Zexuan Li

According to our database, Zexuan Li authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Automatic bug assignments without texts: a study.

Zexuan Li, Kaixin Huang

Frontiers Comput. Sci., August, 2024

A read-efficient and write-optimized hash table for Intel Optane DC Persistent Memory.

Zexuan Li, Kaixin Huang

Future Gener. Comput. Syst., 2024

Understanding the potentials of early-season crop type mapping by using Landsat-8, Sentinel-1/2, and GF-1/6 data.

Cong Wang, Xinyu Zhang, Wenjing Wang, Haodong Wei, Jiayue Wang, Zexuan Li, Xiuni Li, Hao Wu, Qiong Hu

Comput. Electron. Agric., 2024

SEDIT: Space-Efficient Discriminative Bit Tree for Hybrid Memory Indexing.

Zexuan Li, Yuanjin Lin, Kaixin Huang, Kuankuan Guo, Linpeng Huang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Qi Jia, Risheng Liu, Xin Fan

Pattern Recognit., 2023

A High-efficient Battery Charging System for Electric Vehicle.

Zexuan Li

CoRR, 2023

2022

How Do Injected Bugs Affect Deep Learning?

Li Jia, Hao Zhong, Xiaoyin Wang, Linpeng Huang, Zexuan Li

Proceedings of the IEEE International Conference on Software Analysis, 2022

2021

An Empirical Study on Obsolete Issue Reports.

Zexuan Li, Hao Zhong

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Understanding Code Fragments with Issue Reports.

Zexuan Li, Hao Zhong

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Revisiting Textual Feature of Bug-Triage Approach.

Zexuan Li, Hao Zhong

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Asian Conference on Machine Learning, 2021

2020

An empirical study on API parameter rules.

Hao Zhong, Na Meng, Zexuan Li, Li Jia

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020