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09/04/2023
Interactive Graph Convolutional Filtering
Interactive Recommender Systems (IRS) have been increasingly used in var...
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09/01/2023
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance
Cognitive diagnosis aims to diagnose students' knowledge proficiencies b...
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08/15/2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Recently, Zero-Shot Node Classification (ZNC) has been an emerging and c...
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07/31/2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
The advent of large language models marks a revolutionary breakthrough i...
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07/19/2023
Multi-Grained Multimodal Interaction Network for Entity Linking
Multimodal entity linking (MEL) task, which aims at resolving ambiguous ...
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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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07/11/2023
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence
OD matrix estimation is a critical problem in the transportation domain....
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07/10/2023
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Large Language Models (LLMs) have revolutionized natural language proces...
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06/26/2023
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Affordance-centric Question-driven Task Completion (AQTC) for Egocentric...
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06/23/2023
A Survey on Multimodal Large Language Models
Multimodal Large Language Model (MLLM) recently has been a new rising re...
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06/20/2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Structure-based drug design (SBDD), which utilizes the three-dimensional...
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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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06/15/2023
Multi-Temporal Relationship Inference in Urban Areas
Finding multiple temporal relationships among locations can benefit a bu...
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06/14/2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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05/21/2023
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement
With the increasing demand for intelligent services of online video plat...
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04/05/2023
Quiz-based Knowledge Tracing
Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...
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03/16/2023
AU-aware graph convolutional network for Macro- and Micro-expression spotting
Automatic Micro-Expression (ME) spotting in long videos is a crucial ste...
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03/01/2023
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Sequential Recommendation is a widely studied paradigm for learning user...
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02/23/2023
Federated Nearest Neighbor Machine Translation
To protect user privacy and meet legal regulations, federated learning (...
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02/20/2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Deep learning-based algorithms, e.g., convolutional networks, have signi...
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02/09/2023
A Novel Approach for Auto-Formulation of Optimization Problems
In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competiti...
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01/18/2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Understanding mathematical questions effectively is a crucial task, whic...
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01/03/2023
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates
As one of the most important psychic stress reactions, micro-expressions...
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11/15/2022
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and ...
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11/09/2022
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical informat...
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11/05/2022
One Person, One Model–Learning Compound Router for Sequential Recommendation
Deep learning has brought significant breakthroughs in sequential recomm...
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10/25/2022
Towards Robust Recommender Systems via Triple Cooperative Defense
Recommender systems are often susceptible to well-crafted fake profiles,...
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09/16/2022
Model Inversion Attacks against Graph Neural Networks
Many data mining tasks rely on graphs to model relational structures amo...
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06/28/2022
Cooperative Retriever and Ranker in Deep Recommenders
Deep recommender systems jointly leverage the retrieval and ranking oper...
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06/20/2022
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach
Affordance-centric Question-driven Task Completion for Egocentric Assist...
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06/17/2022
Boosting Factorization Machines via Saliency-Guided Mixup
Factorization machines (FMs) are widely used in recommender systems due ...
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05/30/2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Recommender retrievers aim to rapidly retrieve a fraction of items from ...
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05/23/2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation
End-to-End Speech Translation (E2E-ST) has received increasing attention...
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05/18/2022
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Cross-domain sentiment classification (CDSC) aims to use the transferabl...
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04/18/2022
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Network-aware cascade size prediction aims to predict the final reposted...
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04/08/2022
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
Adversarial learning has achieved remarkable performances for unsupervis...
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03/30/2022
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towar...
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01/23/2022
Reinforcement Routing on Proximity Graph for Efficient Recommendation
We focus on Maximum Inner Product Search (MIPS), which is an essential p...
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12/28/2021
Online Allocation with Two-sided Resource Constraints
Motivated by many interesting real-world applications in logistics and o...
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12/08/2021
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
With the booming of pre-trained transformers, remarkable progress has be...
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10/24/2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
As one of the most popular generative models, Variational Autoencoder (V...
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09/13/2021
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Variational AutoEncoder (VAE) has been extended as a representative nonl...
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08/27/2021
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
Text-to-image synthesis refers to generating an image from a given text ...
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08/18/2021
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
Recent studies in recommender systems have managed to achieve significan...
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08/06/2021
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
Sentence semantic matching requires an agent to determine the semantic r...
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06/09/2021
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching
Sentence semantic matching requires an agent to determine the semantic r...
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06/05/2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
As machine learning becomes more widely used for critical applications, ...
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05/27/2021
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective
In the online innovation market, the fund-raising performance of the sta...
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05/06/2021