1 code implementation • 25 Dec 2024 • Xiao Zhang, Shaoxuan Wu, Peilin Zhang, Zhuo Jin, Xiaosong Xiong, Qirong Bu, Jingkun Chen, Jun Feng
Experimental results on three public datasets ACDC, MSCMRseg, and CHAOS show that HELPNet significantly outperforms state-of-the-art methods for scribble-based weakly supervised segmentation and achieves performance comparable to fully supervised methods.
1 code implementation • 7 Dec 2024 • Jun Feng, Xueyi Liu, Jiamin Lu, Pingping Shao
Accurate flood prediction is crucial for disaster prevention and mitigation.
1 code implementation • 20 Jun 2024 • Shaoxuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li, Jun Feng
In this paper, we propose a novel gaze-directed Vision GNN (called GD-ViG) to leverage the visual patterns of radiologists from gaze as expert knowledge, directing the network toward disease-relevant regions, and thereby mitigating shortcut learning.
no code implementations • 17 Apr 2024 • Hongzhao Li, Hongyu Wang, Xia Sun, Hua He, Jun Feng
Our method introduces a prompt-guided approach to generate structured chest X-ray reports using a pre-trained large language model (LLM).
2 code implementations • 6 Feb 2024 • Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng chen, Zitong Yu, Xiaochun Cao
For the face forgery detection task, we evaluate GAN-based and diffusion-based data with both visual and acoustic modalities.
no code implementations • 8 Jan 2024 • Joseph C. Kim, David Bloore, Karan Kapoor, Jun Feng, Ming-Hong Hao, Mengdi Wang
We demonstrate that standard architectures and training strategies, such as maximum likelihood alone, fail while our novel architecture and multi-stage training strategy are able to model the conformational distributions of protein G and HP35.
no code implementations • 20 Jul 2023 • Ephrem Afele Retta, Richard Sutcliffe, Jabar Mahmood, Michael Abebe Berwo, Eiad Almekhlafi, Sajjad Ahmed Khan, Shehzad Ashraf Chaudhry, Mustafa Mhamed, Jun Feng
For English, German and Urdu we use the existing RAVDESS, EMO-DB and URDU datasets.
no code implementations • 5 May 2022 • Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang
In this paper, we propose a method, named Invariant Content Synergistic Learning (ICSL), to improve the generalization ability of DCNNs on unseen datasets by controlling the inductive bias.
1 code implementation • 29 Jan 2022 • Mustafa Mhamed, Richard Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi, Ephrem A. Retta
This SCM+MMA model is applied to SudSenti2 and SudSenti3 with accuracies of 92. 75% and 84. 39%.
no code implementations • 20 Jan 2022 • Ephrem A. Retta, Richard Sutcliffe, Eiad Almekhlafi, Yosef K. Enku, Eyob Alemu, Tigist D. Gemechu, Michael A. Berwo, Mustafa Mhamed, Jun Feng
In this paper, we create EMIR, the first-ever Music Information Retrieval dataset for Ethiopian music.
no code implementations • 7 Jan 2022 • Ephrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe, Mustafa Mhamed, Haider Ali, Jun Feng
This was done by training two VGGb SER models on ASED, one using Mel-spectrograms and the other using MFCC.
no code implementations • 7 Feb 2021 • Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng
Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in a variety of tasks.
no code implementations • 4 Feb 2021 • Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng
Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in Euclidean structure data.
no code implementations • 16 Jan 2020 • Youchuan Hu, Le Yan, Tingting Hang, Jun Feng
Stream-flow forecasting for small rivers has always been of great importance, yet comparatively challenging due to the special features of rivers with smaller volume.
no code implementations • 12 Nov 2019 • Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Xiaocong Yuan
The secret image can be recovered when identical illumination patterns are projected onto multiple visual key images and a single detector is used to record the total light intensities.
no code implementations • 31 Oct 2019 • Shuming Jiao, Yang Gao, Jun Feng, Ting Lei, Xiaocong Yuan
Despite the success, the limitations and drawbacks of deep learning in optical imaging have been seldom investigated.
no code implementations • 17 Aug 2019 • Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen
Next, a leaf cluster is used to generate one of the multiple kernels, and two corresponding predecessor clusters are used to fine-tune the adopted kernel.
no code implementations • 7 Jun 2019 • Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen
GCNNs are capable of extracting the geometric features of each fiber tract and harnessing the resulting features for accurate fiber parcellation and ultimately avoiding the use of atlases and any registration method.
no code implementations • 24 Apr 2019 • Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan
Like an optical computer, the system can perform machine learning tasks such as number digit recognition in an all-optical manner.
no code implementations • 24 Feb 2019 • Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng
In this paper, we investigate the task of aggregating search results from heterogeneous sources in an E-commerce environment.
Hierarchical Reinforcement Learning
reinforcement-learning
+4
no code implementations • 3 Nov 2018 • Jun Feng, Minlie Huang, Yijie Zhang, Yang Yang, Xiaoyan Zhu
Experimental results show that our model is effective to extract relation mentions from noisy data.
no code implementations • 17 Sep 2018 • Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu
The first one is lack of collaboration between scenarios meaning that each strategy maximizes its own objective but ignores the goals of other strategies, leading to a sub-optimal overall performance.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
2 code implementations • 24 Aug 2018 • Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu
In this paper, we propose a novel model for relation classification at the sentence level from noisy data.
no code implementations • 4 Jun 2018 • Jun Feng, Shuming Jiao, Yang Gao, Ting Lei, Xiaocong Yuan
Single-pixel imaging (SPI) has a major drawback that many sequential illuminations are required for capturing one single image with long acquisition time.
1 code implementation • COLING 2016 • Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu
Knowledge embedding, which projects triples in a given knowledge base to d-dimensional vectors, has attracted considerable research efforts recently.
no code implementations • 20 May 2015 • Jun Feng, Mantong Zhou, Yu Hao, Minlie Huang, Xiaoyan Zhu
TransF regards relation as translation between head entity vector and tail entity vector with flexible magnitude.
no code implementations • 23 Apr 2014 • Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
Click prediction is one of the fundamental problems in sponsored search.