no code implementations • 6 May 2024 • Zihan Liao, Fan Liu, Shuangyang Li, Yifeng Xiong, Weijie Yuan, Marco Lops
In this paper, we propose a novel pulse shaping design for single-carrier integrated sensing and communication (ISAC) transmission.
no code implementations • 28 Apr 2024 • Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han
Our proposed Behavior-Contextualized Item Preference Network discerns and learns users' specific item preferences within each behavior.
1 code implementation • 17 Apr 2024 • Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang
Furthermore, these models overlook the personalized nature of user behavioral preferences by employing uniform transformation networks for all users and items.
1 code implementation • 16 Apr 2024 • Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli
This model performs high-order graph convolution on cluster-specific graphs, which are constructed by capturing the multiple interests of users and identifying the common interests among them.
no code implementations • 26 Mar 2024 • Bowen Zheng, Fan Liu
Conventional synthetic aperture radar (SAR) imaging systems typically employ deterministic signal designs, which lack the capability to convey communication information and are thus not suitable for integrated sensing and communication (ISAC) scenarios.
no code implementations • 5 Mar 2024 • Zhiqing Wei, Haotian Liu, Zhiyong Feng, Huici Wu, Fan Liu, Qixun Zhang
With the mobile communication system evolving into 6th-generation (6G), the Internet of Everything (IoE) is becoming reality, which connects human, big data and intelligent machines to support the intelligent decision making, reconfiguring the traditional industries and human life.
no code implementations • 3 Jan 2024 • Fan Liu, Tianshu Zhang, Wenwen Dai, Wenwen Cai, Xiaocong Zhou, Delong Chen
Therefore, in this survey, we introduce and analyze the research advancements in few-shot adaptation methods for multi-modal models, summarizing commonly used datasets and experimental setups, and comparing the results of different methods.
no code implementations • 27 Dec 2023 • Yunxin Li, Fan Liu, Zhen Du, Weijie Yuan, Qingjiang Shi, Christos Masouros
In this study, we propose novel frame structures that incorporate ISAC signals for three crucial stages in the NR-V2X system: initial access, connected mode, and beam failure and recovery.
no code implementations • 27 Dec 2023 • Hongliang Luo, Feifei Gao, Fan Liu, Shi Jin
Unlike most existing ISAC studies believing that only the radial velocity of far-field dynamic target can be measured based on one single base station (BS), we find that the sensing echo channel of MIMO-ISAC system actually includes the distance, horizontal angle, pitch angle, radial velocity, horizontal angular velocity, and pitch angular velocity of the dynamic target.
no code implementations • 26 Dec 2023 • Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli
Recommendation systems harness user-item interactions like clicks and reviews to learn their representations.
no code implementations • 26 Dec 2023 • Zhen Du, Fan Liu, Yifeng Xiong, Tony Xiao Han, Yonina C. Eldar, Shi Jin
To cope with this issue, we characterize the random AF of OFDM communication signals, and demonstrate that the AF variance is determined by the fourth-moment of the constellation amplitudes.
no code implementations • 22 Dec 2023 • Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli
To obtain robust and independent representations for each factor associated with a specific attribute, we first disentangle the representations of features both within and across different modalities.
no code implementations • 2 Dec 2023 • Jiaqi Zou, Christos Masouros, Fan Liu, Songlin Sun
Integrated sensing and communications (ISAC) systems employ dual-functional signals to simultaneously accomplish radar sensing and wireless communication tasks.
no code implementations • 26 Nov 2023 • Yu-Wei Zhan, Fan Liu, Xin Luo, Liqiang Nie, Xin-Shun Xu, Mohan Kankanhalli
To capitalize on these rich Human-Centric Visual Cues, we propose a novel approach named HCVC for HOI detection.
no code implementations • 13 Nov 2023 • Fuwang Dong, Fan Liu, Shihang Lu, Yifeng Xiong, Qixun Zhang, Zhiyong Feng
Exploring the mutual benefit and reciprocity of sensing and communication (S\&C) functions is fundamental to realizing deeper integration for integrated sensing and communication (ISAC) systems.
