ESmodels: An Inference Engine of Epistemic Specifications. - Zhizheng Zhang 002; Kaikai Zhao; Rongcun Cui (ICTAI, 2013)

Facial Expression Data Constructed with Kinect and Their Clustering Stability. - Angdy Erna; Linli Yu; Kaikai Zhao; Wei Chen; Einoshin Suzuki (AMT, 2014)

ESmodels: An Epistemic Specification Solver. - Zhizheng Zhang 002; Kaikai Zhao (CoRR, 2014)

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. - Kaikai Zhao; Einoshin Suzuki (ISMIS, 2015)

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. - Kaikai Zhao; Tetsu Matsukawa; Einoshin Suzuki (ICPR, 2018)

Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses. - Jingjing Chen; Youjiao Si; Kaikai Zhao; Xianglong Shi; Weiqun Bi; Shi-en Liu; Hui Hua (BMC Medical Imaging, 2018)

Large-scale k-means clustering via variance reduction. - Yawei Zhao; Yuewei Ming; Xinwang Liu 002; En Zhu; Kaikai Zhao; Jianping Yin (Neurocomputing, 2018)

Efficient Multiple Kernel k-Means Clustering With Late Fusion. - Siwei Wang 001; En Zhu; Jingtao Hu; Miaomiao Li 001; Kaikai Zhao; Ning Hu; Xinwang Liu 002 (IEEE Access, 2019)

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. - Kaikai Zhao; Tetsu Matsukawa; Einoshin Suzuki (J. Intell. Inf. Syst., 2019)

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. - Kaikai Zhao; Takashi Imaseki; Hiroshi Mouri; Einoshin Suzuki; Tetsu Matsukawa (ICPR, 2020)

Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network. - Hao Xiao; Kaikai Zhao; Guangzhu Liu (IEICE Trans. Inf. Syst., 2021)

A Waste Copper Granules Rating System Based on Machine Vision. - Kaikai Zhao; Yajie Cui; Zhaoxiang Liu; Shiguo Lian (CoRR, 2022)

Application-Driven AI Paradigm for Human Action Recognition. - Zezhou Chen; Yajie Cui; Kaikai Zhao; Zhaoxiang Liu; Shiguo Lian (CoRR, 2022)

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. - Yubo Shao; Kaikai Zhao; Zhiwen Cao; Zhehao Peng; Xingang Peng; Pan Li 005; Yijie Wang; Jianzhu Ma (Sensors, 2022)

KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer. - Kaikai Zhao; Norimichi Ukita (CoRR, 2023)

Self-supervised Visual Anomaly Detection with Image Patch Generation and Comparison Networks. - Jianfeng Huang; Kaikai Zhao; Chenyang Li; Yimin Lin; Zhaoxiang Liu; Kai Wang 012; Shiguo Lian (ICIC (10), 2024)

What is the Best Model? Application-Driven Evaluation for Large Language Models. - Shiguo Lian; Kaikai Zhao; Xinhui Liu; Xuejiao Lei; Bikun Yang; Wenjing Zhang 006; Kai Wang 012; Zhaoxiang Liu (NLPCC (3), 2024)

A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal. - Zhiyu Ji; Kaikai Zhao; Zhaoxiang Liu; Huan Hu; Zhongheng Sun; Shiguo Lian (IEEE Access, 2024)

CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models. - Wenjing Zhang 006; Xuejiao Lei; Zhaoxiang Liu; Meijuan An; Bikun Yang; Kaikai Zhao; Kai Wang 012; Shiguo Lian (CoRR, 2024)

Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis. - Kaikai Zhao; Zhaoxiang Liu; Xuejiao Lei; Ning Wang; Zhenhong Long; Jiaojiao Zhao; Zipeng Wang; Peijun Yang; Minjie Hua; Chaoyang Ma; Wen Liu; Kai Wang 012; et al. (CoRR, 2025)