no code implementations • 21 Dec 2023 • Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian yuan, Dongmei Zhang
We evaluate five state-of-the-art models using three different metrics and the results show that our benchmark presents introduces considerable challenge in the field of tabular data analysis, paving the way for more advanced research opportunities.
no code implementations • 22 Aug 2023 • Fuhui Zhou, Rui Ding, Qihui Wu, Derrick Wing Kwan Ng, Kai-Kit Wong, Naofal Al-Dhahir
Simulation results demonstrate that our proposed framework can significantly improve the sum transmission rate of the secondary network compared to various benchmark schemes.
no code implementations • 18 Aug 2023 • Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie
To address this challenge, we propose FR-GNN, a general framework for GNNs to conduct feature reconstruction.
no code implementations • 4 Aug 2023 • Rui Ding, Fuhui Zhou, Yuben Qu, Chao Dong, Qihui Wu, Tony Q. S. Quek
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications.
no code implementations • 2 Apr 2023 • Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
In brief, an IQuery is an abstraction and automation of data analysis operations, which mimics the approach of data analysts and simplifies the exploration process for users.
no code implementations • 1 Feb 2023 • Rui Ding
In this paper, we build on using the class of f-divergence induced coherent risk measures for portfolio optimization and derive its necessary optimality conditions formulated in CAPM format.
1 code implementation • 1 Jan 2023 • Rui Ding, Juntian Ye, Qifeng Gao, Feihu Xu, Yuping Duan
Non-line-of-sight (NLOS) imaging aims to reconstruct the three-dimensional hidden scenes from the data measured in the line-of-sight, which uses photon time-of-flight information encoded in light after multiple diffuse reflections.
no code implementations • 30 Jul 2022 • Qifeng Gao, Rui Ding, Linyuan Wang, Bin Xue, Yuping Duan
The noisy incomplete projection data results in the ill-posedness of the inverse problems.
no code implementations • 26 Jul 2022 • Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight is a three-module, end-to-end pipeline designed to extract causal graphs, translate causal primitives into XDA semantics, and quantify the quantitative contribution of each explanation to a data fact.
no code implementations • 30 Jun 2022 • Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, Zhu Han
In order to tackle these problems, a novel data-and-knowledge dual-driven automatic modulation classification scheme based on radio frequency machine learning is proposed by exploiting the attribute features of different modulations.
no code implementations • 16 Nov 2021 • Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Predictive analytics is human involved, thus the machine learning model is preferred to be interpretable.
1 code implementation • NeurIPS 2021 • Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
Starting from seeing that SCL is not better than random guessing if the learning target is non-identifiable a priori, we propose a two-phase paradigm for SCL by explicitly considering structure identifiability.
no code implementations • 29 Sep 2021 • Zhanyang Sun, Rui Ding, Xinyu Zhou
Predicting the COVID-19 outbreak has been studied by many researchers in recent years.
no code implementations • 20 Dec 2020 • Jian Liu, Lei Gao, Sujie Guo, Rui Ding, Xin Huang, Long Ye, Qinghua Meng, Asef Nazari, Dhananjay Thiruvady
In this approach, the MHATT mechanism aims to improve the recognition accuracy of abbreviations to efficiently deal with the problem of inconsistency in full-text labels.