no code implementations • 27 Oct 2023 • Zhen Du, Fan Liu, Yifeng Xiong, Tony Xiao Han, Weijie Yuan, Yuanhao Cui, Changhua Yao, Yonina C. Eldar
Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for the upcoming sixth-generation wireless communication systems (6G).
no code implementations • 20 Oct 2023 • Xiao-Peng Jin, An-Dong Xiong, Wei zhang, Xiao-Qing Wang, Fan Liu, Chang-Heng Li, Xu-Ri Yao, Xue-Feng Liu, Qing Zhao
By training the network with the prior OTF of an arbitrary 128x128-pixel region and fine-tuning the network with other OTFs within rest regions of FOV, we realize both mask optimization and super-resolution imaging with up to 1020x1500 wide FOV.
no code implementations • 24 Sep 2023 • Le Zheng, Jiamin Long, Marco Lops, Fan Liu, Xueyao Hu
Colocated multiple-input multiple-output (MIMO) technology has been widely used in automotive radars as it provides accurate angular estimation of the objects with relatively small number of transmitting and receiving antennas.
no code implementations • 13 Sep 2023 • Zheng Li, Zhengyu Zhu, Zheng Chu, Yingying Guan, De Mi, Fan Liu, Lie-Liang Yang
Wireless sensing and wireless energy are enablers to pave the way for smart transportation and a greener future.
no code implementations • 5 Sep 2023 • Shihang Lu, Fan Liu, Fuwang Dong, Yifeng Xiong, Jie Xu, Ya-Feng Liu
Radar systems typically employ well-designed deterministic signals for target sensing.
no code implementations • 16 Aug 2023 • Fuwang Dong, Fan Liu, Yuanhao Cui, Shihang Lu, Yunxin Li
Sensing-as-a-service is anticipated to be the core feature of 6G perceptive mobile networks (PMN), where high-precision real-time sensing will become an inherent capability rather than being an auxiliary function as before.
1 code implementation • 6 Aug 2023 • Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli
The teacher model first extracts rich modality features from the generic modality feature by considering both the semantic information of items and the complementary information of multiple modalities.
1 code implementation • 30 Jul 2023 • Cen Liu, Guangxu Zhu, Fan Liu, Yuanwei Liu, Kaibin Huang
Simulation results demonstrate that the proposed SPEBT scheme is capable of providing precise pose estimation information and accurate beam tracking output, while reducing the proportion of beam training overhead to less than 5% averagely.
no code implementations • 27 Jul 2023 • Xiao Tong, Ang Li, Lei Lei, Fan Liu, Fuwang Dong
The problem is solved using the alternating optimization (AO) method, and the optimal solution structures for transmit precoding and receive combining matrices are derived by using Lagrangian and Karush-Kuhn-Tucker (KKT) conditions, based on which, the original problem is transformed into an equivalent quadratic programming problem, enabling more efficient solutions.
no code implementations • 24 Jul 2023 • Menglin Kong, Ruichen Li, Fan Liu, Xingquan Li, Juan Cheng, Muzhou Hou, Cong Cao
Landslide is a natural disaster that can easily threaten local ecology, people's lives and property.
1 code implementation • SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023 • Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua
Considering its challenges in effectiveness and efficiency, we propose a novel Transformer-based recommendation model, termed as Light Graph Transformer model (LightGT).
Ranked #1 on Multi-Media Recommendation on Kwai (Recall@10 metric)
no code implementations • 28 Jun 2023 • Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Fan Liu, Ce Shi, Jinpo Fan, Ping Zhang
Beam alignment is essential to compensate for the high path loss in the millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV) network.
no code implementations • 26 Jun 2023 • Zihan Liao, Fan Liu, Ang Li, Christos Masouros
In this paper, we present an innovative symbol-level precoding (SLP) approach for a wideband multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system employing faster-than-Nyquist (FTN) signaling.
1 code implementation • 25 Jun 2023 • Fan Liu, Weijia Zhang, Hao liu
Therefore, improving the adversarial robustness of these models is crucial for ITS.
1 code implementation • 19 Jun 2023 • Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Qiaolin Ye, Liyong Fu, Jun Zhou
However, these models primarily learn low-level features and require annotated data for fine-tuning.
