1 code implementation • 4 Jun 2024 • Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
To bridge the gap between the decentralized time series data and the centralized anomaly detection algorithms, we propose a Parameter-efficient Federated Anomaly Detection framework named PeFAD with the increasing privacy concerns.
no code implementations • 4 Nov 2023 • Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang
In our framework, A pre-trained language model like BERT is deployed to simultaneously perform prediction and rationalization with less impact from interlocking or spurious correlations.
no code implementations • 5 Sep 2023 • Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang
Spatial time series imputation is critically important to many real applications such as intelligent transportation and air quality monitoring.
1 code implementation • 21 Jun 2023 • Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang
In this paper, we propose a novel image mix method, PatchMix, for contrastive learning in Vision Transformer (ViT), to model inter-instance similarities among images.
1 code implementation • 5 Jun 2023 • Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
Asymmetric appearance between positive pair effectively reduces the risk of representation degradation in contrastive learning.
1 code implementation • 17 Dec 2022 • Tao Sheng, Chengchao Shen, YuAn Liu, Yeyu Ou, Zhe Qu, Jianxin Wang
It introduces a global Generative Adversarial Network to model the global data distribution without access to local datasets, so the global model can be trained using the global information of data distribution without privacy leakage.
no code implementations • 9 Oct 2022 • Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He
To address this challenge, in this paper, we introduce a new method called coded residual transform (CRT) for deep metric learning to significantly improve its generalization capability.
no code implementations • 6 Aug 2022 • Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
In conclusion, TripHLApan is a powerful tool for predicting the binding of HLA-I and HLA-II molecular peptides for the synthesis of tumor vaccines.
1 code implementation • 11 Jul 2022 • Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
To mimic these behaviors, we propose to explore contextual relationships to boost the performance of cervical abnormal cell detection.
1 code implementation • 28 Jun 2022 • Jiewen Xiao, Wenbin Liao, Ming Zhang, Jing Wang, Jianxin Wang, Yihua Yang
Molecular and morphological characters, as important parts of biological taxonomy, are contradictory but need to be integrated.
no code implementations • 27 Jun 2022 • Wenbin Liao, Jiewen Xiao, Chengbo Zhao, Yonggong Han, ZhiJie Geng, Jianxin Wang, Yihua Yang
In this paper, we propose a new model based on attention-mechanism, MushroomNet, which applies the lightweight network MobileNetV3 as the backbone model, combined with the attention structure proposed by us, and has achieved excellent performance in the mushroom recognition task.
1 code implementation • 31 May 2022 • Jianxin Wang, José Bento
The asymptotic mean squared test error and sensitivity of the Random Features Regression model (RFR) have been recently studied.
1 code implementation • 2 Apr 2022 • Xu Tian, Jin Liu, Hulin Kuang, Yu Sheng, Jianxin Wang, the Alzheimer's Disease Neuroimaging Initiative
First, a multi-task learning network is proposed to implement AD detection and MMSE score prediction, which exploits feature correlation by adding three multi-task interaction layers between the backbones of the two tasks.
1 code implementation • ACM Transactions on Knowledge Discovery from Data 2022 • Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li
For a given group of stocks, the proposed TRAN model can output the ranking results of stocks according to their return ratios.
no code implementations • IEEE International Conference on Bioinformatics and Biomedicine 2022 • Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang
The two types of features are entered into the parallel encoders paths with residual attention for extracting feature representation, and then fused into a channel-spatial attention module to adaptively focus on the important features between channel and spatial part for the classification task.
Ranked #9 on Audio Classification on ICBHI Respiratory Sound Database (using extra training data)
no code implementations • 10 Oct 2021 • Feng Shi, Frank Neumann, Jianxin Wang
Following how evolutionary algorithms are applied to solve the MSTP, we first consider the evolutionary algorithms with search points in edge-based representation adapted to the 2H-(1, 2)-MSTP (including the (1+1) EA, Global Simple Evolutionary Multi-Objective Optimizer and its two variants).
no code implementations • 24 Jan 2020 • Feng Shi, Frank Neumann, Jianxin Wang
Randomized search heuristics such as evolutionary algorithms are frequently applied to dynamic combinatorial optimization problems.