Kaikai Zhao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Cosine Similarity

Top Venues

IEICE Trans. Inf. Syst.

Publications

Zhiyu Ji, Kaikai Zhao, Zhaoxiang Liu, Huan Hu, Zhongheng Sun, Shiguo Lian
A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal. IEEE Access 12 (2024)
Jianfeng Huang, Kaikai Zhao, Chenyang Li, Yimin Lin, Zhaoxiang Liu, Kai Wang, Shiguo Lian
Self-supervised Visual Anomaly Detection with Image Patch Generation and Comparison Networks. ICIC (10) (2024)
Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu, Meijuan An, Bikun Yang, Kaikai Zhao, Kai Wang, Shiguo Lian
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models. CoRR (2024)
Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu
What is the best model? Application-driven Evaluation for Large Language Models. CoRR (2024)
Kaikai Zhao, Norimichi Ukita
KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer. CoRR (2023)
Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian
A Waste Copper Granules Rating System Based on Machine Vision. CoRR (2022)
Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma
MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. Sensors 22 (11) (2022)
Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian
Application-Driven AI Paradigm for Human Action Recognition. CoRR (2022)
Hao Xiao, Kaikai Zhao, Guangzhu Liu
Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network. IEICE Trans. Inf. Syst. (5) (2021)
Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa
From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR (2020)
Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7 (2019)
Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. 52 (2) (2019)
Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin
Large-scale k-means clustering via variance reduction. Neurocomputing 307 (2018)
Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR (2018)
Jingjing Chen, Youjiao Si, Kaikai Zhao, Xianglong Shi, Weiqun Bi, Shi-en Liu, Hui Hua
Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses. BMC Medical Imaging 18 (1) (2018)
Kaikai Zhao, Einoshin Suzuki
Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. ISMIS (2015)
Zhizheng Zhang, Kaikai Zhao
ESmodels: An Epistemic Specification Solver. CoRR (2014)
Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki
Facial Expression Data Constructed with Kinect and Their Clustering Stability. AMT (2014)
Zhizheng Zhang, Kaikai Zhao, Rongcun Cui
ESmodels: An Inference Engine of Epistemic Specifications. ICTAI (2013)