Ranked #2 on Cross-Modal Retrieval on RSITMD (using extra training data)
1 code implementation • 17 Jun 2023 • Fan Liu, Siqi Lai, Yansong Ning, Hao liu
To address these limitations, we propose Bkd-FedGNN, a benchmark for backdoor attacks on FedGNN.
no code implementations • 23 May 2023 • Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu
Auction-based recommender systems are prevalent in online advertising platforms, but they are typically optimized to allocate recommendation slots based on immediate expected return metrics, neglecting the downstream effects of recommendations on user behavior.
no code implementations • 19 May 2023 • Fuwang Dong, Fan Liu, Shihang Lu, Weijie Yuan, Yuanhao Cui, Yifeng Xiong, Feifei Gao
In particular, a pair of transmission schemes, namely, separated S&C and dual-functional waveform designs, are proposed to optimize the sensing QoS under the constraints of the rate-distortion and power budget.
no code implementations • 1 May 2023 • Zhen Du, Fan Liu, Yunxin Li, Weijie Yuan, Yuanhao Cui, Zenghui Zhang, Christos Masouros, Bo Ai
Connected and autonomous vehicle (CAV) networks face several challenges, such as low throughput, high latency, and poor localization accuracy.
no code implementations • 30 Apr 2023 • Sai Yang, Fan Liu, Delong Chen, Jun Zhou
To address this need, we prove theoretically that leveraging ensemble learning on the base classes can correspondingly reduce the true error in the novel classes.
no code implementations • 17 Apr 2023 • Yunpu Zhang, Changsheng You, Weijie Yuan, Fan Liu, Rui Zhang
Extremely large-scale array (XL-array) has emerged as a promising technology to enhance the spectrum efficiency and spatial resolution in future wireless networks, leading to a fundamental paradigm shift from conventional far-field communications towards the new near-field communications.
1 code implementation • 28 Mar 2023 • Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng
Most existing multi-behavior models fail to capture such dependencies in a behavior chain for embedding learning.
no code implementations • 21 Mar 2023 • Fuwang Dong, Fan Liu, Shihang Lu, Yifeng Xiong
Wireless sensing has been recognized as a key enabling technology for numerous emerging applications.
no code implementations • 27 Feb 2023 • Zihan Liao, Fan Liu
In this paper, we propose a novel symbol-level precoding (SLP) method for a multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system based on faster-than-Nyquist (FTN) signaling.
no code implementations • 4 Feb 2023 • Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan Kankanhalli
Visual Commonsense Reasoning (VCR) remains a significant yet challenging research problem in the realm of visual reasoning.
no code implementations • 30 Jan 2023 • Yunxin Li, Fan Liu, Zhen Du, Weijie Yuan, Christos Masouros
The emergence of the fifth-generation (5G) New Radio (NR) brings additional possibilities to vehicle-to-everything (V2X) network with improved quality of services.
no code implementations • 24 Jan 2023 • Kecheng Zhang, Weijie Yuan, Shuangyang Li, Fan Liu, Feifei Gao, Pingzhi Fan, Yunlong Cai
The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain.
no code implementations • 1 Jan 2023 • Fuwang Dong, Wei Wang, Xin Li, Fan Liu, Sheng Chen, Lajos Hanzo
The dual-functional radar and communication (DFRC) technique constitutes a promising next-generation wireless solution, due to its benefits in terms of power consumption, physical hardware, and spectrum exploitation.
1 code implementation • 22 Dec 2022 • Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie
The booming development and huge market of micro-videos bring new e-commerce channels for merchants.
