26 citations · 41 across the 5 of their papers we have counts for
5 papers
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Haoran Deng, Yang Yang, Jiahe Li +3
Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changi…
Neural Augmented Kalman Filtering with Bollinger Bands for Pairs Trading
Amit Milstein, Haoran Deng, Guy Revach +2
Pairs trading is a family of trading techniques that determine their policies based on monitoring the relationships between pairs of assets. A common pairs trading approach relies…
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
Jiancheng Yang, Haoran Deng, Xiaoyang Huang +2
Diagnosis and treatment of multiple pulmonary nodules are clinically important but challenging. Prior studies on nodule characterization use solitary-nodule approaches on multiple…
Evaluating and Boosting Uncertainty Quantification in Classification
Xiaoyang Huang, Jiancheng Yang, Linguo Li +3
Emergence of artificial intelligence techniques in biomedical applications urges the researchers to pay more attention on the uncertainty quantification (UQ) in machine-assisted me…
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
Yunxiang Zhang, Chenglong Zhao, Bingbing Ni +2
To address the limitations of existing magnitude-based pruning algorithms in cases where model weights or activations are of large and similar magnitude, we propose a novel perspec…