Lingzhe Zhang

According to our database, Lingzhe Zhang authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models.

Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu

CoRR, August, 2025

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models.

Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu

CoRR, August, 2025

A Survey of AIOps in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, July, 2025

LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog).

Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li

CoRR, May, 2025

ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Siyu Yu, Jinyang Gao, Bolin Ding, Zhonghai Wu, Ying Li

CoRR, April, 2025

Towards Close-to-Zero Runtime Collection Overhead: Raft-Based Anomaly Diagnosis on System Faults for Distributed Storage System.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Hongyi Liu, Yong Yang, Zhonghai Wu, Ying Li

IEEE Trans. Serv. Comput., 2025

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

ScalaLog: Scalable Log-Based Failure Diagnosis Using LLM.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Hongyi Liu, Ying Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study.

Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yang Yong, Ying Li

CoRR, 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li

CoRR, 2024

Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database.

Lingzhe Zhang, Xiang-Dong Huang, Yan-Kai Wang, Jialin Qiao, Shaoxu Song, Jianmin Wang

Adv. Eng. Informatics, 2024

Multivariate Log-based Anomaly Detection for Distributed Database.

Lingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study.

Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2022

Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree.

Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022