Search Results for author: Yunhao Liu

Found 9 papers, 4 papers with code

RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion

1 code implementation14 Apr 2024 Guoxuan Chi, Zheng Yang, Chenshu Wu, Jingao Xu, Yuchong Gao, Yunhao Liu, Tony Xiao Han

In this work, inspired by the stellar achievements of the diffusion model in CV and NLP, we adapt it to the RF domain and propose RF-Diffusion.

Time Series

Effective Adapter for Face Recognition in the Wild

no code implementations4 Dec 2023 Yunhao Liu, Yu-Ju Tsai, Kelvin C. K. Chan, Xiangtai Li, Lu Qi, Ming-Hsuan Yang

Traditional heuristic approaches-either training models directly on these degraded images or their enhanced counterparts using face restoration techniques-have proven ineffective, primarily due to the degradation of facial features and the discrepancy in image domains.

Face Recognition

AutoDroid: LLM-powered Task Automation in Android

no code implementations29 Aug 2023 Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones.

Language Modelling

NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation

1 code implementation20 Apr 2023 Jialuo Du, Yidong Ren, Mi Zhang, Yunhao Liu, Zhichao Cao

The dataset shows that NELoRa can achieve 1. 84-2. 35 dB SNR gain over the standard LoRa decoder.

DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator

1 code implementation24 Oct 2021 Sirui Chen, Yunhao Liu, Jialong Li, Shang Wen Yao, Tingxiang Fan, Jia Pan

We propose DiffSRL, a dynamic state representation learning pipeline utilizing differentiable simulation that can embed complex dynamics models as part of the end-to-end training.

Deformable Object Manipulation Motion Planning +1

Trustworthy AI: A Computational Perspective

no code implementations12 Jul 2021 Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

In the past few decades, artificial intelligence (AI) technology has experienced swift developments, changing everyone's daily life and profoundly altering the course of human society.

Fairness

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

no code implementations21 Jan 2020 Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu

In this study, we present a survey of the state-of-the-art deep learning methods for sensor-based human activity recognition.

Human Activity Recognition

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network

2 code implementations16 Nov 2017 Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kai-Xuan Chen

The proposed approach is evaluated over 3 datasets (two local and one public).

Human-Computer Interaction

DeepKey: An EEG and Gait Based Dual-Authentication System

no code implementations6 Jun 2017 Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu

Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics.

EEG Face Recognition +1

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