BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring. - Zhenrui Yue; Camilo Requena Witzig; Daniel Jorde; Hans-Arno Jacobsen (NILM@SenSys, 2020)

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. - Zhenrui Yue; Bernhard Kratzwald; Stefan Feuerriegel (EMNLP (1), 2021)

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. - Zhenrui Yue; Zhankui He; Huimin Zeng 001; Julian J. McAuley (RecSys, 2021)

A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media. - Lanyu Shang; Yang Zhang 031; Zhenrui Yue; YeonJung Choi; Huimin Zeng 001; Dong Wang 002 (ASONAM, 2022)

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. - Huimin Zeng 001; Zhenrui Yue; Ziyi Kou; Lanyu Shang; Yang Zhang 031; Dong Wang 002 (ASONAM, 2022)

Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations. - Huimin Zeng 001; Zhenrui Yue; Lanyu Shang; Yang Zhang 031; Dong Wang 002 (IEEE Big Data, 2022)

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. - Zhenrui Yue; Huimin Zeng 001; Ziyi Kou; Lanyu Shang; Dong Wang 002 (CIKM, 2022)

Domain Adaptation for Question Answering via Question Classification. - Zhenrui Yue; Huimin Zeng 001; Ziyi Kou; Lanyu Shang; Dong Wang 002 (COLING, 2022)

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation. - Zhenrui Yue; Huimin Zeng 001; Ziyi Kou; Lanyu Shang; Dong Wang 002 (DCOSS, 2022)

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. - Zhenrui Yue; Huimin Zeng 001; Bernhard Kratzwald; Stefan Feuerriegel; Dong Wang 002 (EMNLP, 2022)

Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. - Ziyi Kou; Lanyu Shang; Yang Zhang 031; Zhenrui Yue; Huimin Zeng 001; Dong Wang 002 (IJCAI, 2022)

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. - Huimin Zeng 001; Zhenrui Yue; Yang Zhang 031; Ziyi Kou; Lanyu Shang; Dong Wang 002 (IJCAI, 2022)

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. - Zhenrui Yue; Huimin Zeng 001; Ziyi Kou; Lanyu Shang; Dong Wang 002 (RecSys, 2022)

A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. - Yang Zhang 031; Ziyi Kou; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (AAAI, 2023)

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. - Zhenrui Yue; Huimin Zeng 001; Mengfei Lan; Heng Ji 001; Dong Wang 002 (ACL (1), 2023)

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. - Zhenrui Yue; Huimin Zeng 001; Yang Zhang 031; Lanyu Shang; Dong Wang 002 (ACL (1), 2023)

Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. - Huimin Zeng 001; Zhenrui Yue; Yang Zhang 031; Lanyu Shang; Dong Wang 002 (CIKM, 2023)

On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. - Huimin Zeng 001; Zhenrui Yue; Lanyu Shang; Yang Zhang 031; Dong Wang 002 (IJCAI, 2023)

On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Na Wei; Dong Wang 002 (IJCAI, 2023)

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (SECON, 2023)

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. - Yang Zhang 031; Lanyu Shang; Ruohan Zong; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (WWW, 2023)

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. - Zhenrui Yue; Sara Rabhi; Gabriel de Souza Pereira Moreira; Dong Wang 002; Even Oldridge (CoRR, 2023)

Fairness-aware training of face attribute classifiers via adversarial robustness. - Huimin Zeng 001; Zhenrui Yue; Ziyi Kou; Yang Zhang 031; Lanyu Shang; Dong Wang 002 (Knowl. Based Syst., 2023)

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments. - Zhenrui Yue; Huimin Zeng 001; Lanyu Shang; Yifan Liu 019; Yang Zhang 031; Dong Wang 002 (ACL (1), 2024)

Fair Federated Learning with Biased Vision-Language Models. - Huimin Zeng 001; Zhenrui Yue; Yang Zhang 031; Lanyu Shang; Dong Wang 002 (ACL (Findings), 2024)

Federated Recommendation via Hybrid Retrieval Augmented Generation. - Huimin Zeng 001; Zhenrui Yue; Qian Jiang; Dong Wang 002 (IEEE Big Data, 2024)

Transferable Sequential Recommendation via Vector Quantized Meta Learning. - Zhenrui Yue; Huimin Zeng 001; Yang Zhang 031; Julian J. McAuley; Dong Wang 002 (IEEE Big Data, 2024)

Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper). - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Zhenrui Yue; Huimin Zeng 001; Yifan Liu 019; Dong Wang 002 (CI, 2024)

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. - Yueqi Wang; Zhenrui Yue; Huimin Zeng 001; Dong Wang 002; Julian J. McAuley (EMNLP (Findings), 2024)

Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. - Huimin Zeng 001; Zhenrui Yue; Qian Jiang; Yang Zhang 031; Lanyu Shang; Ruohan Zong; Dong Wang 002 (ICDCS, 2024)

A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media. - Lanyu Shang; Yang Zhang 031; Zhenrui Yue; YeonJung Choi; Huimin Zeng 001; Dong Wang 002 (ICWSM, 2024)

Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. - Zhenrui Yue; Huimin Zeng 001; Yimeng Lu; Lanyu Shang; Yang Zhang 031; Dong Wang 002 (NAACL-HLT, 2024)

Open-Vocabulary Federated Learning with Multimodal Prototyping. - Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (NAACL-HLT, 2024)

Fair Sequential Recommendation without User Demographics. - Huimin Zeng 001; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (SIGIR, 2024)

Linear Recurrent Units for Sequential Recommendation. - Zhenrui Yue; Yueqi Wang; Zhankui He; Huimin Zeng 001; Julian J. McAuley; Dong Wang 002 (WSDM, 2024)

MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. - Lanyu Shang; Yang Zhang 031; Bozhang Chen; Ruohan Zong; Zhenrui Yue; Huimin Zeng 001; Na Wei; Dong Wang 002 (WWW, 2024)

SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (WWW, 2024)

Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. - Yueqi Wang; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (CoRR, 2024)

Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19. - Huimin Zeng 001; Zhenrui Yue; Lanyu Shang; Yang Zhang 031; Dong Wang 002 (IEEE Trans. Emerg. Top. Comput., 2024)

Inference Scaling for Long-Context Retrieval Augmented Generation. - Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui 001; Rolf Jagerman; Hansi Zeng; Zhen Qin 001; Dong Wang 002; Xuanhui Wang; Michael Bendersky (ICLR, 2025)

Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. - Yueqi Wang; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (WSDM, 2025)

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning. - Bowen Jin; Hansi Zeng; Zhenrui Yue; Dong Wang 002; Hamed Zamani; Jiawei Han 001 (CoRR, 2025)

Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? - Hansi Zeng; Kai Hui 001; Honglei Zhuang; Zhen Qin 001; Zhenrui Yue; Hamed Zamani; Dana Alon (CoRR, 2025)

Hybrid Latent Reasoning via Reinforcement Learning. - Zhenrui Yue; Bowen Jin; Huimin Zeng 001; Honglei Zhuang; Zhen Qin 001; Jinsung Yoon; Lanyu Shang; Jiawei Han 001; Dong Wang 002 (CoRR, 2025)