Xin He
Computer Science · University of Michigan
Publications
61
Citations
624
Est. group size
~1
Recurring co-author estimate
Active years
24
Publishing since 2002
Typically publishes in teams of ~5 · 14% small-team papers (≤3 authors) · across 25 venues
- DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication
2025
- YOLOv7-SPD3: A Small Target Detection Algorithm for Multi-Rotor UAV Based on Improved YOLOv7
Lecture notes in electrical engineering · 2025
- Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce
arXiv (Cornell University) · 2025
- Spatial correlation learning based on graph neural network for medium-term wind power forecasting
Energy · 2024
- ONE-SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference
2024
- Lithium Ion Transport Properties in Carbonate Electrolytes under Electric Field Coupling
2024
- ERMN: An enhanced meta-learning approach for state of health estimation of lithium-ion batteries
Journal of Energy Storage · 2023
- Ermn: An Enhanced Meta-Learning Approach for State of Health Estimation of Lithium-Ion Batteries
SSRN Electronic Journal · 2023
- Network and Parallel Computing
Lecture notes in computer science · 2021
- System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System
ACM Transactions on Architecture and Code Optimization · 2021
- Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2020
- Efficient Latency Bound Analysis for Data Chains of Real-Time Tasks in Multiprocessor Systems
2020
- NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2019
- Restoration Method of a Blurred Star Image for a Star Sensor Under Dynamic Conditions
Sensors · 2019
- A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks
IEEE Design and Test · 2019
- Lecture notes in computer science×3
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×2
- Optik×2
- Sensors×2
- Proceedings of the International Symposium on Low Power Electronics and Design×2
- Krisztián Flautner
Computer Science · University of Michigan
- T. N. Vijaykumar
Computer Science · Purdue University West Lafayette
- Trevor Mudge
Computer Science · University of Michigan
- Reetuparna Das
Computer Science · University of Michigan
- Akash Kumar
Computer Science · Purdue University West Lafayette
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 25, 2026.
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