Search Results for author: Haifeng Li

Found 37 papers, 14 papers with code

Curvature Graph Neural Network

no code implementations30 Jun 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu

And we propose Curvature Graph Neural Network (CGNN), which effectively improves the adaptive locality ability of GNNs by leveraging the structural property of graph curvature.

Node Classification

Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks

no code implementations31 Mar 2021 Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu

The series strategy avoids RS-m inconsistency as inputs are high-resolution large-scale RSIs, and reduces the distribution gap in multi-scale map generation through similar pixel distributions among multi-scale maps.

Image-to-Image Translation

Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks

no code implementations2 Mar 2021 Haifeng Li, Jun Cao, Jiawei Zhu, Qing Zhu, Guohua Wu

A class of GNNs solves this problem by learning implicit weights to represent the importance of neighbor nodes, which we call implicit GNNs such as Graph Attention Network.

Graph Attention

On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control

no code implementations11 Dec 2020 Ruisheng Diao, Di Shi, Bei Zhang, Siqi Wang, Haifeng Li, Chunlei Xu, Tu Lan, Desong Bian, Jiajun Duan

Deriving fast and effectively coordinated control actions remains a grand challenge affecting the secure and economic operation of today's large-scale power grid.

Optimization and Control Systems and Control Systems and Control

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

no code implementations26 Nov 2020 Jiawei Zhu, Xin Han, Hanhan Deng, Chao Tao, Ling Zhao, Lin Tao, Haifeng Li

We propose a knowledge representation-driven traffic forecasting method based on spatiotemporal graph convolutional networks.

Knowledge Graphs

Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

no code implementations26 Nov 2020 Qing Zhu, Shengzhi Huang, Han Hu, Haifeng Li, Min Chen, Ruofei Zhong

Finally, multi-view information from both the nadir and oblique images is used in a robust voting procedure to label changes in existing buildings.

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Scene Change Detection

Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples

no code implementations2 Oct 2020 Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li

With the development of deep learning, supervised learning methods perform well in remote sensing images (RSIs) scene classification.

Classification General Classification +2

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

no code implementations28 Sep 2020 Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao

On the one hand, RS-MetaNet raises the level of learning from the sample to the task by organizing training in a meta way, and it learns to learn a metric space that can well classify remote sensing scenes from a series of tasks.

General Classification Metric Learning +1

Urban Traffic Flow Forecast Based on FastGCRNN

no code implementations17 Sep 2020 Ya Zhang, Mingming Lu, Haifeng Li

Traffic forecasting is an important prerequisite for the application of intelligent transportation systems in urban traffic networks.

Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources

no code implementations13 Jul 2020 Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz

It also demonstrates that this method can help to efficiently obtain replanning schemes based on original scheme in dynamic environments.

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

2 code implementations20 Jun 2020 Jiawei Zhu, Yujiao Song, Ling Zhao, Haifeng Li

In this study, an attention temporal graph convolutional network (A3T-GCN) traffic forecasting method was proposed to simultaneously capture global temporal dynamics and spatial correlations.

Time Series

DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

1 code implementation18 Apr 2020 Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li

The incorporation of the double self-attention module has an average of 7\% improvement on the pre-class accuracy.

Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition

1 code implementation20 Feb 2020 Qing Zhu, Lin Chen, Han Hu, Binzhi Xu, Yeting Zhang, Haifeng Li

The second uses a scale attention mechanism to guide the up-sampling of features from the coarse level by a learned weight map.

Semantic Segmentation

Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation

1 code implementation19 Dec 2019 Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li

It is due to two facts: first, as the model learns more tasks, the intersection of the low-error parameter subspace satisfying for these tasks becomes smaller or even does not exist; second, when the model learns a new task, the cumulative error keeps increasing as the model tries to protect the parameter configuration of previous tasks from interference.

Image Classification

SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

1 code implementation19 Dec 2019 Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao

High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location.

Semantic Segmentation

Adversarial Example in Remote Sensing Image Recognition

no code implementations29 Oct 2019 Li Chen, Guowei Zhu, Qi Li, Haifeng Li

This added adversarial perturbation image is called an adversarial example, which poses a serious security problem for systems based on CNN model recognition results.

Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual Information

1 code implementation ISPRS Journal of Photogrammetry and Remote Sensing 2019 Chao Tao, Ji Qi, Yansheng Li, Hao Wang, Haifeng Li

The validation experiments using three large datasets of very high-resolution (VHR) satellite imagery show that the proposed method can improve road extraction accuracy and provide an output that is more in line with human expectations.

Road Segementation

MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

1 code implementation26 Oct 2019 Qing Zhu, Cheng Liao, Han Hu, Xiaoming Mei, Haifeng Li

This paper proposes a novel multi attending path neural network (MAP-Net) for accurately extracting multiscale building footprints and precise boundaries.

Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis

no code implementations26 Mar 2019 Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li

Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems.

Load Forecasting

Probabilistic Load Forecasting via Point Forecast Feature Integration

no code implementations26 Mar 2019 Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang

In the first stage, all related features are utilized to train a point forecast model and also obtain the feature importance.

Feature Importance Load Forecasting

Program Classification Using Gated Graph Attention Neural Network for Online Programming Service

no code implementations9 Mar 2019 Mingming Lu, Dingwu Tan, Naixue Xiong, Zailiang Chen, Haifeng Li

The online programing services, such as Github, TopCoder, and EduCoder, have promoted a lot of social interactions among the service users.

General Classification Graph Attention

Understanding the Importance of Single Directions via Representative Substitution

no code implementations20 Jan 2019 Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li

Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior.

A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome

no code implementations25 Dec 2018 Li Chen, Hailun Ding, Qi Li, Jiawei Zhu, Jian Peng, Haifeng Li

Inspired by AFS, we propose a defense framework based on Adversarial Feature Genome (AFG), which can detect and correctly classify adversarial examples into original classes simultaneously.

General Classification Multi-Label Classification

Overcoming Catastrophic Forgetting by Soft Parameter Pruning

1 code implementation4 Dec 2018 Jian Peng, Jiang Hao, Zhuo Li, Enqiang Guo, Xiaohong Wan, Deng Min, Qing Zhu, Haifeng Li

In this paper, we proposed a Soft Parameters Pruning (SPP) strategy to reach the trade-off between short-term and long-term profit of a learning model by freeing those parameters less contributing to remember former task domain knowledge to learn future tasks, and preserving memories about previous tasks via those parameters effectively encoding knowledge about tasks at the same time.

Continual Learning

Understanding the Importance of Single Directions via Representative Substitution

no code implementations27 Nov 2018 Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li

Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior.

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

5 code implementations12 Nov 2018 Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, Haifeng Li

However, traffic forecasting has always been considered an open scientific issue, owing to the constraints of urban road network topological structure and the law of dynamic change with time, namely, spatial dependence and temporal dependence.

Traffic Prediction

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

3 code implementations22 Oct 2018 Enqiang Guo, Xinsha Fu, Jiawei Zhu, Min Deng, Yu Liu, Qing Zhu, Haifeng Li

A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to define and measure since the noisy changes and semantic ones are entangled.

Scene Change Detection

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition

no code implementations4 Aug 2017 Jie Chen, Chao Yuan, Min Deng, Chao Tao, Jian Peng, Haifeng Li

Owing to its superiority in feature representation, DCNN has exhibited remarkable performance in scene recognition of high-resolution remote sensing (HRRS) images and classification of hyper-spectral remote sensing images.

Classification General Classification +1

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

1 code implementation30 May 2017 Haifeng Li, Xin Dou, Chao Tao, Zhixiang Hou, Jie Chen, Jian Peng, Min Deng, Ling Zhao

In this paper, we propose a remote sensing image classification benchmark (RSI-CB) based on massive, scalable, and diverse crowdsource data.

Classification General Classification +2

What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?

no code implementations19 May 2017 Haifeng Li, Jian Peng, Chao Tao, Jie Chen, Min Deng

Is the DCNN recognition mechanism centered on object recognition still applicable to the scenarios of remote sensing scene understanding?

Object Recognition Scene Recognition +1

An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy

no code implementations14 Jan 2014 Guohua Wu, Huilin Wang, Haifeng Li, Witold Pedrycz, Dishan Qiu, Manhao Ma, Jin Liu

In this study, we present an adaptive Simulated Annealing based scheduling algorithm aggregated with a dynamic task clustering strategy (or ASA-DTC for short) for satellite observation scheduling problems (SOSPs).

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