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08/24/2023
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
On-device recommender systems recently have garnered increasing attentio...
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08/09/2023
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following
E-commerce authoring involves creating attractive, abundant, and targete...
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07/10/2023
Counterfactual Explanation for Fairness in Recommendation
Fairness-aware recommendation eliminates discrimination issues to build ...
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07/10/2023
Causal Neural Graph Collaborative Filtering
Graph collaborative filtering (GCF) has gained considerable attention in...
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04/23/2023
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions
Customer churn describes terminating a relationship with a business or r...
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04/20/2023
Causal Analysis of Customer Churn Using Deep Learning
Customer churn describes terminating a relationship with a business or r...
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04/08/2023
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation
As an indispensable personalized service in Location-based Social Networ...
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03/26/2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Counterfactual explanation is a form of interpretable machine learning t...
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03/26/2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Counterfactual fairness alleviates the discrimination between the model ...
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12/22/2022
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Modern sociology has profoundly uncovered many convincing social criteri...
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11/08/2022
COV19IR : COVID-19 Domain Literature Information Retrieval
Increasing number of COVID-19 research literatures cause new challenges ...
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09/06/2022
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks
The rapid advances in automation technologies, such as artificial intell...
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07/24/2022
Federated Graph Contrastive Learning
Graph learning models are critical tools for researchers to explore grap...
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07/14/2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Counterfactual explanations interpret the recommendation mechanism via e...
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07/01/2022
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
Graph contrastive learning has emerged as a powerful tool for unsupervis...
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04/23/2022
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
Modern recommender systems operate in a fully server-based fashion. To c...
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02/17/2022
Graph Masked Autoencoder
Transformers have achieved state-of-the-art performance in learning grap...
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02/14/2022
What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code
Recently, many pre-trained language models for source code have been pro...
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01/20/2022
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Graph contrastive learning is the state-of-the-art unsupervised graph re...
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01/19/2022
Cross-Language Binary-Source Code Matching with Intermediate Representations
Binary-source code matching plays an important role in many security and...
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01/19/2022
Dual Space Graph Contrastive Learning
Unsupervised graph representation learning has emerged as a powerful too...
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11/24/2021
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Recent advances in path-based explainable recommendation systems have at...
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09/07/2021
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
User purchasing prediction with multi-behavior information remains a cha...
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05/28/2021
Stochastic Intervention for Causal Inference via Reinforcement Learning
Causal inference methods are widely applied in various decision-making d...
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05/27/2021
Stochastic Intervention for Causal Effect Estimation
Causal inference methods are widely applied in various decision-making d...
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05/23/2021
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
Twitter is currently a popular online social media platform which allows...
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05/19/2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Hyperbolic space and hyperbolic embeddings are becoming a popular resear...
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05/17/2021
Be Causal: De-biasing Social Network Confounding in Recommendation
In recommendation systems, the existence of the missing-not-at-random (M...
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05/03/2021
Prototype-based Counterfactual Explanation for Causal Classification
Counterfactual explanation is one branch of interpretable machine learni...
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04/19/2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
At present, most research on the fairness of recommender systems is cond...
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03/23/2021
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
Learning and analyzing rap lyrics is a significant basis for many web ap...
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12/06/2020
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
We present NaturalCC, an efficient and extensible toolkit to bridge the ...
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12/02/2020
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint
An excessive number of customers often leads to a degradation in service...
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09/14/2020
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection
Much recent research has shed light on the development of the relation-d...
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07/05/2020
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
The recent COVID-19 pandemic has caused unprecedented impact across the ...
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07/03/2020
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media
Social networks enable people to interact with one another by sharing in...
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06/27/2020
Causality Learning: A New Perspective for Interpretable Machine Learning
Recent years have witnessed the rapid growth of machine learning in a wi...
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03/06/2020
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search
Code summarization and code search have been widely adopted in sofwarede...
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11/26/2019
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
We formalize networks with evolving structures as temporal networks and ...
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09/30/2019
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval
Code retrieval techniques and tools have been playing a key role in faci...
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08/10/2019
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation
Frequent group activities of human beings have become an indispensable p...
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11/17/2018
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Code summarization provides a high level natural language description of...
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09/28/2018
Target-Independent Active Learning via Distribution-Splitting
To reduce the label complexity in Agnostic Active Learning (A^2 algorith...
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07/24/2018
A Structured Perspective of Volumes on Active Learning
Active Learning (AL) is a learning task that requires learners interacti...
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05/31/2018
Geometric Active Learning via Enclosing Ball Boundary
Active Learning (AL) requires learners to retrain the classifier with th...
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01/30/2018