Search Results for author: Junping Zhang

Found 27 papers, 9 papers with code

Hard instance learning for quantum adiabatic prime factorization

no code implementations10 Oct 2021 Jian Lin, Zhengfeng Zhang, Junping Zhang, Xiaopeng Li

Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography.

Transfer Learning

Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration

no code implementations27 Sep 2021 Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang

In complex environments with high dimension, training a reinforcement learning (RL) model from scratch often suffers from lengthy and tedious collection of agent-environment interactions.

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

1 code implementation24 Aug 2021 Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan

To better regularize the LDCT denoising model, this paper proposes a novel method, termed DU-GAN, which leverages U-Net based discriminators in the GANs framework to learn both global and local difference between the denoised and normal-dose images in both image and gradient domains.

Denoising

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications

no code implementations22 Jul 2021 Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao

In this paper, we propose a neural ODE model for evolutionary subspace clustering to overcome this limitation and a new objective function with subspace self-expressiveness constraint is introduced.

Time Series Time Series Analysis

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows

1 code implementation15 May 2021 Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan

Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively.

Knowledge Distillation

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification

no code implementations28 Apr 2021 Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

In this paper, we consider the label dependency of graph nodes and propose a decoupling attention mechanism to learn both hard and soft attention.

Classification General Classification +2

SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

1 code implementation27 Mar 2021 Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang

In this work, we propose a self-supervised gait recognition method, termed SelfGait, which takes advantage of the massive, diverse, unlabeled gait data as a pre-training process to improve the representation abilities of spatiotemporal backbones.

Gait Recognition Representation Learning

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

1 code implementation5 Feb 2021 Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng

In this paper, we present a novel perspective that utilizes gait as a deep set, which means that a set of gait frames are integrated by a global-local fused deep network inspired by the way our left- and right-hemisphere processes information to learn information that can be used in identification.

Gait Recognition

RoutingGAN: Routing Age Progression and Regression with Disentangled Learning

no code implementations1 Feb 2021 Zhizhong Huang, Junping Zhang, Hongming Shan

Although impressive results have been achieved for age progression and regression, there remain two major issues in generative adversarial networks (GANs)-based methods: 1) conditional GANs (cGANs)-based methods can learn various effects between any two age groups in a single model, but are insufficient to characterize some specific patterns due to completely shared convolutions filters; and 2) GANs-based methods can, by utilizing several models to learn effects independently, learn some specific patterns, however, they are cumbersome and require age label in advance.

Meta ordinal weighting net for improving lung nodule classification

no code implementations31 Jan 2021 Yiming Lei, Hongming Shan, Junping Zhang

In this paper, we propose a Meta Ordinal Weighting Network (MOW-Net) to explicitly align each training sample with a meta ordinal set (MOS) containing a few samples from all classes.

Classification General Classification +2

Private Image Reconstruction from System Side Channels Using Generative Models

1 code implementation ICLR 2021 Yuanyuan Yuan, Shuai Wang, Junping Zhang

Given the ever-growing adoption of machine learning as a service (MLaaS), image analysis software on cloud platforms has been exploited by reconstructing private user images from system side channels.

Image Reconstruction

PFA-GAN: Progressive Face Aging with Generative Adversarial Network

2 code implementations7 Dec 2020 Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan

Although impressive results have been achieved with conditional generative adversarial networks (cGANs), the existing cGANs-based methods typically use a single network to learn various aging effects between any two different age groups.

Age Estimation

Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules

no code implementations7 Dec 2020 Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan

Recently, an unsure data model (UDM) was proposed to incorporate those unsure nodules by formulating this problem as an ordinal regression, showing better performance over traditional binary classification.

Classification Feature Selection +3

Two Types of Mixed Orthogonal Frequency Division Multiplexing (X-OFDM) Waveform for Optical Wireless Communication

no code implementations7 Nov 2020 Xu Li, Jingjing Huang, Yibo Lyu, Rui Ni, Jiajin Luo, Junping Zhang

For the even sub-carriers in the frequency domain, the signal in the time domain after the IFFT is symmetric.

Convolutional Ordinal Regression Forest for Image Ordinal Estimation

no code implementations7 Aug 2020 Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang

We propose a novel ordinal regression approach, termed Convolutional Ordinal Regression Forest or CORF, for image ordinal estimation, which can integrate ordinal regression and differentiable decision trees with a convolutional neural network for obtaining precise and stable global ordinal relationships.

Age Estimation

STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation

no code implementations13 Apr 2020 Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma

We thus propose an end-to-end deep-learning BCoP model named Spatio-Temporal feature Auto-Selective (STAS) model to select optimal ST regularity from EC via the ST Feature-selective Mechanisms (SFM/TFM).

Look globally, age locally: Face aging with an attention mechanism

1 code implementation24 Oct 2019 Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang

Face aging is of great importance for cross-age recognition and entertainment-related applications.

Precipitation Nowcasting with Star-Bridge Networks

no code implementations18 Jul 2019 Yuan Cao, Qiuying Li, Hongming Shan, Zhizhong Huang, Lei Chen, Leiming Ma, Junping Zhang

Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence community.

Video Prediction

Ordinal Distribution Regression for Gait-based Age Estimation

no code implementations27 May 2019 Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan

This paper proposes an ordinal distribution regression with a global and local convolutional neural network for gait-based age estimation.

Age Estimation

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

1 code implementation15 Nov 2018 Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng

In this paper we present a novel perspective, where a gait is regarded as a set consisting of independent frames.

Multiview Gait Recognition

PaDNet: Pan-Density Crowd Counting

no code implementations7 Nov 2018 Yukun Tian, Yiming Lei, Junping Zhang, James Z. Wang

We propose a novel framework, the Pan-Density Network (PaDNet), for pan-density crowd counting.

Crowd Counting

Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping

no code implementations30 Oct 2018 Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep Kalra

Therefore, CAM and Grad-CAM cannot provide optimal interpretation for lung nodule categorization task in low-dose CT images, in that fine-grained pathological clues like discrete and irregular shape and margins of nodules are capable of enhancing sensitivity and specificity of nodule classification with regards to CNN.

Classification Data Augmentation +3

The Automatic Identification of Butterfly Species

no code implementations18 Mar 2018 Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu

We delete those species with only one living environment image from data set, then partition the rest images from living environment into two subsets, one used as test subset, the other as training subset respectively combined with all standard pattern butterfly images or the standard pattern butterfly images with the same species of the images from living environment.

Distribution-dependent concentration inequalities for tighter generalization bounds

no code implementations19 Jul 2016 Xinxing Wu, Junping Zhang

Concentration inequalities are indispensable tools for studying the generalization capacity of learning models.

Generalization Bounds Learning Theory

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