Zhong Li

According to our database, Zhong Li authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling.

Zhong Li, Qi Huang, Yuxuan Zhu, Mohammad Mohammadi Amiri, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen, Zaiwen Wen, Lincen Yang

CoRR, May, 2026

Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics.

Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint).

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards automated self-supervised learning for truly unsupervised graph anomaly detection.

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

Data Min. Knowl. Discov., September, 2025

Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions.

Zhong Li, Qi Huang, Lincen Yang, Jiayang Shi, Zhao Yang, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen

CoRR, February, 2025

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching.

Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Cross-Domain Graph Level Anomaly Detection.

Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen

IEEE Trans. Knowl. Data Eng., December, 2024

A Survey on Explainable Anomaly Detection.

Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen

ACM Trans. Knowl. Discov. Data, January, 2024

Explainable Graph Neural Networks Under Fire.

Zhong Li, Simon Geisler, Yuhang Wang, Stephan Günnemann, Matthijs van Leeuwen

CoRR, 2024

Graph Neural Networks based Log Anomaly Detection and Explanation.

Zhong Li, Jiayang Shi, Matthijs van Leeuwen

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Explainable contextual anomaly detection using quantile regression forests.

Zhong Li, Matthijs van Leeuwen

Data Min. Knowl. Discov., November, 2023

Graph Neural Network based Log Anomaly Detection and Explanation.

Zhong Li, Jiayang Shi, Matthijs van Leeuwen

CoRR, 2023

Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests.

Zhong Li, Matthijs van Leeuwen

CoRR, 2023

2022

Feature Selection for Fault Detection and Prediction based on Event Log Analysis.

Zhong Li, Matthijs van Leeuwen

SIGKDD Explor., 2022