1 code implementation • 4 Apr 2024 • Hongruixuan Chen, Jian Song, Chengxi Han, Junshi Xia, Naoto Yokoya
For the change decoder, which is available in all three architectures, we propose three spatio-temporal relationship modeling mechanisms, which can be naturally combined with the Mamba architecture and fully utilize its attribute to achieve spatio-temporal interaction of multi-temporal features, thereby obtaining accurate change information.
Ranked #1 on 2D Semantic Segmentation on xBD
1 code implementation • 9 Mar 2024 • Xinlei Shao, Hongruixuan Chen, Kirsty Magson, Jiaqi Wang, Jian Song, Jundong Chen, Jun Sasaki
A dataset containing over 20, 000 high-resolution coral images of different health conditions and stressors was constructed based on the field survey.
1 code implementation • 6 Mar 2024 • Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
Pre-training has been investigated to improve the efficiency and performance of training neural operators in data-scarce settings.
no code implementations • 24 Feb 2024 • Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
We envisage that OAG-Bench can serve as a common ground for the community to evaluate and compare algorithms in academic graph mining, thereby accelerating algorithm development and advancement in this field.
no code implementations • 17 Jan 2024 • Hongruixuan Chen, Jian Song, Naoto Yokoya
In this study, we explore unsupervised multimodal change detection between two key remote sensing data sources: optical high-resolution imagery and OpenStreetMap (OSM) data.
no code implementations • 21 Dec 2023 • Yunfeng Wen, Fang Yang, Jian Song, Zhu Han
Integrated sensing and communication (ISAC) is viewed as a crucial component of future mobile networks and has gained much interest in both academia and industry.
no code implementations • 27 Nov 2023 • Jianxiong Li, Shichao Lin, Tianyu Shi, Chujie Tian, Yu Mei, Jian Song, Xianyuan Zhan, Ruimin Li
Specifically, we combine well-established traffic flow theory with machine learning to construct a reward inference model to infer the reward signals from coarse-grained traffic data.
no code implementations • 26 Oct 2023 • Guanhua Wang, Fang Yang, Jian Song, Zhu Han
The sixth-generation (6G) network is expected to achieve global coverage based on the space-air-ground integrated network, and the latest satellite network will play an important role in it.
1 code implementation • 4 Oct 2023 • Hongruixuan Chen, Cuiling Lan, Jian Song, Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya
Optical high-resolution imagery and OpenStreetMap (OSM) data are two important data sources for land-cover change detection.
no code implementations • 2 Oct 2023 • Yebo Gu, Tao Shen, Jian Song, Qingbo Wang
At the same time, selecting a NORAN design with ideal security performance from a large number of design options is also a challenging problem.
1 code implementation • 1 Oct 2023 • Hongruixuan Chen, Jian Song, Chen Wu, Bo Du, Naoto Yokoya
Change detection (CD) is a critical task in studying the dynamics of ecosystems and human activities using multi-temporal remote sensing images.
1 code implementation • 5 Sep 2023 • Jian Song, Hongruixuan Chen, Naoto Yokoya
However, when it comes to remote sensing image processing, the creation of synthetic datasets becomes challenging due to the demand for larger-scale and more diverse 3D models.
no code implementations • 26 Jun 2023 • Yuanzheng Ma, Xinyue Wang, Benqi Zhao, Ying Xiao, Shijie Deng, Jian Song, Xun Guan
Deep learning-based super-resolution models have the potential to revolutionize biomedical imaging and diagnoses by effectively tackling various challenges associated with early detection, personalized medicine, and clinical automation.
2 code implementations • 28 Feb 2023 • Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
However, there are several challenges for learning operators in practical applications like the irregular mesh, multiple input functions, and complexity of the PDEs' solution.
no code implementations • 6 Jan 2023 • Yang Xu, Fatemeh Pourahmadian, Jian Song, Conglin Wang
This study takes advantage of recent advances in machine learning to establish a physics-based data analytic platform for distributed reconstruction of mechanical properties in layered components from full waveform data.
no code implementations • 16 Oct 2022 • Jian Song, Di Liang, Rumei Li, Yuntao Li, Sirui Wang, Minlong Peng, Wei Wu, Yongxin Yu
Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching.
no code implementations • COLING 2022 • Sirui Wang, Di Liang, Jian Song, Yuntao Li, Wei Wu
To alleviate this problem, we propose a novel Dual Attention Enhanced BERT (DABERT) to enhance the ability of BERT to capture fine-grained differences in sentence pairs.
no code implementations • 15 Sep 2022 • Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
In this paper, we present a novel bi-level optimization framework to resolve the challenge by decoupling the optimization of the targets and constraints.
no code implementations • 28 Aug 2022 • Tian Cao, Shihan Chen, Tianfeng Wu, Changyong Pan, Jian Song
Previous studies on the temporal characteristics of single-scatter transmission in non-line-of-sight (NLOS) ultraviolet communications (UVC) were based on the prolate-spheroidal coordinate system.
no code implementations • 9 Jun 2022 • Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
Under the GSmooth framework, we present a scalable algorithm that uses a surrogate image-to-image network to approximate the complex transformation.
no code implementations • 26 Nov 2021 • Deshui Miao, JiaQi Zhang, WenBo Xie, Jian Song, Xin Li, Lijuan Jia, Ning Guo
In this paper, adversarial training is performed to generate challenging and harder learning adversarial examples over the embedding space of NLP as learning pairs.
2 code implementations • 17 Aug 2021 • Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
To achieve the contrastive objective, we design a graph neural network encoder that can infer and further remove suspicious links during message passing, as well as learn the global context of the input graph.
no code implementations • 26 May 2021 • Jiajia Li, Peihua Feng, Liang Zhao, Junying Chen, Mengmeng Du, Yangyang Yu, Jian Song, Ying Wu
Our simulation results show that the increase of the IP3 noise intensity induces the depolarization-block epileptic seizures together with an increase in neuronal firing frequency.
1 code implementation • 1 May 2021 • Zhilin Lu, Xudong Zhang, Hongyi He, Jintao Wang, Jian Song
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better spectrum and energy efficiency in 5G system.
no code implementations • 12 Mar 2021 • Jian Song, Yimin Xiao, Wangjun Yuan
We derive a system of stochastic partial differential equations satisfied by the eigenvalues of the symmetric matrix whose entries are the Brownian sheets.
Probability
no code implementations • 4 Feb 2021 • Jian Song, Samy Tindel
Given a continuous Gaussian process $x$ which gives rise to a $p$-geometric rough path for $p\in (2, 3)$, and a general continuous process $y$ controlled by $x$, under proper conditions we establish the relationship between the Skorohod integral $\int_0^t y_s {\mathrm{d}}^\diamond x_s$ and the Stratonovich integral $\int_0^t y_s {\mathrm{d}} {\mathbf x}_s$.
Probability
no code implementations • 17 Jan 2021 • Zhilin Lu, Hongyi He, Zhengyang Duan, Jintao Wang, Jian Song
In frequency division duplexing (FDD) mode, it is necessary to send the channel state information (CSI) from user equipment to base station.
1 code implementation • 5 Nov 2020 • Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is essential for the base station to achieve high performance gain.
1 code implementation • 31 Oct 2019 • Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS).
no code implementations • 9 Aug 2018 • Banghua Zhu, Jintao Wang, Longzhuang He, Jian Song
The simulation results show that the performance of neural network based system is superior to traditional modulation and equalization methods in terms of time complexity and bit error rate (BER) under fading channels.