no code implementations • 30 Oct 2024 • Juntao Xu, Tianxiang Zhan, Yong Deng

However, there is a lack of a transformation method based on permutation order between RPS and DST, as well as a sequence-based probability transformation method for RPS.

no code implementations • 21 Oct 2024 • Yong Deng, Baoxing Li, Xu Zhao

Simultaneously, to compensate for local ambiguity in images, a temporal transformer is utilized to extract temporal features from adjacent frames.

no code implementations • 11 Oct 2024 • Qianli Zhou, Hao Luo, Lipeng Pan, Yong Deng, Eloi Bosse

In this paper, we implement the transferable belief model on quantum circuits and demonstrate that belief functions offer a more concise and effective alternative to Bayesian approaches within the quantum computing framework.

2 code implementations • 10 May 2024 • Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, Qingsong Wen

In practical scenarios, time series forecasting necessitates not only accuracy but also efficiency.

Ranked #4 on Time Series Forecasting on ETTm2 (720) Multivariate

no code implementations • 4 May 2024 • Qianli Zhou, Tianxiang Zhan, Yong Deng

More general, this paper establishes a theoretical basis for building general models of artificial intelligence based on probability theory, Dempster-Shafer theory, and possibility theory.

no code implementations • 5 Apr 2024 • Jiefeng Zhou, Zhen Li, Yong Deng

Random walk is an explainable approach for modeling natural processes at the molecular level.

no code implementations • 23 Mar 2024 • Ruijie Liu, Tianxiang Zhan, Zhen Li, Yong Deng

A learnable sensor deployment network (LSDNet) considering both sensor contribution and detection capability, is proposed for achieving the optimal deployment of WSNs.

no code implementations • 10 Mar 2024 • Jiefeng Zhou, Zhen Li, Kang Hao Cheong, Yong Deng

In this paper, a new concept, the envelope of entropy function, is defined.

no code implementations • 20 Feb 2024 • Tianxiang Zhan, Zhen Li, Yong Deng

Therefore, Random Graph Set (RGS) were proposed to model complex relationships and represent more event types.

no code implementations • 30 Jan 2024 • Baoxing Li, Yong Deng, Yehui Yang, Xu Zhao

Recent approaches have combined parametric body models (such as SMPL), which capture body pose and shape priors, with neural implicit functions that flexibly learn clothing details.

no code implementations • 21 Nov 2023 • Yusheng Huang, Yong Deng

Visibility graph (VG) transformation is a technique used to convert a time series into a graph based on specific visibility criteria.

1 code implementation • journal 2023 • Hao Luo, Qianli Zhou, Zhen Li, Yong Deng

Dempster–Shafer Theory (DST), as a method of handling uncertain information, is widely used in decisionmaking and information fusion.

no code implementations • 15 May 2023 • Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li

Thanks to the learnable ability of the neural network, the length of fuzzy rules established in FTSF is expended to an arbitrary length that the expert is not able to handle by the expert system.

2 code implementations • 16 Apr 2023 • Yunjie Ji, Yan Gong, Yong Deng, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li

Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models.

no code implementations • 12 Apr 2023 • Deyu An, Qiang Zhang, Jianshu Chao, Ting Li, Feng Qiao, Yong Deng, ZhenPeng Bian

Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images.

1 code implementation • 26 Mar 2023 • Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Lei Zhang, Baochang Ma, Xiangang Li

However current research rarely studies the impact of different amounts of instruction data on model performance, especially in the real-world use cases.

no code implementations • 29 Nov 2022 • Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang, Yiliang Xu, Yong Deng, Guangbin Wu, Qiang Zhang

This process is studied in Unsupervised domain adaptation (UDA).

no code implementations • 3 Nov 2022 • Wenran Yang, Yong Deng

Random permutation set (RPS), as a recently proposed theory, enables powerful information representation by traversing all possible permutations.

no code implementations • SemEval (NAACL) 2022 • Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li

PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media. Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed.

Ranked #1 on Multi-label Condescension Detection on DPM

Binary Condescension Detection
Multi-Label Classification
**+1**

no code implementations • 16 Dec 2021 • Jixiang Deng, Yong Deng

The results show that the maximum entropy RPS is compatible with the maximum Deng entropy and the maximum Shannon entropy.

no code implementations • 23 Nov 2021 • Hanwen Li, Qiuyan Shang, Fangzheng Duan, Yong Deng

In this method, the sum of degree of nodes within different distances of central node is calculated.

no code implementations • 12 Oct 2021 • Hanwen Li, Qiuyan Shang, Yong Deng

In particular, based on the gravity model, a series of improved gravity models are proposed to find vital nodes better in complex networks.

no code implementations • 7 Oct 2021 • Qianli Zhou, Yusheng Huang, Yong Deng

Smets proposes the Pignistic Probability Transformation (PPT) as the decision layer in the Transferable Belief Model (TBM), which argues when there is no more information, we have to make a decision using a Probability Mass Function (PMF).

no code implementations • 8 Jul 2021 • Qianli Zhou, Guojing Tian, Yong Deng

We decrease the computation complexity of the matrix evolution on BBA (MEoB) on quantum circuits.

no code implementations • 19 Apr 2021 • Qinyuan Wu, Yong Deng

Categorization is a significant task in decision-making, which is a key part of human behavior.

no code implementations • 12 Apr 2021 • Jixiang Deng, Yong Deng

Because of the efficiency of modeling fuzziness and vagueness, Z-number plays an important role in real practice.

no code implementations • 8 Jan 2021 • Yusheng Huang, Dong Chu, Joel Weijia Lai, Yong Deng, Kang Hao Cheong

Based on the D-Path and T-Point, a newly accelerated PPA named OPPA-D using the proposed termination criterion is developed which is superior to all other baseline algorithms according to the experiments conducted in this paper.

no code implementations • 16 Nov 2020 • Yong Deng, Min Dong

For $K = 2$ users, we show that the optimized MCCS attains the lower bound and is optimal for caching with uncoded placement.