1 code implementation • 10 Nov 2022 • Yuxiang Dong, Fan Liu, Yifeng Xiong
In this letter, we investigate the joint receiver design for integrated sensing and communication (ISAC) systems, where the communication signal and the target echo signal are simultaneously received and processed to achieve a balanced performance between both functionalities.
no code implementations • 2 Nov 2022 • Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar
Integrated sensing and communications (ISAC) are envisioned to be an integral part of future wireless networks, especially when operating at the millimeter-wave (mmWave) and terahertz (THz) frequency bands.
no code implementations • 1 Nov 2022 • Shihang Lu, Xiao Meng, Zhen Du, Yifeng Xiong, Fan Liu
In this paper, we shed light on the performance gain of integrated sensing and communications (ISAC) from the perspective of channel correlations between radar sensing and communication (S&C), namely ISAC subspace correlation.
no code implementations • 23 Oct 2022 • Xiao Meng, Fan Liu, Shihang Lu, Sundeep Prabhakar Chepuri, Christos Masouros
We first show that the sensing and communication (S&C) performance can be jointly improved due to the capability of the RISs to control the ISAC channel.
no code implementations • 15 Oct 2022 • Nanchi Su, Fan Liu, Christos Masouros
Using the resulting information about potential Eves, we formulate secrecy rate expressions, that are a function of the Eves' estimation accuracy.
2 code implementations • 5 Oct 2022 • Fan Liu, Hao liu, Wenzhao Jiang
Remarkably, we also show that adversarial training with our proposed attacks can significantly improve the robustness of spatiotemporal traffic forecasting models.
no code implementations • 2 Oct 2022 • Fan Liu, Le Zheng, Yuanhao Cui, Christos Masouros, Athina P. Petropulu, Hugh Griffiths, Yonina C. Eldar
Radar and communications (R&C) as key utilities of electromagnetic (EM) waves have fundamentally shaped human society and triggered the modern information age.
1 code implementation • 27 Sep 2022 • Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan Kankanhalli
At the item level, a synthetic data generation module is proposed to generate a synthetic item corresponding to the selected item based on the user's preferences.
no code implementations • 12 Jul 2022 • Xianxin Song, Jie Xu, Fan Liu, Tony Xiao Han, Yonina C. Eldar
For the extended target case, we obtain the optimal transmit beamforming solution to minimize the CRB in closed form.
no code implementations • 6 Jul 2022 • Xiaoye Jing, Fan Liu, Christos Masouros, Yong Zeng
In this paper, we consider an airborne integrated sensing and communications (ISAC) system where a UAV, which acts both as a communication BS and a mono-static radar, flies over a given area to transmit downlink signal to a ground communication user.
1 code implementation • 22 Jun 2022 • Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Huaxi Huang, Ying Tan, Erjin Zhou
Based on this understanding, in this paper, Prototypical Contrastive Language Image Pretraining (ProtoCLIP) is introduced to enhance such grouping by boosting its efficiency and increasing its robustness against the modality gap.
1 code implementation • 16 Jun 2022 • Delong Chen, Ruizhi Zhou, Yanling Pan, Fan Liu
Specifically, training of FloodDAN includes two stages: in the first stage, we train a rainfall encoder and a prediction head to learn general transferable hydrological knowledge on large-scale source domain data; in the second stage, we transfer the knowledge in the pretrained encoder into the rainfall encoder of target domain through adversarial domain alignment.
1 code implementation • Journal of Computer Science and Technology 2022 • Fan Liu, Delong Chen, Ruizhi Zhou, Sai Yang, Feng Xu
Therefore, we propose a novel Music Motion Synchronized Generative Adversarial Network (M2S-GAN), which generates motions according to the automatically learned music representations.
1 code implementation • 26 May 2022 • Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
In particular, we design a cascading residual graph convolutional network structure, which enables our model to learn user preferences by continuously refining user embeddings across different types of behaviors.
no code implementations • 24 May 2022 • Xiao Meng, Fan Liu, Christos Masouros, Weijie Yuan, Qixun Zhang, Zhiyong Feng
In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries.
no code implementations • 23 Apr 2022 • Xianxin Song, Jie Xu, Fan Liu, Tony Xiao Han, Yonina C. Eldar
This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is deployed to assist an access point (AP) to sense a target in its NLoS region.
1 code implementation • 22 Mar 2022 • Xiaokang Yang, Gongmin Yan, Fan Liu, Bofan Guan, Sihai Li
Compared with the Monte-Carlo method and other method based on covariance matrix, the proposed method uses more complete error model, considers the interaction effect of error sources and can be easily realized with less computation.
