HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency

Anomaly Detection over Streaming Data: Indy500 case study

Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture

Jan 2019  High-Performance Massive Subgraph Counting using Pipelined Adaptive Group Communication​

Parallelizing Big Data Machine Learning ​

Scalable Query and Analysis for Social Networks: An Integrated High-Level Dataflow System with Pig and Harp

Harp-DAAL Raises Hadoop Platform to Knights Landing Height, an article on The Next Platform.

Twister4Azure is first project listed in Cloud Research Projects of Microsoft Research

Twister is listed in Microsoft’s Research Project Daytona

Real-Time Anomaly Detection from Edge to HPC-Cloud, Big Data and Extreme-Scale Computing 2 Workshop (BDEC2)

High-Performance AI: A View from Systems and Frameworks

High-Performance Big Data Computing with Harp-DAAL

Finding and counting tree-like subgraphs using MapReduce

Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce

Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets

Harp-DAAL for High Performance Big Data Computing, Intel Magazine

Editorial for Special Issue for Emerging Computational Methods for the Life Sciences Workshop 2012

Generalizing MapReduce as a Unified Cloud and HPC Runtime