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Liangzhen Lai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

21

Venues

14

Active years

2013–2025

Best venue rank

A*

Where they publish

Papers

21 indexed papers, newest first.

YearVenueTitleAuthors
2025NAACLBreaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions.Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra
2024ACLLayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A. Aly, Beidi Chen, Carole-Jean Wu
2024ASPLOSGPU-based Private Information Retrieval for On-Device Machine Learning Inference.Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
2024ICASSPFolding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition.Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
2024ICMLMobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra
2023ASPLOSDREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
2023DACEfficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network.Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang
2022CVPRMulti-Scale High-Resolution Vision Transformer for Semantic Segmentation.Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2021HPCAHeterogeneous Dataflow Accelerators for Multi-DNN Workloads.Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
2020DACCo-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2019SENSYSSenseHAR: a robust virtual activity sensor for smartphones and wearables.Jeya Vikranth Jeyakumar, Liangzhen Lai, Naveen Suda, Mani B. Srivastava
2018ICCADEnabling deep learning at the IoT edge.Liangzhen Lai, Naveen Suda
2018ISCABit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh
2017DACCross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack.Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
2017DATEExploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation.Vikas Chandra, Liangzhen Lai
2016ASPDACHardware Reliability margining for the dark silicon era.Liangzhen Lai, Puneet Gupta
2016DATEMulti-story power distribution networks for GPUs.Qixiang Zhang, Liangzhen Lai, Mark Gottscho, Puneet Gupta
2016ICCADResiliency in dynamically power managed designs.Liangzhen Lai, Vikas Chandra, Rob Aitken
2015CASESEvaluating and exploiting impacts of dynamic power management schemes on system reliability.Liangzhen Lai, Vikas Chandra, Puneet Gupta
2014ASPDACAccurate and inexpensive performance monitoring for variability-aware systems.Liangzhen Lai, Puneet Gupta
2013DATESlackProbe: a low overhead in situ on-line timing slack monitoring methodology.Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta