Xuehai Qian
Computer Science · Purdue University West Lafayette
Publications
152
Citations
4,752
Est. group size
~1
Recurring co-author estimate
Active years
19
Publishing since 2007
Xuehai Qian works on computer systems research, including techniques for training large machine learning models (such as graph neural networks and recommender systems) more efficiently across distributed hardware, hardware accelerators for cryptographic computations, and quantum computing architectures and algorithms. The work spans building software systems for scalable and memory-efficient AI training as well as hardware/software co-design for emerging computing paradigms like quantum and FPGA-based acceleration.
Publication output was higher and more variable in the earlier part of the decade (peaking around 2018 and 2020) but has declined and stabilized at a lower, steadier level in the most recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Mithril: A Scalable System for Deep GNN Training
2025
- Low-Overhead Reversible Coherence Protocol
IEEE Transactions on Dependable and Secure Computing · 2025
- Computational insights into effects of build platform temperature on track-scale thermal and residual stresses during laser powder bed fusion process
The International Journal of Advanced Manufacturing Technology · 2025
- CFP: Low-overhead Profiling-based Intra-operator Parallelism Generation by Preserving Communication-Free Structures
arXiv (Cornell University) · 2025
- FIITED: Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
IEEE Transactions on Computers · 2025
- Redox: Improving I/O Efficiency of Model Training Through File Redirection
arXiv (Cornell University) · 2025
- DawnPiper: A Memory-scablable Pipeline Parallel Training Framework
arXiv (Cornell University) · 2025
- NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2024
- Investigation on ablative process of CFRP laminates under laser irradiations
Optics & Laser Technology · 2024
- Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof
IEEE Transactions on Computers · 2024
- Guser: A GPGPU Power Stressmark Generator
2024
- Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
arXiv (Cornell University) · 2024
- 72‐2: The Research on FSR Optimization and Efficiency Improvement of Needle Placement for Mini LED Transfer Process
SID Symposium Digest of Technical Papers · 2024
- A Thermo-mechanical Investigation on Laser Ablation of Aluminum Alloy
Acta Mechanica Solida Sinica · 2023
- Hybrid Gate-Pulse Model for Variational Quantum Algorithms
2023
- arXiv (Cornell University)×39
- ACM SIGPLAN Notices×7
- IEEE Transactions on Computers×6
- IEEE Transactions on Parallel and Distributed Systems×4
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×2
- Chengming Zhang
Computer Science · Indiana University
- Jinghan Yao
Computer Science · The Ohio State University
- Hari Subramoni
Computer Science · The Ohio State University
- Aamir Shafi
Computer Science · The Ohio State University
- Lei Jiang
Computer Science · Indiana University
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 20, 2026.
Claim or correct this profile