105 citations · 439 across the 24 of their papers we have counts for
11 papers · 1 filter
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Yaochen Hu, Di Niu, Jianming Yang +1
Distributed machine learning has been widely studied in the literature to scale up machine learning model training in the presence of an ever-increasing amount of data. We study di…
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems
Rui Zhu, Di Niu
Large models are prevalent in modern machine learning scenarios, including deep learning, recommender systems, etc., which can have millions or even billions of parameters. Paralle…
Android Malware Detection using Large-scale Network Representation Learning
Rui Zhu, Chenglin Li, Di Niu +2
With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, which calls for the development of advanced…
Android Malware Detection based on Factorization Machine
Chenglin Li, Keith Mills, Rui Zhu +3
As the popularity of Android smart phones has increased in recent years, so too has the number of malicious applications. Due to the potential for data theft mobile phone users fac…
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Bang Liu, Borislav Mavrin, Di Niu +1
Online real-estate information systems such as Zillow and Trulia have gained increasing popularity in recent years. One important feature offered by these systems is the online hom…
Recover Fine-Grained Spatial Data from Coarse Aggregation
Bang Liu, Borislav Mavrin, Linglong Kong +1
In this paper, we study a new type of spatial sparse recovery problem, that is to infer the fine-grained spatial distribution of certain density data in a region only based on the…
Growing Story Forest Online from Massive Breaking News
Bang Liu, Di Niu, Kunfeng Lai +2
We describe our experience of implementing a news content organization system at Tencent that discovers events from vast streams of breaking news and evolves news story structures…
Matching Natural Language Sentences with Hierarchical Sentence Factorization
Bang Liu, Ting Zhang, Fred X. Han +3
Semantic matching of natural language sentences or identifying the relationship between two sentences is a core research problem underlying many natural language tasks. Depending o…
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Rui Zhu, Di Niu, Zongpeng Li
Many machine learning models, including those with non-smooth regularizers, can be formulated as consensus optimization problems, which can be solved by the alternating direction m…
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu, Di Niu, Zongpeng Li
We study stochastic algorithms for solving nonconvex optimization problems with a convex yet possibly nonsmooth regularizer, which find wide applications in many practical machine…
Matching Article Pairs with Graphical Decomposition and Convolutions
Bang Liu, Di Niu, Haojie Wei +4
Identifying the relationship between two articles, e.g., whether two articles published from different sources describe the same breaking news, is critical to many document underst…