Search Results for author: Zihao Liu

Found 11 papers, 3 papers with code

Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition

no code implementations19 Nov 2023 Zihao Liu, Xing Liu, Yizhai Zhang, Zhengxiong Liu, Panfeng Huang

In this study, we propose a novel method for skill learning in robotic manipulation called Tactile Active Inference Reinforcement Learning (Tactile-AIRL), aimed at achieving efficient training.

reinforcement-learning Reinforcement Learning (RL)

NPS: A Framework for Accurate Program Sampling Using Graph Neural Network

no code implementations18 Apr 2023 Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yenkuang Chen, Hongzhong Zheng, Yuan Xie

Furthermore, NPS shows higher accuracy and generality than the state-of-the-art GNN approach in code behavior learning, enabling the generation of high-quality execution embeddings.

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

no code implementations17 Oct 2022 Anyi Rao, Xuekun Jiang, Sichen Wang, Yuwei Guo, Zihao Liu, Bo Dai, Long Pang, Xiaoyu Wu, Dahua Lin, Libiao Jin

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery.

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

1 code implementation21 Jan 2022 Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris Metaxas, Tingting Jiang

Medical image segmentation has been widely recognized as a pivot procedure for clinical diagnosis, analysis, and treatment planning.

Contrastive Learning feature selection +4

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

no code implementations CVPR 2019 Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang

In this paper we will use deep learning based medical image segmentation as a vehicle and demonstrate that interestingly, machine and human view the compression quality differently.

Image Compression Image Segmentation +3

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

no code implementations14 Mar 2018 Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan

To reduce the data storage and transfer overhead in smart resource-limited Internet-of-Thing (IoT) systems, effective data compression is a "must-have" feature before transferring real-time produced dataset for training or classification.

Data Compression General Classification +2

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

2 code implementations CVPR 2019 Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen

Image compression-based approaches for defending against the adversarial-example attacks, which threaten the safety use of deep neural networks (DNN), have been investigated recently.

Classification General Classification +2

MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation

no code implementations14 Mar 2018 Tao Liu, Zihao Liu, Fuhong Lin, Yier Jin, Gang Quan, Wujie Wen

Modern deep learning enabled artificial neural networks, such as Deep Neural Network (DNN) and Convolutional Neural Network (CNN), have achieved a series of breaking records on a broad spectrum of recognition applications.

Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks

no code implementations14 Feb 2018 Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen

In this work, we for the first time investigate the multi-factor adversarial attack problem in practical model optimized deep learning systems by jointly considering the DNN model-reshaping (e. g. HashNet based deep compression) and the input perturbations.

Adversarial Attack

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