24 citations · 93 across the 25 of their papers we have counts for
11 papers · 1 filter
Angular Embedding: A New Angular Robust Principal Component Analysis
Shenglan Liu, Yang Yu
As a widely used method in machine learning, principal component analysis (PCA) shows excellent properties for dimensionality reduction. It is a serious problem that PCA is sensiti…
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chaochao Yan, Qianggang Ding, Peilin Zhao +4
Retrosynthesis is the process of recursively decomposing target molecules into available building blocks. It plays an important role in solving problems in organic synthesis planni…
Error Bounds of Imitating Policies and Environments
Tian Xu, Ziniu Li, Yang Yu
Imitation learning trains a policy by mimicking expert demonstrations. Various imitation methods were proposed and empirically evaluated, meanwhile, their theoretical understanding…
TurboTransformers: An Efficient GPU Serving System For Transformer Models
Jiarui Fang, Yang Yu, Chengduo Zhao +1
The transformer is the most critical algorithm innovation of the Nature Language Processing (NLP) field in recent years. Unlike the Recurrent Neural Network (RNN) models, Transform…
Reinforced Epidemic Control: Saving Both Lives and Economy
Sirui Song, Zefang Zong, Yong Li +2
Saving lives or economy is a dilemma for epidemic control in most cities while smart-tracing technology raises people's privacy concerns. In this paper, we propose a solution for t…
Local Neighbor Propagation Embedding
Shenglan Liu, Yang Yu
Manifold Learning occupies a vital role in the field of nonlinear dimensionality reduction and its ideas also serve for other relevant methods. Graph-based methods such as Graph Co…