no code implementations • 19 Mar 2024 • Ying Chen, Yong liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang
Deep learning-based image matching methods play a crucial role in computer vision, yet they often suffer from substantial computational demands.
no code implementations • 19 Mar 2024 • Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong liu, Jinlong Peng, Chengjie Wang, Feng Zheng
To our knowledge, this is the first tuning-free method that concurrently utilizes text and image guidance for image customization in specific regions.
no code implementations • 14 Feb 2024 • Kai Wu, Jacopo Pegoraro, Francesca Meneghello, J. Andrew Zhang, Jesus O. Lacruz, Joerg Widmer, Francesco Restuccia, Michele Rossi, Xiaojing Huang, Daqing Zhang, Giuseppe Caire, Y. Jay Guo
Integrated Sensing and Communications (ISAC) has been identified as a pillar usage scenario for the impending 6G era.
1 code implementation • 21 Jan 2024 • Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu
3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space.
1 code implementation • 2 Jan 2024 • Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong liu, Jinbao Wang, Chengjie Wang, Feng Zheng
Unsupervised Anomaly Detection (UAD) with incremental training is crucial in industrial manufacturing, as unpredictable defects make obtaining sufficient labeled data infeasible.
1 code implementation • 18 Dec 2023 • Lanlan Chen, Kai Wu, Jian Lou, Jing Liu
Modeling continuous-time dynamics constitutes a foundational challenge, and uncovering inter-component correlations within complex systems holds promise for enhancing the efficacy of dynamic modeling.
no code implementations • 1 Nov 2023 • Kai Wu, YuanYuan Chen
Then the noise will be sent to an electronic control system to process the noise, which will generate a reverse phase frequency signal to counteract the disturbance.
no code implementations • 6 Oct 2023 • Yujian Betterest Li, Kai Wu
WARNING: The comparison might not be fair enough since the proposed method is designed for this data in particular while compared methods are not.
no code implementations • 2 Oct 2023 • Yujian Betterest Li, Kai Wu
Prompt engineering is a new paradigm for enhancing the performance of trained neural network models.
1 code implementation • 5 Sep 2023 • Kai Wu, Yuanyuan Li, Jing Liu
Noise is a pervasive element within real-world measurement data, significantly undermining the performance of network inference models.
no code implementations • 30 Aug 2023 • WeiFu Fu, Qiang Nie, Jialin Li, Yuhuan Lin, Kai Wu, Jian Li, Yabiao Wang, Yong liu, Chengjie Wang
In this paper, we highlight the significance of exploiting the intra-domain information between the labeled target data and unlabeled target data.
no code implementations • 29 Jun 2023 • Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang, Zhaojian Li, Yan Wang, Kai Wu
Despite great successes, model predictive control (MPC) relies on an accurate dynamical model and requires high onboard computational power, impeding its wider adoption in engineering systems, especially for nonlinear real-time systems with limited computation power.
no code implementations • 27 May 2023 • Kai Wu, Yujian Betterest Li, Jian Lou, XiaoYu Zhang, Handing Wang, Jing Liu
It is frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the services is evasion-based.
no code implementations • 24 Apr 2023 • XiaoBin Li, Kai Wu, XiaoYu Zhang, Handing Wang, Jing Liu
To achieve this, 1) drawing on the mechanism of genetic algorithm, we propose a deep neural network framework called B2Opt, which has a stronger representation of optimization strategies based on survival of the fittest; 2) B2Opt can utilize the cheap surrogate functions of the target task to guide the design of the efficient optimization strategies.
no code implementations • 19 Apr 2023 • Kai Wu, Penghui Liu, Jing Liu
Evolutionary algorithms (EAs) have emerged as a powerful framework for optimization, especially for black-box optimization.
no code implementations • 11 Apr 2023 • Xin Chen, Yuwen Qin, Weidong Zhao, Qiming Yang, Ningbo Cai, Kai Wu
Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications.
no code implementations • 13 Mar 2023 • Zijian Feng, Xin Chen, Zijian Lv, Peiyuan Sun, Kai Wu
In particular, the highest accuracy reaches 99. 68\% in evaluation, which demonstrates a good knowledge transfer ability of the proposed model for power grid topology change.
no code implementations • 27 Jan 2023 • Jiangtao Liu, Kai Wu, Tao Su, J. Andrew Zhang
Joint radar and communications (JRC) can realize two radio frequency (RF) functions using one set of resources, greatly saving hardware, energy and spectrum for wireless systems needing both functions.
no code implementations • 19 Jan 2023 • Yuanyuan Li, Kai Wu, Jing Liu
Our proposal is competitive in identifying the change points and discovering governing differential equations in three hybrid systems and two switching linear systems.
no code implementations • 28 Nov 2022 • Huixin Ma, Kai Wu, Handing Wang, Jing Liu
In this way, our proposal can better keep the advantages of previous community detection results and transfer them to the next task.
no code implementations • 11 Nov 2022 • Vinit Kumar Chugh, Arturo di Girolamo, Venkatramana D. Krishna, Kai Wu, Maxim C-J Cheeran, Jian-Ping Wang
Nowadays, there is a growing interest in the field of magnetic particle spectroscopy (MPS)-based bioassays.
