Search Results for author: Pengfei Zhang

Found 31 papers, 8 papers with code

Adaptive Prompt Learning-based Few-Shot Sentiment Analysis

1 code implementation15 May 2022 Pengfei Zhang, Tingting Chai, Yongdong Xu

In the field of natural language processing, sentiment analysis via deep learning has a excellent performance by using large labeled datasets.

Sentiment Analysis

Experimental quantum adversarial learning with programmable superconducting qubits

no code implementations4 Apr 2022 Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob Biamonte, Chao Song, Dong-Ling Deng, H. Wang

Our results reveal experimentally a crucial vulnerability aspect of quantum learning systems under adversarial scenarios and demonstrate an effective defense strategy against adversarial attacks, which provide a valuable guide for quantum artificial intelligence applications with both near-term and future quantum devices.

CLMB: deep contrastive learning for robust metagenomic binning

1 code implementation18 Nov 2021 Pengfei Zhang, Zhengyuan Jiang, YiXuan Wang, Yu Li

Essentially, instead of denoising the data explicitly, we add simulated noise to the training data and force the deep learning model to produce similar and stable representations for both the noise-free data and the distorted data.

Contrastive Learning Denoising

Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design

no code implementations31 Oct 2021 Shaoming Huang, Pengfei Zhang, Yijie Mao, Lixiang Lian, Yuanming Shi

Specifically, we theoretically establish the convergence analysis of the FL process, and then apply the proposed device scheduling policy to maximize the number of weighted devices under the FL system latency and sum power constraints.

Federated Learning

ML4ML: Automated Invariance Testing for Machine Learning Models

1 code implementation27 Sep 2021 Zukang Liao, Pengfei Zhang, Min Chen

In machine learning workflows, determining invariance qualities of a model is a common testing procedure.

Face.evoLVe: A High-Performance Face Recognition Library

1 code implementation19 Jul 2021 Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao

In this paper, we develop face. evoLVe -- a comprehensive library that collects and implements a wide range of popular deep learning-based methods for face recognition.

Face Alignment Face Recognition

Minimal Multi-Scale Model for Liquid-Liquid Phase Separation Regulated by Small Molecules

no code implementations16 Feb 2021 Chun-Lai Ren, Pengfei Zhang, Yu-qiang Ma

Liquid-liquid phase separation (LLPS) of proteins regulated by small molecules, such as Adenosine triphophate (ATP), ssDNA and RNA, has been observed.

Soft Condensed Matter Biological Physics

A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings

no code implementations21 Sep 2020 Yongchao Huang, Hugh Miles, Pengfei Zhang

The rising availability of large volume data, along with increasing computing power, has enabled a wide application of statistical Machine Learning (ML) algorithms in the domains of Cyber-Physical Systems (CPS), Internet of Things (IoT) and Smart Building Networks (SBN).

Time Series

Tunneling through an Eternal Traversable Wormhole

no code implementations6 Sep 2020 Tian-Gang Zhou, Pengfei Zhang

Comparing to the high-temperature black hole phase where the bulk geometry is disconnected, we find both the tunneling probability and the differential conductance in the low-temperature wormhole phase show non-trivial oscillation, which directly provides an unambiguous signature of the underlying $SL(2)$ symmetry of the bulk geometry.

Strongly Correlated Electrons Disordered Systems and Neural Networks High Energy Physics - Theory

Searching for Quasi-Periodic Modulations in $γ$-ray Active Galactic Nuclei

no code implementations29 Jan 2020 Pengfei Zhang, Dahai Yan, Jianeng Zhou, Jiancheng Wang, Li Zhang

We perform a systematic search of quasi-periodic variabilities in $\gamma$-ray active galactic nuclei (AGNs) in the third \emph{Fermi} Large Area Telescope source catalog (3FGL).

High Energy Astrophysical Phenomena

Colorectal Polyp Segmentation by U-Net with Dilation Convolution

no code implementations26 Dec 2019 Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu

The model we design consists of an encoder to extract multi-scale semantic features and a decoder to expand the feature maps to a polyp segmentation map.

