An optimized data storage strategy by computational performance and monetary cost with data importance in the cloud. - Kangkang Zhao; Dong Yuan 001; Ying Xie 002; Li Yan; Rongbin Xu (CSCWD, 2017)

A Novel Data Set Importance Based Cost-Effective and Computation-Efficient Storage Strategy in the Cloud. - Rongbin Xu; Kangkang Zhao; Pengfei Zhang; Dong Yuan 001; Ying Xie 002; Yun Yang 001 (ICWS, 2017)

A Framework for Classifying Temporal Relations with Question Encoder. - Yohei Seki; Kangkang Zhao; Masaki Oguni; Kazunari Sugiyama (ICADL, 2020)

CNN-based framework for classifying temporal relations with question encoder. - Yohei Seki; Kangkang Zhao; Masaki Oguni; Kazunari Sugiyama (Int. J. Digit. Libr., 2022)

LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning. - Kangkang Zhao; Ziyan Zhang; Bo Jiang 002; Jin Tang 001 (Neural Networks, 2022)

RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification. - Bo Jiang 002; Kangkang Zhao; Jin Tang 001 (IEEE Signal Process. Lett., 2022)

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark. - Liang Xu; Anqi Li 002; Lei Zhu; Hang Xue; Changtai Zhu; Kangkang Zhao; Haonan He; Xuanwei Zhang; Qiyue Kang; Zhenzhong Lan (CoRR, 2023)

SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese. - Liang Xu; Kangkang Zhao; Lei Zhu; Hang Xue (CoRR, 2023)

SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese. - Liang Xu; Hang Xue; Lei Zhu; Kangkang Zhao (CoRR, 2024)

Filling generative adversarial network: a novel intelligent machinery diagnostic method towards extremely limited data. - Cuiying Lin; Yun Kong; Kangkang Zhao; Qinkai Han; Mingming Dong; Hui Liu; Fulei Chu (Adv. Eng. Informatics, 2025)