Search Results for author: Rong Wang

Found 27 papers, 7 papers with code

Computational Sentence-level Metrics Predicting Human Sentence Comprehension

no code implementations23 Mar 2024 Kun Sun, Rong Wang

Our results indicate that these computational sentence-level metrics are exceptionally effective at predicting and elucidating the processing difficulties encountered by readers in comprehending sentences as a whole across a variety of languages.

Sentence

Comprehensive Reassessment of Large-Scale Evaluation Outcomes in LLMs: A Multifaceted Statistical Approach

no code implementations22 Mar 2024 Kun Sun, Rong Wang, Haitao Liu, Anders Søgaard

Evaluations have revealed that factors such as scaling, training types, architectures and other factors profoundly impact the performance of LLMs.

Multi-class Support Vector Machine with Maximizing Minimum Margin

1 code implementation11 Dec 2023 Feiping Nie, Zhezheng Hao, Rong Wang

Support Vector Machine (SVM) stands out as a prominent machine learning technique widely applied in practical pattern recognition tasks.

Binary Classification

A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization

no code implementations26 Nov 2023 Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li

To address the problems, we propose a novel N-Cut solver designed based on the famous coordinate descent method.

Clustering

DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation

1 code implementation NeurIPS 2023 Rong Wang, Wei Mao, Hongdong Li

Specifically, for an initial hand-object pose estimated by a base network, we forward it to a physics simulator to evaluate its stability.

3D Pose Estimation hand-object pose +1

OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation

no code implementations3 Oct 2023 Ahmed Albishri, Syed Jawad Hussain Shah, Yugyung Lee, Rong Wang

The incorporation of these modules showed superior performance for oral cancer segmentation for two datasets used in this research.

Image Segmentation Segmentation +1

Exploring the cloud of feature interaction scores in a Rashomon set

no code implementations17 May 2023 Sichao Li, Rong Wang, Quanling Deng, Amanda Barnard

Thus, we recommend exploring feature interaction strengths in a model class of approximately equally accurate predictive models.

Image Classification

On the Global Solution of Soft k-Means

no code implementations7 Dec 2022 Feiping Nie, Hong Chen, Rong Wang, Xuelong Li

This paper presents an algorithm to solve the Soft k-Means problem globally.

Clustering

Interacting Hand-Object Pose Estimation via Dense Mutual Attention

1 code implementation16 Nov 2022 Rong Wang, Wei Mao, Hongdong Li

In contrast, we propose a novel dense mutual attention mechanism that is able to model fine-grained dependencies between the hand and the object.

Ranked #2 on hand-object pose on HO-3D (using extra training data)

hand-object pose Object +1

Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

1 code implementation3 Jan 2022 Yunhui Zeng, Zijun Liao, Yuanzhi Dai, Rong Wang, Xiu Li, Bo Yuan

The dynamic job-shop scheduling problem (DJSP) is a class of scheduling tasks that specifically consider the inherent uncertainties such as changing order requirements and possible machine breakdown in realistic smart manufacturing settings.

Graph Representation Learning Job Shop Scheduling +2

A Compact Neural Network-based Algorithm for Robust Image Watermarking

no code implementations27 Dec 2021 Hong-Bo Xu, Rong Wang, Jia Wei, Shao-Ping Lu

Digital image watermarking seeks to protect the digital media information from unauthorized access, where the message is embedded into the digital image and extracted from it, even some noises or distortions are applied under various data processing including lossy image compression and interactive content editing.

Image Compression

Transcribing Natural Languages for The Deaf via Neural Editing Programs

1 code implementation17 Dec 2021 Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li

This work studies the task of glossification, of which the aim is to em transcribe natural spoken language sentences for the Deaf (hard-of-hearing) community to ordered sign language glosses.

Sentence

New Tight Relaxations of Rank Minimization for Multi-Task Learning

no code implementations9 Dec 2021 Wei Chang, Feiping Nie, Rong Wang, Xuelong Li

Multi-task learning has been observed by many researchers, which supposes that different tasks can share a low-rank common yet latent subspace.

Multi-Task Learning

Lifespan associations of resting-state brain functional networks with ADHD symptoms

no code implementations28 Jul 2021 Rong Wang, Yongchen Fan, Ying Wu, Yu-Feng Zang, Changsong Zhou

Our findings reveal a lifespan association of brain networks with ADHD symptoms and provide potential shared neural bases of distinct ADHD symptoms in children and adults.

Large-Capacity Image Steganography Based on Invertible Neural Networks

no code implementations CVPR 2021 Shao-Ping Lu, Rong Wang, Tao Zhong, Paul L. Rosin

Many attempts have been made to hide information in images, where the main challenge is how to increase the payload capacity without the container image being detected as containing a message.

Image Steganography

AttentionFlow: Visualising Influence in Networks of Time Series

no code implementations3 Feb 2021 Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie

The collective attention on online items such as web pages, search terms, and videos reflects trends that are of social, cultural, and economic interest.

Time Series Time Series Analysis

Extraction of the proton mass radius from the vector meson photoproductions near thresholds

no code implementations2 Feb 2021 Rong Wang, Wei Kou, Ya-Ping Xie, XuRong chen

We present an analysis of the proton mass radius by studying the $t$-dependence of the differential cross sections of the vector meson photoproductions near the thresholds.

High Energy Physics - Phenomenology

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery

no code implementations6 Jan 2021 Rong Wang, Yihang Lu, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li

To alleviate this problem, we proposed a novel ensemble and random collaborative representation-based detector (ERCRD) for HAD, which comprises two closely related stages.

Anomaly Detection Ensemble Learning

Learning Feature Sparse Principal Subspace

1 code implementation NeurIPS 2020 Lai Tian, Feiping Nie, Rong Wang, Xuelong Li

This paper presents new algorithms to solve the feature-sparsity constrained PCA problem (FSPCA), which performs feature selection and PCA simultaneously.

Dimensionality Reduction feature selection

Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut

1 code implementation NeurIPS 2020 Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li

In particular, over 15x and 7x speed-up can be obtained with respect to $k$-means on the synthetic dataset of 1 million samples and the benchmark dataset (CelebA) of 200k samples, respectively [GitHub].

Clustering

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms

no code implementations2 Jul 2019 Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong. Li, Heng Huang

This work aims at solving the problems with intractable sparsity-inducing norms that are often encountered in various machine learning tasks, such as multi-task learning, subspace clustering, feature selection, robust principal component analysis, and so on.

BIG-bench Machine Learning Clustering +2

Feature Learning Viewpoint of AdaBoost and a New Algorithm

no code implementations8 Apr 2019 Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie

We explain the rationality of this and illustrate the theorem that when the dimension of these features increases, the performance of SVM would not be worse, which can explain the resistant to overfitting of AdaBoost.

Low Rank Regularization: A Review

no code implementations14 Aug 2018 Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li

Low rank regularization, in essence, involves introducing a low rank or approximately low rank assumption for matrix we aim to learn, which has achieved great success in many fields including machine learning, data mining and computer version.

BIG-bench Machine Learning Image Denoising

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