Information Scrambling in Quantum Neural Networks

no code implementations26 Sep 2019 Huitao Shen, Pengfei Zhang, Yi-Zhuang You, Hui Zhai

In this Letter, we show that this process can also be viewed from the opposite direction: the quantum information in the output qubits is scrambled into the input.

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

no code implementations5 Sep 2019 Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu

Though challenging, with the great advances in object detection techniques, automated polyp detection still demonstrates a great potential in reducing the false negative rate while maintaining a high precision.

Object Detection

EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks

no code implementations3 Sep 2019 Pengfei Zhang, Jianru Xue, Cuiling Lan, Wen-Jun Zeng, Zhanning Gao, Nanning Zheng

For an RNN block, an EleAttG is used for adaptively modulating the input by assigning different levels of importance, i. e., attention, to each element/dimension of the input.

Action Recognition Skeleton Based Action Recognition

Multi-Stream Single Shot Spatial-Temporal Action Detection

no code implementations22 Aug 2019 Pengfei Zhang, Yu Cao, Benyuan Liu

We present a 3D Convolutional Neural Networks (CNNs) based single shot detector for spatial-temporal action detection tasks.

Action Detection Frame +1

SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

1 code implementation CVPR 2019 Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng

In order to address this issue, we propose a data-driven state refinement module for LSTM network (SR-LSTM), which activates the utilization of the current intention of neighbors, and jointly and iteratively refines the current states of all participants in the crowd through a message passing mechanism.

Pedestrian Trajectory Prediction Trajectory Prediction

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach

no code implementations22 Jan 2019 Mingyang Geng, Suning Shang, Bo Ding, Huaimin Wang, Pengfei Zhang, Lei Zhang

Furthermore, we successfully exploit our unsupervised learning framework to assist the traditional ORB-SLAM system when the initialization module of ORB-SLAM method could not match enough features.

Depth And Camera Motion Image Reconstruction +2

Adding Attentiveness to the Neurons in Recurrent Neural Networks

no code implementations ECCV 2018 Pengfei Zhang, Jianru Xue, Cuiling Lan, Wen-Jun Zeng, Zhanning Gao, Nanning Zheng

We propose adding a simple yet effective Element-wiseAttention Gate (EleAttG) to an RNN block (e. g., all RNN neurons in a network layer) that empowers the RNN neurons to have the attentiveness capability.

Action Recognition Skeleton Based Action Recognition

Deep Learning Topological Invariants of Band Insulators

no code implementations26 May 2018 Ning Sun, Jinmin Yi, Pengfei Zhang, Huitao Shen, Hui Zhai

Despite the complexity of the neural network, we find that the output of certain intermediate hidden layers resembles either the winding angle for models in AIII class or the solid angle (Berry curvature) for models in A class, indicating that neural networks essentially capture the mathematical formula of topological invariants.

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

2 code implementations20 Apr 2018 Pengfei Zhang, Cuiling Lan, Junliang Xing, Wen-Jun Zeng, Jianru Xue, Nanning Zheng

In order to alleviate the effects of view variations, this paper introduces a novel view adaptation scheme, which automatically determines the virtual observation viewpoints in a learning based data driven manner.

Action Recognition Skeleton Based Action Recognition

Visualizing Neural Network Developing Perturbation Theory

no code implementations12 Feb 2018 Yadong Wu, Pengfei Zhang, Huitao Shen, Hui Zhai

In this letter, motivated by the question that whether the empirical fitting of data by neural network can yield the same structure of physical laws, we apply the neural network to a simple quantum mechanical two-body scattering problem with short-range potentials, which by itself also plays an important role in many branches of physics.

Machine Learning Topological Invariants with Neural Networks

no code implementations30 Aug 2017 Pengfei Zhang, Huitao Shen, Hui Zhai

In this Letter we supervisedly train neural networks to distinguish different topological phases in the context of topological band insulators.

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

1 code implementation ICCV 2017 Pengfei Zhang, Cuiling Lan, Junliang Xing, Wen-Jun Zeng, Jianru Xue, Nanning Zheng

Rather than re-positioning the skeletons based on a human defined prior criterion, we design a view adaptive recurrent neural network (RNN) with LSTM architecture, which enables the network itself to adapt to the most suitable observation viewpoints from end to end.

Action Recognition Frame +1

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