3.4k citations · 3.5k across the 8 of their papers we have counts for
8 papers
Learning by Active Forgetting for Neural Networks
Jian Peng, Xian Sun, Min Deng +8
Remembering and forgetting mechanisms are two sides of the same coin in a human learning-memory system. Inspired by human brain memory mechanisms, modern machine learning systems h…
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Baoju Liu, Min Deng, Guohua Wu +3
Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of obser…
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao, Yujiao Song, Chao Zhang +5
Accurate and real-time traffic forecasting plays an important role in the Intelligent Traffic System and is of great significance for urban traffic planning, traffic management, an…
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian Peng, Jiang Hao, Zhuo Li +5
Catastrophic forgetting is a challenge issue in continual learning when a deep neural network forgets the knowledge acquired from the former task after learning on subsequent tasks…
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection
Enqiang Guo, Xinsha Fu, Jiawei Zhu +4
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…
Measuring Road Network Topology Vulnerability by Ricci Curvature
Lei Gao, Xingquan Liu, Yu Liu +4
Describing the basic properties of road network systems, such as their robustness, vulnerability, and reliability, has been a very important research topic in the field of urban tr…