Information Theory Information Theory

no code implementations • 22 Oct 2020 • Qinyuan Wu, Yong Deng, Neal Xiong

Some basic properties of the proposed negation is investigated, we find that the fix point is the uniform probability distribution.

1 code implementation • 19 Oct 2020 • Yusheng Huang, Dong Chu, Yong Deng, Kang Hao Cheong

Motivated by the lack of related PPA-based research, a novel framework, the capacitated physarum polycephalum inspired algorithm (CPPA), is proposed to allow capacity constraints toward link flow in the PPA.

no code implementations • ICLR 2020 • Guanyang Wang, Yumeng Zhang, Yong Deng, Xuxin Huang, Łukasz Kidziński

Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment.

no code implementations • 24 Jan 2019 • Yunjuan Wang, Yong Deng

We apply the Ordered Weighted Averaging (OWA) operator in multi-criteria decision-making.

no code implementations • 23 Jul 2016 • Xinyi Zhou, Yong Hu, Yong Deng, Felix T. S. Chan, Alessio Ishizak

However, in many cases, the pairwise comparison matrix is difficult to complete, which obstructs the subsequent operations of the clas- sical AHP.

no code implementations • 24 Feb 2015 • Xinyang Deng, Yong Deng

In that theory, basic probability assignment (BPA) is the basic element for the expression and inference of uncertainty.

no code implementations • 9 Jun 2014 • Yang Liu, Xiaoge Zhang, Yong Deng

The user equilibrium in traffic assignment problem is based on the fact that travelers choose the minimum-cost path between every origin-destination pair and on the assumption that such a behavior will lead to an equilibrium of the traffic network.

no code implementations • 6 Jun 2014 • Meizhu Li, Qi Zhang, Yong Deng

In this paper, multiscale probability transformation of basic probability assignment based on the belief function and the plausibility function is proposed, which is a generalization of the pignistic probability transformation.

no code implementations • 13 May 2014 • Yong Deng

Finally, a linguistic variables transformation of D numbers is presented to make a decision.

no code implementations • 18 Apr 2014 • Hongming Mo, Yong Deng

Dempster-Shafer evidence theory is a powerful tool in information fusion.

no code implementations • 17 Apr 2014 • Yong Deng

It is shown that the new theory can explain and deal with the conflicting evidence in a more reasonable way.

no code implementations • 13 Apr 2014 • Meizhu Li, Qi Zhang, Xinyang Deng, Yong Deng

A distance function of D numbers is proposed to measure the distance between two D numbers.

no code implementations • 2 Apr 2014 • Li Gou, Yong Deng, Rehan Sadiq, Sankaran Mahadevan

To demonstrate the efficiency of the proposed method, we apply it to the water distribution networks to estimate the risk of contaminant intrusion.

no code implementations • 23 Mar 2014 • Xinyang Deng, Felix T. S. Chan, Rehan Sadiq, Sankaran Mahadevan, Yong Deng

How to express an expert's or a decision maker's preference for alternatives is an open issue.

no code implementations • 21 Mar 2014 • Xiaoge Zhang, Andrew Adamatzky, Xin-She Yang, Hai Yang, Sankaran Mahadevan, Yong Deng

A supply chain is a system which moves products from a supplier to customers.

no code implementations • 20 Mar 2014 • Yunpeng Li, Ya Li, Jie Liu, Yong Deng

The results of defuzzification at the first step are not coincide with the results of defuzzification at the final step. It seems that the alternative is to defuzzification in the final step in fuzzy DEMATEL.

no code implementations • 15 Feb 2014 • Xinyang Deng, Yong Hu, Felix Chan, Sankaran Mahadevan, Yong Deng

Parameter estimation based on uncertain data represented as belief structures is one of the latest problems in the Dempster-Shafer theory.

no code implementations • 14 Feb 2014 • Xinyang Deng, Yong Deng

Dempster-Shafer theory is widely applied to uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information.

no code implementations • 23 Nov 2013 • Yunpeng Li, Jie Liu, Yong Deng

In this paper, we present an illustration to the history of Artificial Intelligence(AI) with a statistical analysis of publish since 1940.

no code implementations • 17 Nov 2013 • Shiyu Chen, Yong Hu, Sankaran Mahadevan, Yong Deng

The problem of aggregation is considerable importance in many disciplines.

no code implementations • 16 Nov 2013 • Hongming Mo, Xiaoyan Su, Yong Hu, Yong Deng

The proposed method is a generalized of existing evidence distance.

no code implementations • 3 Nov 2013 • Xiaoge Zhang, Qi Liu, Yong Hu, Felix T. S. Chan, Sankaran Mahadevan, Zili Zhang, Yong Deng

When the edge weight changes, the proposed algorithm can recognize the affected vertices and reconstruct them spontaneously.

no code implementations • 28 Oct 2013 • Yuxian Du, Shi-Yu Chen, Yong Hu, Felix T. S. Chan, Sankaran Mahadevan, Yong Deng

Dempster-Shafer theory (D-S theory) is widely used in decision making under the uncertain environment.

no code implementations • 8 Oct 2013 • Xinyang Deng, Yong Deng

In this note, we argue that the axiomatic requirement of range to the measure of aggregated total uncertainty (ATU) in Dempster-Shafer theory is not reasonable.

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