1 code implementation • 10 Mar 2022 • Fan Liu, Huilin Chen, Zhiyong Cheng, AnAn Liu, Liqiang Nie, Mohan Kankanhalli
However, existing methods ignore the fact that different modalities contribute differently towards a user's preference on various factors of an item.
no code implementations • 21 Feb 2022 • Fuwang Dong, Fan Liu, Yuanhao Cui, Wei Wang, Kaifeng Han, Zhiqin Wang
Then, we establish a unified framework for ISAC resource allocation, where the fairness and the comprehensiveness optimization criteria are considered for the aforementioned sensing services.
no code implementations • 19 Feb 2022 • Xinyu Li, Yuanhao Cui, J. Andrew Zhang, Fan Liu, Daqing Zhang, Lajos Hanzo
In this article, we provide a review of human related sensing in the context of ISAC.
no code implementations • 9 Feb 2022 • Tongyang Xu, Fan Liu, Christos Masouros, Izzat Darwazeh
This experimental work focuses on a dual-functional radar sensing and communication framework where a single radiation waveform, either omnidirectional or directional, can realize both radar sensing and communication functions.
1 code implementation • 10 Jan 2022 • Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng
The session embedding is then generated by aggregating the item embeddings with attention weights of each item's factors.
no code implementations • 19 Nov 2021 • Zhen Du, Fan Liu, Weijie Yuan, Christos Masouros, Zenghui Zhang, Shuqiang Xia, Giuseppe Caire
The first stage is exploited for ISAC transmission, where a wide beam is adopted for both communication and sensing.
no code implementations • 27 Sep 2021 • Xiaoyan Hu, Christos Masouros, Fan Liu, Ronald Nissel
In this paper, we explore a dual-functional radar-communication (DFRC) system for achieving integrated sensing and communications (ISAC).
1 code implementation • 16 Aug 2021 • Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi
As the standardization of 5G is being solidified, researchers are speculating what 6G will be.
2 code implementations • 28 Jul 2021 • Delong Chen, Fan Liu, Zewen Li, Feng Xu
In this demo, we present VirtualConductor, a system that can generate conducting video from any given music and a single user's image.
no code implementations • 20 Jul 2021 • Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Xiaohui Peng, Tony Xiao Han, Chengzhong Xu
Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human motion recognition.
1 code implementation • 20 Jul 2021 • Delong Chen, Fan Liu, Zheqi Zhang, Xiaomin Lu, Zewen Li
Several parallel graph neural networks are separately trained on wavelet decomposed data, and the reconstruction of each model's prediction forms the final SWH prediction.
no code implementations • 20 Jul 2021 • Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang
Conventionally, the sensing and communication stages are executed sequentially, which results in excessive amount of dataset generation and uploading time.
no code implementations • 16 Jul 2021 • Zhongxiang Wei, Fan Liu, Christos Masouros, Nanchi Su, Athina P. Petropulu
At the same time, the sensing capability incorporated in the ISAC transmission offers unique opportunities to design secure ISAC techniques.
no code implementations • 10 Jul 2021 • Nanchi Su, Fan Liu, Zhongxiang Wei, Ya-Feng Liu, Christos Masouros
We study security solutions for dual-functional radar communication (DFRC) systems, which detect the radar target and communicate with downlink cellular users in millimeter-wave (mmWave) wireless networks simultaneously.
1 code implementation • ICML Workshop AML 2021 • Fan Liu, Shuyu Zhao, Xuelong Dai, Bin Xiao
Although adversarial training (AT) methods such as Adversarial Query (AQ) can improve the adversarially robust performance of meta-learning models, AT is still computationally expensive training.
no code implementations • 23 Apr 2021 • Yuanhao Cui, Fan Liu, Xiaojun Jing, Junsheng Mu
Meanwhile, triggered by ISAC, we are also witnessing a paradigm shift in the ubiquitous IoT architecture, in which the sensing and communication layers are tending to converge into a new layer, namely, the signaling layer.
no code implementations • 16 Apr 2021 • Aryan Kaushik, Christos Masouros, Fan Liu
In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF chains, and sub-arrayed multiple-input multiple-output (MIMO) radar based joint radar-communication (JRC) systems.
