Multi-spectral low-rank structured dictionary learning for face recognition. - Xiao-Yuan Jing; Fei Wu 004; Xiaoke Zhu; Xiwei Dong; Fei Ma 004; Zhiqiang Li 003 (Pattern Recognit., 2016)

Multi-Label Dictionary Learning for Image Annotation. - Xiao-Yuan Jing; Fei Wu 004; Zhiqiang Li 003; Ruimin Hu; David Zhang 001 (IEEE Trans. Image Process., 2016)

Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning. - Zhiqiang Li 003; Xiao-Yuan Jing; Xiaoke Zhu; Hongyu Zhang 002 (ICSME, 2017)

Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction. - Zhiqiang Li 003; Xiao-Yuan Jing; Fei Wu 004; Xiaoke Zhu; Baowen Xu; Shi Ying (Autom. Softw. Eng., 2018)

Progress on approaches to software defect prediction. - Zhiqiang Li 003; Xiao-Yuan Jing; Xiaoke Zhu (IET Softw., 2018)

Heterogeneous fault prediction with cost-sensitive domain adaptation. - Zhiqiang Li 003; Xiao-Yuan Jing; Xiaoke Zhu (Softw. Test. Verification Reliab., 2018)

Discriminant Subspace Alignment for Cross-Project Defect Prediction. - Zhiqiang Li 003; Chao Qi; Li Zhang; Jie Ren 007 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Heterogeneous defect prediction with two-stage ensemble learning. - Zhiqiang Li 003; Xiao-Yuan Jing; Xiaoke Zhu; Hongyu Zhang 002; Baowen Xu; Shi Ying (Autom. Softw. Eng., 2019)

On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction. - Zhiqiang Li 003; Xiao-Yuan Jing; Xiaoke Zhu; Hongyu Zhang 002; Baowen Xu; Shi Ying (IEEE Trans. Software Eng., 2019)

Deep Neural Network Based Chinese Dialect Classification. - Miao Wan; Jie Ren 007; Miao Ma; Zhiqiang Li 003; Rui Cao 003; Quanli Gao (CBD, 2021)

Cross-Project Defect Prediction via Landmark Selection-Based Kernelized Discriminant Subspace Alignment. - Zhiqiang Li 003; Jingwen Niu; Xiao-Yuan Jing; Wangyang Yu 001; Chao Qi (IEEE Trans. Reliab., 2021)

An Empirical Study on Heterogeneous Defect Prediction Approaches. - Haowen Chen; Xiao-Yuan Jing; Zhiqiang Li 003; Di Wu 014; Yi Peng; Zhiguo Huang (IEEE Trans. Software Eng., 2021)

Adaptive Model Selection for Video Super Resolution. - Chenge Jia; Jie Ren 007; Ling Gao; Zhiqiang Li 003; Jie Zheng 005; Zheng Wang 001 (HPCC/DSS/SmartCity/DependSys, 2022)

Data sampling and kernel manifold discriminant alignment for mixed-project heterogeneous defect prediction. - Jingwen Niu; Zhiqiang Li 003; Haowen Chen; Xiwei Dong; Xiao-Yuan Jing (Softw. Qual. J., 2022)

DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction. - Zhiqiang Li 003; Hongyu Zhang 002; Xiao-Yuan Jing; Juanying Xie; Min Guo; Jie Ren 007 (IEEE Trans. Software Eng., 2023)

An Efficient Online Learning Approach for Super-Resolution in Dynamic Environments. - Rongqing Liu; Zhiqiang Li 003; Feng Tian 005; Jie Zheng 005; Rui Cao 003; Chuanyuan Zhao; Jie Ren 007 (CBD, 2024)

Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. - Yueyue Liu; Hongyu Zhang 002; Zhiqiang Li 003; Yuantian Miao (ESEM, 2024)

Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. - Yueyue Liu; Hongyu Zhang 002; Van-Hoang Le; Yuantian Miao; Zhiqiang Li 003 (GECCO Companion, 2024)

CPLS: Optimizing the Assignment of LLM Queries. - Yueyue Liu; Hongyu Zhang 002; Zhiqiang Li 003; Yuantian Miao (ICSME, 2024)

OptLLM: Optimal Assignment of Queries to Large Language Models. - Yueyue Liu; Hongyu Zhang 002; Yuantian Miao; Van-Hoang Le; Zhiqiang Li 003 (ICWS, 2024)

Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning. - Weihang Chen; Jie Ren 007; Zhiqiang Li 003; Ling Gao; Zheng Wang 001 (CoRR, 2024)

Modeling and Analysis of ETC Control System with Colored Petri Net and Dynamic Slicing. - Wangyang Yu 001; Jinming Kong; Zhijun Ding; Xiaojun Zhai; Zhiqiang Li 003; Qi Guo (ACM Trans. Embed. Comput. Syst., 2024)

Software defect prediction: future directions and challenges. - Zhiqiang Li 003; Jingwen Niu; Xiao-Yuan Jing (Autom. Softw. Eng., 2024)

An empirical study of data sampling techniques for just-in-time software defect prediction. - Zhiqiang Li 003; Qiannan Du; Hongyu Zhang 002; Xiao-Yuan Jing; Fei Wu 004 (Autom. Softw. Eng., 2024)

LLVMTuner: Predictive Compiler Optimization for LLVM IR Across Heterogeneous Platforms. - XiaoAo Zhu; Jie Ren 007; Zhiqiang Li 003; Feng Tian 005; Jie Zheng 005; Ling Gao (CSCWD, 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 003 (Inf. Process. Manag., 2025)