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Algorithm/Software
FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference
Chenqi Lin
,
Tianshi Xu
,
Zebin Yang
,
Meng Li
,
Runsheng Wang
,
Ru Huang
Paper
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
A network–protocol co-optimization framework for reducing the communication overhead of secure private inference.
Wenxuan Zeng
,
Meng Li
,
Haichuan Yang
,
Wen-Jie Lu
,
Runsheng Wang
,
Ru Huang
Paper
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
Tianshi Xu
,
Meng Li
,
Runsheng Wang
,
Ru Huang
Paper
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Shuzhang Zhong
,
Meng Li
,
Yun (Eric) Liang
,
Runsheng Wang
,
Ru Huang
Paper
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
Wenxuan Zeng
,
Meng Li
,
Wenjie Xiong
,
Tong Tong
,
Wen-Jie Lu
,
Jin Tan
,
Runsheng Wang
,
Ru Huang
Paper
AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing
Zuodong Zhang
,
Zizheng Guo
,
Yibo Lin
,
Meng Li
,
Runsheng Wang
,
Ru Huang
Paper
BiT: Robustly Binarized Multi-distilled Transformer
Zechun Liu
,
Barlas Oguz
,
Aasish Pappu
,
Lin Xiao
,
Scott Yih
,
Meng Li
,
Raghuraman Krishnamoorthi
,
Yashar Mehdad
Paper
Depth Shrink: Empowering Hardware-Friendly Shallow Neural Networks
Yonggan Fu
,
Haichuan Yang
,
Jiayi Yuan
,
Meng Li
,
Raghuraman Krishnamoorthi
,
Vikas Chandra
,
Yingyan Lin
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
From wearables to powerful smart devices, modern automatic speech recognition (ASR) models run on a variety of edge devices with …
Haichuan Yang
,
Yuan Shangguan
,
Dilin Wang
,
Meng Li
,
Pierce Chuang
,
Xiaohui Zhang
,
Ganesh Venkatesh
,
Ozlem Kalinli
,
Vikas Chandra
Paper
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Vision Transformers (ViTs) have emerged with superior performance on computer vision tasks compared to convolutional neural network …
Jiaqi Gu
,
Hyoukjun Kwon
,
Dilin Wang
,
Wei Ye
,
Meng Li
,
Yu-Hsin Chen
,
Liangzhen Lai
,
Vikas Chandra
,
David Pan
Paper
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