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09/12/2023
HAMUR: Hyper Adapter for Multi-Domain Recommendation
Multi-Domain Recommendation (MDR) has gained significant attention in re...
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09/05/2023
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation
Click-Through Rate (CTR) prediction is a fundamental technique in recomm...
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08/22/2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
With large language models (LLMs) achieving remarkable breakthroughs in ...
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08/18/2023
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Deep neural operators (DNOs) have been utilized to approximate nonlinear...
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08/14/2023
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation
In the domain of streaming recommender systems, conventional methods for...
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08/11/2023
A direct sampling method based on the Green's function for time-dependent inverse scattering problems
This paper concerns the numerical simulation of time domain inverse acou...
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08/10/2023
A novel sampling method for time domain acoustic inverse source problems
This paper is concerned with the inverse acoustic scattering problems of...
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08/06/2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Transductive Few-Shot Learning (TFSL) has recently attracted increasing ...
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08/06/2023
CDT-Dijkstra: Fast Planning of Globally Optimal Paths for All Points in 2D Continuous Space
The Dijkstra algorithm is a classic path planning method, which in a dis...
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07/18/2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
Multi-label image classification is a prediction task that aims to ident...
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06/27/2023
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics
Deep learning video analytic systems process live video feeds from multi...
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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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06/05/2023
CTRL: Connect Tabular and Language Model for CTR Prediction
Traditional click-through rate (CTR) prediction models convert the tabul...
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03/16/2023
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models
For downstream applications of vision-language pre-trained models, there...
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02/25/2023
Homotopy Path Class Encoder Based on Convex Dissection Topology
The concept of path homotopy has received widely attention in the field ...
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02/07/2023
Multi-Task Deep Recommender Systems: A Survey
Multi-task learning (MTL) aims at learning related tasks in a unified mo...
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02/06/2023
Cross-Fusion Rule for Personalized Federated Learning
Data scarcity and heterogeneity pose significant performance challenges ...
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01/20/2023
Differential Privacy in Cooperative Multiagent Planning
Privacy-aware multiagent systems must protect agents' sensitive data whi...
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01/19/2023
Semantic-aware Contrastive Learning for More Accurate Semantic Parsing
Since the meaning representations are detailed and accurate annotations ...
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12/27/2022
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
The task of referring video object segmentation aims to segment the obje...
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12/27/2022
Position-Aware Contrastive Alignment for Referring Image Segmentation
Referring image segmentation aims to segment the target object described...
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12/20/2022
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial tes...
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11/30/2022
The Bounded Gaussian Mechanism for Differential Privacy
The Gaussian mechanism is one differential privacy mechanism commonly us...
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10/26/2022
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
Sequential recommendation (SR) plays an important role in personalized r...
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10/18/2022
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System
Scoring a large number of candidates precisely in several milliseconds i...
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10/16/2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
Embedded topic models are able to learn interpretable topics even with l...
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09/20/2022
Knowledge-Aware Bayesian Deep Topic Model
We propose a Bayesian generative model for incorporating prior domain kn...
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09/20/2022
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
Customer reviews usually contain much information about one's online sho...
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09/12/2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems
To build recommender systems that not only consider user-item interactio...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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08/11/2022
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
The cold-start problem is a long-standing challenge in recommender syste...
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08/03/2022
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints
This paper studies the event-triggered distributed fusion estimation pro...
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04/04/2022
Automated Machine Learning for Deep Recommender Systems: A Survey
Deep recommender systems (DRS) are critical for current commercial onlin...
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03/30/2022
The Block-based Mobile PDE Systems Are Not Secure – Experimental Attacks
Nowadays, mobile devices have been used broadly to store and process sen...
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03/09/2022
Update Compression for Deep Neural Networks on the Edge
An increasing number of artificial intelligence (AI) applications involv...
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03/03/2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
A topic model is often formulated as a generative model that explains ho...
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03/02/2022
Asynchronous Optimisation for Event-based Visual Odometry
Event cameras open up new possibilities for robotic perception due to th...
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03/01/2022
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing
Video snapshot compressive imaging (SCI) utilizes a 2D detector to captu...
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02/08/2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
For binary neural networks (BNNs) to become the mainstream on-device com...
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02/07/2022
Differential Privacy for Symbolic Systems with Application to Markov Chains
Data-driven systems are gathering increasing amounts of data from users,...
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12/03/2021
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector
Data collected by Earth-observing (EO) satellites are often afflicted by...
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11/05/2021
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Feature embedding learning and feature interaction modeling are two cruc...
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10/27/2021
TopicNet: Semantic Graph-Guided Topic Discovery
Existing deep hierarchical topic models are able to extract semantically...
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10/22/2021
Occlusion-Robust Object Pose Estimation with Holistic Representation
Practical object pose estimation demands robustness against occlusions t...
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09/28/2021
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
In collaborative filtering, it is an important way to make full use of s...
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09/11/2021
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
Dual-view snapshot compressive imaging (SCI) aims to capture videos from...
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08/26/2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Deep neural networks (DNNs) have become essential for processing the vas...
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08/17/2021
GCCAD: Graph Contrastive Coding for Anomaly Detection
Graph-based anomaly detection has been widely used for detecting malicio...
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07/19/2021
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
Despite recent success in machine reading comprehension (MRC), learning ...
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06/30/2021