Search Results for author: Hu Wang

Found 23 papers, 3 papers with code

Risk and return prediction for pricing portfolios of non-performing consumer credit

no code implementations28 Oct 2021 Siyi Wang, Xing Yan, Bangqi Zheng, Hu Wang, Wangli Xu, Nanbo Peng, Qi Wu

We design a system for risk-analyzing and pricing portfolios of non-performing consumer credit loans.

Dependency Structure for News Document Summarization

no code implementations23 Sep 2021 Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo

In this work, we develop a neural network based model which leverages dependency parsing to capture cross-positional dependencies and grammatical structures.

Dependency Parsing Document Summarization +1

Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography

no code implementations20 Jul 2021 Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu

Data hiding is the process of embedding information into a noise-tolerant signal such as a piece of audio, video, or image.

Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning

no code implementations20 May 2021 Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang

With this key observation, we protect data privacy and allow the disclosure of feature meaning by concealing decision paths and adapt a communication-efficient secure computation method for inference outputs.

Federated Learning

Kernel Agnostic Real-world Image Super-resolution

no code implementations19 Apr 2021 Hu Wang, Congbo Ma, Chunhua Shen

In the proposed framework, the degradation kernels and noises are adaptively modeled rather than explicitly specified.

Image Super-Resolution

Oriole: Thwarting Privacy against Trustworthy Deep Learning Models

no code implementations23 Feb 2021 Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian

Deep Neural Networks have achieved unprecedented success in the field of face recognition such that any individual can crawl the data of others from the Internet without their explicit permission for the purpose of training high-precision face recognition models, creating a serious violation of privacy.

Data Poisoning Face Recognition +1

Delayed Rewards Calibration via Reward Empirical Sufficiency

no code implementations21 Feb 2021 Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue

Therefore, a purify-trained classifier is designed to obtain the distribution and generate the calibrated rewards.

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

no code implementations24 Jan 2021 Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen

To address these issues, in this work we carefully design our settings and propose a new dataset including both synthetic and real traffic data in more complex scenarios.

Memory-Gated Recurrent Networks

1 code implementation24 Dec 2020 Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang

The essence of multivariate sequential learning is all about how to extract dependencies in data.

Time Series

Fully Quantized Image Super-Resolution Networks

1 code implementation29 Nov 2020 Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen

With the rising popularity of intelligent mobile devices, it is of great practical significance to develop accurate, realtime and energy-efficient image Super-Resolution (SR) inference methods.

Image Super-Resolution Quantization

Robust Data Hiding Using Inverse Gradient Attention

no code implementations21 Nov 2020 Honglei Zhang, Hu Wang, Yuanzhouhan Cao, Chunhua Shen, Yidong Li

The neglect of considering the sensitivity of each pixel will inevitably affect the model robustness for information hiding.

Multi-document Summarization via Deep Learning Techniques: A Survey

no code implementations10 Nov 2020 Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng

Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents.

Document Summarization Multi-Document Summarization

Randomized Online CP Decomposition

no code implementations21 Jul 2020 Congbo Ma, Xiaowei Yang, Hu Wang

The experimental results on synthetic data and real-world data show the ROCP algorithm is able to cope with CP decomposition for large-scale tensors with arbitrary number of dimensions.

Soft Expert Reward Learning for Vision-and-Language Navigation

no code implementations ECCV 2020 Hu Wang, Qi Wu, Chunhua Shen

In this paper, we introduce a Soft Expert Reward Learning (SERL) model to overcome the reward engineering designing and generalisation problems of the VLN task.

Vision and Language Navigation

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

no code implementations21 Jul 2020 Congbo Ma, Hu Wang, Steven C. H. Hoi

Automated disease classification of radiology images has been emerging as a promising technique to support clinical diagnosis and treatment planning.

Classification General Classification +2

Unsupervised Representation Learning by Predicting Random Distances

1 code implementation22 Dec 2019 Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

To enable unsupervised learning on those domains, in this work we propose to learn features without using any labelled data by training neural networks to predict data distances in a randomly projected space.

Anomaly Detection Representation Learning

Image-based reconstruction for the impact problems by using DPNNs

no code implementations8 Apr 2019 Yu Li, Hu Wang, Wenquan Shuai, Honghao Zhang, Yong Peng

Therefore, in this study, an improved ReConNN method is proposed to address the mentioned weaknesses.

Image-Based Reconstruction for a 3D-PFHS Heat Transfer Problem by ReConNN

no code implementations6 Nov 2018 Yu Li, Hu Wang, Xinjian Deng

Therefore, an image-based reconstruction model of a heat transfer process for a 3D-PFHS is established.

An Adaptive Population Size Differential Evolution with Novel Mutation Strategy for Constrained Optimization

no code implementations11 May 2018 Yuan Fu, Hu Wang, Meng-Zhu Yang

To achieve the aim of searching the feasible solutions accurately, an adaptive population size method and an adaptive mutation strategy are proposed in the paper.

Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method

no code implementations19 Apr 2018 Yu Li, Hu Wang, Kangjia Mo, Tao Zeng

In such a framework, a reconstruction neural network (ReConNN) model designed for simulation-based physical field's reconstruction is proposed.

ReNN: Rule-embedded Neural Networks

no code implementations30 Jan 2018 Hu Wang

The complexity of neural networks can be reduced since long-term dependencies are not modeled with neural connections, and thus the amount of data needed to optimize the neural networks can be reduced.

Time Series

Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?

no code implementations15 Nov 2017 Yu Li, Hu Wang, Juanjuan Liu

In order to evaluate the proposed CNN metamodel for hundreds-dimensional and strong nonlinear problems, CNN is compared with other metamodeling techniques.

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