research
∙
09/05/2023
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding
With the surge in attention to Egocentric Hand-Object Interaction (Ego-H...
share
research
∙
07/23/2023
Towards Generic and Controllable Attacks Against Object Detection
Existing adversarial attacks against Object Detectors (ODs) suffer from ...
research
∙
05/28/2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Data-efficient learning has drawn significant attention, especially give...
research
∙
05/21/2023
Multi-factor Sequential Re-ranking with Perception-Aware Diversification
Feed recommendation systems, which recommend a sequence of items for use...
research
∙
05/21/2023
Multi-channel Integrated Recommendation with Exposure Constraints
Integrated recommendation, which aims at jointly recommending heterogene...
research
∙
03/01/2023
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
Adversarial example is a rising way of protecting facial privacy securit...
research
∙
12/06/2022
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Understanding objects is a central building block of artificial intellig...
research
∙
09/25/2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
Cold start is an essential and persistent problem in recommender systems...
research
∙
09/25/2022
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
Recent studies on Click-Through Rate (CTR) prediction has reached new le...
research
∙
09/25/2022
Flattened Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have achieved sig...
research
∙
08/04/2022
Constructing Balance from Imbalance for Long-tailed Image Recognition
Long-tailed image recognition presents massive challenges to deep learni...
research
∙
06/23/2022
Intelligent Request Strategy Design in Recommender System
Waterfall Recommender System (RS), a popular form of RS in mobile applic...
research
∙
05/05/2022
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
User historical behaviors are proved useful for Click Through Rate (CTR)...
research
∙
03/30/2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
The recently proposed Graph Convolutional Networks (GCNs) have achieved ...
research
∙
02/14/2022
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
Human activity understanding is of widespread interest in artificial int...
research
∙
10/09/2021
Learning Single/Multi-Attribute of Object with Symmetry and Group
Attributes and objects can compose diverse compositions. To model the co...
research
∙
09/03/2021
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms
In this paper, we address the "black-box" problem in predictive process ...
research
∙
05/09/2021
Non-Recursive Graph Convolutional Networks
Graph Convolutional Networks (GCNs) are powerful models for node represe...
research
∙
03/18/2021
Data-Driven Wireless Communication Using Gaussian Processes
Data-driven paradigms are well-known and salient demands of future wirel...
research
∙
01/16/2021
Bayesian Inference Forgetting
The right to be forgotten has been legislated in many countries but the ...
research
∙
11/27/2020
A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods
Card payment fraud is a serious problem, and a roadblock for an optimall...
research
∙
06/07/2020
Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
research
∙
04/02/2020
PaStaNet: Toward Human Activity Knowledge Engine
Existing image-based activity understanding methods mainly adopt direct ...
research
∙
04/01/2020
Symmetry and Group in Attribute-Object Compositions
Attributes and objects can compose diverse compositions. To model the co...
research
∙
03/08/2020
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing
In this paper, we propose a new localization framework in which mobile u...
research
∙
03/01/2020
Scalable Learning Paradigms for Data-Driven Wireless Communication
The marriage of wireless big data and machine learning techniques revolu...
research
∙
07/02/2019
Voting-Based Multi-Agent Reinforcement Learning
The recent success of single-agent reinforcement learning (RL) encourage...
research
∙
06/03/2019
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
In this paper, we propose a deep reinforcement learning (DRL) based mobi...
research
∙
02/13/2019
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
The cloud radio access network (C-RAN) is a promising paradigm to meet t...
research
∙
01/06/2019
Efforts estimation of doctors annotating medical image
Accurate annotation of medical image is the crucial step for image AI cl...
research
∙
08/01/2018
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Magnetic Resonance Imaging (MRI) is widely used in the pathological and ...
research
∙
01/06/2018
