Judy Qiu
Computer Science · Indiana University
Publications
80
Citations
2,391
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2001
Judy Qiu works in high-performance computing and large-scale data analytics, focusing on making machine learning and data-processing tasks run efficiently across many processors and computer clusters. Much of the research develops software libraries and techniques (for example, for graph analysis and gradient boosting) that speed up big-data computations. Applications include analyzing streaming data, such as anomaly detection and forecasting in car racing.
Publication activity peaked around 2019 and has slowed considerably in the years since, with few or no listed publications in the most recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~10 · 11% small-team papers (≤3 authors) · across 4 venues
- Rank Position Forecasting in Car Racing
2021
- Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
2019
- HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency
2019
- Generalized Sparse Matrix-Matrix Multiplication for Vector Engines and Graph Applications
2019
- SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting
2019
- Performance of Portfolios Based on the Expected Utility-Entropy Fund Rating Approach
2019
- Learning Everywhere: Pervasive Machine Learning for Effective\n High-Performance Computation
arXiv (Cornell University) · 2019
- Contributions to High-Performance Big Data Computing
Advances in parallel computing · 2019
- Anomaly Detection over Streaming Data: Indy500 Case Study
2019
- A GraphBLAS Approach for Subgraph Counting
arXiv (Cornell University) · 2019
- A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN
2018
- High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
arXiv (Cornell University) · 2018
- Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture
2018
- Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters
2017
- Finding and Counting Tree-Like Subgraphs Using MapReduce
IEEE Transactions on Multi-Scale Computing Systems · 2017
- arXiv (Cornell University)×5
- PeerJ Computer Science×1
- Lecture notes in computer science×1
- Advances in parallel computing×1
- IEEE Transactions on Multi-Scale Computing Systems×1
- Supun Kamburugamuve
Computer Science · Indiana University
- Vibhatha Abeykoon
Computer Science · Indiana University
- Niranda Perera
Computer Science · Indiana University
- Chathura Widanage
Computer Science · Indiana University
- Irene Zhang
Computer Science · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 27, 2026.
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