Zhenrui Yue

According to our database, Zhenrui Yue authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.

Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang

CoRR, 2024

Federated Recommendation via Hybrid Retrieval Augmented Generation.

Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang

CoRR, 2024

Linear Recurrent Units for Sequential Recommendation.

Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Fairness-aware training of face attribute classifiers via adversarial robustness.

Huimin Zeng, Zhenrui Yue, Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang

Knowl. Based Syst., March, 2023

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge

CoRR, 2023

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.

Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang

Proceedings of the ACM Web Conference 2023, 2023

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.

Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach.

Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition.

Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.

Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.

Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning.

Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.

Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.

Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.

Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.

Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.

Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.

Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Domain Adaptation for Question Answering via Question Classification.

Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.

Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.

Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang

Proceedings of the IEEE International Conference on Big Data, 2022

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.

Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media.

Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.

Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora.

Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring.

Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen

Proceedings of the NILM '20, 2020