Lu Yu

Orcid: 0000-0003-4803-4464

Affiliations:
  • King Abdullah University of Science and Technology, Thuwal, Saudi Arabia


According to our database1, Lu Yu authored at least 40 papers between 2013 and 2024.

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Bibliography

2024
A distribution-free method for probabilistic prediction.
Expert Syst. Appl., March, 2024

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields.
IEEE Trans. Knowl. Data Eng., 2023

A Practical Rule Learning Framework for Risk Management.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Few-shot News Recommendation via Cross-lingual Transfer.
Proceedings of the ACM Web Conference 2023, 2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Rule-based Decision System for Financial Applications.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FINRule: Feature Interactive Neural Rule Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Improving Few-shot News Recommendation via Cross-lingual Transfer.
CoRR, 2022

Graph Alignment with Noisy Supervision.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Biased Sampling Method for Imbalanced Personalized Ranking.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SAIL: Self-Augmented Graph Contrastive Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Inductive Contextual Relation Learning for Personalization.
ACM Trans. Inf. Syst., 2021

2020
Self-supervised Smoothing Graph Neural Networks.
CoRR, 2020

Addressing Class-Imbalance Problem in Personalized Ranking.
CoRR, 2020

REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference.
Proceedings of the World Wide Web Conference, 2019

Improving Cross-lingual Entity Alignment via Optimal Transport.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dataset Recommendation via Variational Graph Autoencoder.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-Order Attentive Ranking Model for Sequential Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content.
Inf. Sci., 2017

Collaborative User Network Embedding for Social Recommender Systems.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A Community-Aware Approach to Minimizing Dissemination in Graphs.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Identifying the Academic Rising Stars.
CoRR, 2016

AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

2015
Multi-linear interactive matrix factorization.
Knowl. Based Syst., 2015

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval.
CoRR, 2014

2013
Information Filtering via Collaborative User Clustering Modeling.
CoRR, 2013


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