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09/20/2023
Parallel-mentoring for Offline Model-based Optimization
We study offline model-based optimization to maximize a black-box object...
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09/11/2023
From Capture to Display: A Survey on Volumetric Video
Volumetric video, which offers immersive viewing experiences, is gaining...
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08/08/2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
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08/08/2023
Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Global urbanization has underscored the significance of urban microclima...
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06/26/2023
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics
Autonomous individuals establish a structural complex system through pai...
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03/23/2023
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks
Digital twins have shown a great potential in supporting the development...
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03/22/2023
Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios
With the continuous growth in communication network complexity and traff...
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03/14/2023
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
In cellular networks, User Equipment (UE) handoff from one Base Station ...
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03/04/2023
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning
Detecting illicit nodes on blockchain networks is a valuable task for st...
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03/02/2023
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Robust, high-precision global localization is fundamental to a wide rang...
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03/02/2023
Ternary Quantization: A Survey
Inference time, model size, and accuracy are critical for deploying deep...
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02/15/2023
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Our work examines the way in which large language models can be used for...
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02/04/2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives
Representation learning has been a critical topic in machine learning. I...
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02/03/2023
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Radio Access Networks (RANs) for telecommunications represent large aggl...
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01/26/2023
Optimizing Feature Set for Click-Through Rate Prediction
Click-through prediction (CTR) models transform features into latent vec...
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01/07/2023
Bidirectional Learning for Offline Model-based Biological Sequence Design
Offline model-based optimization aims to maximize a black-box objective ...
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01/04/2023
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification
Molecular fingerprints are significant cheminformatics tools to map mole...
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12/29/2022
A Survey of Diversification Techniques in Search and Recommendation
Diversifying search results is an important research topic in retrieval ...
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12/24/2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Model quantization enables the deployment of deep neural networks under ...
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12/24/2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Most existing pruning works are resource-intensive, requiring retraining...
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12/24/2022
Hyperspherical Loss-Aware Ternary Quantization
Most of the existing works use projection functions for ternary quantiza...
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11/24/2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
Magnetic Resonance Imaging (MRI) has become an important technique in th...
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11/21/2022
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments
Under the Autonomous Mobile Clinics (AMCs) initiative, we are developing...
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11/11/2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
To offer accurate and diverse recommendation services, recent methods us...
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10/28/2022
Teacher-Student Architecture for Knowledge Learning: A Survey
Although Deep Neural Networks (DNNs) have shown a strong capacity to sol...
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10/02/2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Graph embedding provides a feasible methodology to conduct pattern class...
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09/15/2022
Bidirectional Learning for Offline Infinite-width Model-based Optimization
In offline model-based optimization, we strive to maximize a black-box o...
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08/16/2022
Multi-Pair D2D Communications Aided by An Active RIS over Spatially Correlated Channels with Phase Noise
This paper investigates a multi-pair device-to-device (D2D) communicatio...
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08/09/2022
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Learning embedding table plays a fundamental role in Click-through rate(...
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08/02/2022
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Implicit feedback is frequently used for developing personalized recomme...
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07/24/2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Bi-level optimization, especially the gradient-based category, has been ...
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06/15/2022
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
The blockchain technology empowers secure, trustless, and privacy-preser...
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05/31/2022
Unbiased Implicit Feedback via Bi-level Optimization
Implicit feedback is widely leveraged in recommender systems since it is...
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04/29/2022
Joint Multisided Exposure Fairness for Recommendation
Prior research on exposure fairness in the context of recommender system...
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04/06/2022
Structure-aware Protein Self-supervised Learning
Protein representation learning methods have shown great potential to yi...
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03/20/2022
Learnable Encoder-Decoder Architecture for Dynamic Graph: A Survey
In recent years, the prevalent online services generate a sheer volume o...
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11/20/2021
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
Public policies that supply public goods, especially those involve colla...
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10/29/2021
Generalized Data Weighting via Class-level Gradient Manipulation
Label noise and class imbalance are two major issues coexisting in real-...
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07/23/2021
Pruning Ternary Quantization
We propose pruning ternary quantization (PTQ), a simple, yet effective, ...
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07/13/2021
A Graph Data Augmentation Strategy with Entropy Preserving
The Graph Convolutional Networks (GCNs) proposed by Kipf and Welling are...
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05/06/2021
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Two-sided marketplaces are an important component of many existing Inter...
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02/02/2021
Graph Classification Based on Skeleton and Component Features
Most existing popular methods for learning graph embedding only consider...
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01/13/2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Personalized recommender systems are increasingly important as more cont...
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01/13/2021
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Personalized recommender systems are playing an increasingly important r...
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08/04/2020
Reinforced Epidemic Control: Saving Both Lives and Economy
Saving lives or economy is a dilemma for epidemic control in most cities...
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07/31/2020
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
The graph structure is a commonly used data storage mode, and it turns o...
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05/21/2020
Feature Statistics Guided Efficient Filter Pruning
Building compact convolutional neural networks (CNNs) with reliable perf...
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03/20/2020
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
In this paper, we study the problem of out-of-distribution detection in ...
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12/26/2019
Memory Augmented Graph Neural Networks for Sequential Recommendation
The chronological order of user-item interactions can reveal time-evolvi...
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11/12/2019