no code implementations • 20 Oct 2022 • Ningbo Cai, Yuwen Qin, Xin Chen, Kai Wu
A state-coupled co-estimation method named Deep Inter and Intra-Cycle Attention Network (DIICAN) is proposed in this paper to estimate SOC, SOH, and RUL, which organizes battery measurement data into the intra-cycle and inter-cycle time scales.
no code implementations • 20 Sep 2022 • Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong liu, Chengjie Wang, Zhiheng Li
In MDRNet, the Spatial-aware Dimensionality Reduction (SDR) is designed to dynamically focus on the valuable parts of the object during voxel-to-BEV feature transformation.
no code implementations • 21 Aug 2022 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Robert W. Heath Jr., Y. Jay Guo
Most existing JCAS designs are based on digital arrays, analog arrays with tunable phase shifters, or hybrid arrays, which are effective but are generally complicated to design and power inefficient.
no code implementations • 21 Aug 2022 • Kai Wu, J. Andrew Zhang, Zhitong Ni, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen
We establish an optimization problem that modifies data symbols on sub-carriers to enhance the above-mentioned signal orthogonality.
no code implementations • 21 Aug 2022 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo
We then exploit its beneficial properties for substantially simplifying the joint user and beam selection problem.
1 code implementation • 7 Apr 2022 • Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu
Influence maximization is a crucial issue for mining the deep information of social networks, which aims to select a seed set from the network to maximize the number of influenced nodes.
no code implementations • 30 Mar 2022 • J. Andrew Zhang, Kai Wu, Xiaojing Huang, Y. Jay Guo, Daqing Zhang, Robert W. Heath Jr
Clock asynchronism is a critical issue in integrating radar sensing into communication networks.
no code implementations • 15 Mar 2022 • Kai Wu, J. Andrew Zhang, Y. Jay Guo
Fitting experiment data onto a curve is a common signal processing technique to extract data features and establish the relationship between variables.
1 code implementation • CVPR 2022 • Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong liu, Feng Zheng, Wei zhang, Chengjie Wang, Long Zeng
Pseudo-label-based semi-supervised learning (SSL) has achieved great success on raw data utilization.
no code implementations • 25 Feb 2022 • Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang
Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesian model for learning correlated tasks effectively by transferring knowledge across tasks.
1 code implementation • 4 Jan 2022 • Kai Wu, Chao Wang, Junyuan Chen, Jing Liu
Community detection (CD) from dynamics and network reconstruction (NR) from dynamics are natural synergistic tasks that motivate the proposed evolutionary multitasking NR and CD framework, called network collaborator (NC).
1 code implementation • 4 Jan 2022 • Chao Wang, Kai Wu, Jing Liu
Inspired by the characteristic of pairwise learning, the cheap AUC optimization task with a small-scale dataset sampled from the large-scale dataset is constructed to promote the AUC accuracy of the original, large-scale, and expensive AUC optimization task.
no code implementations • 19 Nov 2021 • Zhigang Ye, Chen Chen, Ruihuan Liu, Kai Wu, Zhaohong Bie, Guannan Lou, Wei Gu, Yubo Yuan
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events.
no code implementations • 6 Nov 2021 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
To meet the ever-increasing demands on better wireless communications for IIoT, we propose an orthogonal time-frequency space (OTFS) waveform-based joint communication and radio sensing (JCAS) scheme -- an energy-efficient solution for not only reliable communications but also high-accuracy sensing.
no code implementations • 9 Sep 2021 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
Extensive simulations validate the superiority of the proposed sensing framework over prior methods in terms of signal-to-IN ratios in RDMs, detecting performance and flexibility.
no code implementations • 1 Aug 2021 • Kai Wu, Vinit Kumar Chugh, Venkatramana D. Krishna, Arturo di Girolamo, Yongqiang Andrew Wang, Renata Saha, Shuang Liang, Maxim C-J Cheeran, Jian-Ping Wang
With the ongoing global pandemic of coronavirus disease 2019 (COVID-19), there is an increasing quest for more accessible, easy-to-use, rapid, inexpensive, and high accuracy diagnostic tools.
no code implementations • 28 May 2021 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
Frequency estimation is a fundamental problem in many areas.
no code implementations • 28 May 2021 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
OFDM sensing is gaining increasing popularity in wideband radar applications as well as in joint communication and radar/radio sensing (JCAS).
no code implementations • 19 Oct 2020 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
Enabled by the advancement in radio frequency technologies, the convergence of radar and communication systems becomes increasingly promising and is envisioned as a key feature of future 6G networks.
no code implementations • 29 Sep 2020 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Robert W. Heath Jr
In this paper, we develop accurate methods for a single-antenna communication receiver to estimate timing offset and channel for FH-MIMO DFRC.
no code implementations • 29 Sep 2020 • Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
How to enhance the physical layer security of FH-MIMO DFRC is vital yet unsolved.
no code implementations • 13 Jun 2020 • J. Andrew Zhang, Md Lushanur Rahman, Kai Wu, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen, Jinhong Yuan
We then introduce a framework of PMN, including the system platform and infrastructure, three types of sensing operations, and signals usable for sensing.
no code implementations • 3 Mar 2020 • Shanchao Yang, Jing Liu, Kai Wu, Mingming Li
Differently, in this paper, we are interested in a novel problem named Time Series Conditioned Graph Generation: given an input multivariate time series, we aim to infer a target relation graph modeling the underlying interrelationships between time series with each node corresponding to each time series.