Search Results for author: Jian Song

Found 33 papers, 12 papers with code

SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery

no code implementations26 Jun 2024 Jian Song, Hongruixuan Chen, Weihao Xuan, Junshi Xia, Naoto Yokoya

To further enhance its utility, we develop a novel multi-task unsupervised domain adaptation (UDA) method, RS3DAda, coupled with our synthetic dataset, which facilitates the RS-specific transition from synthetic to real scenarios for land cover mapping and height estimation tasks, ultimately enabling global monocular 3D semantic understanding based on synthetic data.

Earth Observation Synthetic Data Generation +1

Break the Chain: Large Language Models Can be Shortcut Reasoners

no code implementations4 Jun 2024 Mengru Ding, Hanmeng Liu, Zhizhang Fu, Jian Song, WenBo Xie, Yue Zhang

We propose the integration of human-like heuristics and shortcuts into language models (LMs) through "break the chain" strategies.

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition

1 code implementation12 May 2024 Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu

This study introduces a novel Supervised Info-enhanced Contrastive Learning framework for EEG based Emotion Recognition (SICLEER).

Contrastive Learning EEG +1

ChangeMamba: Remote Sensing Change Detection with Spatio-Temporal State Space Model

1 code implementation4 Apr 2024 Hongruixuan Chen, Jian Song, Chengxi Han, Junshi Xia, Naoto Yokoya

Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD).

2D Semantic Segmentation Attribute +1

Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry

1 code implementation9 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.

Decision Making Ensemble Learning +1

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

1 code implementation6 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.

Denoising Diversity

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining

no code implementations24 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.

Graph Mining

Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)

no code implementations17 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.

Change Detection Segmentation

Optical Integrated Sensing and Communication: Architectures, Potentials and Challenges

no code implementations21 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.

A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning

no code implementations27 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.

Offline RL Reinforcement Learning (RL)

Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends

no code implementations26 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.


Enhancing Secrecy Capacity in PLS Communication with NORAN based on Pilot Information Codebooks

no code implementations2 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.

Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange

1 code implementation1 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.

Change Detection Image Enhancement +1

SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection

1 code implementation5 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.

Change Detection Diversity

Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image

no code implementations26 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.


GNOT: A General Neural Operator Transformer for Operator Learning

2 code implementations28 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.

Operator learning

Deep learning for full-field ultrasonic characterization

no code implementations6 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.


DABERT: Dual Attention Enhanced BERT for Semantic 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.


Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients

no code implementations15 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.

Single-scatter channel impulse response model of non-line-of-sight ultraviolet communications

no code implementations28 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.

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

no code implementations9 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.

Simple Contrastive Representation Adversarial Learning for NLP Tasks

no code implementations26 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.

Contrastive Learning Natural Language Understanding +4

Graph Contrastive Learning for Anomaly Detection

2 code implementations17 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.

Anomaly Detection Binary Classification +3

Transition behavior of the seizure dynamics modulated by the astrocyte inositol triphosphate noise

no code implementations26 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.

Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System

1 code implementation1 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.

Binarization Quantization

On eigenvalues of the Brownian sheet matrix

no code implementations12 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.


Skorohod and Stratonovich integrals for controlled processes

no code implementations4 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 $\int_0^t y_s {\mathrm{d}} {\mathbf x}_s$.


Aggregated Network for Massive MIMO CSI Feedback

no code implementations17 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.


Binary Neural Network Aided CSI Feedback in Massive MIMO System

1 code implementation5 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.


Multi-resolution CSI Feedback with deep learning in Massive MIMO System

1 code implementation31 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).

Joint Transceiver Optimization for Wireless Communication PHY with Convolutional Neural Network

no code implementations9 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.

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