63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN21 papers
- Institute of Applied Physics and Computational MathematicsCN4 papers
- Peking UniversityCN4 papers
- Chinese Academy of SciencesCN2 papers
- Harvard UniversityUS2 papers
- Kyung Hee UniversityKR2 papers
- Shanghai Artificial Intelligence LaboratoryCN2 papers
- Southeast UniversityCN2 papers
- University College LondonGB2 papers
- University of WashingtonUS2 papers
- Ajou UniversityKR1 paper
- Art Institute of PortlandUS1 paper
30 papers
Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Models
Yang Wang, Yin Xu, Cixiao Zhang +6
Reconfigurable intelligent surface (RIS) has been recognized as a promising technology for next-generation wireless communications. However, the performance of RIS-assisted systems…
Fluid Antenna System Empowering 5G NR
Hanjiang Hong, Kai-Kit Wong, Haoyang Li +5
Fluid antenna system (FAS) is an emerging technology that uses the new form of shape- and position-reconfigurable antennas to empower the physical layer for wireless communications…
Downlink OFDM-FAMA in 5G-NR Systems
Hanjiang Hong, Kai-Kit Wong, Hao Xu +5
Fluid antenna multiple access (FAMA), enabled by the fluid antenna system (FAS), offers a new and straightforward solution to massive connectivity. Previous results on FAMA were pr…
IRS Aided Millimeter-Wave Sensing and Communication: Beam Scanning, Beam Splitting, and Performance Analysis
Renwang Li, Xiaodan Shao, Shu Sun +2
Integrated sensing and communication (ISAC) has attracted growing interests for enabling the future 6G wireless networks, due to its capability of sharing spectrum and hardware res…
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma, Qisen Xu, Xiangfeng Wang +4
Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative…
Plasma kinetics: Discrete Boltzmann modelling and Richtmyer-Meshkov instability
Jiahui Song, Aiguo Xu, Long Miao +5
A discrete Boltzmann model (DBM) for plasma kinetics is proposed. The constructing of DBM mainly considers two aspects. The first is to build a physical model with sufficient physi…
Discriminative Radial Domain Adaptation
Zenan Huang, Jun Wen, Siheng Chen +2
Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain ad…
Integrating features from lymph node stations for metastatic lymph node detection
Chaoyi Wu, Feng Chang, Xiao Su +4
Metastasis on lymph nodes (LNs), the most common way of spread for primary tumor cells, is a sign of increased mortality. However, metastatic LNs are time-consuming and challenging…
Eruptions from coronal bright points: A spectroscopic view by IRIS of a mini-filament eruption, QSL reconnection, and reconnection-driven outflows
Maria S. Madjarska, Duncan H. Mackay, Klaus Galsgaard +2
The present study investigates a mini-filament eruption associated with cancelling magnetic fluxes. The eruption originates from a small-scale loop complex commonly known as a Coro…
Cooperative Learning for Noisy Supervision
Hao Wu, Jiangchao Yao, Ya Zhang +1
Learning with noisy labels has gained the enormous interest in the robust deep learning area. Recent studies have empirically disclosed that utilizing dual networks can enhance the…
A Fourier-based Framework for Domain Generalization
Qinwei Xu, Ruipeng Zhang, Ya Zhang +2
Modern deep neural networks suffer from performance degradation when evaluated on testing data under different distributions from training data. Domain generalization aims at tackl…
Collaborative Label Correction via Entropy Thresholding
Hao Wu, Jiangchao Yao, Jiajie Wang +3
Deep neural networks (DNNs) have the capacity to fit extremely noisy labels nonetheless they tend to learn data with clean labels first and then memorize those with noisy labels. W…
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning
Lyutianyang Zhang, Hao Yin, Zhanke Zhou +2
Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) mechanism…
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
Shixiang Feng, Beibei Liu, Ya Zhang +2
Differentiating Vertebral Compression Fractures (VCFs) associated with trauma and osteoporosis (benign VCFs) or those caused by metastatic cancer (malignant VCFs) are critically im…
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang, Shixiang Feng, Yuhang Zhou +2
Automatic and accurate tumor segmentation on medical images is in high demand to assist physicians with diagnosis and treatment. However, it is difficult to obtain massive amounts…
Investigation of the shortest period Am type eclipsing binary TYC 6408-989-1
Xiao-man Tian
The first BV bands photometric observations and the low-resolution spectrum of the shortest period Am type eclipsing binary TYC 6408-989-1 have been obtained. The stellar atmospher…
Receptive Multi-granularity Representation for Person Re-Identification
Guanshuo Wang, Yufeng Yuan, Jiwei Li +2
A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based feature learning appro…
Universal-to-Specific Framework for Complex Action Recognition
Peisen Zhao, Lingxi Xie, Ya Zhang +1
Video-based action recognition has recently attracted much attention in the field of computer vision. To solve more complex recognition tasks, it has become necessary to distinguis…
Morphological and non-equilibrium analysis of coupled Rayleigh-Taylor-Kelvin-Helmholtz instability
Feng Chen, Aiguo Xu, Yudong Zhang +1
In this paper, the coupled Rayleigh-Taylor-Kelvin-Helmholtz instability(RTI, KHI and RTKHI, respectively) system is investigated using a multiple-relaxation-time discrete Boltzmann…
Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
Yaping Sun, Lyutianyang Zhang, Zhiyong Chen +1
With the advent of the modern mobile traffic, e.g., online gaming, augmented reality delivery and etc., a novel bidirectional computation task model where the input data of each ta…
Geometry of quantum evolution in a nonequilibrium environment
Xiangji Cai, Ruixuan Meng, Yanhui Zhang +1
We theoretically study the geometric effect of quantum dynamical evolution in the presence of a nonequilibrium noisy environment. We derive the expression of the time dependent geo…
Equitable Coloring and Equitable Choosability of Planar Graphs without chordal 4- and 6-Cycles
Aijun Dong, Jianliang Wu
A graph is equitably -choosable if, for any given -uniform list assignment , is -colorable and each color appears on at most vert…
Collaboration and Competition Between Richtmyer-Meshkov instability and Rayleigh-Taylor instability
Feng Chen, Aiguo Xu, Guangcai Zhang
The two-dimensional Richtmyer-Meshkov Instability(RMI) system and the coexisting system combined with Rayleigh-Taylor Instability(RTI) are simulated with a multiple-relaxation time…