Liangzhen Lai

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Keyword Spotting

Private Information Retrieval

Dynamic Power Management

Top Venues

Publications

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
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. CoRR (2024)
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
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. CoRR (2024)
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
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) (2024)
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
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. ACL (1) (2024)
Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. CoRR (2024)
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. ICASSP (2024)
Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra
Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition. CoRR (2024)
Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang
Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. DAC (2023)
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. CoRR (2023)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. ASPLOS (4) (2023)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. CoRR (2022)
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR (2022)
Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR (2021)
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR (2021)
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA (2021)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC (2020)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR (2020)
Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. CoRR (2020)
Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. CoRR (2019)
Jeya Vikranth Jeyakumar, Liangzhen Lai, Naveen Suda, Mani B. Srivastava
SenseHAR: a robust virtual activity sensor for smartphones and wearables. SenSys (2019)
Liangzhen Lai, Naveen Suda
Enabling deep learning at the IoT edge. ICCAD (2018)
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. ISCA (2018)
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra
Federated Learning with Non-IID Data. CoRR (2018)
Liangzhen Lai, Naveen Suda
Rethinking Machine Learning Development and Deployment for Edge Devices. CoRR (2018)
Liangzhen Lai, Naveen Suda, Vikas Chandra
Not All Ops Are Created Equal! CoRR (2018)
Liangzhen Lai, Naveen Suda, Vikas Chandra
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs. CoRR (2018)
Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. DAC (2017)
Vikas Chandra, Liangzhen Lai
Exploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation. DATE (2017)
Liangzhen Lai, Naveen Suda, Vikas Chandra
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations. CoRR (2017)
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks. CoRR (2017)
Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra
Hello Edge: Keyword Spotting on Microcontrollers. CoRR (2017)
Liangzhen Lai, Puneet Gupta
System-Level Dynamic Variation Margining in Presence of Monitoring and Actuation. IEEE Embed. Syst. Lett. 9 (3) (2017)
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control. CoRR (2017)
Liangzhen Lai, Puneet Gupta
Hardware Reliability margining for the dark silicon era. ASP-DAC (2016)
Liangzhen Lai, Vikas Chandra, Rob Aitken
Resiliency in dynamically power managed designs. ICCAD (2016)
Qixiang Zhang, Liangzhen Lai, Mark Gottscho, Puneet Gupta
Multi-story power distribution networks for GPUs. DATE (2016)
Lucas Francisco Wanner, Liangzhen Lai, Abbas Rahimi, Mark Gottscho, Pietro Mercati, Chu-Hsiang Huang, Frederic Sala, Yuvraj Agarwal, Lara Dolecek, Nikil D. Dutt, Puneet Gupta, Rajesh K. Gupta, Ranjit Jhala, Rakesh Kumar, Sorin Lerner, Subhasish Mitra, Alexandru Nicolau, Tajana Simunic Rosing, Mani B. Srivastava, Steven Swanson, Dennis Sylvester, Yuanyuan Zhou
NSF expedition on variability-aware software: Recent results and contributions. it Inf. Technol. 57 (3) (2015)
Liangzhen Lai, Vikas Chandra, Puneet Gupta
Evaluating and exploiting impacts of dynamic power management schemes on system reliability. CASES (2015)
Liangzhen Lai, Puneet Gupta
Accurate and inexpensive performance monitoring for variability-aware systems. ASP-DAC (2014)
Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta
BTI-Gater: An Aging-Resilient Clock Gating Methodology. IEEE J. Emerg. Sel. Topics Circuits Syst. 4 (2) (2014)
Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta
SlackProbe: A Flexible and Efficient In Situ Timing Slack Monitoring Methodology. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33 (8) (2014)
Tuck-Boon Chan, Puneet Gupta, Andrew B. Kahng, Liangzhen Lai
Synthesis and Analysis of Design-Dependent Ring Oscillator (DDRO) Performance Monitors. IEEE Trans. Very Large Scale Integr. Syst. 22 (10) (2014)
Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta
SlackProbe: a low overhead in situ on-line timing slack monitoring methodology. DATE (2013)
Lucas Francisco Wanner, Salma Elmalaki, Liangzhen Lai, Puneet Gupta, Mani B. Srivastava
VarEMU: An emulation testbed for variability-aware software. CODES+ISSS (2013)
Tuck-Boon Chan, Puneet Gupta, Andrew B. Kahng, Liangzhen Lai
DDRO: A novel performance monitoring methodology based on design-dependent ring oscillators. ISQED (2012)