| Self-paced ensemble for highly imbalanced massive data classification Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu 2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020 | 266 | 2020 |
| MESA: boost ensemble imbalanced learning with meta-sampler Z Liu, P Wei, J Jiang, W Cao, J Bian, Y Chang Advances in neural information processing systems 33, 14463-14474, 2020 | 99 | 2020 |
| Class-Imbalanced Graph Learning without Class Rebalancing Z Liu, R Qiu, Z Zeng, H Yoo, D Zhou, Z Xu, Y Zhu, K Weldemariam, J He, ... Forty-first International Conference on Machine Learning, 2024 | 53* | 2024 |
| Hierarchical multi-marginal optimal transport for network alignment Z Zeng, B Du, S Zhang, Y Xia, Z Liu, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16660 …, 2024 | 40 | 2024 |
| Ensuring user-side fairness in dynamic recommender systems H Yoo, Z Zeng, J Kang, R Qiu, D Zhou, Z Liu, F Wang, C Xu, E Chan, ... Proceedings of the ACM Web Conference 2024, 3667-3678, 2024 | 38 | 2024 |
| Graph mixup on approximate gromov–wasserstein geodesics Z Zeng, R Qiu, Z Xu, Z Liu, Y Yan, T Wei, L Ying, J He, H Tong Forty-first International Conference on Machine Learning, 2024 | 29 | 2024 |
| IMBENS: Ensemble class-imbalanced learning in Python Z Liu, J Kang, H Tong, Y Chang arXiv preprint arXiv:2111.12776, 2021 | 25 | 2021 |
| Backtime: Backdoor attacks on multivariate time series forecasting X Lin, Z Liu, D Fu, R Qiu, H Tong Advances in Neural Information Processing Systems 37, 131344-131368, 2024 | 24 | 2024 |
| A survey of explainable graph neural networks for cyber malware analysis D Warmsley, A Waagen, J Xu, Z Liu, H Tong 2022 IEEE International Conference on Big Data (Big Data), 2932-2939, 2022 | 24 | 2022 |
| An autonomous dock and battery swapping system for multirotor UAV ZN Liu, XQ Liu, LJ Yang, D Leo, HW Zhao Unpublished, https://www. researchgate. net/publication/325077351 10, 2018 | 22 | 2018 |
| Group fairness via group consensus E Chan*, Z Liu*, R Qiu, Y Zhang, R Maciejewski, H Tong Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 20 | 2024 |
| Taming over-smoothing representation on heterophilic graphs K Guo, X Cao, Z Liu, Y Chang Information Sciences 647, 119463, 2023 | 19 | 2023 |
| Handling inter-class and intra-class imbalance in class-imbalanced learning Z Liu, P Wei, Z Wei, B Yu, J Jiang, W Cao, J Bian, Y Chang arXiv preprint arXiv:2111.12791, 2021 | 19 | 2021 |
| Uadb: Unsupervised anomaly detection booster H Ye*, Z Liu*, X Shen, W Cao, S Zheng, X Gui, H Zhang, Y Chang, J Bian 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2593-2606, 2023 | 17 | 2023 |
| QUADO: An autonomous recharge system for quadcopter Z Liu, Z Wang, D Leo, XQ Liu, HW Zhao 2017 IEEE International Conference on Cybernetics and Intelligent Systems …, 2017 | 17 | 2017 |
| AIM: Attributing, interpreting, mitigating data unfairness Z Liu, R Qiu, Z Zeng, Y Zhu, H Hamann, H Tong Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 14 | 2024 |
| Llm-recg: A semantic bias-aware framework for zero-shot sequential recommendation Y Li, J Wang, H Sundaram, Z Liu Proceedings of the Nineteenth ACM Conference on Recommender Systems, 237-246, 2025 | 13* | 2025 |
| Language in the flow of time: Time-series-paired texts weaved into a unified temporal narrative Z Li, X Lin, Z Liu, J Zou, Z Wu, L Zheng, D Fu, Y Zhu, H Hamann, H Tong, ... arXiv preprint arXiv:2502.08942, 2025 | 13 | 2025 |
| Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation W Bao, Z Zeng, Z Liu, H Tong, J He The Thirteenth International Conference on Learning Representations, 2025 | 12* | 2025 |
| Thegcn: Temporal heterophilic graph convolutional network Y Yan, Y Chen, H Chen, X Li, Z Xu, Z Zeng, L Liu, Z Liu, H Tong arXiv preprint arXiv:2412.16435, 2024 | 12 | 2024 |
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
