Predicting Protein-Ligand Docking Structure with Graph Neural Network.
J. Chem. Inf. Model., 2022
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs.
CoRR, 2021
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
Morphable Convolutional Neural Network for Biomedical Image Segmentation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks.
J. Chem. Inf. Model., 2020
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020
CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference.
Proceedings of the International Symposium on Memory Systems, 2019
A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation.
Proceedings of the 31st IEEE International System-on-Chip Conference, 2018
An ASIP for image enhancement applications in spatial domain using LISA.
Proceedings of the International Conference on Recent Trends in Information Systems, 2011