Runlong Yu

Orcid: 0000-0003-4080-2377

According to our database1, Runlong Yu authored at least 26 papers between 2018 and 2024.

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Bibliography

2024
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng., November, 2024

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR, 2024

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems.
CoRR, 2024

Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes.
CoRR, 2024

Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR, 2023

Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.
Knowl. Inf. Syst., 2022

Toward intelligent financial advisors for identifying potential clients: A multitask perspective.
Big Data Min. Anal., 2022

Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

2019
Long-term Joint Scheduling for Urban Traffic.
CoRR, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Technology Tracing for High-Tech Companies.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018


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