3 papers accepted : DiTTO, a novel diffusion-based framework for generating realistic, configurable, and diverse multi-device storage traces(DAC 2025); FlexNeRFer, an energy-efficient NeRF accelerator (ISCA 2025); a diffusion-based generative-AI surrogate
3 papers accepted: Reserach on a dynamic-encoding, oversampling HD federated learning framework for mobile robots (ICRA 2025); an HD framework designed with fine-grained feature encoding and a robust training scheme
Research on efficient forward-only training for Hyperdimensional Computing, introducing SEP and IMP for better encoding adaptability and accuracy, will be presented at ICCD 2024.
Research on improving Hyperdimensional Computing with trainable encoding and adaptive training is published in ACM Transactions on Design Automation of Electronic Systems (TODAES).
Our recent collaboration with Coga Robotics on applying Hyperdimensional Computing to robotic sensorimotor controls has been accepted for presentation at the ICRA’24
Our research on developing a dynamic encoder for Hyperdimensional Computing, which significantly improves accuracy and efficiency, has been accepted for presentation at DATE’24
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