| Bert4nilm: A bidirectional transformer model for non-intrusive load monitoring Z Yue, CR Witzig, D Jorde, HA Jacobsen NILM@SenSys 2020, 89-93, 2020 | 113 | 2020 |
| Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction Z Yue, Z He, H Zeng, J McAuley RecSys 2021, 44-54, 2021 | 78 | 2021 |
| LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking Z Yue, S Rabhi, GSP Moreira, D Wang, E Oldridge PGAI@CIKM 2023, 2023 | 58 | 2023 |
| Contrastive domain adaptation for early misinformation detection: A case study on covid-19 Z Yue, H Zeng, Z Kou, L Shang, D Wang CIKM 2022, 2423-2433, 2022 | 51 | 2022 |
| Contrastive domain adaptation for question answering using limited text corpora Z Yue, B Kratzwald, S Feuerriegel EMNLP 2021, 2021 | 39 | 2021 |
| Linear Recurrent Units for Sequential Recommendation Z Yue, Y Wang, Z He, H Zeng, J McAuley, D Wang WSDM 2024, 2024 | 37 | 2024 |
| MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning Z Yue, H Zeng, Y Zhang, L Shang, D Wang ACL 2023, 2023 | 29 | 2023 |
| Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders Z Yue, H Zeng, Z Kou, L Shang, D Wang RecSys 2022, 59-70, 2022 | 25 | 2022 |
| Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection Z Kou, L Shang, Y Zhang, Z Yue, H Zeng, D Wang IJCAI 2022, 5087-5093, 2022 | 19 | 2022 |
| Zero-and Few-Shot Event Detection via Prompt-Based Meta Learning Z Yue, H Zeng, M Lan, H Ji, D Wang ACL 2023, 2023 | 16 | 2023 |
| Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation Z Yue, H Zeng, Y Lu, L Shang, Y Zhang, D Wang NAACL 2024, 2024 | 14 | 2024 |
| On attacking out-domain uncertainty estimation in deep neural networks H Zeng, Z Yue, Y Zhang, Z Kou, L Shang, D Wang IJCAI 2022, 2022 | 14 | 2022 |
| Domain Adaptation for Question Answering via Question Classification Z Yue, H Zeng, Z Kou, L Shang, D Wang COLING 2022, 2022 | 12 | 2022 |
| Inference scaling for long-context retrieval augmented generation Z Yue, H Zhuang, A Bai, K Hui, R Jagerman, H Zeng, Z Qin, D Wang, ... ICLR 2025 (Oral), 2025 | 11 | 2025 |
| A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media L Shang, Y Zhang, Z Yue, YJ Choi, H Zeng, D Wang Best Paper Award at ASONAM 2022, 34-41, 2022 | 11 | 2022 |
| Federated recommendation via hybrid retrieval augmented generation H Zeng, Z Yue, Q Jiang, D Wang arXiv preprint arXiv:2403.04256, 2024 | 10 | 2024 |
| Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup H Zeng, Z Yue, Z Kou, L Shang, Y Zhang, D Wang ASONAM 2022, 2022 | 9 | 2022 |
| Fairness-aware training of face attribute classifiers via adversarial robustness H Zeng, Z Yue, Z Kou, Y Zhang, L Shang, D Wang Knowledge-Based Systems 264, 110356, 2023 | 8 | 2023 |
| Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation Z Yue, H Zeng, Z Kou, L Shang, D Wang DCOSS 2022, 2022 | 8 | 2022 |
| Unsupervised domain adaptation via contrastive adversarial domain mixup: A case study on covid-19 H Zeng, Z Yue, L Shang, Y Zhang, D Wang IEEE Transactions on Emerging Topics in Computing, 2024 | 7 | 2024 |
Dong WangAssociate Professor, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证