Objects
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu, Xu, Baowen, Ying, Shi. Institute of Electrical and Electronics Engineers (IEEE); 2019. On the multiple sources and privacy preservation issues for heterogeneous defect prediction.
Li, Zhiqiang, Zhang, Hongyu, Jing, Xiao-Yuan, Xie, Juanying, Guo, Min, Ren, Jie. Institute of Electrical and Electronics Engineers (IEEE); 2023. DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction.
Liu, Yueyue, Zhang, Hongyu, Le, Van-Hoang, Miao, Yuantian, Li, Zhiqiang. ACM; 2024. Local search-based approach for cost-effective job assignment on large language models.
Yang, Bo, Chen, Yushan, Li, Zhiqiang, Tang, Pengfei, Tang, Youhong, Zhang, Yaping, Nie, Xiaoqing, Fang, Cheng, Li, Xiaodong, Zhang, Hongping. Elsevier; 2020. Konjac glucomannan/polyvinyl alcohol nanofibers with enhanced skin healing properties by improving fibrinogen adsorption.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2017. Heterogeneous defect prediction through multiple kernel learning and ensemble learning.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu, Xu, Baowen, Ying, Shi. Springer; 2019. Heterogeneous defect prediction with two-stage ensemble learning.
Liu, Yueyue, Zhang, Hongyu, Li, Zhiqiang, Miao, Yuantian. Association for Computing Machinery; 2024. Optimizing the utilization of Large Language Models via schedule optimization: an exploratory study.