Search Results for author: Hua Wang

Found 35 papers, 12 papers with code

A Survey on the Real Power of ChatGPT

1 code implementation22 Apr 2024 Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray Buntine

ChatGPT has changed the AI community and an active research line is the performance evaluation of ChatGPT.

Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs

no code implementations24 Aug 2023 Hua Wang, Yuqiong Wu, Yushun Zhang, Fuqiang Lai, Zhou Feng, Bing Xie, Ailin Zhao

Using the SHAP explainable machine learning model, we calculate the importance of each input log to the predicted results as well as the coupling relationship among input logs.

Ensemble Learning

DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework

no code implementations9 Jun 2023 Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen

In our paper, we introduce DP-HyPO, a pioneering framework for ``adaptive'' private hyperparameter optimization, aiming to bridge the gap between private and non-private hyperparameter optimization.

Hyperparameter Optimization Privacy Preserving

A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection

no code implementations9 Mar 2023 Min Zeng, Haimiao Mo, Zhiming Liang, Hua Wang

The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model.

feature selection

Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In Cricket

1 code implementation22 Nov 2022 Kumail Abbas, Muhammad Saeed, M. Imad Khan, Khandakar Ahmed, Hua Wang

Our research tries to solve one of these problems by segmenting ball deliveries in a cricket broadcast using deep learning models, MobileNet and YOLO, thus enabling researchers to use our work as a dataset for their research.

object-detection Video Object Detection

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

1 code implementation10 Oct 2022 Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng

Specifically, we first exploit network schema as the prior constraint to sample negatives and pre-train our model by employing a multi-level contrastive learning method to yield both prior schema and contextual information.

Contrastive Learning Knowledge Graphs +1

Analytical Composition of Differential Privacy via the Edgeworth Accountant

1 code implementation9 Jun 2022 Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su

Many modern machine learning algorithms are composed of simple private algorithms; thus, an increasingly important problem is to efficiently compute the overall privacy loss under composition.

Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network

no code implementations6 Jan 2022 Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang

This paper presents a deep learning assisted synthesis approach for direct end-to-end generation of RF/mm-wave passive matching network with 3D EM structures.

Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations

1 code implementation NeurIPS 2021 Jiayao Zhang, Hua Wang, Weijie J. Su

Our main finding uncovers a sharp phase transition phenomenon regarding the {intra-class impact: if the SDEs are locally elastic in the sense that the impact is more significant on samples from the same class as the input, the features of the training data become linearly separable, meaning vanishing training loss; otherwise, the features are not separable, regardless of how long the training time is.

On the Convergence and Calibration of Deep Learning with Differential Privacy

1 code implementation15 Jun 2021 Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long

Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its non-private counterpart.

Exact Sparse Orthogonal Dictionary Learning

no code implementations14 Mar 2021 Kai Liu, Yongjian Zhao, Hua Wang

Over the past decade, learning a dictionary from input images for sparse modeling has been one of the topics which receive most research attention in image processing and compressed sensing.

Denoising Dictionary Learning

Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks

no code implementations2 Mar 2021 Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini

According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.

Information Theory Signal Processing Information Theory

Local-Global Fusion Network for Video Super-Resolution

1 code implementation IEEE Access 2020 Dewei Su, Hua Wang, Longcun Jin, Xianfang Sun, Xinyi Peng

The results on benchmark datasets of our LGFN are presented on https://github. com/BIOINSu/LGFN and the source code will be released as soon as the paper is accepted.

Optical Flow Estimation Video Super-Resolution

Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers

no code implementations25 Aug 2020 David Munzer, Siawpeng Er, Minshuo Chen, Yan Li, Naga S. Mannem, Tuo Zhao, Hua Wang

We propose using machine learning models for the direct synthesis of on-chip electromagnetic (EM) passive structures to enable rapid or even automated designs and optimizations of RF/mm-Wave circuits.

BIG-bench Machine Learning

The Complete Lasso Tradeoff Diagram

2 code implementations NeurIPS 2020 Hua Wang, Yachong Yang, Zhiqi Bu, Weijie J. Su

A fundamental problem in the high-dimensional regression is to understand the tradeoff between type I and type II errors or, equivalently, false discovery rate (FDR) and power in variable selection.

Statistics Theory Information Theory Information Theory Statistics Theory

Exploiting Review Neighbors for Contextualized Helpfulness Prediction

no code implementations17 Jun 2020 Jiahua Du, Jia Rong, Hua Wang, Yanchun Zhang

Four weighting schemes are designed to learn context clues from the selected neighbors.

Reversible Adversarial Attack based on Reversible Image Transformation

no code implementations6 Nov 2019 Zhaoxia Yin, Hua Wang, Li Chen, Jie Wang, Weiming Zhang

In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack technique is rise.

Adversarial Attack Image Restoration

Longitudinal Enrichment of Imaging Biomarker Representations for Improved Alzheimer's Disease Diagnosis

no code implementations25 Sep 2019 Saad Elbeleidy, Lyujian Lu, L. Zoe Baker, Hua Wang, Feiping Nie

Longitudinal data is often available inconsistently across individuals resulting in ignoring of additionally available data.

Deformable Non-local Network for Video Super-Resolution

1 code implementation24 Sep 2019 Hua Wang, Dewei Su, Chuangchuang Liu, Longcun Jin, Xianfang Sun, Xinyi Peng

The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by using its corresponding low-resolution (LR) frame and multiple neighboring frames.

Optical Flow Estimation Video Super-Resolution

Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms

no code implementations29 Jun 2019 Feiping Nie, Hua Wang, Zheng Wang, Heng Huang

In this paper, we propose a novel robust linear discriminant analysis method based on the L1, 2-norm ratio minimization.

An Efficient Pre-processing Method to Eliminate Adversarial Effects

no code implementations15 May 2019 Hua Wang, Jie Wang, Zhaoxia Yin

Deep Neural Networks (DNNs) are vulnerable to adversarial examples generated by imposing subtle perturbations to inputs that lead a model to predict incorrect outputs.

General Classification Image Classification +1

Spherical Principal Component Analysis

1 code implementation16 Mar 2019 Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang

However, most of the studies on PCA aim to minimize the loss after projection, which usually measures the Euclidean distance, though in some fields, angle distance is known to be more important and critical for analysis.


Neural Sparse Topical Coding

no code implementations ACL 2018 Min Peng, Qianqian Xie, Yanchun Zhang, Hua Wang, Xiuzhen Zhang, Jimin Huang, Gang Tian

Topic models with sparsity enhancement have been proven to be effective at learning discriminative and coherent latent topics of short texts, which is critical to many scientific and engineering applications.

Language Modelling Topic Models +1

Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances

no code implementations CVPR 2018 Kai Liu, Hua Wang, Feiping Nie, Hao Zhang

To tackle these two challenges, in this paper we propose a novel image representation learning method that can integrate the local patches (the instances) of an input image (the bag) and its holistic representation into one single-vector representation.

Representation Learning

R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

1 code implementation29 Jun 2017 Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, Zhenbo Luo

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.

Region Proposal Scene Text Detection +1

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks

4 code implementations4 May 2017 Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang

Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a potential application in digital entertainment.

Image Generation

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking

no code implementations30 Apr 2016 Xue Yang, Fei Han, Hua Wang, Hao Zhang

Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance.

Descriptive Visual Tracking

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine

no code implementations CVPR 2013 Hua Wang, Feiping Nie, Heng Huang, Chris Ding

We applied our SMML method to five broadly used object categorization and scene understanding image data sets for both singlelabel and multi-label image classification tasks.

Feature Importance Multi-Label Image Classification +2

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