| 2026 | SIGIR | SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation. | Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, Seongku Kang |
| 2026 | SIGIR | Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation. | Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Ruichen Yao, Yang Zhang, Dong Wang |
| 2026 | WSDM | Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm. | Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang |
| 2025 | EMNLP | Boosting Data Utilization for Multilingual Dense Retrieval. | Chao Huang, Fengran Mo, Yufeng Chen, Changhao Guan, Zhenrui Yue, Xinyu Wang, Jinan Xu, Kaiyu Huang |
| 2025 | ICLR | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2025 | KDD | Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation. | Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang |
| 2025 | WSDM | Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. | Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | ACL | Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments. | Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang |
| 2024 | ACL | Fair Federated Learning with Biased Vision-Language Models. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang |
| 2024 | EMNLP | Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. | Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley |
| 2024 | ICDCS | Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. | Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang |
| 2024 | ICWSM | A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media. | Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang |
| 2024 | NAACL | Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. | Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang |
| 2024 | NAACL | Open-Vocabulary Federated Learning with Multimodal Prototyping. | Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | WWW | MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. | Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang |
| 2024 | WWW | SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | SIGIR | Fair Sequential Recommendation without User Demographics. | Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | WSDM | Linear Recurrent Units for Sequential Recommendation. | Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang |
| 2023 | AAAI | 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 |
| 2023 | ACL | Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. | Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang |
| 2023 | ACL | MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. | Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | CIKM | Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | IJCAI | On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. | Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang |
| 2023 | IJCAI | 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 |
| 2023 | WWW | 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 |
| 2023 | SECON | 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 |
| 2022 | CIKM | Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | COLING | Domain Adaptation for Question Answering via Question Classification. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | DCOSS | Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | EMNLP | QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. | Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. | Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | RecSys | Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2021 | EMNLP | Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. | Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel |
| 2021 | RecSys | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. | Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
| 2020 | SENSYS | BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring. | Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen |