Search Results for author: Yunxin Liu

Found 14 papers, 5 papers with code

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing

no code implementations22 Nov 2021 Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee

We present DAPPER (Domain AdaPtation Performance EstimatoR) that estimates the adaptation performance in a target domain with only unlabeled target data.

Domain Adaptation

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning

no code implementations13 Oct 2021 Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

In this work, we focus on unsupervised continual learning (UCL), where we learn the feature representations on an unlabelled sequence of tasks and show that reliance on annotated data is not necessary for continual learning.

Continual Learning

ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection

1 code implementation11 Jun 2021 Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu

The knowledge of a deep learning model may be transferred to a student model, leading to intellectual property infringement or vulnerability propagation.

Model Compression Transfer Learning

Dual-side Sparse Tensor Core

no code implementations20 May 2021 Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

We demonstrate the feasibility of our design with minimal changes to the existing production-scale inner-product-based Tensor Core.

App Developer Centric Trusted Execution Environment

no code implementations4 Feb 2021 Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong

ARM TrustZone is the de-facto hardware TEE implementation on mobile devices like smartphones.

Cryptography and Security

DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection

no code implementations18 Jan 2021 Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu

The core of the attack is a neural conditional branch constructed with a trigger detector and several operators and injected into the victim model as a malicious payload.

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

1 code implementation16 Dec 2020 Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan YAO

However, these deep generative models may suffer from the mode collapse issue, which significantly degrades the diversity and quality of generated results.

Font Generation

PaGraph: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning

no code implementations Proceedings of the 11th ACM Symposium on Cloud Computing 2020 Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu

Emerging graph neural networks (GNNs) have extended the successes of deep learning techniques against datasets like images and texts to more complex graph-structured data.

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data

no code implementations12 Jun 2020 Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu

Based on the data and the platform, we conduct extensive experiments to compare the performance of state-of-the-art FL algorithms under heterogeneity-aware and heterogeneity-unaware settings.

Fairness Federated Learning

Fast Hardware-Aware Neural Architecture Search

1 code implementation25 Oct 2019 Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu

Unlike previous approaches that apply search algorithms on a small, human-designed search space without considering hardware diversity, we propose HURRICANE that explores the automatic hardware-aware search over a much larger search space and a two-stage search algorithm, to efficiently generate tailored models for different types of hardware.

Neural Architecture Search

Approximate Query Service on Autonomous IoT Cameras

no code implementations2 Sep 2019 Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin

Elf is a runtime for an energy-constrained camera to continuously summarize video scenes as approximate object counts.


Video Analytics with Zero-streaming Cameras

no code implementations28 Apr 2019 Mengwei Xu, Tiantu Xu, Yunxin Liu, Felix Xiaozhu Lin

For efficiency, we advocate for these cameras to be zero streaming: capturing videos to local storage and communicating with the cloud only when analytics is requested.

DeepCache: Principled Cache for Mobile Deep Vision

1 code implementation1 Dec 2017 Mengwei Xu, Mengze Zhu, Yunxin Liu, Felix Xiaozhu Lin, Xuanzhe Liu

We present DeepCache, a principled cache design for deep learning inference in continuous mobile vision.

Video Compression

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