no code implementations • 9 Sep 2023 • Zhuoyan Liu, Bo wang, Ye Li, Jiaxian He, Yunfeng Li
In this paper, we propose a plug-and-play Underwater joint image enhancement Module (UnitModule) that provides the input image preferred by the detector.
1 code implementation • 4 Apr 2023 • Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li
Extensive experiments on real-world benchmark datasets for downstream time series anomaly detection and forecasting tasks demonstrate that OneShotSTL is from 10 to over 1, 000 times faster than the state-of-the-art methods, while still providing comparable or even better accuracy.
no code implementations • CVPR 2023 • Ping Chen, Xingpeng Zhang, Ye Li, Ju Tao, Bin Xiao, Bing Wang, Zongjie Jiang
Inspired by the transfer learning, we designed the Delta Age AdaIN (DAA) operation to obtain the feature difference with each age, which obtains the style map of each age through the learned values representing the mean and standard deviation.
no code implementations • 3 Mar 2023 • Ye Li, Song-Can Chen, Sheng-Jun Huang
Physics-informed neural networks (PINNs) have effectively been demonstrated in solving forward and inverse differential equation problems, but they are still trapped in training failures when the target functions to be approximated exhibit high-frequency or multi-scale features.
no code implementations • 28 Jan 2023 • Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
Template mining is one of the foundational tasks to support log analysis, which supports the diagnosis and troubleshooting of large scale Web applications.
no code implementations • 9 Jan 2023 • Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei LI, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo
Therefore, based on VQNet 1. 0, we further propose VQNet 2. 0, a new generation of unified classical and quantum machine learning framework that supports hybrid optimization.
2 code implementations • 4 Jan 2023 • Yunfeng Li, Bo wang, Ye Li, Zhuoyan Liu, Wei Huo, Yueming Li, Jian Cao
The UOHT training paradigm is designed to train the sample-imbalanced underwater tracker so that the tracker is exposed to a great number of underwater domain training samples and learns the feature expressions.
no code implementations • 21 Dec 2022 • Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
Inspired by the recent success of Transformers for Natural Language Processing and vision Transformer for Computer Vision, many researchers in the medical imaging community have flocked to Transformer-based networks for various main stream medical tasks such as classification, segmentation, and estimation.
no code implementations • 13 Dec 2022 • Changwei Gong, Changhong Jing, Ye Li, Xinan Liu, Zuxin Chen, Shuqiang Wang
And models of functional addiction circuits developed from functional imaging are an effective tool for discovering and verifying addiction circuits.
no code implementations • 8 Dec 2022 • Ye Li, Yiwen Pang, Bin Shan
Neural networks, especially the recent proposed neural operator models, are increasingly being used to find the solution operator of differential equations.
no code implementations • 7 Dec 2022 • Jiashu Lou, Leyi Cui, Ye Li
In this paper, we propose a bidirectional LSTM neural network based on an attention mechanism, which is based on two popular assets, gold and bitcoin.
1 code implementation • 30 Nov 2022 • Bin Shan, Ye Li, Shengjun Huang
Although physics-informed neural networks(PINNs) have progressed a lot in many real applications recently, there remains problems to be further studied, such as achieving more accurate results, taking less training time, and quantifying the uncertainty of the predicted results.
no code implementations • 15 Nov 2022 • Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
Firstly, we propose prompt tuning for offline RL, where a context vector sequence is concatenated with the input to guide the conditional policy generation.
no code implementations • 7 Sep 2022 • Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
In this work, we proposed an efficient spatial and channel-wise encoder-decoder transformer, Spach Transformer, that can leverage spatial and channel information based on local and global MSAs.
no code implementations • 5 May 2022 • Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui
LPC-AD is motivated by the ever-increasing needs for fast and accurate MTS anomaly detection methods to support fast troubleshooting in cloud computing, micro-service systems, etc.
no code implementations • 15 Mar 2022 • Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyungsang Kim, Kuang Gong, Quanzheng Li
Our hypothesis is that by explicitly providing the local relative noise level of the input image to a deep convolutional neural network (DCNN), the DCNN can outperform itself trained on image appearance only.
no code implementations • 27 Jan 2022 • Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond.
1 code implementation • 19 Nov 2021 • Junyu Chen, Eric C. Frey, Yufan He, William P. Segars, Ye Li, Yong Du
Recently Vision Transformer architectures have been proposed to address the shortcomings of ConvNets and have produced state-of-the-art performances in many medical imaging applications.
1 code implementation • 17 Apr 2021 • Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey
The results demonstrated that the proposed method provides fast and robust lesion and bone segmentation for QBSPECT/CT.
1 code implementation • 13 Apr 2021 • Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du
However, the performances of ConvNets are still limited by lacking the understanding of long-range spatial relations in an image.
no code implementations • 11 Dec 2020 • Ye Li, Kangning Yin, Jie Liang, Chunyu Wang, Guangqiang Yin
To solve these problems, we propose a Multi-task Joint Framework for real-time person search (MJF), which optimizes the person detection, feature extraction and identity comparison respectively.
no code implementations • 26 Oct 2020 • Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li
In recent years, semi-supervised multi-view nonnegative matrix factorization (MVNMF) algorithms have achieved promising performances for multi-view clustering.
no code implementations • 1 Sep 2020 • Bram Ruijsink, Esther Puyol-Anton, Ye Li, Wenja Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
SemiQCSeg can be an efficient approach for training segmentation networks for medical image data when labelled datasets are scarce.
4 code implementations • ICLR 2021 • Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
In this paper, we identify that the main bottleneck is in the training mechanisms, where the negative instances used in training are not representative of the irrelevant documents in testing.
Ranked #7 on
Passage Retrieval
on Natural Questions
no code implementations • 3 May 2020 • Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li
In this paper, we formulate a boundary-aware context neural network (BA-Net) for 2D medical image segmentation to capture richer context and preserve fine spatial information.
no code implementations • 17 Apr 2020 • Ruxin Wang, Shuyuan Chen, Chaojie Ji, Ye Li
In this paper, we formulate a cascaded context enhancement neural network for automatic skin lesion segmentation.
no code implementations • 24 Feb 2020 • Ye Li, Guangqiang Yin, Chunhui Liu, Xiaoyu Yang, Zhiguo Wang
Triplet loss processes batch construction in a complicated and fussy way and converges slowly.
no code implementations • 14 Feb 2020 • Xing Yong Kek, Cheng Siong Chin, Ye Li
Although works have been done in using HPSS as input representation for CNN model in ASC task, this paper further investigate the possibility on leveraging the separated harmonic component and percussive component by curating 2 CNNs which tries to understand harmonic audio and percussive audio in their natural form, one specialized in extracting deep features in time biased domain and another specialized in extracting deep features in frequency biased domain, respectively.
1 code implementation • 6 Dec 2019 • Junyu Chen, Ye Li, Yong Du, Eric C. Frey
In this work, we present a novel image registration method for creating highly anatomically detailed anthropomorphic phantoms from a single digital phantom.
1 code implementation • 24 Oct 2019 • Peter H. Charlton, Jorge Mariscal Harana, Samuel Vennin, Ye Li, Phil Chowienczyk, and Jordi Alastruey
The database, containing PWs from 4, 374 virtual subjects, was verified by comparing the simulated PWs and derived indexes with corresponding in vivo data.
no code implementations • 30 Apr 2019 • Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
Based on the detected ground, the optimal walkable direction is computed and the user is then informed via converted beep sound.