
Oneshot Transfer Learning for Population Mapping
Finegrained population distribution data is of great importance for man...
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MIMO Transmission Under Discrete Input Signal Constraints
In this paper, we propose a multipleinput multipleoutput (MIMO) transmi...
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PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Understanding product attributes plays an important role in improving on...
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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Traffic prediction is the cornerstone of an intelligent transportation s...
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Intelligent Reflecting Surface Enhanced D2D Cooperative Computing
This paper investigates a devicetodevice (D2D) cooperative computing s...
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MoGQSM: Modelbased Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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AttnMove: History Enhanced Trajectory Recovery via Attentional Network
A considerable amount of mobility data has been accumulated due to the p...
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Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks
Multivariate time series (MTS) forecasting is an important problem in ma...
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Parallel Extraction of Longterm Trends and Shortterm Fluctuation Framework for Multivariate Time Series Forecasting
Multivariate time series forecasting is widely used in various fields. R...
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Endtoend Optimized Video Compression with MVResidual Prediction
We present an endtoend trainable framework for Pframe compression in ...
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Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Graph similarity computation aims to predict a similarity score between ...
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Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
In this work, we are interested in the large graph similarity computatio...
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Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network
Multivariate time series (MTS) forecasting is an important problem in ma...
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A SVBRDF Modeling Pipeline using Pixel Clustering
We present a pipeline for modeling spatially varying BRDFs (svBRDFs) of ...
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An Algorithm for Transmitting VR Video Based on Adaptive Modulation
Virtual reality (VR) is making waves around the world recently. However,...
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Learning Phase Competition for Traffic Signal Control
Increasingly available city data and advanced learning techniques have e...
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DeepDPM: Dynamic Population Mapping via Deep Neural Network
Dynamic high resolution data on human population distribution is of grea...
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Deep Image Set Hashing
In applications involving matching of image sets, the information from m...
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Learning to Rank Binary Codes
Binary codes have been widely used in vision problems as a compact featu...
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Jie Feng
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