no code implementations • 21 Feb 2024 • Stephan Goerttler, Fei He, Min Wu
Here, we systematically investigate the importance of spatial information relative to spectral or temporal information by varying the proportion of each dimension for AD classification.
no code implementations • 20 Feb 2024 • Stephan Goerttler, Fei He, Min Wu
Here, we combine the graph heat equation with the stochastic heat equation, which ultimately yields a model for multivariate time signals on a graph.
no code implementations • 3 Jan 2024 • Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang
The prevalent methods of segregating the ad auction and allocation into two distinct stages face two problems: 1) Ad auction does not consider externalities, such as the influence of actual display position and context on ad Click-Through Rate (CTR); 2) The ad allocation, which utilizes the auction-winning ad's payment to determine the display position dynamically, fails to maintain incentive compatibility (IC) for the advertisement.
no code implementations • 6 Dec 2023 • Stephan Goerttler, Fei He, Min Wu
The experimental section focuses on the role of graph frequency in data classification, with applications to neuroimaging.
1 code implementation • 4 Nov 2023 • Fei He, Zhiyuan Yang, Mingyue Gao, Biplab Poudel, Newgin Sam Ebin Sam Dhas, Rajan Gyawali, Ashwin Dhakal, Jianlin Cheng, Dong Xu
Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with manual inefficiencies.
no code implementations • 3 Oct 2023 • Dominik Klepl, Min Wu, Fei He
Graph neural networks (GNN) are increasingly used to classify EEG for tasks such as emotion recognition, motor imagery and neurological diseases and disorders.
no code implementations • 13 Jun 2023 • Vadim Zlotnikov, Jiayu Liu, Igor Halperin, Fei He, Lisa Huang
Crowding is widely regarded as one of the most important risk factors in designing portfolio strategies.
no code implementations • 12 Apr 2023 • Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data.
no code implementations • 5 Jan 2023 • Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang
When using such a pair to predict an object instance on the current frame, not only the generated instance is automatically associated with its precursors on previous frames, but the model gets a good prior for predicting the same object.
no code implementations • 2 Dec 2022 • Jian Jia, Fei He, Naiyu Gao, Xiaotang Chen, Kaiqi Huang
The specificity of the framework lies in a feature disentangle module, which contains learnable semantic queries and a Semantic Spatial Cross-Attention (SSCA) module.
no code implementations • 22 Jul 2022 • Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang
The proposed QueryProp contains two propagation strategies: 1) query propagation is performed from sparse key frames to dense non-key frames to reduce the redundant computation on non-key frames; 2) query propagation is performed from previous key frames to the current key frame to improve feature representation by temporal context modeling.
no code implementations • 10 Jun 2022 • Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
Cross-bispectrum, a higher-order spectral analysis, is used to measure the nonlinear FC and is compared with the cross-spectrum, which only measures the linear FC within bands.
1 code implementation • CVPR 2022 • Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang, Xin Zhao, Kaiqi Huang
To overcome these limitations, we propose a unified framework for the DPS task by applying a dynamic convolution technique to both the PS and depth prediction tasks.
no code implementations • 20 Feb 2021 • Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Fei He, Yuan Yang
Methods such as $n:m$ phase locking value and bi-phase locking value have previously been proposed to quantify phase coupling between two resonant frequencies (e. g. $f$, $2f/3$) and across three frequencies (e. g. $f_1$, $f_2$, $f_1+f_2$), respectively.
1 code implementation • 19 Feb 2021 • Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios Sarrigiannis
Energy landscape analysis is a method that can be used to quantify these dynamics.
1 code implementation • 14 Oct 2020 • Alena Butryna, Shan-Hui Cathy Chu, Isin Demirsahin, Alexander Gutkin, Linne Ha, Fei He, Martin Jansche, Cibu Johny, Anna Katanova, Oddur Kjartansson, Chenfang Li, Tatiana Merkulova, Yin May Oo, Knot Pipatsrisawat, Clara Rivera, Supheakmungkol Sarin, Pasindu De Silva, Keshan Sodimana, Richard Sproat, Theeraphol Wattanavekin, Jaka Aris Eko Wibawa
This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2020 • Fei He, Shan-Hui Cathy Chu, Oddur Kjartansson, Clara Rivera, Anna Katanova, Alex Gutkin, er, Isin Demirsahin, Cibu Johny, Martin Jansche, Supheakmungkol Sarin, Knot Pipatsrisawat
We present free high quality multi-speaker speech corpora for Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu, which are six of the twenty two official languages of India spoken by 374 million native speakers.
no code implementations • LREC 2020 • Adriana Guevara-Rukoz, Isin Demirsahin, Fei He, Shan-Hui Cathy Chu, Supheakmungkol Sarin, Knot Pipatsrisawat, Alex Gutkin, er, Alena Butryna, Oddur Kjartansson
In this paper we present a multidialectal corpus approach for building a text-to-speech voice for a new dialect in a language with existing resources, focusing on various South American dialects of Spanish.
no code implementations • 19 Mar 2020 • Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie
Across many areas, from neural tracking to database entity resolution, manual assessment of clusters by human experts presents a bottleneck in rapid development of scalable and specialized clustering methods.
no code implementations • 6 Nov 2018 • Feifan Xu, Fei He, Enze Xie, Liang Li
Ordered binary decision diagrams (OBDDs) are an efficient data structure for representing and manipulating Boolean formulas.
no code implementations • 19 May 2017 • Jose Blanchet, Yang Kang, Fan Zhang, Fei He, Zhangyi Hu
Data-driven Distributionally Robust Optimization (DD-DRO) via optimal transport has been shown to encompass a wide range of popular machine learning algorithms.
no code implementations • CVPR 2015 • Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Qi Tian
However, in a more realistic situation, one does not know in advance whether a feature is effective or not for a given query.
no code implementations • 4 Jun 2014 • Fei He, Shengjin Wang
To improve the performance of boundary detection, a Learning-based Boundary Metric (LBM) is proposed to replace $\chi^2$ difference adopted by the classical algorithm mPb.
no code implementations • 1 Jun 2014 • Liang Zheng, Shengjin Wang, Fei He, Qi Tian
Specifically, the Convolutional Neural Network (CNN) is employed to extract features from regional and global patches, leading to the so-called "Deep Embedding" framework.