no code implementations • 23 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.
no code implementations • 22 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.
1 code implementation • 11 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.
no code implementations • 26 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.
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.
no code implementations • 3 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.
no code implementations • 2 Jun 2023 • Junchuan Liang, Rong Wang
Covert communication has become an important area of research in computer security.
no code implementations • 17 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.
no code implementations • 2 Feb 2023 • Meng Zhao, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Wenjie Li, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao
Conclusions: The proposed deep learning algorithms can be an effective tool for early identification of hemorrhage etiologies based on NCCT scans.
no code implementations • 7 Dec 2022 • Feiping Nie, Hong Chen, Rong Wang, Xuelong Li
This paper presents an algorithm to solve the Soft k-Means problem globally.
1 code implementation • 16 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)
1 code implementation • 3 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.
no code implementations • 27 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.
1 code implementation • 17 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.
no code implementations • 9 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.
no code implementations • 28 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.
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.
no code implementations • NeurIPS 2021 • Feiping Nie, Shenfei Pei, Rong Wang, Liang Zhang, Jun Wu, Qinglong Chang, Xuelong Li
We also developed a general model that unified LKM, KSUMS, and SC, and discussed the connection among them.
no code implementations • 3 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.
no code implementations • 2 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
no code implementations • 6 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.
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.
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].
no code implementations • 2 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.
no code implementations • 8 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.
no code implementations • 14 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.