Zhenrui Yue

70 papers A* 12A 9B 8Journal 30Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dr. Zero: Self-Evolving Search Agents without Training Data.
CoRR
Zhenrui Yue, Kartikeya Upasani, Xianjun Yang, Suyu Ge, Shaoliang Nie, Yuning Mao, Zhe Liu, Dong Wang
2026 J jnl
FASA: Frequency-aware Sparse Attention.
CoRR
Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian J. McAuley
2026 A conf
Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm.
WSDM
Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang
2025 A* conf
Boosting Data Utilization for Multilingual Dense Retrieval.
EMNLP
Chao Huang, Fengran Mo, Yufeng Chen, Changhao Guan, Zhenrui Yue, Xinyu Wang, Jinan Xu, Kaiyu Huang
2025 J jnl
Boosting Data Utilization for Multilingual Dense Retrieval.
CoRR
Chao Huang, Fengran Mo, Yufeng Chen, Changhao Guan, Zhenrui Yue, Xinyu Wang, Jinan Xu, Kaiyu Huang
2025 J jnl
Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?
CoRR
Hansi Zeng, Kai Hui, Honglei Zhuang, Zhen Qin, Zhenrui Yue, Hamed Zamani, Dana Alon
2025 J jnl
Hybrid Latent Reasoning via Reinforcement Learning.
CoRR
Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
2025 A* conf
Inference Scaling for Long-Context Retrieval Augmented Generation.
ICLR
Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2025 J jnl
Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation.
CoRR
Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Gyuseok Lee, Ruichen Yao, Yang Zhang, Dong Wang
2025 — conf
Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation.
KDD (2)
Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang
2025 J jnl
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
CoRR
Bowen Jin, Hansi Zeng, Zhenrui Yue, Dong Wang, Hamed Zamani, Jiawei Han
2025 A conf
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood.
WSDM
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 A conf
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media.
ICWSM
Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang
2024 J jnl
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders.
CoRR
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 — conf
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.
NAACL-HLT
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang
2024 J jnl
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.
CoRR
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang
2024 — conf
Fair Federated Learning with Biased Vision-Language Models.
ACL (Findings)
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
2024 A* conf
Fair Sequential Recommendation without User Demographics.
SIGIR
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 B conf
Federated Recommendation via Hybrid Retrieval Augmented Generation.
IEEE Big Data
Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang
2024 J jnl
Federated Recommendation via Hybrid Retrieval Augmented Generation.
CoRR
Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang
2024 J jnl
Inference Scaling for Long-Context Retrieval Augmented Generation.
CoRR
Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024 A conf
Linear Recurrent Units for Sequential Recommendation.
WSDM
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2024 A* conf
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection.
WWW
Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang
2024 A conf
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach.
ICDCS
Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang
2024 — conf
Open-Vocabulary Federated Learning with Multimodal Prototyping.
NAACL-HLT
Huimin Zeng, Zhenrui Yue, Dong Wang
2024 J jnl
Open-Vocabulary Federated Learning with Multimodal Prototyping.
CoRR
Huimin Zeng, Zhenrui Yue, Dong Wang
2024 — conf
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments.
ACL (1)
Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
2024 J jnl
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments.
CoRR
Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
2024 A* conf
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment.
WWW
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2024 — conf
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.
EMNLP (Findings)
Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley
2024 J jnl
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.
CoRR
Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley
2024 B conf
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
IEEE Big Data
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 J jnl
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 — conf
Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper).
CI
Yang Zhang, Ruohan Zong, Lanyu Shang, Zhenrui Yue, Huimin Zeng, Yifan Liu, Dong Wang
2024 J jnl
Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19.
IEEE Trans. Emerg. Top. Comput.
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2023 A* conf
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.
AAAI
Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 B conf
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.
SECON
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 A* conf
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.
WWW
Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang
2023 J jnl
Fairness-aware training of face attribute classifiers via adversarial robustness.
Knowl. Based Syst.
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang
2023 J jnl
Linear Recurrent Units for Sequential Recommendation.
CoRR
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2023 J jnl
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.
CoRR
Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge
2023 A conf
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.
CIKM
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
2023 — conf
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.
ACL (1)
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
2023 J jnl
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
2023 A* conf
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition.
IJCAI
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2023 A* conf
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach.
IJCAI
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang
2023 — conf
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning.
ACL (1)
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang
2023 J jnl
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang
2022 B conf
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media.
ASONAM
Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang
2022 B conf
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.
IEEE Big Data
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
2022 A conf
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.
CIKM
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.
CoRR
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 A* conf
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.
IJCAI
Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang
2022 A conf
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.
RecSys
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.
CoRR
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 B conf
Domain Adaptation for Question Answering via Question Classification.
COLING
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
Domain Adaptation for Question Answering via Question Classification.
CoRR
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 B conf
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.
DCOSS
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.
CoRR
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
2022 A* conf
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
IJCAI
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
2022 J jnl
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.
CoRR
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
2022 A* conf
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.
EMNLP
Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang
2022 J jnl
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.
CoRR
Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang
2022 B conf
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
ASONAM
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
2022 J jnl
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
CoRR
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
2021 A conf
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.
RecSys
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021 J jnl
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.
CoRR
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021 — conf
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora.
EMNLP (1)
Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
2021 J jnl
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora.
CoRR
Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
2020 — conf
BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring.
NILM@SenSys
Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen