Liangzhen Lai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

GPU-based Private Information Retrieval for On-Device Machine Learning Inference.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Low-Rank+Sparse Tensor Compression for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2019

SenseHAR: a robust virtual activity sensor for smartphones and wearables.

[BibT_eX]

[DOI]

Jeya Vikranth Jeyakumar

Mani B. Srivastava

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018

Rethinking Machine Learning Development and Deployment for Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2018

Federated Learning with Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2018

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs.

[BibT_eX]

[DOI]

CoRR, 2018

Not All Ops Are Created Equal!

[BibT_eX]

[DOI]

CoRR, 2018

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Enabling deep learning at the IoT edge.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer-Aided Design, 2018

2017

System-Level Dynamic Variation Margining in Presence of Monitoring and Actuation.

[BibT_eX]

[DOI]

IEEE Embed. Syst. Lett., 2017

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Hello Edge: Keyword Spotting on Microcontrollers.

[BibT_eX]

[DOI]

CoRR, 2017

PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations.

[BibT_eX]

[DOI]

CoRR, 2017

Exploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Resiliency in dynamically power managed designs.

[BibT_eX]

[DOI]

Rob Aitken

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Multi-story power distribution networks for GPUs.

[BibT_eX]

[DOI]

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Hardware Reliability margining for the dark silicon era.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015

NSF expedition on variability-aware software: Recent results and contributions.

[BibT_eX]

[DOI]

it Inf. Technol., 2015

Evaluating and exploiting impacts of dynamic power management schemes on system reliability.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Compilers, 2015

2014

Synthesis and Analysis of Design-Dependent Ring Oscillator (DDRO) Performance Monitors.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2014

SlackProbe: A Flexible and Efficient In Situ Timing Slack Monitoring Methodology.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

BTI-Gater: An Aging-Resilient Clock Gating Methodology.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2014

Accurate and inexpensive performance monitoring for variability-aware systems.

[BibT_eX]

[DOI]