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Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
3D object grounding aims to locate the most relevant target object in a ...
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Smoothed Gaussian Mixture Models for Video Classification and Recommendation
Cluster-and-aggregate techniques such as Vector of Locally Aggregated De...
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More Industry-friendly: Federated Learning with High Efficient Design
Although many achievements have been made since Google threw out the par...
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How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks
This paper studies the novel concept of weight correlation in deep neura...
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DeText: A Deep Text Ranking Framework with BERT
Ranking is the most important component in a search system. Mostsearch s...
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MeDaS: An open-source platform as service to help break the walls between medicine and informatics
In the past decade, deep learning (DL) has achieved unprecedented succes...
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On Vocabulary Reliance in Scene Text Recognition
The pursuit of high performance on public benchmarks has been the drivin...
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COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
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Adversarial Data Encryption
In the big data era, many organizations face the dilemma of data sharing...
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Structure-Feature based Graph Self-adaptive Pooling
Various methods to deal with graph data have been proposed in recent yea...
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LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
RNA secondary structure prediction is widely used to understand RNA func...
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Relation Graph Network for 3D Object Detection in Point Clouds
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...
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Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation
Given the effectiveness and ease of use, Item-based Collaborative Filter...
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Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Improving the performance of click-through rate (CTR) prediction remains...
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Backhaul-aware Uplink Communications in Full-Duplex DBS-aided HetNets
Drone-mounted base stations (DBSs) are promising solutions to provide ub...
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Point Attention Network for Semantic Segmentation of 3D Point Clouds
Convolutional Neural Networks (CNNs) have performed extremely well on da...
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Adversarial Training Methods for Network Embedding
Network Embedding is the task of learning continuous node representation...
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Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks
With the prosperity of business intelligence, recommender systems have e...
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Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
The recommender system is an important form of intelligent application, ...
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GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have proved to be a most powerful ar...
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Real-time Power System State Estimation and Forecasting via Deep Neural Networks
Contemporary smart power grids are being challenged by rapid voltage flu...
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SepNE: Bringing Separability to Network Embedding
Many successful methods have been proposed for learning low dimensional ...
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Doubly Robust Sure Screening for Elliptical Copula Regression Model
Regression analysis has always been a hot research topic in statistics. ...
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Deep Reinforcement Learning for Page-wise Recommendations
Recommender systems can mitigate the information overload problem by sug...
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Deep Keyframe Detection in Human Action Videos
Detecting representative frames in videos based on human actions is quit...
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Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Recommender systems play a crucial role in mitigating the problem of inf...
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Deep Reinforcement Learning for List-wise Recommendations
Recommender systems play a crucial role in mitigating the problem of inf...
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Progressive Bit-Flipping Decoding of Polar Codes Over Layered Critical Sets
In successive cancellation (SC) polar decoding, an incorrect estimate of...
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Compressive Phase Retrieval via Reweighted Amplitude Flow
The problem of reconstructing a sparse signal vector from magnitude-only...
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Energy-Aware Virtual Machine Management in Inter-datacenter Networks over Elastic Optical Infrastructure
Datacenters (DCs), deployed in a large scale to support the ever increas...
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Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary
The recently launched LinkedIn Salary product has been designed with the...
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