Zhining Liu

Orcid: 0000-0003-1828-2109

Affiliations:
  • University of Illinois, Urbana-Champaign, IL, USA
  • Jilin University, Changchun, China (former)


According to our database1, Zhining Liu authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness.
CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Group Fairness via Group Consensus.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Taming over-smoothing representation on heterophilic graphs.
Inf. Sci., November, 2023

Ensuring User-side Fairness in Dynamic Recommender Systems.
CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.
CoRR, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR, 2021

2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2017
QUADO: An autonomous recharge system for quadcopter.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017


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