Welcome to Scalable Energy-Efficient Computing Systems (SCALE) Laboratory

Recent News:

• 2025/07 New NSF grant to support research for Multi-Task Learning on Augmented Reality systems.
• 2025/06 Best paper award at IEEE International Conference on LLM-Aided Design
• 2025/05 Congratulations to Austin Funk for successfully completing his B.Sc. Honors thesis
• 2024/10: News article on our work on PoliTune
• 2024/10: Congratulations to Ahmed Agiza for successfully completing his Ph.D. thesis
• 2024/09: Congratulations to Jingxiao Ma for successfully completing his Ph.D. thesis
• 2024/07: new NSF grant to support reseearch for ML-powered EDA methods

Recent Papers:

• CPVR ‘24 – MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
• CVPR ‘24 – PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
• ISLPED ‘23 – WeNet: Configurable Neural Network with Dynamic Weight-Enabling for Efficient Inference
• Annals of OR ‘23 – Automatic MILP Solver Configuration by Learning Problem Similarities
• Nature Communications – Digital Circuits and Neural Networks based on Acid-Base Chemistry implemented by Robotic Fluid Handling

Research Themes::

• HW/SW Co-Design for AI
• Energy-Efficient and Sustainable Computing
• Machine Learning for Combinatorial Optimization and EDA
• AI and Social Sciences
• Molecular Computing

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