Zhiqiang Li

According to our database, Zhiqiang Li authored at least 26 papers between 2016 and 2025.

Collaborative distances:

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

2025

Decision Preference Networks in Ensemble Classification learning: Focusing on decision preferences and influences.

Xiaoning Li, Min Guo, Kaiguang Wang, Chengwei Wu, Cai Dai, Zhiqiang Li

Inf. Process. Manag., 2025

LLVMTuner: Predictive Compiler Optimization for LLVM IR Across Heterogeneous Platforms.

XiaoAo Zhu, Jie Ren, Zhiqiang Li, Feng Tian, Jie Zheng, Ling Gao

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024

An empirical study of data sampling techniques for just-in-time software defect prediction.

Zhiqiang Li, Qiannan Du, Hongyu Zhang, Xiao-Yuan Jing, Fei Wu

Autom. Softw. Eng., November, 2024

Software defect prediction: future directions and challenges.

Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing

Autom. Softw. Eng., June, 2024

Modeling and Analysis of ETC Control System with Colored Petri Net and Dynamic Slicing.

Wangyang Yu, Jinming Kong, Zhijun Ding, Xiaojun Zhai, Zhiqiang Li, Qi Guo

ACM Trans. Embed. Comput. Syst., January, 2024

Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning.

Weihang Chen, Jie Ren, Zhiqiang Li, Ling Gao, Zheng Wang

CoRR, 2024

OptLLM: Optimal Assignment of Queries to Large Language Models.

Yueyue Liu, Hongyu Zhang, Yuantian Miao, Van-Hoang Le, Zhiqiang Li

Proceedings of the IEEE International Conference on Web Services, 2024

CPLS: Optimizing the Assignment of LLM Queries.

Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Local Search-based Approach for Cost-effective Job Assignment on Large Language Models.

Yueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study.

Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao

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

An Efficient Online Learning Approach for Super-Resolution in Dynamic Environments.

Rongqing Liu, Zhiqiang Li, Feng Tian, Jie Zheng, Rui Cao, Chuanyuan Zhao, Jie Ren

Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

2023

DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction.

Zhiqiang Li, Hongyu Zhang, Xiao-Yuan Jing, Juanying Xie, Min Guo, Jie Ren

IEEE Trans. Software Eng., April, 2023

2022

Data sampling and kernel manifold discriminant alignment for mixed-project heterogeneous defect prediction.

Jingwen Niu, Zhiqiang Li, Haowen Chen, Xiwei Dong, Xiao-Yuan Jing

Softw. Qual. J., 2022

Adaptive Model Selection for Video Super Resolution.

Chenge Jia, Jie Ren, Ling Gao, Zhiqiang Li, Jie Zheng, Zheng Wang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

An Empirical Study on Heterogeneous Defect Prediction Approaches.

Haowen Chen, Xiao-Yuan Jing, Zhiqiang Li, Di Wu, Yi Peng, Zhiguo Huang

IEEE Trans. Software Eng., 2021

Cross-Project Defect Prediction via Landmark Selection-Based Kernelized Discriminant Subspace Alignment.

Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing, Wangyang Yu, Chao Qi

IEEE Trans. Reliab., 2021

Deep Neural Network Based Chinese Dialect Classification.

Miao Wan, Jie Ren, Miao Ma, Zhiqiang Li, Rui Cao, Quanli Gao

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2019

On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction.

Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying

IEEE Trans. Software Eng., 2019

Heterogeneous defect prediction with two-stage ensemble learning.

Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang, Baowen Xu, Shi Ying

Autom. Softw. Eng., 2019

Discriminant Subspace Alignment for Cross-Project Defect Prediction.

Zhiqiang Li, Chao Qi, Li Zhang, Jie Ren

Proceedings of the 2019 IEEE SmartWorld, 2019

2018

Heterogeneous fault prediction with cost-sensitive domain adaptation.

Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu

Softw. Test. Verification Reliab., 2018

Progress on approaches to software defect prediction.

Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu

IET Softw., 2018

Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction.

Zhiqiang Li, Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Baowen Xu, Shi Ying

Autom. Softw. Eng., 2018

2017

Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning.

Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2016

Multi-Label Dictionary Learning for Image Annotation.

Xiao-Yuan Jing, Fei Wu, Zhiqiang Li, Ruimin Hu, David Zhang

IEEE Trans. Image Process., 2016

Multi-spectral low-rank structured dictionary learning for face recognition.

Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Xiwei Dong, Fei Ma, Zhiqiang Li

Pattern Recognit., 2016