio, or int…
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Qiong Wu, Zhenming Liu
Large-scale interactive web services and advanced AI applications make sophisticated decisions in real-time, based on executing a massive amount of computation tasks on thousands o…
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Qiong Wu, Adam Hare, Sirui Wang +4
Existing topic modeling and text segmentation methodologies generally require large datasets for training, limiting their capabilities when only small collections of text are avail…
Equity2Vec: End-to-end Deep Learning Framework for Cross-sectional Asset Pricing
Qiong Wu, Christopher G. Brinton, Zheng Zhang +3
Pricing assets has attracted significant attention from the financial technology community. We observe that the existing solutions overlook the cross-sectional effects and not full…
Adaptive Reduced Rank Regression
Qiong Wu, Felix Ming Fai Wong, Zhenming Liu +2
We study the low rank regression problem $\my = M\mx + ε$, where $\mx$ and $\my$ are and dimensional vectors respectively. We consider the extreme high-dimensional sett…
Towards Non-Parametric Learning to Rank
Ao Liu, Qiong Wu, Zhenming Liu +1
This paper studies a stylized, yet natural, learning-to-rank problem and points out the critical incorrectness of a widely used nearest neighbor algorithm. We consider a model with…