422 citations · 867 across the 22 of their papers we have counts for
22 papers
Reverse Attitude Statistics Based Star Map Identification Method
Shunmei Dong, Qinglong Wang, Haiqing Wang +1
The star tracker is generally affected by the atmospheric background light and the aerodynamic environment when working in near space, which results in missing stars or false stars…
Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning
Qiang Wang, Junlong Du, Ke Yan +1
The Contrastive Language-Image Pre-training (CLIP) has recently shown remarkable generalization on "zero-shot" training and has applied to many downstream tasks. We explore the ada…
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Qianqian Wang, Wei Wang, Yuqi Fang +5
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous neural activities in brain and is widely used for brain disorder analysis.Previous studies pro…
A general positivity-preserving algorithm for implicit high-order finite volume schemes solving the Euler and Navier-Stokes equations
Qian-Min Huang, Yu-Xin Ren, Qian Wang
This paper presents a general positivity-preserving algorithm for implicit high-order finite volume schemes solving Euler and Navier-Stokes equations. Previous positivity-preservin…
Backdoor Attack with Sparse and Invisible Trigger
Yinghua Gao, Yiming Li, Xueluan Gong +3
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where the adversary manipulates a small portion of training data such that the victim model predicts normally on the…
Deep Joint Source-Channel Coding for Wireless Image Transmission with Entropy-Aware Adaptive Rate Control
Weixuan Chen, Yuhao Chen, Qianqian Yang +3
Adaptive rate control for deep joint source and channel coding (JSCC) is considered as an effective approach to transmit sufficient information in scenarios with limited communicat…
Rethinking k-means from manifold learning perspective
Quanxue Gao, Qianqian Wang, Han Lu +2
Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points. However, the performance of k…
Multi-View Clustering via Semi-non-negative Tensor Factorization
Jing Li, Quanxue Gao, Qianqian Wang +2
Multi-view clustering (MVC) based on non-negative matrix factorization (NMF) and its variants have received a huge amount of attention in recent years due to their advantages in cl…
Nature of in and decays
Hao-Nan Wang, Li-Sheng Geng, Qian Wang +1
We investigate the decays of and based on the picture where the resonance is strongly coupled to the chann…
Whole Page Unbiased Learning to Rank
Haitao Mao, Lixin Zou, Yujia Zheng +5
The page presentation biases in the information retrieval system, especially on the click behavior, is a well-known challenge that hinders improving ranking models' performance wit…
An Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation
Leiyang Xu, Qiang Wang, Xiaotian Lin +1
Temporal action segmentation (TAS) aims to classify and locate actions in the long untrimmed action sequence. With the success of deep learning, many deep models for action segment…
Automatic dataset generation for specific object detection
Xiaotian Lin, Leiyang Xu, Qiang Wang
In the past decade, object detection tasks are defined mostly by large public datasets. However, building object detection datasets is not scalable due to inefficient image collect…
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition
Lin Yuan, Zhen He, Qiang Wang +2
Human action recognition is a quite hugely investigated area where most remarkable action recognition networks usually use large-scale coarse-grained action datasets of daily human…
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao, Juan Zhai, Shiqing Ma +3
With Deep Neural Network (DNN) being integrated into a growing number of critical systems with far-reaching impacts on society, there are increasing concerns on their ethical perfo…
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice
Yunjie Ge, Qian Wang, Jingfeng Zhang +3
People are not always receptive to their voice data being collected and misused. Training the audio intelligence systems needs these data to build useful features, but the cost for…
Towards Benchmarking and Evaluating Deepfake Detection
Chenhao Lin, Jingyi Deng, Pengbin Hu +3
Deepfake detection automatically recognizes the manipulated medias through the analysis of the difference between manipulated and non-altered videos. It is natural to ask which are…
Recent Advances in Tunable Metasurfaces: Materials, Design and Applications
Omar A. M. Abdelraouf, Ziyu Wang, Hailong Liu +6
Metasurfaces, a two-dimensional (2D) form of metamaterials constituted by planar meta-atoms, exhibit exotic abilities to freely tailor electromagnetic (EM) waves. Over the past dec…
The lineshape of the compact fully heavy tetraquark
Zejian Zhuang, Ying Zhang, Yuanzhuo Ma +1
Hadrons and their distributions are the most direct observables in experiment, which would shed light on the non-perturbative mystery of quantum chromodynamics (QCD). As the result…
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia, Quanxue Gao, Ming Yang +1
Attributed graph clustering, which learns node representation from node attribute and topological graph for clustering, is a fundamental but challenging task for graph analysis. Re…
Effective and Efficient Graph Learning for Multi-view Clustering
Quanxue Gao, Wei Xia, Xinbo Gao +3
Despite the impressive clustering performance and efficiency in characterizing both the relationship between data and cluster structure, existing graph-based multi-view clustering…
Electron-Ion Collider in China
Daniele P. Anderle, Valerio Bertone, Xu Cao +99
Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei. As a future high energy nuclear physics project,…
Multi-Image Semantic Matching by Mining Consistent Features
Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis
This work proposes a multi-image matching method to estimate semantic correspondences across multiple images. In contrast to the previous methods that optimize all pairwise corresp…