| Black-box attacks on sequential recommenders via data-free model extraction Z Yue, Z He, H Zeng, J McAuley Proceedings of the 15th ACM Conference on Recommender Systems, 44-54, 2021 | 57 | 2021 |
| Contrastive domain adaptation for early misinformation detection: A case study on covid-19 Z Yue, H Zeng, Z Kou, L Shang, D Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| Are adversarial examples created equal? A learnable weighted minimax risk for robustness under non-uniform attacks H Zeng, C Zhu, T Goldstein, F Huang Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No …, 2020 | 22 | 2020 |
| Defending substitution-based profile pollution attacks on sequential recommenders Z Yue, H Zeng, Z Kou, L Shang, D Wang Proceedings of the 16th ACM Conference on Recommender Systems, 59-70, 2022 | 15 | 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, 5087-5093, 2022 | 12 | 2022 |
| Metaadapt: Domain adaptive few-shot misinformation detection via meta learning Z Yue, H Zeng, Y Zhang, L Shang, D Wang arXiv preprint arXiv:2305.12692, 2023 | 11 | 2023 |
| On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks H Zeng, Z Yue, Y Zhang, Z Kou, L Shang, D Wang Proceedings of the Thirty-First International Joint Conference on Artificial …, 0 | 9* | |
| Zero-and few-shot event detection via prompt-based meta learning Z Yue, H Zeng, M Lan, H Ji, D Wang arXiv preprint arXiv:2305.17373, 2023 | 8 | 2023 |
| Domain adaptation for question answering via question classification Z Yue, H Zeng, Z Kou, L Shang, D Wang arXiv preprint arXiv:2209.04998, 2022 | 8 | 2022 |
| Exgfair: A crowdsourcing data exchange approach to fair human face datasets augmentation Z Kou, L Shang, H Zeng, Y Zhang, D Wang 2021 IEEE International Conference on Big Data (Big Data), 1285-1290, 2021 | 6 | 2021 |
| 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 | 5 | 2023 |
| Crowdoptim: A crowd-driven neural network hyperparameter optimization approach to ai-based smart urban sensing Y Zhang, R Zong, L Shang, Z Kou, H Zeng, D Wang Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-27, 2022 | 5 | 2022 |
| 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 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 5 | 2022 |
| 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 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 5 | 2022 |
| Certified defense via latent space randomized smoothing with orthogonal encoders H Zeng, J Su, F Huang arXiv preprint arXiv:2108.00491, 2021 | 5 | 2021 |
| Linear recurrent units for sequential recommendation Z Yue, Y Wang, Z He, H Zeng, J McAuley, D Wang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 4 | 2024 |
| Efficient localness transformer for smart sensor-based energy disaggregation Z Yue, H Zeng, Z Kou, L Shang, D Wang 2022 18th International Conference on Distributed Computing in Sensor …, 2022 | 4 | 2022 |
| On optimizing model generality in ai-based disaster damage assessment: A subjective logic-driven crowd-ai hybrid learning approach Y Zhang, Z Ruohan, L Shang, H Zeng, Z Yue, D Wang International Joint Conferences on Artificial Intelligence Organization, 2023 | 2 | 2023 |
| Collabequality: A crowd-ai collaborative learning framework to address class-wise inequality in web-based disaster response Y Zhang, L Shang, R Zong, H Zeng, Z Yue, D Wang Proceedings of the ACM Web Conference 2023, 4050-4059, 2023 | 2 | 2023 |
| Boosting demographic fairness of face attribute classifiers via latent adversarial representations H Zeng, Z Yue, L Shang, Y Zhang, D Wang 2022 IEEE International Conference on Big Data (Big Data), 1588-1593, 2022 | 2 | 2022 |
Zhenrui YueUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