1 code implementation • 25 Feb 2021 • J. Andrew Zhang, Fan Liu, Christos Masouros, Robert W. Heath Jr., Zhiyong Feng, Le Zheng, Athina Petropulu
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal.
1 code implementation • 22 Feb 2021 • Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie
To demonstrate the effectiveness of our method, we design a light attention neural network to integrate both item-level and feature-level attention for neural ICF models.
1 code implementation • 19 Feb 2021 • Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie
To form the subgraphs, we design an unsupervised subgraph generation module, which can effectively identify users with common interests by exploiting both user feature and graph structure.
no code implementations • 29 Jan 2021 • Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar
We employ the Cram\'er-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios.
no code implementations • 18 Jan 2021 • Zhaoyi Xu, Fan Liu, Konstantinos Diamantaras, Christos Masouros, Athina Petropulu
In this paper, we propose an energy-efficient radar beampattern design framework for a Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) system, equipped with a hybrid analog-digital (HAD) beamforming structure.
1 code implementation • 4 Nov 2020 • Sven Buder, Sanjib Sharma, Janez Kos, Anish M. Amarsi, Thomas Nordlander, Karin Lind, Sarah L. Martell, Martin Asplund, Joss Bland-Hawthorn, Andrew R. Casey, Gayandhi M. De Silva, Valentina D'Orazi, Ken C. Freeman, Michael R. Hayden, Geraint F. Lewis, Jane Lin, Katharine. J. Schlesinger, Jeffrey D. Simpson, Dennis Stello, Daniel B. Zucker, Tomaz Zwitter, Kevin L. Beeson, Tobias Buck, Luca Casagrande, Jake T. Clark, Klemen Cotar, Gary S. Da Costa, Richard de Grijs, Diane Feuillet, Jonathan Horner, Shourya Khanna, Prajwal R. Kafle, Fan Liu, Benjamin T. Montet, Govind Nandakumar, David M. Nataf, Melissa K. Ness, Lorenzo Spina, Gregor Traven, Thor Trepper-Garcia, Yuan-Sen Ting, Rok Vogrincic, Robert A. Wittenmyer, Marusa Zerjal, the GALAH collaboration
Based on kinematics, 4% are halo stars.
Astrophysics of Galaxies Solar and Stellar Astrophysics
no code implementations • 9 Jun 2020 • Fan Liu, Delong Chen, Fei Wang, Zewen Li, Feng Xu
Face recognition under this situation is referred to as single sample face recognition and poses significant challenges to the effective training of deep models.
no code implementations • 9 Jun 2020 • Delong Chen, Shunhui Ji, Fan Liu, Zewen Li, Xinyu Zhou
The pandemic of COVID-19 has caused millions of infections, which has led to a great loss all over the world, socially and economically.
no code implementations • 15 May 2020 • Weijie Yuan, Fan Liu, Christos Masouros, Jinhong Yuan, Derrick Wing Kwan Ng, Nuria Gonzalez-Prelcic
To accurately estimate the motion parameters of vehicles in real-time, we propose a novel message passing algorithm based on factor graph, which yields near optimal solution to the maximum a posteriori estimation.
no code implementations • 1 Apr 2020 • Zewen Li, Wenjie Yang, Shouheng Peng, Fan Liu
In this review, we aim to provide novel ideas and prospects in this fast-growing field as much as possible.
no code implementations • 20 Mar 2020 • Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
Considering the fact that for different users, the attributes of an item have different influence on their preference for this item, we design a novel attention mechanism to filter the message passed from an item to a target user by considering the attribute information.
1 code implementation • 21 Aug 2019 • Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli
To tackle this problem, in this paper, we propose a novel Multimodal Attentive Metric Learning (MAML) method to model user diverse preferences for various items.
1 code implementation • 7 Jan 2019 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin
It is proved that the recently proposed truncated nuclear norm (TNN) can replace the traditional nuclear norm, as an improved approximation to the rank of a matrix.
no code implementations • 7 Jan 2019 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin
The truncated nuclear norm regularization (TNNR) method is applicable in real-world scenarios.
1 code implementation • 3 Dec 2017 • Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin
Currently, low-rank tensor completion has gained cumulative attention in recovering incomplete visual data whose partial elements are missing.