Judy Qiu
Computer Science · Indiana University
Cloud Computing and Resource ManagementDistributed and Parallel Computing SystemsScientific Computing and Data ManagementAdvanced Data Storage TechnologiesGraph Theory and Algorithms
Publications
80
Citations
2,391
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2001
Publication cadence
Publications per year over the last 10 years — averaging 0.0/year recently
Recent publications
- Rank Position Forecasting in Car Racing
2021
- HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency
2019
- Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
2019
- Anomaly Detection over Streaming Data: Indy500 Case Study
2019
- Generalized Sparse Matrix-Matrix Multiplication for Vector Engines and Graph Applications
2019
- SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting
2019
- A GraphBLAS Approach for Subgraph Counting
arXiv (Cornell University) · 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
- Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture
2018
- High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
arXiv (Cornell University) · 2018
- A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN
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
Publishes in
- 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
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 9, 2026.
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